Date: 2019-12-26 01:24:26 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 17630 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 = 4)
Dimension of the input matrix:
mat = get_matrix(res_list)
dim(mat)
#> [1] 17630 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 | ||
|---|---|---|---|---|---|---|
| CV:mclust | 2 | 1.000 | 0.978 | 0.990 | ** | |
| MAD:kmeans | 2 | 1.000 | 0.972 | 0.989 | ** | |
| MAD:pam | 2 | 1.000 | 0.976 | 0.990 | ** | |
| ATC:kmeans | 2 | 1.000 | 0.993 | 0.997 | ** | |
| ATC:NMF | 2 | 1.000 | 0.983 | 0.993 | ** | |
| SD:kmeans | 3 | 1.000 | 0.963 | 0.984 | ** | 2 |
| ATC:skmeans | 3 | 1.000 | 0.953 | 0.973 | ** | 2 |
| CV:NMF | 3 | 0.975 | 0.947 | 0.979 | ** | 2 |
| SD:skmeans | 5 | 0.973 | 0.933 | 0.966 | ** | 2,4 |
| MAD:mclust | 2 | 0.958 | 0.936 | 0.972 | ** | |
| SD:pam | 2 | 0.958 | 0.929 | 0.973 | ** | |
| CV:skmeans | 5 | 0.945 | 0.917 | 0.963 | * | 2,3,4 |
| ATC:pam | 5 | 0.941 | 0.888 | 0.950 | * | 2 |
| CV:pam | 3 | 0.941 | 0.948 | 0.977 | * | 2 |
| SD:NMF | 4 | 0.937 | 0.915 | 0.964 | * | 2,3 |
| MAD:NMF | 4 | 0.929 | 0.907 | 0.960 | * | 2 |
| MAD:skmeans | 6 | 0.913 | 0.825 | 0.927 | * | 2,3,4,5 |
| CV:kmeans | 2 | 0.726 | 0.939 | 0.949 | ||
| SD:mclust | 2 | 0.712 | 0.938 | 0.967 | ||
| ATC:mclust | 2 | 0.603 | 0.843 | 0.921 | ||
| ATC:hclust | 2 | 0.520 | 0.797 | 0.900 | ||
| CV:hclust | 3 | 0.441 | 0.696 | 0.854 | ||
| SD:hclust | 2 | 0.350 | 0.770 | 0.879 | ||
| MAD:hclust | 2 | 0.343 | 0.776 | 0.879 |
**: 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 0.974 0.990 0.479 0.521 0.521
#> CV:NMF 2 0.996 0.956 0.983 0.488 0.512 0.512
#> MAD:NMF 2 1.000 0.969 0.987 0.485 0.515 0.515
#> ATC:NMF 2 1.000 0.983 0.993 0.490 0.511 0.511
#> SD:skmeans 2 1.000 0.987 0.995 0.489 0.511 0.511
#> CV:skmeans 2 1.000 0.969 0.988 0.487 0.513 0.513
#> MAD:skmeans 2 1.000 0.984 0.994 0.490 0.509 0.509
#> ATC:skmeans 2 1.000 0.990 0.996 0.489 0.511 0.511
#> SD:mclust 2 0.712 0.938 0.967 0.485 0.515 0.515
#> CV:mclust 2 1.000 0.978 0.990 0.484 0.520 0.520
#> MAD:mclust 2 0.958 0.936 0.972 0.479 0.515 0.515
#> ATC:mclust 2 0.603 0.843 0.921 0.489 0.506 0.506
#> SD:kmeans 2 1.000 0.986 0.994 0.471 0.530 0.530
#> CV:kmeans 2 0.726 0.939 0.949 0.461 0.524 0.524
#> MAD:kmeans 2 1.000 0.972 0.989 0.475 0.527 0.527
#> ATC:kmeans 2 1.000 0.993 0.997 0.471 0.530 0.530
#> SD:pam 2 0.958 0.929 0.973 0.455 0.536 0.536
#> CV:pam 2 1.000 0.980 0.987 0.464 0.533 0.533
#> MAD:pam 2 1.000 0.976 0.990 0.450 0.549 0.549
#> ATC:pam 2 1.000 0.987 0.995 0.449 0.554 0.554
#> SD:hclust 2 0.350 0.770 0.879 0.448 0.530 0.530
#> CV:hclust 2 0.280 0.558 0.747 0.343 0.813 0.813
#> MAD:hclust 2 0.343 0.776 0.879 0.448 0.529 0.529
#> ATC:hclust 2 0.520 0.797 0.900 0.464 0.506 0.506
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.972 0.940 0.976 0.340 0.773 0.590
#> CV:NMF 3 0.975 0.947 0.979 0.320 0.768 0.579
#> MAD:NMF 3 0.842 0.880 0.946 0.329 0.776 0.593
#> ATC:NMF 3 0.682 0.858 0.866 0.284 0.805 0.638
#> SD:skmeans 3 0.890 0.934 0.966 0.350 0.798 0.617
#> CV:skmeans 3 1.000 0.977 0.991 0.343 0.795 0.615
#> MAD:skmeans 3 0.994 0.953 0.982 0.345 0.795 0.611
#> ATC:skmeans 3 1.000 0.953 0.973 0.331 0.819 0.651
#> SD:mclust 3 0.824 0.838 0.919 0.281 0.854 0.724
#> CV:mclust 3 0.896 0.912 0.958 0.330 0.798 0.623
#> MAD:mclust 3 0.661 0.812 0.891 0.330 0.777 0.589
#> ATC:mclust 3 0.584 0.650 0.813 0.297 0.788 0.601
#> SD:kmeans 3 1.000 0.963 0.984 0.338 0.809 0.650
#> CV:kmeans 3 0.766 0.916 0.934 0.327 0.809 0.651
#> MAD:kmeans 3 0.830 0.851 0.929 0.372 0.780 0.593
#> ATC:kmeans 3 0.685 0.648 0.860 0.372 0.711 0.499
#> SD:pam 3 0.849 0.883 0.951 0.346 0.794 0.634
#> CV:pam 3 0.941 0.948 0.977 0.282 0.878 0.772
#> MAD:pam 3 0.849 0.917 0.959 0.408 0.817 0.669
#> ATC:pam 3 0.840 0.910 0.955 0.405 0.779 0.609
#> SD:hclust 3 0.345 0.539 0.759 0.371 0.693 0.491
#> CV:hclust 3 0.441 0.696 0.854 0.573 0.620 0.539
#> MAD:hclust 3 0.350 0.580 0.734 0.394 0.708 0.496
#> ATC:hclust 3 0.524 0.763 0.856 0.312 0.836 0.687
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.937 0.915 0.964 0.1529 0.833 0.575
#> CV:NMF 4 0.763 0.814 0.860 0.1435 0.853 0.615
#> MAD:NMF 4 0.929 0.907 0.960 0.1433 0.832 0.576
#> ATC:NMF 4 0.657 0.744 0.848 0.1586 0.843 0.605
#> SD:skmeans 4 0.988 0.955 0.977 0.1066 0.899 0.715
#> CV:skmeans 4 0.962 0.915 0.961 0.1141 0.895 0.711
#> MAD:skmeans 4 0.983 0.955 0.978 0.1059 0.904 0.728
#> ATC:skmeans 4 0.853 0.825 0.906 0.0795 0.917 0.771
#> SD:mclust 4 0.814 0.807 0.910 0.1075 0.872 0.692
#> CV:mclust 4 0.704 0.687 0.838 0.1040 0.901 0.727
#> MAD:mclust 4 0.809 0.800 0.905 0.0717 0.871 0.673
#> ATC:mclust 4 0.667 0.765 0.866 0.1255 0.838 0.585
#> SD:kmeans 4 0.715 0.604 0.798 0.1401 0.881 0.693
#> CV:kmeans 4 0.682 0.656 0.810 0.1442 0.952 0.877
#> MAD:kmeans 4 0.679 0.632 0.686 0.1127 0.905 0.740
#> ATC:kmeans 4 0.766 0.840 0.918 0.1335 0.785 0.468
#> SD:pam 4 0.720 0.802 0.899 0.1461 0.877 0.696
#> CV:pam 4 0.777 0.712 0.870 0.1966 0.834 0.614
#> MAD:pam 4 0.887 0.900 0.952 0.1019 0.899 0.744
#> ATC:pam 4 0.752 0.735 0.826 0.1278 0.889 0.712
#> SD:hclust 4 0.434 0.527 0.685 0.1380 0.843 0.614
#> CV:hclust 4 0.434 0.510 0.745 0.2082 0.905 0.799
#> MAD:hclust 4 0.408 0.427 0.623 0.1248 0.905 0.745
#> ATC:hclust 4 0.541 0.673 0.804 0.0919 0.973 0.929
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.719 0.641 0.830 0.0524 0.945 0.805
#> CV:NMF 5 0.792 0.824 0.889 0.0679 0.859 0.541
#> MAD:NMF 5 0.721 0.659 0.833 0.0513 0.950 0.823
#> ATC:NMF 5 0.716 0.696 0.824 0.0664 0.889 0.633
#> SD:skmeans 5 0.973 0.933 0.966 0.0642 0.933 0.760
#> CV:skmeans 5 0.945 0.917 0.963 0.0719 0.933 0.761
#> MAD:skmeans 5 0.922 0.928 0.959 0.0652 0.932 0.759
#> ATC:skmeans 5 0.817 0.769 0.840 0.0593 0.951 0.842
#> SD:mclust 5 0.679 0.530 0.760 0.1025 0.862 0.588
#> CV:mclust 5 0.782 0.756 0.846 0.1002 0.865 0.562
#> MAD:mclust 5 0.673 0.617 0.775 0.0895 0.956 0.863
#> ATC:mclust 5 0.606 0.583 0.774 0.0390 0.961 0.868
#> SD:kmeans 5 0.756 0.792 0.871 0.0847 0.818 0.464
#> CV:kmeans 5 0.687 0.570 0.680 0.0844 0.800 0.481
#> MAD:kmeans 5 0.803 0.787 0.839 0.0774 0.865 0.583
#> ATC:kmeans 5 0.705 0.591 0.748 0.0588 0.946 0.805
#> SD:pam 5 0.851 0.822 0.923 0.0896 0.900 0.682
#> CV:pam 5 0.772 0.696 0.873 0.0733 0.944 0.800
#> MAD:pam 5 0.856 0.875 0.934 0.0883 0.916 0.739
#> ATC:pam 5 0.941 0.888 0.950 0.0876 0.888 0.649
#> SD:hclust 5 0.492 0.460 0.690 0.0706 0.858 0.569
#> CV:hclust 5 0.587 0.576 0.767 0.0942 0.848 0.640
#> MAD:hclust 5 0.461 0.416 0.646 0.0727 0.787 0.427
#> ATC:hclust 5 0.567 0.606 0.752 0.0515 0.972 0.921
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.711 0.589 0.769 0.0404 0.875 0.563
#> CV:NMF 6 0.857 0.795 0.899 0.0435 0.928 0.690
#> MAD:NMF 6 0.701 0.557 0.749 0.0440 0.881 0.582
#> ATC:NMF 6 0.801 0.744 0.874 0.0517 0.827 0.403
#> SD:skmeans 6 0.892 0.811 0.921 0.0416 0.950 0.784
#> CV:skmeans 6 0.894 0.833 0.917 0.0472 0.949 0.779
#> MAD:skmeans 6 0.913 0.825 0.927 0.0428 0.949 0.778
#> ATC:skmeans 6 0.879 0.891 0.919 0.0533 0.923 0.729
#> SD:mclust 6 0.718 0.684 0.809 0.0637 0.895 0.603
#> CV:mclust 6 0.728 0.619 0.768 0.0328 0.950 0.783
#> MAD:mclust 6 0.696 0.630 0.796 0.0781 0.864 0.557
#> ATC:mclust 6 0.597 0.593 0.724 0.0408 0.935 0.778
#> SD:kmeans 6 0.882 0.868 0.913 0.0470 0.962 0.825
#> CV:kmeans 6 0.719 0.705 0.810 0.0554 0.900 0.598
#> MAD:kmeans 6 0.894 0.881 0.919 0.0433 0.951 0.782
#> ATC:kmeans 6 0.702 0.597 0.707 0.0429 0.892 0.585
#> SD:pam 6 0.867 0.819 0.922 0.0751 0.923 0.681
#> CV:pam 6 0.823 0.766 0.876 0.0650 0.901 0.610
#> MAD:pam 6 0.754 0.719 0.857 0.0690 0.908 0.651
#> ATC:pam 6 0.839 0.831 0.899 0.0337 0.962 0.839
#> SD:hclust 6 0.542 0.450 0.665 0.0399 0.921 0.688
#> CV:hclust 6 0.603 0.611 0.729 0.0281 0.953 0.848
#> MAD:hclust 6 0.523 0.468 0.643 0.0471 0.914 0.659
#> ATC:hclust 6 0.593 0.596 0.702 0.0527 0.924 0.806
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 17630 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 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 0.350 0.770 0.879 0.4478 0.530 0.530
#> 3 3 0.345 0.539 0.759 0.3709 0.693 0.491
#> 4 4 0.434 0.527 0.685 0.1380 0.843 0.614
#> 5 5 0.492 0.460 0.690 0.0706 0.858 0.569
#> 6 6 0.542 0.450 0.665 0.0399 0.921 0.688
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.8081 0.743002 0.248 0.752
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.6887 0.762418 0.816 0.184
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.7299 0.791318 0.204 0.796
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.7376 0.787936 0.208 0.792
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0376 0.860050 0.004 0.996
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.4161 0.855385 0.084 0.916
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.8499 0.641770 0.724 0.276
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.8813 0.590174 0.700 0.300
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.858658 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.8763 0.676617 0.296 0.704
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.6887 0.762562 0.816 0.184
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.7815 0.708124 0.768 0.232
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.8443 0.648049 0.728 0.272
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.9635 0.480279 0.388 0.612
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0376 0.860050 0.004 0.996
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.7299 0.790246 0.204 0.796
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.1184 0.861081 0.016 0.984
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.848485 1.000 0.000
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#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 2 0.0000 0.858658 0.000 1.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.848485 1.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.9209 0.523635 0.664 0.336
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 1 0.8909 0.584371 0.692 0.308
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0938 0.849685 0.988 0.012
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.848485 1.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 2 0.9661 0.446676 0.392 0.608
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.848485 1.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.8861 0.665650 0.304 0.696
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.3431 0.858529 0.064 0.936
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.6887 0.762562 0.816 0.184
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.5178 0.843048 0.116 0.884
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0376 0.849483 0.996 0.004
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 2 0.0000 0.858658 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0376 0.849340 0.996 0.004
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.7674 0.773708 0.224 0.776
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.6623 0.815613 0.172 0.828
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 2 0.0000 0.858658 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.0000 0.858658 0.000 1.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.5737 0.834505 0.136 0.864
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.0000 0.858658 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 2 0.0000 0.858658 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.0000 0.858658 0.000 1.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 2 0.0000 0.858658 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.6887 0.762562 0.816 0.184
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 2 0.0000 0.858658 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.2948 0.857043 0.052 0.948
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0938 0.861184 0.012 0.988
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0376 0.860050 0.004 0.996
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0376 0.849483 0.996 0.004
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.2948 0.857043 0.052 0.948
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.8267 0.719690 0.260 0.740
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0376 0.860050 0.004 0.996
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.6438 0.818671 0.164 0.836
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.9129 0.620942 0.328 0.672
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.0000 0.858658 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.2236 0.845950 0.964 0.036
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 2 0.9580 0.477157 0.380 0.620
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.7602 0.726794 0.780 0.220
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.8861 0.662037 0.304 0.696
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.7139 0.748832 0.804 0.196
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.848485 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.4022 0.855573 0.080 0.920
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0672 0.849707 0.992 0.008
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0672 0.860627 0.008 0.992
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.4690 0.822433 0.900 0.100
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.858658 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.4161 0.854752 0.084 0.916
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.9983 0.160609 0.476 0.524
#> BF513557-1518-4843-9F62-837B557D4CAB 1 0.9661 0.368247 0.608 0.392
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0376 0.849483 0.996 0.004
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.7745 0.764775 0.228 0.772
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.1414 0.849081 0.980 0.020
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0376 0.860050 0.004 0.996
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.858658 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.848485 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 1 0.9775 0.305017 0.588 0.412
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.848485 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.7815 0.761364 0.232 0.768
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.848485 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.4690 0.845476 0.100 0.900
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.858658 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.9881 0.218033 0.564 0.436
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.5519 0.838359 0.128 0.872
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.848485 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.9881 0.217809 0.564 0.436
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.858658 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0376 0.849483 0.996 0.004
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.4161 0.853284 0.084 0.916
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0938 0.861184 0.012 0.988
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.7056 0.758389 0.808 0.192
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0672 0.860627 0.008 0.992
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.858658 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.8661 0.689676 0.288 0.712
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.858658 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.8386 0.660188 0.732 0.268
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.848485 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.5408 0.839846 0.124 0.876
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.6247 0.786905 0.844 0.156
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.8763 0.676617 0.296 0.704
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.858658 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.1184 0.848599 0.984 0.016
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0672 0.860784 0.008 0.992
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.848485 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.7376 0.786035 0.208 0.792
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0376 0.860050 0.004 0.996
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.8499 0.641770 0.724 0.276
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.5946 0.795946 0.856 0.144
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.8861 0.665650 0.304 0.696
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.9635 0.391459 0.612 0.388
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0938 0.860865 0.012 0.988
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.848485 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.848485 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.848485 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.7139 0.794214 0.196 0.804
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.848485 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.848485 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.6148 0.826897 0.152 0.848
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.8207 0.733538 0.256 0.744
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.8661 0.689676 0.288 0.712
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.8267 0.730567 0.260 0.740
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.4815 0.848928 0.104 0.896
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0938 0.861184 0.012 0.988
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.8016 0.747118 0.244 0.756
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.7950 0.752207 0.240 0.760
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.9000 0.641415 0.316 0.684
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.7056 0.797971 0.192 0.808
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.4690 0.845476 0.100 0.900
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.8608 0.637070 0.716 0.284
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.4022 0.855681 0.080 0.920
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.848485 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.858658 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.6623 0.815613 0.172 0.828
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0376 0.860050 0.004 0.996
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.7883 0.751752 0.236 0.764
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.5178 0.845573 0.116 0.884
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.858658 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.4453 0.600201 0.012 0.836 0.152
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.6848 0.574073 0.568 0.416 0.016
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.5774 0.591107 0.020 0.748 0.232
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.6452 0.568290 0.032 0.704 0.264
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.6235 0.259955 0.000 0.564 0.436
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.6305 0.064226 0.000 0.516 0.484
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.7164 -0.306434 0.452 0.524 0.024
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 2 0.6540 -0.085677 0.408 0.584 0.008
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0237 0.756604 0.000 0.004 0.996
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.5267 0.601595 0.044 0.816 0.140
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.6962 0.576449 0.568 0.412 0.020
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.6944 -0.399485 0.468 0.516 0.016
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.7382 -0.328497 0.456 0.512 0.032
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.6590 0.565967 0.132 0.756 0.112
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.5882 0.412360 0.000 0.348 0.652
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.5536 0.602238 0.024 0.776 0.200
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 3 0.6291 0.065342 0.000 0.468 0.532
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.836051 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.5137 0.587407 0.064 0.832 0.104
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.6482 0.743325 0.680 0.296 0.024
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.5708 0.603776 0.028 0.768 0.204
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.756197 0.000 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.836051 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.6777 0.654877 0.616 0.364 0.020
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.3482 0.717510 0.000 0.128 0.872
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.5115 0.604959 0.016 0.796 0.188
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.5591 0.555453 0.000 0.304 0.696
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.1753 0.850775 0.952 0.048 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.6192 0.296348 0.000 0.580 0.420
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.4642 0.566833 0.060 0.856 0.084
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.836051 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.8213 0.000971 0.344 0.568 0.088
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.4178 0.845306 0.828 0.172 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.4796 0.641144 0.000 0.220 0.780
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.1411 0.848010 0.964 0.036 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.6215 0.277052 0.000 0.572 0.428
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.4589 0.606116 0.008 0.820 0.172
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.8138 -0.348655 0.452 0.480 0.068
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.5016 0.573777 0.000 0.760 0.240
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.6235 0.259955 0.000 0.564 0.436
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.3482 0.718089 0.000 0.128 0.872
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.5355 0.590869 0.032 0.800 0.168
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.3879 0.589518 0.000 0.848 0.152
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 2 0.5692 0.502883 0.176 0.784 0.040
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.8268 0.055853 0.328 0.576 0.096
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.5988 0.370327 0.000 0.368 0.632
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.3941 0.588167 0.000 0.844 0.156
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.6247 0.372784 0.004 0.620 0.376
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.2066 0.853392 0.940 0.060 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0592 0.841327 0.988 0.012 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.8268 0.055853 0.328 0.576 0.096
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.6308 0.105088 0.000 0.508 0.492
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.6299 0.160439 0.000 0.524 0.476
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.6215 0.277052 0.000 0.572 0.428
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.4452 0.671442 0.000 0.192 0.808
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.5008 0.605721 0.016 0.804 0.180
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.6154 0.319667 0.000 0.592 0.408
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.6468 0.209211 0.004 0.552 0.444
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.4346 0.840911 0.816 0.184 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.6057 0.724522 0.656 0.340 0.004
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#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 3 0.5058 0.608728 0.000 0.244 0.756
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.756197 0.000 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.0237 0.756604 0.000 0.004 0.996
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.756197 0.000 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.6962 0.576449 0.568 0.412 0.020
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.756197 0.000 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.3784 0.705505 0.004 0.132 0.864
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 3 0.6302 -0.000824 0.000 0.480 0.520
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.6244 0.248474 0.000 0.560 0.440
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.3686 0.853704 0.860 0.140 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.4575 0.681837 0.004 0.184 0.812
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.4411 0.589739 0.016 0.844 0.140
#> D5E8379B-621C-4551-9B13-E63B1B068488 3 0.6309 -0.077767 0.000 0.500 0.500
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.5115 0.579492 0.004 0.768 0.228
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.6291 0.591980 0.080 0.768 0.152
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.756197 0.000 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.3482 0.847097 0.872 0.128 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 2 0.4569 0.563666 0.068 0.860 0.072
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 2 0.6954 -0.441883 0.484 0.500 0.016
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.5407 0.585017 0.040 0.804 0.156
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.7121 0.547459 0.548 0.428 0.024
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.1411 0.848010 0.964 0.036 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.6180 0.454583 0.008 0.660 0.332
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.3879 0.851394 0.848 0.152 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.6244 0.247250 0.000 0.560 0.440
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.6057 0.724522 0.656 0.340 0.004
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 3 0.5560 0.523537 0.000 0.300 0.700
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.6155 0.460610 0.008 0.664 0.328
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.5677 0.519414 0.160 0.792 0.048
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.7150 0.149259 0.348 0.616 0.036
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.3686 0.853704 0.860 0.140 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.5708 0.603776 0.028 0.768 0.204
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.4887 0.823364 0.772 0.228 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.6252 0.237978 0.000 0.556 0.444
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.4178 0.687080 0.000 0.172 0.828
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.836051 1.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.7306 0.215034 0.340 0.616 0.044
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.836051 1.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.5147 0.608419 0.020 0.800 0.180
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0424 0.838553 0.992 0.008 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 3 0.6205 0.492015 0.008 0.336 0.656
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.5058 0.608728 0.000 0.244 0.756
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.6026 0.365784 0.244 0.732 0.024
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.5404 0.550170 0.004 0.740 0.256
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0237 0.838017 0.996 0.004 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 2 0.5659 0.354065 0.248 0.740 0.012
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.4235 0.685346 0.000 0.176 0.824
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.3686 0.853704 0.860 0.140 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.6339 0.429667 0.008 0.360 0.632
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.6309 0.078324 0.000 0.504 0.496
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.6786 0.545345 0.540 0.448 0.012
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.6252 0.237363 0.000 0.556 0.444
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.1289 0.751832 0.000 0.032 0.968
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.5222 0.602676 0.040 0.816 0.144
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.756197 0.000 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.8691 0.394811 0.452 0.444 0.104
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.1860 0.853027 0.948 0.052 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.5480 0.544044 0.004 0.732 0.264
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.6777 0.654877 0.616 0.364 0.020
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.5267 0.601595 0.044 0.816 0.140
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.756197 0.000 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.3482 0.837266 0.872 0.128 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.6308 0.104059 0.000 0.508 0.492
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0592 0.841327 0.988 0.012 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.6252 0.544565 0.024 0.708 0.268
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 3 0.6260 0.118659 0.000 0.448 0.552
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.7164 -0.306434 0.452 0.524 0.024
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.6587 0.608120 0.568 0.424 0.008
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.5634 0.599456 0.056 0.800 0.144
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.7499 0.130235 0.360 0.592 0.048
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.6215 0.277052 0.000 0.572 0.428
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.836051 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.836051 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.1163 0.847478 0.972 0.028 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.4575 0.601344 0.004 0.812 0.184
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.836051 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0237 0.838017 0.996 0.004 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.6421 0.258741 0.004 0.572 0.424
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.5292 0.605294 0.028 0.800 0.172
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.5222 0.602676 0.040 0.816 0.144
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.5514 0.614852 0.044 0.800 0.156
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.6600 0.402851 0.012 0.604 0.384
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 3 0.6302 -0.000824 0.000 0.480 0.520
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.4514 0.598922 0.012 0.832 0.156
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.5053 0.608718 0.024 0.812 0.164
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.4930 0.595621 0.044 0.836 0.120
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.4682 0.599933 0.004 0.804 0.192
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.6205 0.492015 0.008 0.336 0.656
#> A280A4AF-0687-40CA-8804-C6173B33E732 2 0.7213 -0.223761 0.420 0.552 0.028
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.6180 0.454251 0.008 0.660 0.332
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.2066 0.853769 0.940 0.060 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.756197 0.000 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.5731 0.584058 0.020 0.752 0.228
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.6260 0.235333 0.000 0.552 0.448
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.3941 0.588167 0.000 0.844 0.156
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.5785 0.508584 0.004 0.696 0.300
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.756197 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.4804 0.45400 0.000 0.708 0.016 0.276
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 4 0.8146 0.35051 0.360 0.196 0.020 0.424
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.4544 0.56493 0.000 0.788 0.048 0.164
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.5833 0.54390 0.000 0.692 0.096 0.212
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.5763 0.53933 0.000 0.700 0.204 0.096
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.6620 0.37703 0.000 0.576 0.320 0.104
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 4 0.8332 0.48124 0.220 0.280 0.032 0.468
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 4 0.8050 0.35756 0.320 0.228 0.012 0.440
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.1474 0.79240 0.000 0.052 0.948 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.4936 0.41293 0.000 0.700 0.020 0.280
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 4 0.8324 0.36467 0.352 0.200 0.028 0.420
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 4 0.7843 0.47681 0.232 0.236 0.016 0.516
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 4 0.8328 0.47334 0.228 0.268 0.032 0.472
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.6159 0.22541 0.040 0.624 0.016 0.320
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.5935 0.01299 0.000 0.496 0.468 0.036
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.3948 0.58556 0.000 0.828 0.036 0.136
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.6023 0.40955 0.000 0.612 0.328 0.060
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0376 0.78116 0.992 0.000 0.004 0.004
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.5648 0.29367 0.004 0.640 0.032 0.324
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.7873 0.00374 0.480 0.136 0.028 0.356
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.4716 0.53239 0.000 0.764 0.040 0.196
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.1389 0.79262 0.000 0.048 0.952 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0376 0.78116 0.992 0.000 0.004 0.004
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.8039 -0.17053 0.432 0.176 0.020 0.372
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.4567 0.65368 0.000 0.244 0.740 0.016
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.3813 0.56339 0.000 0.828 0.024 0.148
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.6276 0.38220 0.000 0.380 0.556 0.064
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.1930 0.79487 0.936 0.004 0.004 0.056
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.5744 0.55067 0.000 0.708 0.184 0.108
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.5388 0.00477 0.000 0.456 0.012 0.532
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0376 0.78116 0.992 0.000 0.004 0.004
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 4 0.8132 0.49069 0.108 0.308 0.068 0.516
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.5035 0.71749 0.748 0.056 0.000 0.196
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.5558 0.43588 0.000 0.364 0.608 0.028
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.1398 0.79395 0.956 0.004 0.000 0.040
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.5653 0.54903 0.000 0.712 0.192 0.096
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.3853 0.55646 0.000 0.820 0.020 0.160
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 4 0.8747 0.47097 0.284 0.208 0.060 0.448
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.3935 0.61422 0.000 0.840 0.060 0.100
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.5763 0.53933 0.000 0.700 0.204 0.096
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.4535 0.65771 0.000 0.240 0.744 0.016
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.5788 0.35800 0.004 0.608 0.032 0.356
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.5220 0.35458 0.000 0.632 0.016 0.352
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 4 0.7197 0.26581 0.104 0.368 0.012 0.516
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 4 0.8064 0.47637 0.096 0.312 0.072 0.520
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.6149 -0.02132 0.000 0.480 0.472 0.048
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.5220 0.35753 0.000 0.632 0.016 0.352
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.7117 0.44757 0.000 0.556 0.264 0.180
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.2610 0.79606 0.900 0.012 0.000 0.088
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0524 0.78641 0.988 0.004 0.000 0.008
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 4 0.8064 0.47637 0.096 0.312 0.072 0.520
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.5864 0.49704 0.000 0.664 0.264 0.072
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.5910 0.51504 0.000 0.672 0.244 0.084
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.5653 0.54903 0.000 0.712 0.192 0.096
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.5453 0.52412 0.000 0.320 0.648 0.032
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.3443 0.56246 0.000 0.848 0.016 0.136
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.5665 0.55560 0.000 0.716 0.176 0.108
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.7212 0.34107 0.000 0.516 0.324 0.160
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.5327 0.68870 0.720 0.060 0.000 0.220
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.7348 0.18194 0.472 0.124 0.008 0.396
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.5716 0.53541 0.000 0.700 0.212 0.088
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.5883 0.56476 0.004 0.708 0.108 0.180
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.3164 0.62147 0.000 0.884 0.064 0.052
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.7153 0.38155 0.000 0.532 0.308 0.160
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.6879 0.50624 0.000 0.596 0.216 0.188
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.6202 0.58646 0.000 0.672 0.172 0.156
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.5890 0.49229 0.000 0.660 0.268 0.072
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.5648 0.29367 0.004 0.640 0.032 0.324
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#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 4 0.8324 0.36467 0.352 0.200 0.028 0.420
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.3164 0.62147 0.000 0.884 0.064 0.052
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.4238 0.76538 0.796 0.028 0.000 0.176
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.1576 0.79076 0.000 0.048 0.948 0.004
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.3760 0.77013 0.836 0.028 0.000 0.136
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.6536 0.52666 0.008 0.660 0.144 0.188
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.3697 0.61258 0.000 0.852 0.048 0.100
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.1389 0.79262 0.000 0.048 0.952 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.1474 0.79240 0.000 0.052 0.948 0.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.2675 0.61836 0.000 0.908 0.044 0.048
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 3 0.5923 0.37940 0.000 0.376 0.580 0.044
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.1389 0.79262 0.000 0.048 0.952 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.1474 0.79240 0.000 0.052 0.948 0.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.1474 0.79189 0.000 0.052 0.948 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 4 0.8324 0.36467 0.352 0.200 0.028 0.420
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.1389 0.79262 0.000 0.048 0.952 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.4171 0.72119 0.000 0.116 0.824 0.060
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.5836 0.45305 0.000 0.640 0.304 0.056
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.5705 0.54045 0.000 0.704 0.204 0.092
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.4149 0.76909 0.804 0.028 0.000 0.168
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.5007 0.68075 0.000 0.172 0.760 0.068
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.5443 0.32130 0.004 0.616 0.016 0.364
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.5697 0.48247 0.000 0.664 0.280 0.056
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.3198 0.60903 0.000 0.880 0.040 0.080
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.5967 0.34642 0.012 0.644 0.040 0.304
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.1389 0.79262 0.000 0.048 0.952 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.5276 0.64795 0.748 0.056 0.008 0.188
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 4 0.5678 0.03468 0.008 0.448 0.012 0.532
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 4 0.7826 0.42052 0.284 0.208 0.012 0.496
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.6294 0.33765 0.004 0.624 0.076 0.296
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 4 0.8400 0.37399 0.336 0.220 0.028 0.416
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.1398 0.79395 0.956 0.004 0.000 0.040
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.5906 0.56242 0.004 0.704 0.104 0.188
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.4508 0.75259 0.780 0.036 0.000 0.184
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.5646 0.54211 0.000 0.708 0.204 0.088
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.7343 0.19347 0.476 0.124 0.008 0.392
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 3 0.6200 0.16983 0.000 0.444 0.504 0.052
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.5868 0.56488 0.004 0.708 0.104 0.184
#> 1FB9316D-4674-4D97-A33B-649F53D09487 4 0.7056 0.23512 0.088 0.392 0.012 0.508
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.8175 -0.44965 0.200 0.412 0.020 0.368
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.4149 0.76909 0.804 0.028 0.000 0.168
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.4716 0.53239 0.000 0.764 0.040 0.196
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.5549 0.65383 0.672 0.048 0.000 0.280
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.5716 0.53541 0.000 0.700 0.212 0.088
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.4797 0.63012 0.000 0.260 0.720 0.020
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0376 0.78116 0.992 0.000 0.004 0.004
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.8002 -0.41928 0.188 0.440 0.016 0.356
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0376 0.78116 0.992 0.000 0.004 0.004
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.3881 0.54055 0.000 0.812 0.016 0.172
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0657 0.78455 0.984 0.000 0.004 0.012
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 3 0.6832 0.42124 0.000 0.296 0.572 0.132
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.5923 0.37940 0.000 0.376 0.580 0.044
#> A541B123-A51C-4EF0-839E-8A9513311C98 4 0.7393 0.38581 0.132 0.376 0.008 0.484
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.2670 0.62075 0.000 0.908 0.052 0.040
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0376 0.78414 0.992 0.000 0.004 0.004
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 4 0.7586 0.38902 0.164 0.304 0.012 0.520
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.5161 0.57017 0.000 0.300 0.676 0.024
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.4238 0.76538 0.796 0.028 0.000 0.176
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.6867 0.27736 0.000 0.384 0.508 0.108
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.5810 0.49183 0.000 0.660 0.276 0.064
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 4 0.8108 0.27294 0.372 0.204 0.016 0.408
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.5681 0.53889 0.000 0.704 0.208 0.088
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.2799 0.76579 0.000 0.108 0.884 0.008
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.4983 0.42172 0.000 0.704 0.024 0.272
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.1389 0.79262 0.000 0.048 0.952 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 4 0.8710 0.46085 0.256 0.192 0.072 0.480
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.2329 0.79761 0.916 0.012 0.000 0.072
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.2840 0.62082 0.000 0.900 0.056 0.044
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.8039 -0.17053 0.432 0.176 0.020 0.372
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.4936 0.41293 0.000 0.700 0.020 0.280
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.1389 0.79262 0.000 0.048 0.952 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.4077 0.68798 0.800 0.012 0.004 0.184
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.5825 0.49552 0.000 0.664 0.268 0.068
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0376 0.78713 0.992 0.004 0.000 0.004
#> C543A527-3E25-4389-9722-E9325C733243 2 0.6685 0.47884 0.000 0.616 0.160 0.224
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.5773 0.39025 0.000 0.620 0.336 0.044
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 4 0.8332 0.48124 0.220 0.280 0.032 0.468
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 4 0.7824 0.27976 0.336 0.168 0.016 0.480
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.5240 0.39786 0.004 0.688 0.024 0.284
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.8075 -0.46754 0.196 0.400 0.016 0.388
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.5653 0.54903 0.000 0.712 0.192 0.096
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0376 0.78116 0.992 0.000 0.004 0.004
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0376 0.78116 0.992 0.000 0.004 0.004
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.1396 0.79192 0.960 0.004 0.004 0.032
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.3606 0.56778 0.000 0.840 0.020 0.140
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0376 0.78116 0.992 0.000 0.004 0.004
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0376 0.78414 0.992 0.000 0.004 0.004
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.7153 0.38155 0.000 0.532 0.308 0.160
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.4956 0.48158 0.000 0.732 0.036 0.232
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.4983 0.42172 0.000 0.704 0.024 0.272
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.4684 0.51188 0.008 0.756 0.016 0.220
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.5021 0.59895 0.000 0.756 0.180 0.064
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.5836 0.45305 0.000 0.640 0.304 0.056
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.4776 0.45491 0.000 0.712 0.016 0.272
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.4163 0.52217 0.000 0.792 0.020 0.188
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.5689 0.33797 0.004 0.656 0.040 0.300
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.3863 0.57196 0.000 0.828 0.028 0.144
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.6832 0.42124 0.000 0.296 0.572 0.132
#> A280A4AF-0687-40CA-8804-C6173B33E732 4 0.7960 0.52920 0.228 0.244 0.020 0.508
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.5883 0.56476 0.004 0.708 0.108 0.180
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.2542 0.79700 0.904 0.012 0.000 0.084
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.1389 0.79262 0.000 0.048 0.952 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.3697 0.61258 0.000 0.852 0.048 0.100
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.5867 0.52827 0.000 0.688 0.216 0.096
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.5220 0.35753 0.000 0.632 0.016 0.352
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.5199 0.63240 0.000 0.756 0.144 0.100
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.1389 0.79262 0.000 0.048 0.952 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.5861 3.53e-01 0.000 0.148 0.000 0.592 0.260
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.6836 2.03e-02 0.232 0.524 0.000 0.024 0.220
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 4 0.5123 9.54e-02 0.000 0.476 0.028 0.492 0.004
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.5495 9.99e-02 0.000 0.464 0.052 0.480 0.004
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.1942 6.51e-01 0.000 0.000 0.068 0.920 0.012
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 4 0.6778 3.85e-01 0.000 0.244 0.248 0.496 0.012
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.4021 2.54e-01 0.108 0.808 0.000 0.008 0.076
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.7527 5.44e-01 0.252 0.128 0.000 0.120 0.500
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0290 8.03e-01 0.000 0.000 0.992 0.008 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.4735 2.41e-01 0.000 0.608 0.008 0.372 0.012
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.6522 7.78e-02 0.216 0.576 0.000 0.024 0.184
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.5671 -6.95e-02 0.060 0.564 0.000 0.012 0.364
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.3719 2.41e-01 0.116 0.816 0.000 0.000 0.068
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.5216 3.57e-01 0.020 0.648 0.000 0.296 0.036
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.4570 3.99e-01 0.000 0.020 0.348 0.632 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.5014 2.40e-01 0.000 0.412 0.008 0.560 0.020
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.4522 6.15e-01 0.000 0.068 0.196 0.736 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0324 7.68e-01 0.992 0.000 0.000 0.004 0.004
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.4502 3.25e-01 0.000 0.668 0.008 0.312 0.012
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 2 0.5804 -2.87e-02 0.352 0.544 0.000 0.000 0.104
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.5151 1.71e-02 0.000 0.512 0.024 0.456 0.008
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 8.02e-01 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0324 7.68e-01 0.992 0.000 0.000 0.004 0.004
#> B7A23896-4182-48D3-A1D9-92C781BF283F 2 0.6175 -4.94e-02 0.344 0.508 0.000 0.000 0.148
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.4232 5.35e-01 0.000 0.012 0.676 0.312 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 4 0.4807 1.26e-01 0.000 0.464 0.008 0.520 0.008
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.6156 1.58e-01 0.000 0.116 0.480 0.400 0.004
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.2112 7.85e-01 0.908 0.004 0.000 0.004 0.084
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.1774 6.49e-01 0.000 0.000 0.052 0.932 0.016
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.5218 5.50e-01 0.000 0.060 0.000 0.336 0.604
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0324 7.68e-01 0.992 0.000 0.000 0.004 0.004
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.2116 2.88e-01 0.008 0.912 0.000 0.004 0.076
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.5461 6.82e-01 0.652 0.104 0.000 0.004 0.240
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.4549 1.74e-01 0.000 0.008 0.528 0.464 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.1981 7.85e-01 0.920 0.016 0.000 0.000 0.064
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.1740 6.51e-01 0.000 0.000 0.056 0.932 0.012
#> 745233F1-DF41-4DDA-9146-1666DD59355E 4 0.4802 8.93e-02 0.000 0.480 0.004 0.504 0.012
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.7558 -8.49e-02 0.168 0.488 0.024 0.036 0.284
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.4538 3.84e-01 0.000 0.348 0.004 0.636 0.012
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.1942 6.51e-01 0.000 0.000 0.068 0.920 0.012
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.4325 5.50e-01 0.000 0.012 0.684 0.300 0.004
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.5759 1.30e-01 0.000 0.076 0.008 0.560 0.356
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.4886 9.17e-02 0.000 0.032 0.000 0.596 0.372
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.5770 6.24e-01 0.048 0.064 0.000 0.224 0.664
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.1864 2.92e-01 0.004 0.924 0.000 0.004 0.068
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.5142 3.97e-01 0.000 0.052 0.348 0.600 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.4734 1.03e-01 0.000 0.024 0.000 0.604 0.372
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.6816 2.13e-05 0.000 0.412 0.240 0.344 0.004
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#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.6608 4.00e-01 0.000 0.264 0.536 0.184 0.016
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.6957 2.08e-01 0.064 0.412 0.004 0.076 0.444
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.2052 6.01e-01 0.000 0.004 0.004 0.912 0.080
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.2983 7.86e-01 0.864 0.040 0.000 0.000 0.096
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 8.02e-01 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 4 0.4473 4.17e-01 0.000 0.324 0.000 0.656 0.020
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.2189 6.51e-01 0.000 0.000 0.084 0.904 0.012
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.4734 1.03e-01 0.000 0.024 0.000 0.604 0.372
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 4 0.5439 4.72e-01 0.000 0.288 0.064 0.636 0.012
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 8.02e-01 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.5872 0.01007 0.000 0.180 0.000 0.472 0.344 0.004
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.7174 -0.41312 0.200 0.420 0.000 0.004 0.092 0.284
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.4378 0.32360 0.000 0.588 0.016 0.388 0.008 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.5202 0.26711 0.000 0.552 0.036 0.384 0.020 0.008
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0363 0.66481 0.000 0.000 0.012 0.988 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 4 0.6489 0.22115 0.000 0.320 0.224 0.432 0.020 0.004
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.5332 -0.07265 0.092 0.648 0.000 0.000 0.036 0.224
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.7082 0.28861 0.216 0.124 0.000 0.028 0.524 0.108
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0260 0.79913 0.000 0.000 0.992 0.008 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.3724 0.47910 0.000 0.716 0.000 0.268 0.004 0.012
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.6911 -0.38470 0.188 0.448 0.000 0.004 0.068 0.292
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 6 0.5396 0.46356 0.008 0.412 0.000 0.000 0.088 0.492
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.5608 -0.11811 0.108 0.612 0.000 0.000 0.036 0.244
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.5193 0.50751 0.020 0.680 0.000 0.212 0.020 0.068
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.4463 0.49725 0.000 0.056 0.292 0.652 0.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.5057 0.17150 0.000 0.504 0.000 0.436 0.048 0.012
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.4364 0.62107 0.000 0.112 0.140 0.740 0.008 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0363 0.69621 0.988 0.000 0.000 0.000 0.000 0.012
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.4043 0.50003 0.000 0.740 0.000 0.212 0.012 0.036
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 2 0.6726 -0.45646 0.332 0.368 0.000 0.000 0.036 0.264
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.3861 0.39192 0.000 0.640 0.008 0.352 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.79826 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0363 0.69621 0.988 0.000 0.000 0.000 0.000 0.012
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.6810 -0.39110 0.336 0.336 0.000 0.000 0.040 0.288
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.4012 0.45134 0.000 0.016 0.640 0.344 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.4325 0.29545 0.000 0.568 0.000 0.412 0.016 0.004
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.6126 0.05482 0.000 0.160 0.436 0.388 0.012 0.004
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.2147 0.71619 0.896 0.000 0.000 0.000 0.020 0.084
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0922 0.65615 0.000 0.004 0.004 0.968 0.024 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.3900 0.66660 0.000 0.044 0.000 0.188 0.760 0.008
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0363 0.69621 0.988 0.000 0.000 0.000 0.000 0.012
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.4284 0.03168 0.000 0.688 0.000 0.000 0.056 0.256
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.5435 0.53985 0.616 0.028 0.000 0.000 0.096 0.260
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.4184 -0.02875 0.000 0.012 0.484 0.504 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.1858 0.71382 0.912 0.000 0.000 0.000 0.012 0.076
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0291 0.66476 0.000 0.004 0.004 0.992 0.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.4219 0.33305 0.000 0.592 0.000 0.388 0.020 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.7836 -0.50174 0.152 0.356 0.000 0.020 0.188 0.284
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.4721 0.02466 0.000 0.464 0.004 0.496 0.036 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0363 0.66481 0.000 0.000 0.012 0.988 0.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.4034 0.47298 0.000 0.012 0.648 0.336 0.004 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.5562 0.37580 0.000 0.080 0.008 0.436 0.468 0.008
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.4589 0.42549 0.000 0.036 0.000 0.460 0.504 0.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.4619 0.62633 0.016 0.048 0.000 0.100 0.768 0.068
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.4033 0.08158 0.000 0.724 0.000 0.000 0.052 0.224
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.5014 0.49847 0.000 0.084 0.284 0.624 0.008 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.4534 0.40635 0.000 0.032 0.000 0.472 0.496 0.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.6312 0.26227 0.000 0.504 0.224 0.248 0.008 0.016
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.2704 0.70932 0.844 0.000 0.000 0.000 0.016 0.140
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0458 0.70456 0.984 0.000 0.000 0.000 0.000 0.016
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.4033 0.08158 0.000 0.724 0.000 0.000 0.052 0.224
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.2585 0.67067 0.000 0.048 0.068 0.880 0.004 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.1933 0.67405 0.000 0.032 0.044 0.920 0.004 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0291 0.66476 0.000 0.004 0.004 0.992 0.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.3991 0.18090 0.000 0.004 0.524 0.472 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.4332 0.28231 0.000 0.564 0.000 0.416 0.016 0.004
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.1793 0.64266 0.000 0.016 0.008 0.932 0.040 0.004
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.6525 0.18184 0.000 0.444 0.280 0.252 0.008 0.016
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.5675 0.49378 0.588 0.032 0.000 0.000 0.108 0.272
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 6 0.6653 0.56432 0.208 0.184 0.000 0.000 0.088 0.520
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0547 0.66834 0.000 0.000 0.020 0.980 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.2889 0.56422 0.000 0.020 0.000 0.852 0.116 0.012
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 4 0.4961 0.38550 0.000 0.296 0.000 0.616 0.084 0.004
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.6517 0.19375 0.000 0.448 0.268 0.260 0.008 0.016
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.5949 0.27519 0.000 0.520 0.176 0.292 0.004 0.008
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.5253 0.12208 0.000 0.436 0.072 0.484 0.000 0.008
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.2575 0.67099 0.000 0.044 0.072 0.880 0.004 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.4043 0.50003 0.000 0.740 0.000 0.212 0.012 0.036
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.3608 0.71076 0.000 0.148 0.804 0.028 0.004 0.016
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.5472 0.52720 0.608 0.028 0.000 0.000 0.096 0.268
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.3973 0.66388 0.000 0.048 0.000 0.148 0.780 0.024
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.3308 0.66107 0.000 0.072 0.096 0.828 0.004 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.3859 0.65229 0.756 0.016 0.000 0.000 0.024 0.204
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.4810 0.29358 0.000 0.552 0.020 0.404 0.024 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.4352 0.62806 0.668 0.000 0.000 0.000 0.052 0.280
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.4011 0.59883 0.000 0.060 0.204 0.736 0.000 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.5181 0.56691 0.640 0.008 0.000 0.000 0.140 0.212
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.4129 0.49730 0.000 0.732 0.000 0.220 0.020 0.028
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 4 0.4541 0.50265 0.000 0.196 0.000 0.704 0.096 0.004
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.6575 0.15139 0.532 0.088 0.000 0.000 0.212 0.168
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.5007 0.22825 0.000 0.072 0.416 0.512 0.000 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.4507 0.62094 0.660 0.004 0.000 0.000 0.052 0.284
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.7432 0.24133 0.004 0.284 0.460 0.032 0.100 0.120
#> 7AE107A7-8EA7-4920-A579-2337C007920D 4 0.4961 0.38550 0.000 0.296 0.000 0.616 0.084 0.004
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 4 0.5634 0.46538 0.000 0.236 0.200 0.560 0.004 0.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 4 0.4825 0.04033 0.000 0.448 0.000 0.504 0.044 0.004
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0291 0.79589 0.000 0.004 0.992 0.000 0.004 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.3834 0.66886 0.000 0.048 0.000 0.172 0.772 0.008
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.6677 0.37455 0.000 0.532 0.076 0.288 0.060 0.044
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.6098 0.44479 0.016 0.596 0.000 0.248 0.068 0.072
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 4 0.4830 0.02273 0.000 0.456 0.000 0.496 0.044 0.004
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.7378 0.00416 0.092 0.508 0.000 0.052 0.148 0.200
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.4987 0.38243 0.000 0.584 0.000 0.352 0.048 0.016
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.6386 0.36330 0.000 0.312 0.504 0.144 0.020 0.020
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.5898 0.45150 0.024 0.128 0.012 0.032 0.668 0.136
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.3747 0.23207 0.000 0.000 0.396 0.604 0.000 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.5631 0.55905 0.004 0.072 0.004 0.352 0.548 0.020
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.6898 0.33200 0.072 0.588 0.000 0.124 0.084 0.132
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.2709 0.71093 0.868 0.016 0.000 0.000 0.016 0.100
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 4 0.4957 0.15672 0.000 0.412 0.000 0.520 0.068 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.5110 -0.36367 0.004 0.528 0.000 0.000 0.072 0.396
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.1152 0.71025 0.952 0.004 0.000 0.000 0.000 0.044
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.4661 0.58269 0.696 0.048 0.000 0.000 0.028 0.228
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.5253 0.12208 0.000 0.436 0.072 0.484 0.000 0.008
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.4705 0.34887 0.000 0.576 0.008 0.388 0.012 0.016
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.3584 0.44676 0.000 0.688 0.000 0.308 0.000 0.004
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.4296 0.49118 0.000 0.712 0.004 0.240 0.012 0.032
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.5674 0.05215 0.000 0.448 0.120 0.424 0.008 0.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.5261 0.58267 0.000 0.240 0.652 0.080 0.012 0.016
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0458 0.69574 0.984 0.000 0.000 0.000 0.000 0.016
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.6244 0.32618 0.484 0.024 0.000 0.000 0.192 0.300
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.2065 0.67481 0.000 0.032 0.052 0.912 0.004 0.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.4663 0.65788 0.000 0.180 0.720 0.080 0.004 0.016
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0363 0.69621 0.988 0.000 0.000 0.000 0.000 0.012
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.2968 0.70364 0.816 0.000 0.000 0.000 0.016 0.168
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.5307 0.51969 0.580 0.028 0.000 0.000 0.060 0.332
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.3724 0.47910 0.000 0.716 0.000 0.268 0.004 0.012
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.79826 0.000 0.000 1.000 0.000 0.000 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0146 0.79902 0.000 0.000 0.996 0.004 0.000 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 4 0.0547 0.66834 0.000 0.000 0.020 0.980 0.000 0.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 2 0.7174 -0.41312 0.200 0.420 0.000 0.004 0.092 0.284
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 6 0.6598 0.62110 0.132 0.320 0.000 0.000 0.076 0.472
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.6406 0.11414 0.452 0.140 0.000 0.000 0.048 0.360
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.4586 0.30594 0.000 0.560 0.000 0.408 0.020 0.012
#> 113340B4-B092-4B8C-8A13-5932525B0C33 5 0.4924 0.58624 0.012 0.072 0.004 0.072 0.752 0.088
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 4 0.4925 0.19034 0.000 0.064 0.424 0.512 0.000 0.000
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.5561 0.37875 0.000 0.576 0.000 0.316 0.060 0.048
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 3 0.3915 0.33830 0.000 0.004 0.584 0.412 0.000 0.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0713 0.70177 0.972 0.000 0.000 0.000 0.000 0.028
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.4352 0.62812 0.668 0.000 0.000 0.000 0.052 0.280
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.4963 0.58927 0.632 0.040 0.000 0.000 0.032 0.296
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 3 0.6422 0.37204 0.000 0.300 0.512 0.144 0.020 0.024
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0632 0.70667 0.976 0.000 0.000 0.000 0.000 0.024
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.5704 0.50076 0.020 0.656 0.000 0.196 0.048 0.080
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#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.2803 0.56376 0.000 0.016 0.000 0.856 0.116 0.012
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.4963 0.58927 0.632 0.040 0.000 0.000 0.032 0.296
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.0653 0.66871 0.000 0.004 0.012 0.980 0.004 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 6 0.6588 0.55432 0.216 0.180 0.000 0.000 0.080 0.524
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.3695 0.28876 0.000 0.000 0.376 0.624 0.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.2933 0.56059 0.000 0.020 0.000 0.848 0.120 0.012
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.5330 0.63085 0.004 0.092 0.000 0.116 0.700 0.088
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.7575 0.06795 0.096 0.500 0.000 0.088 0.116 0.200
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.4352 0.62812 0.668 0.000 0.000 0.000 0.052 0.280
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.3861 0.39192 0.000 0.640 0.008 0.352 0.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.6057 0.40511 0.516 0.024 0.000 0.000 0.160 0.300
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0547 0.66834 0.000 0.000 0.020 0.980 0.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.4436 0.45268 0.000 0.048 0.640 0.312 0.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0363 0.69621 0.988 0.000 0.000 0.000 0.000 0.012
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.7835 0.05173 0.084 0.464 0.000 0.100 0.156 0.196
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0363 0.69621 0.988 0.000 0.000 0.000 0.000 0.012
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.3819 0.35992 0.000 0.624 0.000 0.372 0.000 0.004
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0713 0.70177 0.972 0.000 0.000 0.000 0.000 0.028
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 3 0.6386 0.36330 0.000 0.312 0.504 0.144 0.020 0.020
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.4076 0.05423 0.000 0.008 0.452 0.540 0.000 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.6896 0.38026 0.036 0.196 0.000 0.072 0.552 0.144
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 4 0.4989 0.33952 0.000 0.328 0.000 0.592 0.076 0.004
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0363 0.69988 0.988 0.000 0.000 0.000 0.000 0.012
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.5205 0.53870 0.048 0.064 0.000 0.044 0.732 0.112
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.4184 0.30716 0.000 0.016 0.576 0.408 0.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.4526 0.61772 0.656 0.004 0.000 0.000 0.052 0.288
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.6664 0.21968 0.000 0.276 0.460 0.228 0.020 0.016
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.3318 0.65902 0.000 0.084 0.084 0.828 0.004 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 6 0.7852 0.59960 0.204 0.212 0.000 0.012 0.220 0.352
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0458 0.66942 0.000 0.000 0.016 0.984 0.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.2446 0.73393 0.000 0.012 0.864 0.124 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.3586 0.47635 0.000 0.720 0.000 0.268 0.000 0.012
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.79826 0.000 0.000 1.000 0.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 6 0.7510 0.62148 0.120 0.328 0.012 0.008 0.132 0.400
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.2260 0.71002 0.860 0.000 0.000 0.000 0.000 0.140
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.5008 0.36431 0.000 0.308 0.000 0.604 0.084 0.004
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.6810 -0.39110 0.336 0.336 0.000 0.000 0.040 0.288
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.3724 0.47910 0.000 0.716 0.000 0.268 0.004 0.012
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.79826 0.000 0.000 1.000 0.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 6 0.5993 0.15211 0.412 0.016 0.000 0.000 0.144 0.428
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.3054 0.66506 0.000 0.072 0.076 0.848 0.004 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0865 0.70923 0.964 0.000 0.000 0.000 0.000 0.036
#> C543A527-3E25-4389-9722-E9325C733243 2 0.5683 0.38733 0.000 0.600 0.132 0.244 0.004 0.020
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.3293 0.64582 0.000 0.048 0.140 0.812 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.5332 -0.07265 0.092 0.648 0.000 0.000 0.036 0.224
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 6 0.6824 0.63233 0.100 0.236 0.000 0.000 0.172 0.492
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.3795 0.48658 0.004 0.724 0.000 0.256 0.004 0.012
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.7380 0.01510 0.084 0.504 0.000 0.052 0.160 0.200
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0291 0.66476 0.000 0.004 0.004 0.992 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0458 0.69574 0.984 0.000 0.000 0.000 0.000 0.016
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0363 0.69621 0.988 0.000 0.000 0.000 0.000 0.012
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.1524 0.71297 0.932 0.000 0.000 0.000 0.008 0.060
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.4199 0.28180 0.000 0.568 0.000 0.416 0.016 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0363 0.69805 0.988 0.000 0.000 0.000 0.000 0.012
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0363 0.69988 0.988 0.000 0.000 0.000 0.000 0.012
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.6517 0.19375 0.000 0.448 0.268 0.260 0.008 0.016
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.3972 0.44981 0.000 0.680 0.016 0.300 0.000 0.004
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.3586 0.47635 0.000 0.720 0.000 0.268 0.000 0.012
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.4987 0.38243 0.000 0.584 0.000 0.352 0.048 0.016
#> 635170D3-D669-4165-B69C-9C9A246BFF11 4 0.6086 0.38134 0.000 0.320 0.084 0.536 0.056 0.004
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.3842 0.64439 0.000 0.100 0.112 0.784 0.004 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.5842 -0.01539 0.000 0.172 0.000 0.472 0.352 0.004
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.4089 0.39282 0.000 0.632 0.000 0.352 0.012 0.004
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.4032 0.49726 0.000 0.740 0.004 0.220 0.016 0.020
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.4477 0.26029 0.000 0.552 0.004 0.424 0.016 0.004
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.6386 0.36330 0.000 0.312 0.504 0.144 0.020 0.020
#> A280A4AF-0687-40CA-8804-C6173B33E732 6 0.7198 0.45841 0.032 0.284 0.000 0.032 0.248 0.404
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.2889 0.56422 0.000 0.020 0.000 0.852 0.116 0.012
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.2664 0.71146 0.848 0.000 0.000 0.000 0.016 0.136
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.79826 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 4 0.4962 0.14512 0.000 0.416 0.000 0.516 0.068 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0713 0.66527 0.000 0.000 0.028 0.972 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.4534 0.40635 0.000 0.032 0.000 0.472 0.496 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 4 0.5165 0.22750 0.000 0.388 0.044 0.544 0.024 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.79826 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17630 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 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 0.986 0.994 0.4709 0.530 0.530
#> 3 3 1.000 0.963 0.984 0.3376 0.809 0.650
#> 4 4 0.715 0.604 0.798 0.1401 0.881 0.693
#> 5 5 0.756 0.792 0.871 0.0847 0.818 0.464
#> 6 6 0.882 0.868 0.913 0.0470 0.962 0.825
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.995 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.993 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.995 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.995 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.995 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.995 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.993 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.993 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.995 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.995 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.993 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0376 0.989 0.996 0.004
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.993 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.995 0.000 1.000
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.995 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.995 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.995 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.993 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.995 0.000 1.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.993 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.995 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.995 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.993 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.993 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.995 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.995 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.995 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.993 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.995 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.0000 0.995 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.993 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.0000 0.995 0.000 1.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.993 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.995 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.993 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.995 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.995 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.993 1.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.995 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.995 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.995 0.000 1.000
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#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.993 1.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 1 0.5408 0.857 0.876 0.124
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.993 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.995 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.993 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.995 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.995 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.993 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.995 0.000 1.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.993 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.995 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.993 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.995 0.000 1.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.995 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.993 1.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.995 0.000 1.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.993 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.993 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.995 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.993 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.995 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.995 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.993 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.995 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.995 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.995 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.995 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.993 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.993 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.995 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.993 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.995 0.000 1.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.995 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.993 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.995 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.993 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.995 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.995 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.8016 0.678 0.756 0.244
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.993 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.995 0.000 1.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.4022 0.910 0.920 0.080
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.995 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.993 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.993 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.993 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.995 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.993 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.993 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.995 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.995 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.995 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.995 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.995 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.995 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.995 0.000 1.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.995 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.995 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.995 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.995 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.993 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.995 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.993 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.995 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.995 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.995 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.995 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.995 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.97772 0.000 1.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.99379 1.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.97772 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.97772 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.97772 0.000 1.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.97772 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.99379 1.000 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0237 0.99252 0.996 0.000 0.004
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0237 0.97790 0.000 0.004 0.996
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.97772 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.99379 1.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0661 0.98466 0.988 0.008 0.004
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.99379 1.000 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.97772 0.000 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.1031 0.96511 0.000 0.024 0.976
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.97772 0.000 1.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.97772 0.000 1.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.99379 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.97772 0.000 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.99379 1.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.97772 0.000 1.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0237 0.97790 0.000 0.004 0.996
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.99379 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.99379 1.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0237 0.97790 0.000 0.004 0.996
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.97772 0.000 1.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.1031 0.96511 0.000 0.024 0.976
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.99379 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.97772 0.000 1.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.0237 0.97441 0.000 0.996 0.004
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.99379 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.3690 0.87407 0.100 0.016 0.884
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.99379 1.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.1031 0.96511 0.000 0.024 0.976
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.99379 1.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.97772 0.000 1.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.97772 0.000 1.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0237 0.99252 0.996 0.000 0.004
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.97772 0.000 1.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.97772 0.000 1.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0237 0.97790 0.000 0.004 0.996
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.97772 0.000 1.000 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0237 0.97441 0.000 0.996 0.004
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0237 0.99252 0.996 0.000 0.004
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.99379 1.000 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.5948 0.44678 0.000 0.360 0.640
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0237 0.97441 0.000 0.996 0.004
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.97772 0.000 1.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.99379 1.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.99379 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.5785 0.51700 0.332 0.668 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.97772 0.000 1.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.97772 0.000 1.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.97772 0.000 1.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.0592 0.97294 0.000 0.012 0.988
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.97772 0.000 1.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.97772 0.000 1.000 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.97772 0.000 1.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0237 0.99252 0.996 0.000 0.004
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.99379 1.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.97772 0.000 1.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0000 0.97772 0.000 1.000 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.97772 0.000 1.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.97772 0.000 1.000 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.97772 0.000 1.000 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.97772 0.000 1.000 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0000 0.97772 0.000 1.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.97772 0.000 1.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0237 0.97790 0.000 0.004 0.996
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.99379 1.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0237 0.99252 0.996 0.000 0.004
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.97772 0.000 1.000 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.99379 1.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.97772 0.000 1.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.99379 1.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.4555 0.74304 0.000 0.800 0.200
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.99379 1.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.97772 0.000 1.000 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.97772 0.000 1.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.99379 1.000 0.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.0000 0.97772 0.000 1.000 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.99379 1.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.4931 0.68830 0.232 0.000 0.768
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.97772 0.000 1.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.1860 0.92819 0.000 0.948 0.052
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.97772 0.000 1.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0237 0.97790 0.000 0.004 0.996
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.0237 0.99252 0.996 0.000 0.004
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.97772 0.000 1.000 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.97772 0.000 1.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.97772 0.000 1.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.4750 0.71708 0.216 0.784 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.97772 0.000 1.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.0892 0.96777 0.000 0.020 0.980
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0237 0.99252 0.996 0.000 0.004
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.1031 0.96511 0.000 0.024 0.976
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 2 0.0237 0.97441 0.000 0.996 0.004
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.0000 0.97772 0.000 1.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.99379 1.000 0.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.97772 0.000 1.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.0237 0.97407 0.004 0.996 0.000
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.99379 1.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.99379 1.000 0.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.0000 0.97772 0.000 1.000 0.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.0000 0.97772 0.000 1.000 0.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.97772 0.000 1.000 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.97772 0.000 1.000 0.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.97772 0.000 1.000 0.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.1031 0.96511 0.000 0.024 0.976
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.99379 1.000 0.000 0.000
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#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.99379 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.97772 0.000 1.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.99379 1.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.97772 0.000 1.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0237 0.97790 0.000 0.004 0.996
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.99379 1.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.97772 0.000 1.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.99379 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.97772 0.000 1.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.97772 0.000 1.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.5905 0.43955 0.648 0.352 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0237 0.99252 0.996 0.000 0.004
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.97772 0.000 1.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0237 0.97441 0.000 0.996 0.004
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.97772 0.000 1.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.99379 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.99379 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.99379 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.97772 0.000 1.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.99379 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.99379 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.97772 0.000 1.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.97772 0.000 1.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.97772 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.97772 0.000 1.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.97772 0.000 1.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.97772 0.000 1.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.97772 0.000 1.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.97772 0.000 1.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.97772 0.000 1.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.97772 0.000 1.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.1031 0.96511 0.000 0.024 0.976
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0237 0.99252 0.996 0.000 0.004
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.97772 0.000 1.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.99379 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0237 0.97790 0.000 0.004 0.996
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.97772 0.000 1.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.97772 0.000 1.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0237 0.97441 0.000 0.996 0.004
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.97772 0.000 1.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0237 0.97790 0.000 0.004 0.996
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.4961 0.34086 0.552 0.448 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.4697 0.20736 0.356 0.644 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.4898 0.39840 0.584 0.416 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.89392 0.000 0.000 1.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 4 0.4955 0.65417 0.000 0.444 0.000 0.556
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.4661 0.51694 0.652 0.348 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.5376 0.00444 0.396 0.588 0.000 0.016
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.4961 0.34086 0.552 0.448 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.3569 0.22895 0.000 0.804 0.000 0.196
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.4961 0.52213 0.000 0.000 0.552 0.448
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.4454 0.70623 0.000 0.308 0.000 0.692
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.4972 -0.48120 0.000 0.544 0.000 0.456
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.4948 0.35794 0.560 0.440 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 4 0.4955 0.65417 0.000 0.444 0.000 0.556
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.89392 0.000 0.000 1.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.2868 0.76542 0.864 0.136 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.4543 0.65435 0.000 0.000 0.676 0.324
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 4 0.4776 0.71015 0.000 0.376 0.000 0.624
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.4643 0.62896 0.000 0.000 0.656 0.344
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.4585 0.12795 0.000 0.332 0.000 0.668
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.5306 0.32600 0.008 0.720 0.236 0.036
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.4967 0.51703 0.000 0.000 0.548 0.452
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.4746 0.06726 0.368 0.632 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.4643 0.71155 0.000 0.344 0.000 0.656
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.89392 0.000 0.000 1.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.2868 0.67138 0.000 0.136 0.000 0.864
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.3311 0.47234 0.000 0.172 0.000 0.828
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.4713 0.49953 0.640 0.360 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.4961 0.34086 0.552 0.448 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.4977 0.40357 0.000 0.000 0.540 0.460
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.1867 0.58267 0.000 0.072 0.000 0.928
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.4933 0.66661 0.000 0.432 0.000 0.568
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.3539 0.27219 0.004 0.820 0.000 0.176
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.4967 0.51868 0.000 0.000 0.548 0.452
#> DD028798-C4CB-43A8-81D7-711E015E23B5 4 0.4776 0.71015 0.000 0.376 0.000 0.624
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 2 0.4961 -0.12100 0.448 0.552 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.2149 0.79664 0.912 0.088 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.1716 0.58518 0.000 0.064 0.000 0.936
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 4 0.4955 0.65417 0.000 0.444 0.000 0.556
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 4 0.4967 0.64412 0.000 0.452 0.000 0.548
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.4888 0.68404 0.000 0.412 0.000 0.588
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 4 0.4961 0.64936 0.000 0.448 0.000 0.552
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.89392 0.000 0.000 1.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.3356 0.72031 0.824 0.176 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.4925 0.39389 0.572 0.428 0.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.2408 0.55667 0.000 0.000 0.104 0.896
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 4 0.4961 0.64936 0.000 0.448 0.000 0.552
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.4761 0.47787 0.628 0.372 0.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.6458 0.27027 0.072 0.408 0.520 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 4 0.5368 0.70598 0.000 0.340 0.024 0.636
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.89392 0.000 0.000 1.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 2 0.4977 -0.13817 0.460 0.540 0.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 4 0.4925 0.67006 0.000 0.428 0.000 0.572
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.4985 -0.50422 0.000 0.532 0.000 0.468
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.1978 0.42160 0.004 0.928 0.000 0.068
#> 3AD94D09-83F9-4E15-946F-1123E468F582 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.5359 0.52553 0.000 0.288 0.676 0.036
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 2 0.4981 -0.14746 0.464 0.536 0.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.4985 -0.37161 0.000 0.000 0.468 0.532
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 2 0.2334 0.41656 0.004 0.908 0.000 0.088
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.2973 0.32484 0.000 0.856 0.000 0.144
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0469 0.83920 0.988 0.012 0.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.3074 0.31274 0.000 0.848 0.000 0.152
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.4761 0.47878 0.628 0.372 0.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 4 0.4955 0.65417 0.000 0.444 0.000 0.556
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 4 0.4977 0.63264 0.000 0.460 0.000 0.540
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.4881 0.65595 0.000 0.196 0.756 0.048
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.2973 0.72752 0.856 0.144 0.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.0000 0.89392 0.000 0.000 1.000 0.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.2011 0.80461 0.920 0.080 0.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 4 0.4955 0.65417 0.000 0.444 0.000 0.556
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.89392 0.000 0.000 1.000 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.89392 0.000 0.000 1.000 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.4955 0.35591 0.556 0.444 0.000 0.000
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.4888 0.41219 0.588 0.412 0.000 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.4103 0.63808 0.744 0.256 0.000 0.000
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#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 2 0.4961 -0.12147 0.448 0.552 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.89392 0.000 0.000 1.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 4 0.4981 0.62623 0.000 0.464 0.000 0.536
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.89392 0.000 0.000 1.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.4830 0.45028 0.608 0.392 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.3123 0.74990 0.844 0.156 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.4972 -0.48120 0.000 0.544 0.000 0.456
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.89392 0.000 0.000 1.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.4730 0.49267 0.636 0.364 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 4 0.4961 0.64936 0.000 0.448 0.000 0.552
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.4998 0.44364 0.200 0.748 0.000 0.052
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 2 0.4998 -0.22159 0.488 0.512 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.4967 -0.47303 0.000 0.548 0.000 0.452
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.2081 0.40003 0.000 0.916 0.000 0.084
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 4 0.4955 0.65417 0.000 0.444 0.000 0.556
#> 33060001-05C9-4751-AA58-F194207ACC08 4 0.4961 0.64936 0.000 0.448 0.000 0.552
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 635170D3-D669-4165-B69C-9C9A246BFF11 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 4 0.4955 0.65417 0.000 0.444 0.000 0.556
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 4 0.4955 0.65417 0.000 0.444 0.000 0.556
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.5141 0.56358 0.000 0.268 0.700 0.032
#> A280A4AF-0687-40CA-8804-C6173B33E732 2 0.4941 -0.09281 0.436 0.564 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.1716 0.58518 0.000 0.064 0.000 0.936
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.84330 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.89392 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 4 0.4916 0.67392 0.000 0.424 0.000 0.576
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.64779 0.000 0.000 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.3486 0.43296 0.000 0.188 0.000 0.812
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 4 0.4761 0.71245 0.000 0.372 0.000 0.628
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.89392 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.4165 0.5474 0.320 0.008 0.000 0.000 0.672
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0693 0.9327 0.000 0.980 0.000 0.008 0.012
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0693 0.9327 0.000 0.980 0.000 0.008 0.012
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.2852 0.8928 0.000 0.172 0.000 0.828 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0693 0.9337 0.000 0.980 0.000 0.012 0.008
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 5 0.4972 0.5558 0.068 0.260 0.000 0.000 0.672
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.6127 0.4555 0.276 0.000 0.000 0.172 0.552
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9645 0.000 0.000 1.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9358 0.000 1.000 0.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.4302 0.5079 0.344 0.004 0.000 0.004 0.648
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.1012 0.6724 0.012 0.000 0.000 0.020 0.968
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.4109 0.5748 0.288 0.012 0.000 0.000 0.700
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.2891 0.7417 0.000 0.824 0.000 0.000 0.176
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.3742 0.7153 0.000 0.012 0.184 0.792 0.012
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0671 0.9333 0.000 0.980 0.000 0.016 0.004
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.3750 0.6218 0.000 0.756 0.000 0.232 0.012
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.1671 0.8745 0.000 0.924 0.000 0.000 0.076
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.4118 0.5340 0.336 0.004 0.000 0.000 0.660
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9358 0.000 1.000 0.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9645 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 5 0.4101 0.4784 0.372 0.000 0.000 0.000 0.628
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.3857 0.5380 0.000 0.000 0.312 0.688 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.4772 0.4487 0.000 0.012 0.352 0.624 0.012
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.2852 0.8928 0.000 0.172 0.000 0.828 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.3837 0.3033 0.000 0.000 0.000 0.692 0.308
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 5 0.4385 0.4702 0.000 0.312 0.012 0.004 0.672
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.3318 0.7234 0.000 0.012 0.180 0.808 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.2852 0.8928 0.000 0.172 0.000 0.828 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.0798 0.6720 0.016 0.008 0.000 0.000 0.976
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.2852 0.8928 0.000 0.172 0.000 0.828 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9645 0.000 0.000 1.000 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.5928 0.1387 0.000 0.548 0.000 0.328 0.124
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.6022 0.2343 0.000 0.156 0.000 0.564 0.280
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.5980 0.4884 0.240 0.000 0.000 0.176 0.584
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 5 0.4063 0.5798 0.280 0.012 0.000 0.000 0.708
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.5630 0.2420 0.000 0.048 0.436 0.504 0.012
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.4305 0.5348 0.000 0.052 0.000 0.748 0.200
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0671 0.9299 0.000 0.980 0.000 0.004 0.016
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 5 0.3913 0.4581 0.000 0.324 0.000 0.000 0.676
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.2929 0.8945 0.000 0.180 0.000 0.820 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.2929 0.8945 0.000 0.180 0.000 0.820 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.2852 0.8928 0.000 0.172 0.000 0.828 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.3318 0.7234 0.000 0.012 0.180 0.808 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.2891 0.8937 0.000 0.176 0.000 0.824 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0807 0.9309 0.000 0.976 0.000 0.012 0.012
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 5 0.1582 0.6735 0.028 0.000 0.000 0.028 0.944
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.4264 0.3073 0.620 0.000 0.000 0.004 0.376
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.2929 0.8945 0.000 0.180 0.000 0.820 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.1792 0.8185 0.000 0.084 0.000 0.916 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0671 0.9299 0.000 0.980 0.000 0.004 0.016
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0771 0.9280 0.000 0.976 0.000 0.004 0.020
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0404 0.9330 0.000 0.988 0.000 0.000 0.012
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.2929 0.8945 0.000 0.180 0.000 0.820 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0609 0.9299 0.000 0.980 0.000 0.000 0.020
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0324 0.9594 0.000 0.000 0.992 0.004 0.004
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.4341 0.3568 0.628 0.000 0.000 0.008 0.364
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.5447 0.5728 0.168 0.000 0.000 0.172 0.660
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.2929 0.8945 0.000 0.180 0.000 0.820 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0693 0.9337 0.000 0.980 0.000 0.012 0.008
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0955 0.8926 0.968 0.000 0.000 0.004 0.028
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.3842 0.8766 0.000 0.156 0.028 0.804 0.012
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0404 0.9324 0.000 0.988 0.000 0.000 0.012
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0671 0.9333 0.000 0.980 0.000 0.016 0.004
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.6155 -0.0797 0.516 0.000 0.000 0.148 0.336
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.3496 0.8689 0.000 0.200 0.000 0.788 0.012
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0162 0.9034 0.996 0.000 0.000 0.000 0.004
#> 27875588-7C41-49BB-A4C0-A66D72A12499 5 0.5844 0.0790 0.000 0.000 0.420 0.096 0.484
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.1200 0.9257 0.000 0.964 0.008 0.016 0.012
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.9645 0.000 0.000 1.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.5224 0.5948 0.140 0.000 0.000 0.176 0.684
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.9358 0.000 1.000 0.000 0.000 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0162 0.9344 0.000 0.996 0.000 0.000 0.004
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.3870 0.6060 0.004 0.732 0.000 0.004 0.260
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.4779 0.3065 0.000 0.584 0.396 0.004 0.016
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.4761 0.6222 0.104 0.000 0.000 0.168 0.728
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.3412 0.7560 0.000 0.028 0.152 0.820 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.5305 0.5980 0.000 0.152 0.000 0.172 0.676
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.3123 0.7280 0.000 0.812 0.000 0.004 0.184
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.2561 0.7701 0.856 0.000 0.000 0.000 0.144
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 5 0.3838 0.5294 0.000 0.280 0.000 0.004 0.716
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 5 0.3949 0.5365 0.332 0.000 0.000 0.000 0.668
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.3318 0.8886 0.000 0.180 0.000 0.808 0.012
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.0566 0.9357 0.000 0.984 0.000 0.012 0.004
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.9358 0.000 1.000 0.000 0.000 0.000
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#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.2929 0.8945 0.000 0.180 0.000 0.820 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.3048 0.7508 0.000 0.820 0.000 0.004 0.176
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.9645 0.000 0.000 1.000 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.3774 0.5043 0.704 0.000 0.000 0.000 0.296
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.5144 0.6007 0.132 0.000 0.000 0.176 0.692
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.3399 0.6518 0.020 0.000 0.000 0.168 0.812
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0510 0.9315 0.000 0.984 0.000 0.000 0.016
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 5 0.4109 0.5748 0.288 0.012 0.000 0.000 0.700
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.2690 0.8827 0.000 0.156 0.000 0.844 0.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 5 0.4118 0.5225 0.336 0.000 0.000 0.004 0.660
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.2929 0.8945 0.000 0.180 0.000 0.820 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.1124 0.8872 0.960 0.000 0.000 0.004 0.036
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.2929 0.8945 0.000 0.180 0.000 0.820 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.4046 0.3358 0.000 0.008 0.000 0.696 0.296
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.5446 0.5898 0.000 0.164 0.000 0.176 0.660
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.3242 0.7452 0.000 0.816 0.000 0.172 0.012
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0955 0.8926 0.968 0.000 0.000 0.004 0.028
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0162 0.9355 0.000 0.996 0.000 0.000 0.004
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0955 0.8926 0.968 0.000 0.000 0.004 0.028
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.2929 0.8945 0.000 0.180 0.000 0.820 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.5439 0.5810 0.000 0.064 0.288 0.636 0.012
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.1892 0.8696 0.000 0.916 0.000 0.080 0.004
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0566 0.9315 0.000 0.984 0.000 0.004 0.012
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.3242 0.7303 0.000 0.012 0.172 0.816 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.5229 0.6029 0.000 0.144 0.000 0.172 0.684
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0162 0.9358 0.000 0.996 0.000 0.000 0.004
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.6083 0.4584 0.260 0.000 0.000 0.176 0.564
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.3452 0.7610 0.000 0.032 0.148 0.820 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0451 0.9014 0.988 0.000 0.000 0.004 0.008
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0912 0.9324 0.000 0.972 0.000 0.012 0.016
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.2929 0.8945 0.000 0.180 0.000 0.820 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.2873 0.6628 0.020 0.000 0.000 0.120 0.860
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.2929 0.8945 0.000 0.180 0.000 0.820 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9645 0.000 0.000 1.000 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0609 0.9299 0.000 0.980 0.000 0.000 0.020
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9645 0.000 0.000 1.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.3612 0.5877 0.268 0.000 0.000 0.000 0.732
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0566 0.9349 0.000 0.984 0.000 0.012 0.004
#> 15FB165D-6751-4894-A904-C77EA723CFCB 5 0.4045 0.5094 0.356 0.000 0.000 0.000 0.644
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.1043 0.9072 0.000 0.960 0.000 0.000 0.040
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9645 0.000 0.000 1.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 5 0.4618 0.5136 0.344 0.004 0.000 0.016 0.636
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.2929 0.8945 0.000 0.180 0.000 0.820 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0609 0.9299 0.000 0.980 0.000 0.000 0.020
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.2929 0.8945 0.000 0.180 0.000 0.820 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 5 0.4118 0.4342 0.004 0.336 0.000 0.000 0.660
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.1725 0.6723 0.020 0.000 0.000 0.044 0.936
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.1410 0.8880 0.000 0.940 0.000 0.000 0.060
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.3163 0.7564 0.000 0.824 0.000 0.164 0.012
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.2852 0.8928 0.000 0.172 0.000 0.828 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0693 0.9327 0.000 0.980 0.000 0.008 0.012
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9358 0.000 1.000 0.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0162 0.9344 0.000 0.996 0.000 0.000 0.004
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0912 0.9324 0.000 0.972 0.000 0.012 0.016
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.3318 0.8886 0.000 0.180 0.000 0.808 0.012
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9358 0.000 1.000 0.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9358 0.000 1.000 0.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0451 0.9358 0.000 0.988 0.000 0.008 0.004
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.4758 0.2095 0.000 0.552 0.432 0.004 0.012
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.1626 0.6724 0.016 0.000 0.000 0.044 0.940
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.1965 0.8308 0.000 0.096 0.000 0.904 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9051 1.000 0.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9645 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9358 0.000 1.000 0.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.2852 0.8928 0.000 0.172 0.000 0.828 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.5068 0.2704 0.000 0.060 0.000 0.640 0.300
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0579 0.9342 0.000 0.984 0.000 0.008 0.008
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9645 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9201 0.000 1.000 0.000 0.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 6 0.1471 0.9107 0.064 0.000 0.000 0.000 0.004 0.932
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.3139 0.8488 0.000 0.816 0.000 0.000 0.152 0.032
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.3027 0.8528 0.000 0.824 0.000 0.000 0.148 0.028
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.1036 0.9352 0.000 0.024 0.000 0.964 0.004 0.008
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.3062 0.8514 0.000 0.824 0.000 0.000 0.144 0.032
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.1452 0.9057 0.020 0.012 0.000 0.000 0.020 0.948
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.3211 0.8548 0.056 0.000 0.000 0.000 0.824 0.120
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0146 0.9512 0.000 0.000 0.996 0.000 0.004 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0935 0.9160 0.000 0.964 0.000 0.000 0.032 0.004
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 6 0.1958 0.8818 0.100 0.000 0.000 0.004 0.000 0.896
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 6 0.2169 0.8727 0.008 0.000 0.000 0.012 0.080 0.900
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 6 0.1297 0.9153 0.040 0.000 0.000 0.000 0.012 0.948
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.1418 0.9063 0.000 0.944 0.000 0.000 0.024 0.032
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.3344 0.8331 0.000 0.000 0.032 0.828 0.120 0.020
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9201 0.000 1.000 0.000 0.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.5942 0.5113 0.000 0.564 0.000 0.256 0.148 0.032
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0260 0.9278 0.992 0.000 0.000 0.000 0.000 0.008
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.1498 0.9073 0.000 0.940 0.000 0.000 0.032 0.028
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 6 0.1327 0.9103 0.064 0.000 0.000 0.000 0.000 0.936
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0935 0.9160 0.000 0.964 0.000 0.000 0.032 0.004
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9516 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0260 0.9278 0.992 0.000 0.000 0.000 0.000 0.008
#> B7A23896-4182-48D3-A1D9-92C781BF283F 6 0.1556 0.9024 0.080 0.000 0.000 0.000 0.000 0.920
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.2006 0.8739 0.000 0.000 0.080 0.904 0.016 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9201 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.4628 0.7463 0.000 0.000 0.108 0.736 0.128 0.028
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0260 0.9278 0.992 0.000 0.000 0.000 0.000 0.008
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.1036 0.9352 0.000 0.024 0.000 0.964 0.004 0.008
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.2932 0.7766 0.000 0.000 0.000 0.164 0.820 0.016
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9275 1.000 0.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 6 0.1738 0.8642 0.000 0.016 0.004 0.000 0.052 0.928
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0260 0.9278 0.992 0.000 0.000 0.000 0.000 0.008
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.2201 0.8852 0.000 0.000 0.028 0.896 0.076 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9275 1.000 0.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.1036 0.9352 0.000 0.024 0.000 0.964 0.004 0.008
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9201 0.000 1.000 0.000 0.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 6 0.1327 0.8864 0.000 0.000 0.000 0.000 0.064 0.936
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9201 0.000 1.000 0.000 0.000 0.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.1036 0.9352 0.000 0.024 0.000 0.964 0.004 0.008
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0146 0.9512 0.000 0.000 0.996 0.000 0.004 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.5528 -0.1087 0.000 0.420 0.000 0.064 0.488 0.028
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.3613 0.7865 0.000 0.096 0.000 0.096 0.804 0.004
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.3062 0.8551 0.052 0.000 0.000 0.000 0.836 0.112
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 6 0.1074 0.9134 0.028 0.000 0.000 0.000 0.012 0.960
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.6238 0.3957 0.000 0.008 0.296 0.528 0.136 0.032
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.3861 0.7501 0.000 0.052 0.000 0.168 0.772 0.008
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.3559 0.8395 0.000 0.800 0.000 0.012 0.152 0.036
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0260 0.9278 0.992 0.000 0.000 0.000 0.000 0.008
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0260 0.9278 0.992 0.000 0.000 0.000 0.000 0.008
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 6 0.1616 0.8657 0.000 0.020 0.000 0.000 0.048 0.932
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0777 0.9352 0.000 0.024 0.000 0.972 0.000 0.004
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0632 0.9350 0.000 0.024 0.000 0.976 0.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.1036 0.9352 0.000 0.024 0.000 0.964 0.004 0.008
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.0777 0.9183 0.000 0.000 0.024 0.972 0.000 0.004
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9201 0.000 1.000 0.000 0.000 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.1149 0.9339 0.000 0.024 0.000 0.960 0.008 0.008
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.3663 0.8365 0.000 0.796 0.000 0.020 0.152 0.032
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 6 0.1663 0.8708 0.000 0.000 0.000 0.000 0.088 0.912
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 6 0.3604 0.7313 0.216 0.000 0.000 0.012 0.012 0.760
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.1036 0.9352 0.000 0.024 0.000 0.964 0.004 0.008
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.1167 0.9256 0.000 0.012 0.000 0.960 0.020 0.008
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9201 0.000 1.000 0.000 0.000 0.000 0.000
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#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.1036 0.9352 0.000 0.024 0.000 0.964 0.004 0.008
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.3336 0.7854 0.000 0.056 0.000 0.132 0.812 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.2278 0.8775 0.000 0.868 0.000 0.000 0.128 0.004
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9516 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17630 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 5.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.987 0.995 0.4888 0.511 0.511
#> 3 3 0.890 0.934 0.966 0.3496 0.798 0.617
#> 4 4 0.988 0.955 0.977 0.1066 0.899 0.715
#> 5 5 0.973 0.933 0.966 0.0642 0.933 0.760
#> 6 6 0.892 0.811 0.921 0.0416 0.950 0.784
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
#> attr(,"optional")
#> [1] 2 4
There is also optional best \(k\) = 2 4 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.999 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.989 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.999 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.999 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.999 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.999 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.989 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.989 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.999 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.999 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.989 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.989 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.989 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 1 0.8661 0.601 0.712 0.288
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.999 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.999 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.999 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.989 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.999 0.000 1.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.989 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.999 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.999 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.989 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.989 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.999 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.999 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.999 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.989 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.999 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.5294 0.861 0.880 0.120
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.989 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 1 0.0000 0.989 1.000 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.989 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.999 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.989 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.999 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.999 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.989 1.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.999 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.999 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.999 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.999 0.000 1.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0000 0.999 0.000 1.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.989 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.989 1.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0000 0.999 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.999 0.000 1.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.999 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.989 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.989 1.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.0000 0.989 1.000 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.999 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.999 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.999 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0000 0.999 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.999 0.000 1.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.999 0.000 1.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.999 0.000 1.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.989 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.989 1.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.999 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0000 0.999 0.000 1.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.999 0.000 1.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.999 0.000 1.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.999 0.000 1.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.999 0.000 1.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0000 0.999 0.000 1.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.999 0.000 1.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.0000 0.999 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.989 1.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.989 1.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.999 0.000 1.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.989 1.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.999 0.000 1.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.989 1.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.0000 0.999 0.000 1.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.989 1.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.999 0.000 1.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.999 0.000 1.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.989 1.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.0000 0.999 0.000 1.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.989 1.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.0000 0.989 1.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.999 0.000 1.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0000 0.999 0.000 1.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.999 0.000 1.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 2 0.0000 0.999 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.0000 0.989 1.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.999 0.000 1.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.6623 0.790 0.172 0.828
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.999 0.000 1.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 1 0.0000 0.989 1.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.999 0.000 1.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0000 0.999 0.000 1.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.989 1.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.0000 0.999 0.000 1.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 1 0.0000 0.989 1.000 0.000
#> 9ECB653A-A04F-457C-92FC-D13424511A47 1 0.0000 0.989 1.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.989 1.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.999 0.000 1.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 1 0.0000 0.989 1.000 0.000
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.989 1.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.989 1.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.0000 0.999 0.000 1.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.0000 0.999 0.000 1.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.999 0.000 1.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.999 0.000 1.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.999 0.000 1.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.0000 0.999 0.000 1.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.989 1.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.989 1.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 2 0.0000 0.999 0.000 1.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 2 0.0000 0.999 0.000 1.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.989 1.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.989 1.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.989 1.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0000 0.999 0.000 1.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 2 0.0000 0.999 0.000 1.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 2 0.0000 0.999 0.000 1.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 2 0.0000 0.999 0.000 1.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.0000 0.989 1.000 0.000
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.0000 0.989 1.000 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.0000 0.989 1.000 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.0000 0.999 0.000 1.000
#> 113340B4-B092-4B8C-8A13-5932525B0C33 1 0.0000 0.989 1.000 0.000
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 2 0.0000 0.999 0.000 1.000
#> 25B5E54F-5858-454C-9B23-440A82450912 1 0.0000 0.989 1.000 0.000
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 2 0.0000 0.999 0.000 1.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0000 0.989 1.000 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.0000 0.989 1.000 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.0000 0.989 1.000 0.000
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 2 0.0000 0.999 0.000 1.000
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0000 0.989 1.000 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.1414 0.979 0.020 0.980
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 2 0.0000 0.999 0.000 1.000
#> A0A24949-483B-4250-B11E-2BCE49F302AC 2 0.0000 0.999 0.000 1.000
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.0000 0.989 1.000 0.000
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 2 0.0000 0.999 0.000 1.000
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#> 0876D5B1-AA68-4E43-8BBE-9EE2CDC6879E 2 0.0000 0.999 0.000 1.000
#> D42E39B0-7962-4880-A182-4596DB01B202 2 0.0000 0.999 0.000 1.000
#> 84778027-9C8E-4364-9069-70D8B86D6916 2 0.0000 0.999 0.000 1.000
#> C635C019-A66D-42B7-911C-4D0742CAF95A 1 0.0000 0.989 1.000 0.000
#> 1667B17C-C5E2-4E65-98FF-A6DDE44CC4B6 2 0.0000 0.999 0.000 1.000
#> 1C62E679-3A4E-4D10-8BFB-5BFBF2A3B4B6 1 0.0000 0.989 1.000 0.000
#> 39777F3A-0854-4C8E-9FF4-9A1369C4733D 2 0.0000 0.999 0.000 1.000
#> AC25E68C-76EA-40E0-912F-29C632BC0996 1 0.0000 0.989 1.000 0.000
#> 3DA19761-6FF3-4E8C-AA0F-C04CE2CE7037 2 0.1633 0.975 0.024 0.976
#> 2E401C42-010F-4AFC-A362-B69426418626 1 0.0000 0.989 1.000 0.000
#> 913D6292-6507-4F86-A120-137CEACE5C9F 2 0.0000 0.999 0.000 1.000
#> F35F85A8-B3CD-4116-990F-94B2E432F902 2 0.0000 0.999 0.000 1.000
#> EEE5E45B-D2E3-4CFA-AC5F-8AE1EC2CB61C 2 0.0000 0.999 0.000 1.000
#> 7B6D13EE-FE13-4BA8-BA65-1A10307A7936 2 0.0000 0.999 0.000 1.000
#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.0000 0.999 0.000 1.000
#> A130FABA-F55F-412D-940E-7305057B4D1A 2 0.0000 0.999 0.000 1.000
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 2 0.0000 0.999 0.000 1.000
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 1 0.0000 0.989 1.000 0.000
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 1 0.0000 0.989 1.000 0.000
#> E3887082-4C43-426C-8580-ECAA4EFEC577 2 0.0000 0.999 0.000 1.000
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 1 0.0000 0.989 1.000 0.000
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 2 0.0000 0.999 0.000 1.000
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 2 0.0000 0.999 0.000 1.000
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 2 0.0000 0.999 0.000 1.000
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 1 0.0000 0.989 1.000 0.000
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.0000 0.989 1.000 0.000
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 2 0.0000 0.999 0.000 1.000
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0000 0.989 1.000 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 1 0.0000 0.989 1.000 0.000
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 2 0.0000 0.999 0.000 1.000
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.0000 0.989 1.000 0.000
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0000 0.999 0.000 1.000
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 2 0.0000 0.999 0.000 1.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 2 0.0000 0.999 0.000 1.000
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.0000 0.999 0.000 1.000
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.0000 0.989 1.000 0.000
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.989 1.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 2 0.0000 0.999 0.000 1.000
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 1 0.0000 0.989 1.000 0.000
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 2 0.0000 0.999 0.000 1.000
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0000 0.989 1.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.989 1.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.989 1.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0000 0.999 0.000 1.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 2 0.0000 0.999 0.000 1.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 2 0.0000 0.999 0.000 1.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.999 0.000 1.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 2 0.0000 0.999 0.000 1.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 2 0.0000 0.999 0.000 1.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.989 1.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 2 0.0000 0.999 0.000 1.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.989 1.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.0000 0.989 1.000 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 1 0.0000 0.989 1.000 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.989 1.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.989 1.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.0000 0.989 1.000 0.000
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.989 1.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.999 0.000 1.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0000 0.999 0.000 1.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.0000 0.989 1.000 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0000 0.999 0.000 1.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.989 1.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 2 0.0000 0.999 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.989 1.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.999 0.000 1.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.999 0.000 1.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 2 0.0000 0.999 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.0000 0.999 0.000 1.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.999 0.000 1.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.0000 0.999 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 2 0.0000 0.999 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.0000 0.999 0.000 1.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 2 0.0000 0.999 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.989 1.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 2 0.0000 0.999 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.0000 0.999 0.000 1.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0000 0.999 0.000 1.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0000 0.999 0.000 1.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.989 1.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.0000 0.999 0.000 1.000
#> D902E43A-F384-432A-B690-D20BFCC78443 1 0.0000 0.989 1.000 0.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0000 0.999 0.000 1.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.999 0.000 1.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.2236 0.962 0.036 0.964
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.0000 0.999 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.989 1.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.989 1.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.989 1.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0000 0.999 0.000 1.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.989 1.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.989 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.0000 0.999 0.000 1.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.989 1.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.999 0.000 1.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.989 1.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.999 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.9608 0.387 0.616 0.384
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.989 1.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 1 0.0000 0.989 1.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.989 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.999 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.989 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.999 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.999 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.989 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 1 0.0000 0.989 1.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.989 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.999 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.989 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.999 0.000 1.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.999 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.989 1.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.999 0.000 1.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.989 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.989 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.999 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.989 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.999 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.999 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.989 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.999 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.999 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.999 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.999 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.989 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.989 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.999 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.989 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.999 0.000 1.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.999 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.989 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.999 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.989 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.999 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.999 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.0000 0.989 1.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.989 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.999 0.000 1.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.0000 0.989 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.999 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.989 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.989 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.989 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.999 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.989 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.989 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.999 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.999 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.999 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.999 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.999 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.999 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.999 0.000 1.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.999 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.999 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.999 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.999 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.989 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.999 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.989 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.999 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.999 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.999 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.999 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.999 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.999 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9695 0.000 1.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9891 1.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9695 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9695 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 3 0.0424 0.9271 0.000 0.008 0.992
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9695 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.9891 1.000 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9891 1.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9297 0.000 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9695 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9891 1.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9891 1.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9891 1.000 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9695 0.000 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.0000 0.9297 0.000 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9695 0.000 1.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 3 0.1163 0.9187 0.000 0.028 0.972
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9891 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9695 0.000 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9891 1.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9695 0.000 1.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9297 0.000 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9891 1.000 0.000 0.000
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#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0000 0.9297 0.000 0.000 1.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0000 0.9297 0.000 0.000 1.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.9695 0.000 1.000 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0000 0.9297 0.000 0.000 1.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0000 0.9297 0.000 0.000 1.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.9891 1.000 0.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0000 0.9297 0.000 0.000 1.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.9891 1.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.0000 0.9891 1.000 0.000 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 1 0.2165 0.9243 0.936 0.064 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.9891 1.000 0.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.9891 1.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.0237 0.9855 0.996 0.000 0.004
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.9891 1.000 0.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.9695 0.000 1.000 0.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 3 0.0000 0.9297 0.000 0.000 1.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.0000 0.9891 1.000 0.000 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0000 0.9695 0.000 1.000 0.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.9891 1.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.9297 0.000 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.9891 1.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.9695 0.000 1.000 0.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.9695 0.000 1.000 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.9297 0.000 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.0000 0.9297 0.000 0.000 1.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.9695 0.000 1.000 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 3 0.0000 0.9297 0.000 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.9297 0.000 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.0000 0.9297 0.000 0.000 1.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.9297 0.000 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.9891 1.000 0.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.9297 0.000 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.0000 0.9297 0.000 0.000 1.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 3 0.5810 0.6069 0.000 0.336 0.664
#> 4D9EF242-9F58-4681-ADCF-556E05932931 3 0.4346 0.8313 0.000 0.184 0.816
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9891 1.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.0000 0.9297 0.000 0.000 1.000
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.0000 0.9695 0.000 1.000 0.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 3 0.4346 0.8313 0.000 0.184 0.816
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.9695 0.000 1.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0000 0.9695 0.000 1.000 0.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.9297 0.000 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9891 1.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.9891 1.000 0.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9891 1.000 0.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 3 0.5760 0.6223 0.000 0.328 0.672
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.9891 1.000 0.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9891 1.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 3 0.4346 0.8313 0.000 0.184 0.816
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9891 1.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 3 0.4346 0.8313 0.000 0.184 0.816
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9891 1.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 3 0.0424 0.9271 0.000 0.008 0.992
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.8823 0.3706 0.576 0.176 0.248
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.9891 1.000 0.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.2537 0.8858 0.080 0.920 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9891 1.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9695 0.000 1.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9891 1.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 3 0.4346 0.8313 0.000 0.184 0.816
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0000 0.9297 0.000 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9891 1.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.9695 0.000 1.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9891 1.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9695 0.000 1.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9891 1.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.4931 0.7045 0.000 0.768 0.232
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.0000 0.9297 0.000 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.9891 1.000 0.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9695 0.000 1.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9891 1.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9891 1.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.0000 0.9297 0.000 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9891 1.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.0000 0.9297 0.000 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 3 0.4346 0.8313 0.000 0.184 0.816
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9891 1.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 3 0.4346 0.8313 0.000 0.184 0.816
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9297 0.000 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9695 0.000 1.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9297 0.000 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9891 1.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9891 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9695 0.000 1.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9891 1.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9695 0.000 1.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9297 0.000 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9891 1.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 3 0.4346 0.8313 0.000 0.184 0.816
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9891 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9695 0.000 1.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 3 0.4346 0.8313 0.000 0.184 0.816
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.5497 0.5785 0.708 0.292 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9891 1.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9695 0.000 1.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.9695 0.000 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.6280 -0.0245 0.000 0.540 0.460
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9891 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9891 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9891 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9695 0.000 1.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9891 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9891 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0237 0.9658 0.000 0.996 0.004
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9695 0.000 1.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9695 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9695 0.000 1.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.6168 0.2710 0.000 0.412 0.588
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 3 0.4346 0.8313 0.000 0.184 0.816
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9695 0.000 1.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9695 0.000 1.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9695 0.000 1.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9695 0.000 1.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.9297 0.000 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9891 1.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 3 0.4346 0.8313 0.000 0.184 0.816
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9891 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9297 0.000 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9695 0.000 1.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 3 0.4346 0.8313 0.000 0.184 0.816
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.9695 0.000 1.000 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9695 0.000 1.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9297 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0817 0.97813 0.976 0.000 0.000 0.024
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.4972 0.24685 0.000 0.000 0.456 0.544
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.1557 0.94010 0.000 0.000 0.056 0.944
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.4989 0.00136 0.000 0.000 0.528 0.472
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.0000 0.94755 0.000 0.000 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.0817 0.94059 0.024 0.000 0.976 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.3726 0.77425 0.000 0.000 0.212 0.788
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0707 0.96092 0.000 0.000 0.020 0.980
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0817 0.96092 0.000 0.976 0.000 0.024
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.2921 0.85297 0.000 0.000 0.140 0.860
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.0188 0.94629 0.000 0.004 0.000 0.996
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0817 0.97813 0.976 0.000 0.000 0.024
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.0592 0.95166 0.000 0.000 0.984 0.016
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.0000 0.94755 0.000 0.000 0.000 1.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 3 0.0817 0.94478 0.000 0.024 0.976 0.000
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#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.0817 0.97813 0.976 0.000 0.000 0.024
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 1 0.1151 0.97261 0.968 0.008 0.000 0.024
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0707 0.98050 0.980 0.000 0.000 0.020
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.1004 0.97559 0.972 0.000 0.004 0.024
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 4 0.3219 0.79157 0.000 0.164 0.000 0.836
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.0937 0.95452 0.000 0.012 0.012 0.976
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.0817 0.96302 0.000 0.976 0.000 0.024
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0817 0.97813 0.976 0.000 0.000 0.024
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0707 0.98050 0.980 0.000 0.000 0.020
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.4718 0.60314 0.000 0.708 0.012 0.280
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.0000 0.94755 0.000 0.000 0.000 1.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.0000 0.94755 0.000 0.000 0.000 1.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0817 0.97813 0.976 0.000 0.000 0.024
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0188 0.97894 0.000 0.996 0.000 0.004
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 3 0.4331 0.59686 0.000 0.288 0.712 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0817 0.97813 0.976 0.000 0.000 0.024
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0817 0.97813 0.976 0.000 0.000 0.024
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.4877 0.29777 0.592 0.408 0.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0937 0.95452 0.000 0.012 0.012 0.976
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.4888 0.30792 0.000 0.412 0.588 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.0000 0.94755 0.000 0.000 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.99138 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.96574 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0817 0.96295 0.000 0.000 0.024 0.976
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.0000 0.94755 0.000 0.000 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.98194 0.000 1.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.96574 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0880 0.9641 0.968 0.000 0.000 0.000 0.032
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0404 0.9716 0.000 0.988 0.000 0.000 0.012
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0404 0.9716 0.000 0.988 0.000 0.000 0.012
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.1197 0.9529 0.952 0.000 0.000 0.000 0.048
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.1410 0.9278 0.060 0.000 0.000 0.000 0.940
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0510 0.9702 0.000 0.984 0.000 0.000 0.016
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0290 0.9764 0.992 0.000 0.000 0.000 0.008
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0162 0.9784 0.996 0.000 0.000 0.000 0.004
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.1197 0.9529 0.952 0.000 0.000 0.000 0.048
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0703 0.9665 0.000 0.976 0.000 0.000 0.024
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.2966 0.7770 0.000 0.000 0.184 0.816 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.0510 0.9464 0.000 0.000 0.016 0.984 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0703 0.9665 0.000 0.976 0.000 0.000 0.024
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.1121 0.9559 0.956 0.000 0.000 0.000 0.044
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0510 0.9702 0.000 0.984 0.000 0.000 0.016
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0703 0.9684 0.976 0.000 0.000 0.000 0.024
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.4227 0.2382 0.000 0.000 0.580 0.420 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.1410 0.8806 0.000 0.000 0.000 0.060 0.940
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.1197 0.9179 0.000 0.000 0.952 0.000 0.048
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.2377 0.8409 0.000 0.000 0.128 0.872 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
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#> 7B6D13EE-FE13-4BA8-BA65-1A10307A7936 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.0162 0.9738 0.000 0.996 0.000 0.000 0.004
#> A130FABA-F55F-412D-940E-7305057B4D1A 2 0.2773 0.7967 0.000 0.836 0.000 0.164 0.000
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 3 0.0404 0.9479 0.000 0.000 0.988 0.000 0.012
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 1 0.0162 0.9784 0.996 0.000 0.000 0.000 0.004
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 1 0.0162 0.9784 0.996 0.000 0.000 0.000 0.004
#> E3887082-4C43-426C-8580-ECAA4EFEC577 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 5 0.1410 0.9278 0.060 0.000 0.000 0.000 0.940
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 4 0.0794 0.9367 0.000 0.000 0.028 0.972 0.000
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 5 0.1197 0.9225 0.048 0.000 0.000 0.000 0.952
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 5 0.1626 0.9187 0.044 0.016 0.000 0.000 0.940
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.0162 0.9784 0.996 0.000 0.000 0.000 0.004
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.4327 0.4498 0.000 0.632 0.000 0.360 0.008
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 5 0.1410 0.9278 0.060 0.000 0.000 0.000 0.940
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 5 0.1544 0.9246 0.068 0.000 0.000 0.000 0.932
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0162 0.9781 0.996 0.000 0.000 0.000 0.004
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0162 0.9784 0.996 0.000 0.000 0.000 0.004
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0162 0.9784 0.996 0.000 0.000 0.000 0.004
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 5 0.1410 0.9278 0.060 0.000 0.000 0.000 0.940
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 5 0.1502 0.9262 0.056 0.004 0.000 0.000 0.940
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 5 0.3424 0.7813 0.240 0.000 0.000 0.000 0.760
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 5 0.1410 0.9278 0.060 0.000 0.000 0.000 0.940
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0794 0.9665 0.972 0.000 0.000 0.000 0.028
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0703 0.9665 0.000 0.976 0.000 0.000 0.024
#> FC2F983B-2530-4886-B759-E2C571E2D068 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.0880 0.9641 0.968 0.000 0.000 0.000 0.032
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.4305 0.0568 0.000 0.512 0.000 0.488 0.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0162 0.9784 0.996 0.000 0.000 0.000 0.004
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0510 0.9702 0.000 0.984 0.000 0.000 0.016
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0510 0.9702 0.000 0.984 0.000 0.000 0.016
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0880 0.9641 0.968 0.000 0.000 0.000 0.032
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0162 0.9784 0.996 0.000 0.000 0.000 0.004
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> D902E43A-F384-432A-B690-D20BFCC78443 5 0.1410 0.8793 0.000 0.060 0.000 0.000 0.940
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0880 0.9615 0.000 0.968 0.000 0.000 0.032
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.1410 0.9278 0.060 0.000 0.000 0.000 0.940
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.3366 0.7917 0.232 0.000 0.000 0.000 0.768
#> 37586AAC-159B-41F9-9078-C2F7888753AC 4 0.4014 0.6146 0.000 0.256 0.000 0.728 0.016
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.1197 0.9529 0.952 0.000 0.000 0.000 0.048
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0162 0.9781 0.996 0.000 0.000 0.000 0.004
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0162 0.9784 0.996 0.000 0.000 0.000 0.004
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 5 0.1908 0.8590 0.000 0.000 0.000 0.092 0.908
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.1557 0.9241 0.052 0.008 0.000 0.000 0.940
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.2852 0.7987 0.000 0.828 0.000 0.000 0.172
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0162 0.9784 0.996 0.000 0.000 0.000 0.004
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0510 0.9702 0.000 0.984 0.000 0.000 0.016
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0162 0.9784 0.996 0.000 0.000 0.000 0.004
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 3 0.4249 0.2389 0.000 0.432 0.568 0.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0162 0.9551 0.000 0.000 0.004 0.996 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.1410 0.9278 0.060 0.000 0.000 0.000 0.940
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.1410 0.9278 0.060 0.000 0.000 0.000 0.940
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.2891 0.7594 0.824 0.000 0.000 0.000 0.176
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0703 0.9665 0.000 0.976 0.000 0.000 0.024
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0963 0.9615 0.964 0.000 0.000 0.000 0.036
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0963 0.9615 0.964 0.000 0.000 0.000 0.036
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0703 0.9665 0.000 0.976 0.000 0.000 0.024
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0703 0.9665 0.000 0.976 0.000 0.000 0.024
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.1197 0.9529 0.952 0.000 0.000 0.000 0.048
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0162 0.9784 0.996 0.000 0.000 0.000 0.004
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0703 0.9665 0.000 0.976 0.000 0.000 0.024
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0162 0.9738 0.000 0.996 0.000 0.000 0.004
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0510 0.9702 0.000 0.984 0.000 0.000 0.016
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0510 0.9702 0.000 0.984 0.000 0.000 0.016
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0510 0.9702 0.000 0.984 0.000 0.000 0.016
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.4182 0.3368 0.000 0.400 0.600 0.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0404 0.9716 0.000 0.988 0.000 0.000 0.012
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0510 0.9702 0.000 0.984 0.000 0.000 0.016
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0162 0.9784 0.996 0.000 0.000 0.000 0.004
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9794 1.000 0.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9570 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.9577 0.000 0.000 0.000 1.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.1952 0.8645 0.000 0.004 0.000 0.084 0.912
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9747 0.000 1.000 0.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9570 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.3747 0.326694 0.604 0.000 0.000 0.000 0.000 0.396
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.2730 0.726980 0.000 0.808 0.000 0.000 0.000 0.192
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.1075 0.865289 0.000 0.952 0.000 0.000 0.000 0.048
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.3769 0.356704 0.356 0.000 0.000 0.000 0.004 0.640
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.0260 0.929914 0.008 0.000 0.000 0.000 0.992 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.3860 0.240503 0.000 0.528 0.000 0.000 0.000 0.472
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0458 0.932176 0.984 0.000 0.000 0.000 0.000 0.016
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 6 0.3271 0.490768 0.232 0.000 0.000 0.000 0.008 0.760
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 6 0.3706 0.204849 0.000 0.380 0.000 0.000 0.000 0.620
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.3023 0.706719 0.000 0.000 0.232 0.768 0.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.0146 0.936728 0.000 0.000 0.004 0.996 0.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> 022275BA-F672-49C5-887B-CCF24A20848F 6 0.3706 0.204849 0.000 0.380 0.000 0.000 0.000 0.620
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 6 0.4086 0.097515 0.464 0.000 0.000 0.000 0.008 0.528
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.3804 0.351998 0.000 0.576 0.000 0.000 0.000 0.424
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.3607 0.430145 0.000 0.000 0.652 0.348 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0146 0.893807 0.000 0.996 0.000 0.000 0.000 0.004
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.0260 0.924006 0.000 0.000 0.000 0.008 0.992 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 6 0.2118 0.488727 0.000 0.000 0.104 0.000 0.008 0.888
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.2631 0.769041 0.000 0.000 0.180 0.820 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 6 0.4899 0.208484 0.404 0.000 0.000 0.000 0.064 0.532
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.5981 -0.006621 0.000 0.000 0.228 0.396 0.376 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.1327 0.881729 0.000 0.064 0.000 0.000 0.936 0.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.0260 0.929914 0.008 0.000 0.000 0.000 0.992 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 6 0.4086 0.097515 0.464 0.000 0.000 0.000 0.008 0.528
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.0458 0.942773 0.000 0.000 0.984 0.016 0.000 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.2378 0.785059 0.000 0.000 0.000 0.152 0.848 0.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 6 0.6707 0.249563 0.000 0.064 0.216 0.240 0.000 0.480
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0146 0.935472 0.996 0.000 0.000 0.000 0.000 0.004
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 6 0.0260 0.534502 0.000 0.000 0.000 0.000 0.008 0.992
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.1327 0.885630 0.000 0.000 0.064 0.936 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.3860 0.228089 0.000 0.000 0.000 0.528 0.000 0.472
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0725 0.926812 0.976 0.000 0.000 0.000 0.012 0.012
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0937 0.908664 0.960 0.000 0.000 0.000 0.000 0.040
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 3 0.3860 0.228007 0.000 0.000 0.528 0.000 0.000 0.472
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 6 0.3078 0.522232 0.000 0.108 0.000 0.056 0.000 0.836
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 6 0.5221 -0.000882 0.000 0.092 0.000 0.432 0.000 0.476
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 6 0.3717 0.196481 0.000 0.384 0.000 0.000 0.000 0.616
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0717 0.924274 0.976 0.000 0.000 0.000 0.016 0.008
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.0260 0.929914 0.008 0.000 0.000 0.000 0.992 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.2631 0.769160 0.000 0.000 0.180 0.820 0.000 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0260 0.934976 0.992 0.000 0.000 0.000 0.000 0.008
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 6 0.3717 0.196481 0.000 0.384 0.000 0.000 0.000 0.616
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0820 0.923397 0.972 0.000 0.000 0.000 0.016 0.012
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.3868 0.087008 0.000 0.000 0.492 0.508 0.000 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 3 0.2340 0.794849 0.000 0.148 0.852 0.000 0.000 0.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.0260 0.929914 0.008 0.000 0.000 0.000 0.992 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.3823 0.325990 0.000 0.564 0.000 0.000 0.000 0.436
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 6 0.3717 0.196481 0.000 0.384 0.000 0.000 0.000 0.616
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 6 0.1075 0.542508 0.000 0.048 0.000 0.000 0.000 0.952
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.0260 0.921227 0.000 0.000 0.000 0.000 0.992 0.008
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.0260 0.929914 0.008 0.000 0.000 0.000 0.992 0.000
#> 9ECB653A-A04F-457C-92FC-D13424511A47 6 0.1556 0.539934 0.000 0.080 0.000 0.000 0.000 0.920
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 6 0.4777 0.448032 0.140 0.000 0.156 0.000 0.008 0.696
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0146 0.935363 0.996 0.000 0.000 0.000 0.000 0.004
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.2597 0.760112 0.824 0.000 0.000 0.000 0.000 0.176
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.2762 0.650337 0.000 0.804 0.196 0.000 0.000 0.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.2854 0.707816 0.000 0.792 0.000 0.000 0.000 0.208
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 6 0.2883 0.445445 0.000 0.212 0.000 0.000 0.000 0.788
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.3578 0.440108 0.000 0.660 0.340 0.000 0.000 0.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.3288 0.559376 0.724 0.000 0.000 0.000 0.276 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.3860 0.240503 0.000 0.528 0.000 0.000 0.000 0.472
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.2996 0.677130 0.772 0.000 0.000 0.000 0.000 0.228
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.1141 0.897241 0.948 0.000 0.000 0.000 0.000 0.052
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.0146 0.893807 0.000 0.996 0.000 0.000 0.000 0.004
#> 113340B4-B092-4B8C-8A13-5932525B0C33 5 0.0260 0.929914 0.008 0.000 0.000 0.000 0.992 0.000
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 4 0.1267 0.889175 0.000 0.000 0.060 0.940 0.000 0.000
#> 25B5E54F-5858-454C-9B23-440A82450912 6 0.3717 0.196481 0.000 0.384 0.000 0.000 0.000 0.616
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 4 0.2996 0.711567 0.000 0.000 0.228 0.772 0.000 0.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.0260 0.934976 0.992 0.000 0.000 0.000 0.000 0.008
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.0146 0.893807 0.000 0.996 0.000 0.000 0.000 0.004
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> A0A24949-483B-4250-B11E-2BCE49F302AC 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.0260 0.934976 0.992 0.000 0.000 0.000 0.000 0.008
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 4 0.0458 0.927410 0.000 0.000 0.016 0.984 0.000 0.000
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 3 0.1957 0.834767 0.000 0.000 0.888 0.112 0.000 0.000
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 6 0.0363 0.536515 0.000 0.012 0.000 0.000 0.000 0.988
#> 7604968C-689A-458D-96BA-33B163B238F8 2 0.0146 0.893807 0.000 0.996 0.000 0.000 0.000 0.004
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#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.3797 0.360149 0.000 0.580 0.000 0.000 0.000 0.420
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0146 0.892861 0.000 0.996 0.000 0.000 0.004 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0260 0.934976 0.992 0.000 0.000 0.000 0.000 0.008
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 3 0.3531 0.506898 0.000 0.328 0.672 0.000 0.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0146 0.936728 0.000 0.000 0.004 0.996 0.000 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.0260 0.929914 0.008 0.000 0.000 0.000 0.992 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.0260 0.929914 0.008 0.000 0.000 0.000 0.992 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.2135 0.821151 0.000 0.128 0.872 0.000 0.000 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0260 0.930538 0.992 0.000 0.000 0.000 0.008 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 6 0.3717 0.196481 0.000 0.384 0.000 0.000 0.000 0.616
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.3373 0.628174 0.744 0.000 0.000 0.000 0.008 0.248
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0260 0.935055 0.992 0.000 0.000 0.000 0.000 0.008
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.3861 0.436386 0.640 0.000 0.000 0.000 0.008 0.352
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 6 0.3717 0.196481 0.000 0.384 0.000 0.000 0.000 0.616
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0260 0.935055 0.992 0.000 0.000 0.000 0.000 0.008
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0260 0.935055 0.992 0.000 0.000 0.000 0.000 0.008
#> C543A527-3E25-4389-9722-E9325C733243 6 0.3706 0.204849 0.000 0.380 0.000 0.000 0.000 0.620
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 6 0.1584 0.529180 0.064 0.000 0.000 0.000 0.008 0.928
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 6 0.3717 0.196481 0.000 0.384 0.000 0.000 0.000 0.616
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.1141 0.862305 0.000 0.948 0.000 0.000 0.000 0.052
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0260 0.934976 0.992 0.000 0.000 0.000 0.000 0.008
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0363 0.934068 0.988 0.000 0.000 0.000 0.000 0.012
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.3851 0.270115 0.000 0.540 0.000 0.000 0.000 0.460
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.3810 0.343459 0.000 0.572 0.000 0.000 0.000 0.428
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.3860 0.240503 0.000 0.528 0.000 0.000 0.000 0.472
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.3810 0.266856 0.000 0.428 0.572 0.000 0.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.2793 0.717587 0.000 0.800 0.000 0.000 0.000 0.200
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.3854 0.257305 0.000 0.536 0.000 0.000 0.000 0.464
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.935787 1.000 0.000 0.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0260 0.891759 0.000 0.992 0.000 0.000 0.000 0.008
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.939512 0.000 0.000 0.000 1.000 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.0632 0.914029 0.000 0.000 0.000 0.024 0.976 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.895379 0.000 1.000 0.000 0.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.958328 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17630 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 0.958 0.929 0.973 0.4555 0.536 0.536
#> 3 3 0.849 0.883 0.951 0.3455 0.794 0.634
#> 4 4 0.720 0.802 0.899 0.1461 0.877 0.696
#> 5 5 0.851 0.822 0.923 0.0896 0.900 0.682
#> 6 6 0.867 0.819 0.922 0.0751 0.923 0.681
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9882 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.4815 0.8498 0.896 0.104
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9882 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9882 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.9882 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9882 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.9998 -0.0523 0.492 0.508
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.4939 0.8489 0.892 0.108
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.9882 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9882 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9419 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.9996 0.1345 0.512 0.488
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.2778 0.9042 0.952 0.048
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9882 0.000 1.000
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.9882 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9882 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.9882 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9419 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9882 0.000 1.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9419 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9882 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.9882 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9419 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9419 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.9882 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9882 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.9882 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9419 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.9882 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 1.0000 0.1074 0.504 0.496
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9419 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.8386 0.5998 0.268 0.732
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9419 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.9882 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9419 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.9882 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9882 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 1.0000 0.1074 0.504 0.496
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9882 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.9882 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.9882 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.9882 0.000 1.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0000 0.9882 0.000 1.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9419 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.6343 0.7913 0.840 0.160
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0000 0.9882 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.9882 0.000 1.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.9882 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9419 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9419 1.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.0000 0.9882 0.000 1.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.9882 0.000 1.000
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#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9419 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9882 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9419 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.9882 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.9882 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9419 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.9882 0.000 1.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9419 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9882 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9419 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.9882 0.000 1.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.9882 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.9998 0.1210 0.508 0.492
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9882 0.000 1.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9419 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9419 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.9882 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9419 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.9882 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.9882 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9419 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.9882 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.9882 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9882 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.9882 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9419 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9419 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9882 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9419 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9882 0.000 1.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.9882 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9419 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.9882 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9419 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9882 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.9882 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.2043 0.9553 0.032 0.968
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9419 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9882 0.000 1.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.9882 0.000 1.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.9882 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9419 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9419 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9419 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9882 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9419 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9419 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9882 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9882 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9882 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9882 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.9882 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.9882 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9882 0.000 1.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9882 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9882 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9882 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.9882 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9419 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.9882 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9419 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.9882 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9882 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.9882 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.9882 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9882 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.9882 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9347 0.000 1.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.2711 0.8651 0.912 0.088 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9347 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9347 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 3 0.6079 0.4391 0.000 0.388 0.612
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9347 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.6192 0.3268 0.420 0.580 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.4974 0.6722 0.764 0.236 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9076 0.000 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9347 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9700 1.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.6008 0.4236 0.372 0.628 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.2066 0.9015 0.940 0.060 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9347 0.000 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.4702 0.7368 0.000 0.212 0.788
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9347 0.000 1.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.1964 0.9012 0.000 0.944 0.056
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9700 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9347 0.000 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9700 1.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9347 0.000 1.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9076 0.000 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9700 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9700 1.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0000 0.9076 0.000 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9347 0.000 1.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.1964 0.8767 0.000 0.056 0.944
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9700 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0892 0.9277 0.000 0.980 0.020
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.6686 0.4161 0.372 0.612 0.016
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9700 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.6511 0.6807 0.180 0.748 0.072
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9700 1.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.3686 0.8152 0.000 0.140 0.860
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9700 1.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0892 0.9277 0.000 0.980 0.020
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9347 0.000 1.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.6008 0.4236 0.372 0.628 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9347 0.000 1.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.6140 0.2575 0.000 0.596 0.404
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9076 0.000 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0892 0.9277 0.000 0.980 0.020
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0000 0.9347 0.000 1.000 0.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9700 1.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.4887 0.6702 0.772 0.228 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.6286 0.1960 0.000 0.464 0.536
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.9347 0.000 1.000 0.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.2261 0.8886 0.000 0.932 0.068
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9700 1.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9700 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.0000 0.9347 0.000 1.000 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0892 0.9277 0.000 0.980 0.020
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0892 0.9277 0.000 0.980 0.020
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0892 0.9277 0.000 0.980 0.020
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.3267 0.8359 0.000 0.116 0.884
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9347 0.000 1.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0892 0.9277 0.000 0.980 0.020
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.9347 0.000 1.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9700 1.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9700 1.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0892 0.9277 0.000 0.980 0.020
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0237 0.9335 0.000 0.996 0.004
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9347 0.000 1.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.3192 0.8413 0.000 0.888 0.112
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.9347 0.000 1.000 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.9347 0.000 1.000 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.2261 0.8937 0.000 0.932 0.068
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.9347 0.000 1.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.9076 0.000 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9700 1.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.9700 1.000 0.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0424 0.9323 0.000 0.992 0.008
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9700 1.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9347 0.000 1.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9700 1.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.3619 0.8212 0.000 0.864 0.136
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9700 1.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.9347 0.000 1.000 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.9347 0.000 1.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.9700 1.000 0.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.2356 0.8902 0.000 0.928 0.072
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.9700 1.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.6140 0.2733 0.404 0.000 0.596
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.9347 0.000 1.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.2165 0.8961 0.000 0.936 0.064
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.9347 0.000 1.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.9076 0.000 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.4235 0.7568 0.824 0.176 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.9347 0.000 1.000 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.9347 0.000 1.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.9347 0.000 1.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.0000 0.9347 0.000 1.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.9347 0.000 1.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.2537 0.8768 0.000 0.920 0.080
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.4555 0.7247 0.800 0.200 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.3412 0.8293 0.000 0.124 0.876
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 2 0.6008 0.4236 0.372 0.628 0.000
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.0000 0.9347 0.000 1.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.9700 1.000 0.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.9347 0.000 1.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.3573 0.8150 0.120 0.876 0.004
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.9700 1.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.9700 1.000 0.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.0892 0.9277 0.000 0.980 0.020
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.0000 0.9347 0.000 1.000 0.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.9347 0.000 1.000 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.9347 0.000 1.000 0.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.9347 0.000 1.000 0.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.2625 0.8794 0.000 0.916 0.084
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.9700 1.000 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.9700 1.000 0.000 0.000
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#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0592 0.9580 0.988 0.012 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.9347 0.000 1.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9700 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9347 0.000 1.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.1753 0.9109 0.000 0.952 0.048
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.2356 0.8733 0.072 0.928 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9700 1.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9347 0.000 1.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.9347 0.000 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0747 0.9293 0.000 0.984 0.016
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9700 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9700 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9700 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9347 0.000 1.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9700 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9700 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9347 0.000 1.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9347 0.000 1.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9347 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9347 0.000 1.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.1753 0.9062 0.000 0.952 0.048
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0892 0.9277 0.000 0.980 0.020
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9347 0.000 1.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9347 0.000 1.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9347 0.000 1.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9347 0.000 1.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.2796 0.8689 0.000 0.908 0.092
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9700 1.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.9347 0.000 1.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9700 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9076 0.000 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9347 0.000 1.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.5016 0.6576 0.000 0.760 0.240
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0237 0.9335 0.000 0.996 0.004
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9347 0.000 1.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9076 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.4428 0.84454 0.808 0.068 0.000 0.124
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0188 0.88503 0.000 0.996 0.000 0.004
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0188 0.88503 0.000 0.996 0.000 0.004
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.3143 0.75441 0.000 0.024 0.100 0.876
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.3610 0.67929 0.200 0.800 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.6350 0.42517 0.564 0.364 0.000 0.072
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.93871 0.000 0.000 1.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0592 0.91751 0.984 0.000 0.000 0.016
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.7714 0.11361 0.332 0.432 0.000 0.236
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.3172 0.76043 0.840 0.160 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.4700 0.74497 0.000 0.084 0.124 0.792
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0469 0.88200 0.000 0.988 0.000 0.012
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.4123 0.65180 0.000 0.772 0.008 0.220
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.93871 0.000 0.000 1.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.91719 1.000 0.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.3907 0.60520 0.000 0.000 0.232 0.768
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.2704 0.73337 0.000 0.000 0.124 0.876
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.2704 0.82828 0.000 0.124 0.000 0.876
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.3392 0.71726 0.124 0.020 0.000 0.856
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.3128 0.76259 0.128 0.864 0.004 0.004
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.2868 0.72219 0.000 0.000 0.136 0.864
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.2814 0.82495 0.000 0.132 0.000 0.868
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.4957 0.51640 0.300 0.684 0.000 0.016
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.2530 0.79725 0.000 0.888 0.000 0.112
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.3312 0.78120 0.000 0.052 0.072 0.876
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 4 0.5000 -0.02658 0.000 0.000 0.496 0.504
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.3907 0.63866 0.000 0.768 0.000 0.232
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.4985 -0.04658 0.000 0.532 0.000 0.468
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.91719 1.000 0.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.4992 0.05430 0.524 0.476 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.6924 0.31498 0.000 0.428 0.108 0.464
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.4992 0.23258 0.000 0.476 0.000 0.524
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.1174 0.87196 0.000 0.968 0.020 0.012
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.1004 0.87107 0.024 0.972 0.000 0.004
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.2704 0.82828 0.000 0.124 0.000 0.876
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.2704 0.82828 0.000 0.124 0.000 0.876
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.2704 0.82828 0.000 0.124 0.000 0.876
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.2704 0.73337 0.000 0.000 0.124 0.876
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.2704 0.82828 0.000 0.124 0.000 0.876
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.2530 0.79338 0.000 0.888 0.000 0.112
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.91719 1.000 0.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.91719 1.000 0.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.2704 0.82828 0.000 0.124 0.000 0.876
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.4933 0.39417 0.000 0.432 0.000 0.568
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.2469 0.80093 0.000 0.892 0.000 0.108
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.1151 0.87022 0.000 0.968 0.024 0.008
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0336 0.88381 0.000 0.992 0.000 0.008
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.3074 0.74837 0.000 0.848 0.000 0.152
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.3048 0.82156 0.000 0.108 0.016 0.876
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0188 0.88501 0.000 0.996 0.000 0.004
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.93871 0.000 0.000 1.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.91719 1.000 0.000 0.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.5163 -0.12305 0.000 0.516 0.004 0.480
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.91719 1.000 0.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.5436 0.33305 0.000 0.620 0.024 0.356
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0817 0.87618 0.000 0.976 0.000 0.024
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.2814 0.78031 0.000 0.868 0.000 0.132
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.4360 0.60199 0.000 0.744 0.008 0.248
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0817 0.91711 0.976 0.000 0.000 0.024
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.4790 0.39488 0.380 0.000 0.620 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.1022 0.87003 0.000 0.968 0.000 0.032
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.1488 0.86568 0.000 0.956 0.012 0.032
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.93871 0.000 0.000 1.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.1677 0.88430 0.948 0.040 0.000 0.012
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0188 0.88501 0.000 0.996 0.000 0.004
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0336 0.88354 0.000 0.992 0.000 0.008
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.1042 0.87318 0.000 0.972 0.020 0.008
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.3625 0.75039 0.828 0.160 0.000 0.012
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.2704 0.73337 0.000 0.000 0.124 0.876
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 2 0.4770 0.53420 0.288 0.700 0.000 0.012
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.2647 0.90108 0.880 0.000 0.000 0.120
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.1902 0.83713 0.064 0.932 0.000 0.004
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.2530 0.90355 0.888 0.000 0.000 0.112
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0188 0.91736 0.996 0.000 0.000 0.004
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.4564 0.44178 0.000 0.672 0.000 0.328
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0336 0.88403 0.000 0.992 0.000 0.008
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.1406 0.87056 0.000 0.960 0.016 0.024
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.91719 1.000 0.000 0.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.2918 0.82524 0.000 0.116 0.008 0.876
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.0000 0.93871 0.000 0.000 1.000 0.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0817 0.91711 0.976 0.000 0.000 0.024
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.91719 1.000 0.000 0.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.93871 0.000 0.000 1.000 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.93871 0.000 0.000 1.000 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 4 0.3143 0.75441 0.000 0.024 0.100 0.876
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.3032 0.89563 0.868 0.008 0.000 0.124
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.0000 0.91719 1.000 0.000 0.000 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.0000 0.91719 1.000 0.000 0.000 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 113340B4-B092-4B8C-8A13-5932525B0C33 4 0.6585 0.47227 0.312 0.104 0.000 0.584
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 4 0.3893 0.77623 0.000 0.196 0.008 0.796
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.0000 0.88603 0.000 1.000 0.000 0.000
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#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.2704 0.82828 0.000 0.124 0.000 0.876
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.93871 0.000 0.000 1.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.93871 0.000 0.000 1.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.91719 1.000 0.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0817 0.91711 0.976 0.000 0.000 0.024
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.2868 0.77157 0.000 0.864 0.000 0.136
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0188 0.91754 0.996 0.000 0.000 0.004
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.93871 0.000 0.000 1.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.1305 0.91343 0.960 0.004 0.000 0.036
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.4933 0.39417 0.000 0.432 0.000 0.568
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0188 0.88501 0.000 0.996 0.000 0.004
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.3047 0.82445 0.000 0.116 0.012 0.872
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.0817 0.87122 0.024 0.976 0.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.91719 1.000 0.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.2814 0.82495 0.000 0.132 0.000 0.868
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.1637 0.91333 0.940 0.000 0.000 0.060
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.2704 0.90043 0.876 0.000 0.000 0.124
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.2345 0.80414 0.000 0.900 0.000 0.100
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0524 0.88190 0.000 0.988 0.008 0.004
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.4981 -0.02570 0.000 0.536 0.000 0.464
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0469 0.88212 0.000 0.988 0.000 0.012
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0895 0.87509 0.000 0.976 0.020 0.004
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.91719 1.000 0.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.4948 0.37531 0.000 0.440 0.000 0.560
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0707 0.91740 0.980 0.000 0.000 0.020
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.93871 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.2918 0.82522 0.000 0.116 0.008 0.876
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.4989 -0.08295 0.000 0.528 0.000 0.472
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.88603 0.000 1.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.93871 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0290 0.9165 0.000 0.992 0.000 0.008 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0290 0.9165 0.000 0.992 0.000 0.008 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 5 0.3774 0.5292 0.000 0.296 0.000 0.000 0.704
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.5255 0.4163 0.304 0.072 0.000 0.000 0.624
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9671 0.000 0.000 1.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.2329 0.8718 0.124 0.000 0.000 0.000 0.876
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.0000 0.9134 0.000 0.000 0.000 0.000 1.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.1485 0.9128 0.032 0.020 0.000 0.000 0.948
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.2329 0.7485 0.000 0.124 0.000 0.876 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.3424 0.6789 0.000 0.760 0.000 0.240 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0963 0.8921 0.964 0.000 0.000 0.000 0.036
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9671 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 5 0.1270 0.9179 0.052 0.000 0.000 0.000 0.948
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.1851 0.7472 0.000 0.000 0.088 0.912 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0162 0.9089 0.996 0.000 0.000 0.000 0.004
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.3612 0.5414 0.000 0.000 0.000 0.732 0.268
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 5 0.4114 0.3465 0.000 0.376 0.000 0.000 0.624
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0404 0.8211 0.000 0.012 0.000 0.988 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.1626 0.8795 0.016 0.044 0.000 0.000 0.940
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.1851 0.8567 0.000 0.912 0.000 0.088 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 4 0.4171 0.2027 0.000 0.000 0.396 0.604 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.3480 0.6666 0.000 0.752 0.000 0.248 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.4367 0.3162 0.000 0.416 0.000 0.580 0.004
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.0000 0.9134 0.000 0.000 0.000 0.000 1.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 5 0.1124 0.9006 0.004 0.036 0.000 0.000 0.960
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.5504 0.1545 0.000 0.448 0.064 0.488 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.4114 0.3978 0.000 0.376 0.000 0.624 0.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0880 0.9032 0.000 0.968 0.000 0.032 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0162 0.9090 0.996 0.000 0.000 0.000 0.004
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.0963 0.8966 0.000 0.964 0.000 0.000 0.036
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.2329 0.8202 0.000 0.876 0.000 0.124 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 5 0.0000 0.9134 0.000 0.000 0.000 0.000 1.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 5 0.1270 0.9179 0.052 0.000 0.000 0.000 0.948
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.4227 0.2817 0.000 0.420 0.000 0.580 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.1792 0.8600 0.000 0.916 0.000 0.084 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0794 0.9055 0.000 0.972 0.000 0.028 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0794 0.9055 0.000 0.972 0.000 0.028 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.2773 0.7758 0.000 0.836 0.000 0.164 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.9671 0.000 0.000 1.000 0.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.1908 0.8602 0.908 0.000 0.000 0.000 0.092
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.0000 0.9134 0.000 0.000 0.000 0.000 1.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.4242 0.2583 0.000 0.572 0.000 0.428 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 5 0.1341 0.9165 0.056 0.000 0.000 0.000 0.944
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.4101 0.4190 0.000 0.628 0.000 0.372 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.1197 0.8789 0.952 0.000 0.000 0.000 0.048
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0290 0.9163 0.000 0.992 0.000 0.008 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.1908 0.8545 0.000 0.908 0.000 0.092 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.1341 0.8752 0.944 0.000 0.000 0.000 0.056
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.3661 0.6192 0.000 0.724 0.000 0.276 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 5 0.4192 0.4333 0.404 0.000 0.000 0.000 0.596
#> 27875588-7C41-49BB-A4C0-A66D72A12499 5 0.0162 0.9132 0.000 0.000 0.004 0.000 0.996
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0703 0.9077 0.000 0.976 0.000 0.024 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.1270 0.8890 0.000 0.948 0.000 0.052 0.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.9671 0.000 0.000 1.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.0000 0.9134 0.000 0.000 0.000 0.000 1.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0807 0.9098 0.000 0.976 0.012 0.012 0.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.0000 0.9134 0.000 0.000 0.000 0.000 1.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.0404 0.9095 0.000 0.012 0.000 0.000 0.988
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.1043 0.8890 0.960 0.000 0.000 0.000 0.040
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.4283 0.2266 0.000 0.544 0.000 0.000 0.456
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.1544 0.8661 0.932 0.000 0.000 0.000 0.068
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 5 0.1043 0.9180 0.040 0.000 0.000 0.000 0.960
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.4015 0.4773 0.000 0.652 0.000 0.348 0.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0404 0.9149 0.000 0.988 0.000 0.012 0.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
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#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 5 0.3366 0.7417 0.232 0.000 0.000 0.000 0.768
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.0000 0.9134 0.000 0.000 0.000 0.000 1.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.0000 0.9134 0.000 0.000 0.000 0.000 1.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.3661 0.6130 0.000 0.724 0.000 0.276 0.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 5 0.2144 0.8750 0.020 0.068 0.000 0.000 0.912
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.0290 0.8234 0.000 0.008 0.000 0.992 0.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 5 0.1270 0.9179 0.052 0.000 0.000 0.000 0.948
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 5 0.1270 0.9179 0.052 0.000 0.000 0.000 0.948
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.4481 0.2675 0.000 0.008 0.000 0.576 0.416
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.1851 0.8388 0.000 0.088 0.000 0.000 0.912
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0162 0.9179 0.000 0.996 0.000 0.000 0.004
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 5 0.2732 0.8400 0.160 0.000 0.000 0.000 0.840
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 5 0.0510 0.9169 0.016 0.000 0.000 0.000 0.984
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.3661 0.6192 0.000 0.724 0.000 0.276 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0404 0.9039 0.988 0.000 0.000 0.000 0.012
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.6635 -0.0756 0.224 0.416 0.000 0.000 0.360
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.3274 0.7382 0.780 0.000 0.000 0.000 0.220
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 5 0.3366 0.7565 0.232 0.000 0.000 0.000 0.768
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0880 0.9021 0.000 0.968 0.000 0.032 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.4227 0.2817 0.000 0.420 0.000 0.580 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.0000 0.9134 0.000 0.000 0.000 0.000 1.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9671 0.000 0.000 1.000 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9671 0.000 0.000 1.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.1197 0.9184 0.048 0.000 0.000 0.000 0.952
#> 0636DD62-C493-47CC-A120-9759FB6980CD 5 0.3508 0.7314 0.252 0.000 0.000 0.000 0.748
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.2127 0.8378 0.000 0.892 0.000 0.108 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 5 0.1792 0.9025 0.084 0.000 0.000 0.000 0.916
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9671 0.000 0.000 1.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 5 0.3579 0.7412 0.240 0.004 0.000 0.000 0.756
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.4227 0.2817 0.000 0.420 0.000 0.580 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0290 0.8242 0.000 0.008 0.000 0.992 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.0404 0.9134 0.000 0.988 0.000 0.000 0.012
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.0000 0.9134 0.000 0.000 0.000 0.000 1.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0794 0.8102 0.000 0.028 0.000 0.972 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.3561 0.6005 0.740 0.000 0.000 0.000 0.260
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9106 1.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.2074 0.8376 0.000 0.896 0.000 0.104 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.4297 0.1097 0.000 0.472 0.000 0.528 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0510 0.9120 0.000 0.984 0.016 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.0703 0.9179 0.024 0.000 0.000 0.000 0.976
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.4235 0.2725 0.000 0.424 0.000 0.576 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.4283 0.0782 0.544 0.000 0.000 0.000 0.456
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9671 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.8281 0.000 0.000 0.000 1.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.4650 0.0449 0.000 0.520 0.000 0.468 0.012
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9195 0.000 1.000 0.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9671 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 6 0.0000 0.9057 0.000 0.000 0.000 0.000 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0146 0.9323 0.996 0.004 0.000 0.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.8809 0.000 1.000 0.000 0.000 0.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.8809 0.000 1.000 0.000 0.000 0.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.8570 0.000 0.000 0.000 1.000 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.8809 0.000 1.000 0.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 5 0.3409 0.5225 0.000 0.300 0.000 0.000 0.700 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 6 0.5149 0.5490 0.128 0.008 0.000 0.000 0.224 0.640
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9725 0.000 0.000 1.000 0.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.8809 0.000 1.000 0.000 0.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.1501 0.8804 0.076 0.000 0.000 0.000 0.924 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.0000 0.9330 0.000 0.000 0.000 0.000 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.0000 0.9330 0.000 0.000 0.000 0.000 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.8809 0.000 1.000 0.000 0.000 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.2219 0.7527 0.000 0.136 0.000 0.864 0.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 6 0.0000 0.9057 0.000 0.000 0.000 0.000 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.3126 0.6640 0.000 0.752 0.000 0.248 0.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9347 1.000 0.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.8809 0.000 1.000 0.000 0.000 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0937 0.9109 0.960 0.000 0.000 0.000 0.040 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.8809 0.000 1.000 0.000 0.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9725 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9347 1.000 0.000 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 5 0.0000 0.9330 0.000 0.000 0.000 0.000 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.0000 0.8570 0.000 0.000 0.000 1.000 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.8809 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.0000 0.8570 0.000 0.000 0.000 1.000 0.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0146 0.9328 0.996 0.000 0.000 0.000 0.004 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0000 0.8570 0.000 0.000 0.000 1.000 0.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.4785 0.4873 0.000 0.000 0.000 0.664 0.120 0.216
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9347 1.000 0.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 5 0.3547 0.4351 0.000 0.332 0.000 0.000 0.668 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9347 1.000 0.000 0.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.0000 0.8570 0.000 0.000 0.000 1.000 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9347 1.000 0.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.3782 0.2052 0.000 0.000 0.000 0.588 0.000 0.412
#> 745233F1-DF41-4DDA-9146-1666DD59355E 6 0.3765 0.2711 0.000 0.404 0.000 0.000 0.000 0.596
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.1616 0.8869 0.020 0.048 0.000 0.000 0.932 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 6 0.3727 0.2825 0.000 0.388 0.000 0.000 0.000 0.612
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.8570 0.000 0.000 0.000 1.000 0.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 4 0.3727 0.2501 0.000 0.000 0.388 0.612 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.4094 0.6959 0.000 0.740 0.000 0.180 0.000 0.080
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 6 0.0000 0.9057 0.000 0.000 0.000 0.000 0.000 1.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.0000 0.9330 0.000 0.000 0.000 0.000 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 5 0.0000 0.9330 0.000 0.000 0.000 0.000 1.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.3765 0.2898 0.000 0.404 0.000 0.596 0.000 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 6 0.0000 0.9057 0.000 0.000 0.000 0.000 0.000 1.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.8809 0.000 1.000 0.000 0.000 0.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0146 0.9329 0.996 0.000 0.000 0.000 0.004 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9347 1.000 0.000 0.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.0146 0.8791 0.000 0.996 0.000 0.000 0.004 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.8570 0.000 0.000 0.000 1.000 0.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.8570 0.000 0.000 0.000 1.000 0.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0146 0.8544 0.000 0.000 0.000 0.996 0.000 0.004
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.0000 0.8570 0.000 0.000 0.000 1.000 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 6 0.0000 0.9057 0.000 0.000 0.000 0.000 0.000 1.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.3706 0.3848 0.000 0.000 0.000 0.620 0.000 0.380
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.1556 0.8318 0.000 0.920 0.000 0.080 0.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 5 0.0000 0.9330 0.000 0.000 0.000 0.000 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 5 0.0000 0.9330 0.000 0.000 0.000 0.000 1.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.8570 0.000 0.000 0.000 1.000 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 6 0.3221 0.5696 0.000 0.000 0.000 0.264 0.000 0.736
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 6 0.0000 0.9057 0.000 0.000 0.000 0.000 0.000 1.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.8809 0.000 1.000 0.000 0.000 0.000 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0363 0.8759 0.000 0.988 0.000 0.012 0.000 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.2631 0.7507 0.000 0.820 0.000 0.180 0.000 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0000 0.8570 0.000 0.000 0.000 1.000 0.000 0.000
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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 17630 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 0.712 0.938 0.967 0.4845 0.515 0.515
#> 3 3 0.824 0.838 0.919 0.2813 0.854 0.724
#> 4 4 0.814 0.807 0.910 0.1075 0.872 0.692
#> 5 5 0.679 0.530 0.760 0.1025 0.862 0.588
#> 6 6 0.718 0.684 0.809 0.0637 0.895 0.603
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.957 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.976 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.957 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.957 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.957 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.957 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.976 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.976 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.5408 0.889 0.124 0.876
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.957 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.976 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.976 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.976 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.957 0.000 1.000
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.957 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.957 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.957 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.976 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.957 0.000 1.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.976 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.957 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.5408 0.889 0.124 0.876
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#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.976 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.5408 0.889 0.124 0.876
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.957 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0672 0.953 0.008 0.992
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.976 1.000 0.000
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#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.0000 0.976 1.000 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.976 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.8081 0.729 0.248 0.752
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.976 1.000 0.000
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#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.5408 0.889 0.124 0.876
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.7528 0.772 0.216 0.784
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 1 0.8016 0.686 0.756 0.244
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.976 1.000 0.000
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#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.5408 0.889 0.124 0.876
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#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.957 0.000 1.000
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#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0672 0.952 0.008 0.992
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#> EEE5E45B-D2E3-4CFA-AC5F-8AE1EC2CB61C 2 0.0000 0.957 0.000 1.000
#> 7B6D13EE-FE13-4BA8-BA65-1A10307A7936 2 0.5408 0.889 0.124 0.876
#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.0000 0.957 0.000 1.000
#> A130FABA-F55F-412D-940E-7305057B4D1A 2 0.0000 0.957 0.000 1.000
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 2 0.5408 0.889 0.124 0.876
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 1 0.0000 0.976 1.000 0.000
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 1 0.0000 0.976 1.000 0.000
#> E3887082-4C43-426C-8580-ECAA4EFEC577 2 0.5408 0.889 0.124 0.876
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 1 0.0000 0.976 1.000 0.000
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 2 0.5408 0.889 0.124 0.876
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 2 0.0000 0.957 0.000 1.000
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 2 0.0000 0.957 0.000 1.000
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 1 0.0000 0.976 1.000 0.000
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.0000 0.976 1.000 0.000
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 2 0.5408 0.889 0.124 0.876
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0000 0.976 1.000 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 1 0.5946 0.824 0.856 0.144
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 2 0.0000 0.957 0.000 1.000
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.0000 0.976 1.000 0.000
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0000 0.957 0.000 1.000
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 2 0.5408 0.889 0.124 0.876
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 2 0.5408 0.889 0.124 0.876
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.0000 0.957 0.000 1.000
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.0000 0.976 1.000 0.000
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.976 1.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 2 0.5408 0.889 0.124 0.876
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 1 0.0000 0.976 1.000 0.000
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 2 0.6712 0.786 0.176 0.824
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0000 0.976 1.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.976 1.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.976 1.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0000 0.957 0.000 1.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 2 0.5408 0.889 0.124 0.876
#> 56D3154E-E779-4C27-8305-FEE7310B6762 2 0.5408 0.889 0.124 0.876
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.957 0.000 1.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 2 0.5408 0.889 0.124 0.876
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 2 0.5408 0.889 0.124 0.876
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.976 1.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 2 0.5408 0.889 0.124 0.876
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.976 1.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.4939 0.869 0.892 0.108
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 1 0.0000 0.976 1.000 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.976 1.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.976 1.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.0000 0.976 1.000 0.000
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.976 1.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.957 0.000 1.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0000 0.957 0.000 1.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.0000 0.976 1.000 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0000 0.957 0.000 1.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.976 1.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 2 0.5408 0.889 0.124 0.876
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.976 1.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.957 0.000 1.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.957 0.000 1.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 2 0.5408 0.889 0.124 0.876
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.4161 0.914 0.084 0.916
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.957 0.000 1.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.0000 0.957 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 2 0.5408 0.889 0.124 0.876
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.0000 0.957 0.000 1.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 2 0.5408 0.889 0.124 0.876
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.976 1.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 2 0.5408 0.889 0.124 0.876
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.5408 0.889 0.124 0.876
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0000 0.957 0.000 1.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0000 0.957 0.000 1.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.976 1.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.5408 0.889 0.124 0.876
#> D902E43A-F384-432A-B690-D20BFCC78443 1 0.8555 0.620 0.720 0.280
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0000 0.957 0.000 1.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.957 0.000 1.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0000 0.957 0.000 1.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.5408 0.889 0.124 0.876
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.976 1.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.976 1.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.976 1.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0000 0.957 0.000 1.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.976 1.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.976 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 1 0.7453 0.733 0.788 0.212
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.976 1.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.957 0.000 1.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.976 1.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.957 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.2043 0.948 0.968 0.032
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.2236 0.944 0.964 0.036
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0000 0.957 0.000 1.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.976 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.957 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.976 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.957 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.957 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.976 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.957 0.000 1.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.976 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.957 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.976 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.957 0.000 1.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.957 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.1414 0.959 0.980 0.020
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.957 0.000 1.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.976 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.976 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.957 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.976 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.957 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.957 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.976 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.957 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.5408 0.889 0.124 0.876
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.957 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.5408 0.889 0.124 0.876
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.976 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.976 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.957 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.976 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.957 0.000 1.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.5408 0.889 0.124 0.876
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.976 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.957 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.976 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.957 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.957 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.9580 0.345 0.620 0.380
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.976 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.957 0.000 1.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.957 0.000 1.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.957 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.976 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.976 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.976 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.957 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.976 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.976 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.957 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.957 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.957 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.957 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.957 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.957 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.957 0.000 1.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.957 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.957 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.957 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.5294 0.892 0.120 0.880
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.976 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 1 0.7299 0.740 0.796 0.204
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.976 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.5408 0.889 0.124 0.876
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.957 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.957 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 1 0.7602 0.723 0.780 0.220
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.957 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.5408 0.889 0.124 0.876
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0592 0.92145 0.000 0.988 0.012
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.6033 0.60948 0.660 0.004 0.336
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.92847 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.92847 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.1753 0.89877 0.000 0.952 0.048
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.92847 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.5623 0.68785 0.716 0.004 0.280
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.6229 0.59873 0.652 0.008 0.340
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.3879 0.84465 0.000 0.152 0.848
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.92847 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.1860 0.89117 0.948 0.000 0.052
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.3619 0.84472 0.864 0.000 0.136
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.4062 0.82129 0.836 0.000 0.164
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.1964 0.88321 0.000 0.944 0.056
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0747 0.91978 0.000 0.984 0.016
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0237 0.92671 0.000 0.996 0.004
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0237 0.92693 0.000 0.996 0.004
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.90277 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.1163 0.90850 0.000 0.972 0.028
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.3816 0.83429 0.852 0.000 0.148
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.92847 0.000 1.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.1964 0.93827 0.000 0.056 0.944
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.90277 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.1964 0.88967 0.944 0.000 0.056
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.5760 0.49440 0.000 0.672 0.328
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.92847 0.000 1.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.1163 0.91090 0.000 0.972 0.028
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.90277 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.5810 0.51926 0.000 0.664 0.336
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.4808 0.79024 0.804 0.008 0.188
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.90277 1.000 0.000 0.000
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#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.1964 0.93827 0.000 0.056 0.944
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.1964 0.93827 0.000 0.056 0.944
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.92847 0.000 1.000 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.1964 0.93827 0.000 0.056 0.944
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.1964 0.93827 0.000 0.056 0.944
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.1643 0.89390 0.956 0.000 0.044
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.1964 0.93827 0.000 0.056 0.944
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.90277 1.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.6381 0.59372 0.648 0.012 0.340
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 1 0.6381 0.59372 0.648 0.012 0.340
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.90277 1.000 0.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.90277 1.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.4409 0.80931 0.824 0.004 0.172
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.2356 0.88411 0.928 0.000 0.072
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0237 0.92664 0.000 0.996 0.004
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0237 0.92693 0.000 0.996 0.004
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.5873 0.64424 0.684 0.004 0.312
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0000 0.92847 0.000 1.000 0.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.90277 1.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.1964 0.93827 0.000 0.056 0.944
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.90277 1.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0237 0.92664 0.000 0.996 0.004
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.92847 0.000 1.000 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.1964 0.93827 0.000 0.056 0.944
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.4887 0.68672 0.000 0.772 0.228
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.92847 0.000 1.000 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.0237 0.92693 0.000 0.996 0.004
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.1964 0.93827 0.000 0.056 0.944
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.0237 0.92693 0.000 0.996 0.004
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.1964 0.93827 0.000 0.056 0.944
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.6008 0.61536 0.664 0.004 0.332
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.1964 0.93827 0.000 0.056 0.944
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.0892 0.90054 0.000 0.020 0.980
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0000 0.92847 0.000 1.000 0.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0237 0.92671 0.000 0.996 0.004
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.90277 1.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.1860 0.93145 0.000 0.052 0.948
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.9120 0.16886 0.156 0.504 0.340
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0000 0.92847 0.000 1.000 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.92847 0.000 1.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.5497 0.60878 0.000 0.708 0.292
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.1964 0.93827 0.000 0.056 0.944
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.90277 1.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.4233 0.82116 0.836 0.004 0.160
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.1753 0.89256 0.952 0.000 0.048
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0000 0.92847 0.000 1.000 0.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.4293 0.81824 0.832 0.004 0.164
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.90277 1.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 1 0.9994 -0.07252 0.344 0.316 0.340
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.90277 1.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.92847 0.000 1.000 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.90277 1.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0237 0.92693 0.000 0.996 0.004
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.7961 0.49816 0.588 0.076 0.336
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.6381 0.59372 0.648 0.012 0.340
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.5859 0.50665 0.000 0.656 0.344
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.90277 1.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.92847 0.000 1.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.90277 1.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0237 0.92671 0.000 0.996 0.004
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0592 0.92236 0.000 0.988 0.012
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.90277 1.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.5835 0.51426 0.000 0.660 0.340
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.90277 1.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.92847 0.000 1.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.90277 1.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.3192 0.83177 0.000 0.888 0.112
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.1529 0.90188 0.000 0.960 0.040
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.6381 0.59372 0.648 0.012 0.340
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.92847 0.000 1.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.90277 1.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.2066 0.88874 0.940 0.000 0.060
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0237 0.92693 0.000 0.996 0.004
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.90277 1.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.1163 0.91119 0.000 0.972 0.028
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.92847 0.000 1.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.1411 0.89626 0.964 0.000 0.036
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.92847 0.000 1.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.2066 0.93573 0.000 0.060 0.940
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.92847 0.000 1.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.1964 0.93827 0.000 0.056 0.944
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.1964 0.88967 0.944 0.000 0.056
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.90277 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0237 0.92671 0.000 0.996 0.004
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.2066 0.88857 0.940 0.000 0.060
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.1163 0.90850 0.000 0.972 0.028
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.1964 0.93827 0.000 0.056 0.944
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.1964 0.88967 0.944 0.000 0.056
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.92847 0.000 1.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.90277 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.92847 0.000 1.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0237 0.92693 0.000 0.996 0.004
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.9639 0.16484 0.448 0.220 0.332
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.1753 0.89256 0.952 0.000 0.048
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.1031 0.91166 0.000 0.976 0.024
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.5859 0.50665 0.000 0.656 0.344
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.1289 0.90530 0.000 0.968 0.032
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.90277 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.90277 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.90277 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.92847 0.000 1.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.90277 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.90277 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.92847 0.000 1.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.92847 0.000 1.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.92847 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.92847 0.000 1.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0237 0.92693 0.000 0.996 0.004
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.92847 0.000 1.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.1163 0.90901 0.000 0.972 0.028
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.92847 0.000 1.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.92847 0.000 1.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.92847 0.000 1.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.5968 0.41434 0.000 0.636 0.364
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.1964 0.88967 0.944 0.000 0.056
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 1 0.9906 0.03418 0.388 0.272 0.340
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.90277 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.1964 0.93827 0.000 0.056 0.944
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.92847 0.000 1.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0237 0.92671 0.000 0.996 0.004
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 1 0.9863 0.06515 0.400 0.260 0.340
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.92847 0.000 1.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.1964 0.93827 0.000 0.056 0.944
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.0592 0.94850 0.000 0.016 0.000 0.984
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.3801 0.69529 0.220 0.780 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.2999 0.83167 0.000 0.132 0.004 0.864
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.4331 0.66778 0.288 0.712 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 2 0.0000 0.66346 0.000 1.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.5820 0.54719 0.000 0.080 0.680 0.240
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.4961 -0.00983 0.552 0.448 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.4193 0.67838 0.268 0.732 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.4454 0.65447 0.308 0.692 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 4 0.1637 0.91327 0.000 0.060 0.000 0.940
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.1022 0.94044 0.000 0.000 0.032 0.968
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.0188 0.95446 0.000 0.004 0.000 0.996
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 4 0.0188 0.95460 0.000 0.004 0.000 0.996
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 2 0.4454 0.65447 0.308 0.692 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.4961 0.01335 0.552 0.448 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.5052 0.62568 0.000 0.244 0.036 0.720
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.1118 0.93754 0.000 0.000 0.036 0.964
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.5039 0.19370 0.000 0.592 0.004 0.404
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.0817 0.67188 0.024 0.976 0.000 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.4923 0.65618 0.304 0.684 0.008 0.004
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.0921 0.94313 0.000 0.000 0.028 0.972
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.5137 0.06240 0.000 0.544 0.004 0.452
#> 745233F1-DF41-4DDA-9146-1666DD59355E 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.4454 0.65447 0.308 0.692 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.2197 0.89295 0.000 0.080 0.004 0.916
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 4 0.7036 0.06949 0.000 0.384 0.124 0.492
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.4608 0.53710 0.000 0.304 0.004 0.692
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.2081 0.62829 0.000 0.916 0.000 0.084
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.3569 0.72578 0.804 0.196 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.4454 0.65447 0.308 0.692 0.000 0.000
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#> BDC31CC4-927C-49B1-819B-5119AA8422E8 4 0.5163 0.14541 0.000 0.480 0.004 0.516
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.4843 0.22077 0.604 0.396 0.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.3975 0.63089 0.760 0.240 0.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 2 0.0000 0.66346 0.000 1.000 0.000 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.0000 0.66346 0.000 1.000 0.000 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0336 0.90779 0.992 0.008 0.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.2281 0.83583 0.904 0.096 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 2 0.4454 0.65272 0.308 0.692 0.000 0.000
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 2 0.4643 0.60284 0.344 0.656 0.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 4 0.0188 0.95460 0.000 0.004 0.000 0.996
#> FC2F983B-2530-4886-B759-E2C571E2D068 4 0.0817 0.94580 0.000 0.000 0.024 0.976
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 2 0.4072 0.68493 0.252 0.748 0.000 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 4 0.0376 0.95430 0.000 0.004 0.004 0.992
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 4 0.2216 0.88717 0.000 0.000 0.092 0.908
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.0469 0.95216 0.000 0.000 0.012 0.988
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 4 0.0921 0.94313 0.000 0.000 0.028 0.972
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 2 0.4008 0.68786 0.244 0.756 0.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.5147 0.21055 0.000 0.460 0.536 0.004
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.0376 0.95430 0.000 0.004 0.004 0.992
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0188 0.91201 0.996 0.004 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.5119 0.26326 0.000 0.440 0.556 0.004
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.1389 0.64636 0.000 0.952 0.000 0.048
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 4 0.0188 0.95446 0.000 0.004 0.000 0.996
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 4 0.4072 0.64065 0.000 0.252 0.000 0.748
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0592 0.90326 0.984 0.016 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 2 0.1474 0.67079 0.052 0.948 0.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.4431 0.51053 0.696 0.304 0.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.4454 0.65447 0.308 0.692 0.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.1902 0.64112 0.004 0.932 0.000 0.064
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0707 0.90161 0.980 0.020 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.0376 0.95430 0.000 0.004 0.004 0.992
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0592 0.95033 0.000 0.000 0.016 0.984
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.0469 0.66801 0.012 0.988 0.000 0.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.0000 0.66346 0.000 1.000 0.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.2704 0.59346 0.000 0.876 0.000 0.124
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0376 0.95430 0.000 0.004 0.004 0.992
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.1022 0.94044 0.000 0.000 0.032 0.968
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.4040 0.45559 0.000 0.752 0.000 0.248
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 4 0.0592 0.94700 0.000 0.016 0.000 0.984
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0707 0.94816 0.000 0.000 0.020 0.980
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.0000 0.66346 0.000 1.000 0.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 4 0.0188 0.95446 0.000 0.004 0.000 0.996
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 2 0.4072 0.55112 0.252 0.748 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0817 0.94577 0.000 0.000 0.024 0.976
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 4 0.0188 0.95490 0.000 0.000 0.004 0.996
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.4605 0.42436 0.664 0.336 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0188 0.95490 0.000 0.000 0.004 0.996
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.4030 0.76579 0.000 0.072 0.836 0.092
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 2 0.4522 0.64199 0.320 0.680 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.0188 0.95446 0.000 0.004 0.000 0.996
#> 15FB165D-6751-4894-A904-C77EA723CFCB 2 0.4543 0.63634 0.324 0.676 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 4 0.0188 0.95460 0.000 0.004 0.000 0.996
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.4522 0.62545 0.320 0.680 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0469 0.95216 0.000 0.000 0.012 0.988
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.5052 0.68260 0.244 0.720 0.000 0.036
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.4790 0.29966 0.620 0.380 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.3123 0.56286 0.000 0.844 0.000 0.156
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.2888 0.85238 0.000 0.124 0.004 0.872
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 4 0.0188 0.95446 0.000 0.004 0.000 0.996
#> 635170D3-D669-4165-B69C-9C9A246BFF11 4 0.0188 0.95490 0.000 0.000 0.004 0.996
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.1305 0.93428 0.000 0.036 0.004 0.960
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 4 0.1302 0.93113 0.000 0.000 0.044 0.956
#> A280A4AF-0687-40CA-8804-C6173B33E732 2 0.4981 0.31191 0.464 0.536 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.2714 0.61600 0.004 0.884 0.000 0.112
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.91449 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.90197 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0376 0.95430 0.000 0.004 0.004 0.992
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.2053 0.63680 0.004 0.924 0.000 0.072
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 4 0.0000 0.95570 0.000 0.000 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.90197 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0880 0.59211 0.000 0.968 0.000 0.032 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.0963 0.74821 0.000 0.000 0.000 0.036 0.964
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.3421 0.47006 0.000 0.788 0.008 0.204 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.3231 0.48485 0.000 0.800 0.004 0.196 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.4798 0.35283 0.000 0.396 0.000 0.580 0.024
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.4425 0.01354 0.000 0.600 0.000 0.392 0.008
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 5 0.0912 0.75399 0.012 0.000 0.000 0.016 0.972
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.4074 0.69803 0.000 0.000 0.000 0.364 0.636
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.5547 0.65797 0.000 0.052 0.632 0.292 0.024
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0703 0.60952 0.000 0.976 0.000 0.024 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.3487 0.71819 0.212 0.000 0.000 0.008 0.780
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.5422 0.73142 0.196 0.000 0.000 0.144 0.660
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.1106 0.74558 0.012 0.000 0.000 0.024 0.964
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0807 0.60053 0.000 0.976 0.000 0.012 0.012
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.6191 0.32340 0.000 0.424 0.136 0.440 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0510 0.60729 0.000 0.984 0.000 0.016 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.5337 -0.21387 0.000 0.508 0.052 0.440 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.93166 1.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0693 0.60363 0.000 0.980 0.000 0.012 0.008
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.0912 0.75092 0.016 0.000 0.000 0.012 0.972
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.1197 0.60018 0.000 0.952 0.000 0.048 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.89052 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0324 0.92948 0.992 0.000 0.000 0.004 0.004
#> B7A23896-4182-48D3-A1D9-92C781BF283F 5 0.2886 0.75439 0.148 0.000 0.000 0.008 0.844
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.6850 -0.10008 0.000 0.136 0.356 0.476 0.032
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0162 0.61463 0.000 0.996 0.000 0.004 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.6161 0.32346 0.000 0.424 0.132 0.444 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0324 0.92948 0.992 0.000 0.000 0.004 0.004
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.5263 0.00922 0.000 0.100 0.000 0.660 0.240
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.5511 0.71793 0.080 0.000 0.000 0.344 0.576
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.93166 1.000 0.000 0.000 0.000 0.000
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#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.4339 -0.30482 0.000 0.012 0.000 0.652 0.336
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0324 0.92866 0.992 0.000 0.000 0.004 0.004
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.89052 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0162 0.61463 0.000 0.996 0.000 0.004 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.4637 0.31352 0.000 0.452 0.000 0.536 0.012
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.4403 -0.41990 0.000 0.008 0.000 0.608 0.384
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.2732 0.52530 0.000 0.840 0.000 0.160 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.89052 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.2020 0.88460 0.000 0.896 0.000 0.096 0.000 0.008
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.1863 0.66878 0.000 0.036 0.000 0.000 0.920 0.044
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 4 0.3596 0.66692 0.000 0.216 0.008 0.760 0.000 0.016
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.4178 0.52977 0.000 0.284 0.012 0.684 0.000 0.020
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.3424 0.67921 0.000 0.036 0.000 0.800 0.004 0.160
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 4 0.3539 0.67918 0.000 0.220 0.000 0.756 0.000 0.024
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 5 0.1644 0.67224 0.000 0.028 0.000 0.000 0.932 0.040
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.3606 0.57144 0.000 0.016 0.000 0.000 0.728 0.256
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.5425 0.48663 0.000 0.008 0.604 0.232 0.000 0.156
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.3081 0.78596 0.000 0.776 0.000 0.220 0.000 0.004
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.2573 0.65086 0.112 0.000 0.000 0.000 0.864 0.024
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.3701 0.63870 0.036 0.012 0.000 0.000 0.784 0.168
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.1946 0.66409 0.004 0.012 0.000 0.000 0.912 0.072
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.2994 0.86711 0.000 0.856 0.000 0.096 0.028 0.020
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.2862 0.77540 0.000 0.008 0.080 0.864 0.000 0.048
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.1858 0.88496 0.000 0.904 0.000 0.092 0.000 0.004
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.1991 0.80614 0.000 0.044 0.024 0.920 0.000 0.012
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.2219 0.84708 0.864 0.000 0.000 0.000 0.000 0.136
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.2313 0.88363 0.000 0.884 0.000 0.100 0.012 0.004
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.1151 0.67857 0.012 0.000 0.000 0.000 0.956 0.032
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.3337 0.72987 0.000 0.736 0.000 0.260 0.000 0.004
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0547 0.85574 0.000 0.000 0.980 0.000 0.000 0.020
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.1334 0.85619 0.948 0.000 0.000 0.000 0.020 0.032
#> B7A23896-4182-48D3-A1D9-92C781BF283F 5 0.3516 0.58098 0.164 0.000 0.000 0.000 0.788 0.048
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.6278 0.06713 0.000 0.008 0.280 0.452 0.004 0.256
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.2020 0.88557 0.000 0.896 0.000 0.096 0.000 0.008
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.2865 0.78203 0.000 0.012 0.064 0.868 0.000 0.056
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0260 0.86223 0.992 0.000 0.000 0.000 0.000 0.008
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 6 0.6192 0.68302 0.000 0.068 0.000 0.288 0.104 0.540
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.5008 0.37223 0.028 0.024 0.000 0.004 0.576 0.368
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.2219 0.84708 0.864 0.000 0.000 0.000 0.000 0.136
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 5 0.4403 0.50367 0.000 0.032 0.000 0.016 0.684 0.268
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0972 0.85885 0.964 0.000 0.000 0.000 0.008 0.028
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.2389 0.78584 0.000 0.000 0.060 0.888 0.000 0.052
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.2219 0.84708 0.864 0.000 0.000 0.000 0.000 0.136
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 6 0.6344 0.66240 0.000 0.076 0.000 0.296 0.108 0.520
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.1970 0.88491 0.000 0.900 0.000 0.092 0.000 0.008
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.1633 0.68126 0.024 0.000 0.000 0.000 0.932 0.044
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.3287 0.78850 0.000 0.768 0.000 0.220 0.000 0.012
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.3283 0.67797 0.000 0.036 0.000 0.804 0.000 0.160
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.6367 0.20217 0.000 0.008 0.416 0.300 0.004 0.272
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 6 0.6395 0.50993 0.000 0.048 0.016 0.404 0.084 0.448
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 6 0.5573 0.65717 0.000 0.020 0.000 0.128 0.256 0.596
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.6132 0.22658 0.376 0.028 0.000 0.004 0.472 0.120
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 5 0.2095 0.66378 0.004 0.016 0.000 0.000 0.904 0.076
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.6141 0.14802 0.000 0.016 0.116 0.540 0.024 0.304
#> EE4F9349-F750-4471-BFE7-7230784569E1 6 0.6193 0.69558 0.000 0.052 0.000 0.180 0.204 0.564
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.2266 0.80610 0.000 0.040 0.024 0.908 0.000 0.028
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.1141 0.86337 0.948 0.000 0.000 0.000 0.000 0.052
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0865 0.86528 0.964 0.000 0.000 0.000 0.000 0.036
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 5 0.3816 0.55430 0.000 0.028 0.000 0.012 0.760 0.200
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.1972 0.79627 0.000 0.024 0.004 0.916 0.000 0.056
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.2058 0.80036 0.000 0.024 0.012 0.916 0.000 0.048
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 6 0.5889 0.54057 0.000 0.072 0.000 0.368 0.052 0.508
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.2506 0.78417 0.000 0.000 0.068 0.880 0.000 0.052
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.1918 0.88375 0.000 0.904 0.000 0.088 0.000 0.008
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.5536 -0.22041 0.000 0.064 0.000 0.476 0.028 0.432
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.2844 0.78147 0.000 0.104 0.020 0.860 0.000 0.016
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 5 0.3069 0.65253 0.096 0.020 0.000 0.000 0.852 0.032
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 5 0.4544 0.22083 0.416 0.000 0.000 0.000 0.548 0.036
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.1493 0.79098 0.000 0.004 0.004 0.936 0.000 0.056
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 6 0.5850 0.67124 0.000 0.020 0.000 0.164 0.256 0.560
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.2664 0.86752 0.000 0.848 0.000 0.136 0.000 0.016
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 4 0.2411 0.80286 0.000 0.024 0.032 0.900 0.000 0.044
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 4 0.5662 0.36250 0.000 0.320 0.000 0.564 0.044 0.072
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.3969 0.48237 0.000 0.312 0.000 0.668 0.000 0.020
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.1511 0.80037 0.000 0.004 0.012 0.940 0.000 0.044
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.4482 0.36877 0.000 0.552 0.000 0.416 0.000 0.032
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.6623 0.29027 0.000 0.012 0.452 0.232 0.020 0.284
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.1889 0.84773 0.920 0.004 0.000 0.000 0.020 0.056
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.5817 0.10883 0.480 0.028 0.000 0.004 0.408 0.080
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.2322 0.80449 0.000 0.048 0.024 0.904 0.000 0.024
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.1720 0.85019 0.928 0.000 0.000 0.000 0.040 0.032
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 4 0.4049 0.43612 0.000 0.332 0.000 0.648 0.000 0.020
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.1152 0.86544 0.952 0.004 0.000 0.000 0.000 0.044
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.2403 0.80020 0.000 0.020 0.040 0.900 0.000 0.040
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0458 0.86405 0.984 0.000 0.000 0.000 0.000 0.016
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.2964 0.86326 0.000 0.856 0.000 0.100 0.020 0.024
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.3348 0.82355 0.000 0.832 0.000 0.096 0.012 0.060
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 5 0.3579 0.64860 0.120 0.004 0.000 0.000 0.804 0.072
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.2471 0.80290 0.000 0.020 0.040 0.896 0.000 0.044
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.2219 0.84708 0.864 0.000 0.000 0.000 0.000 0.136
#> 27875588-7C41-49BB-A4C0-A66D72A12499 5 0.4989 0.45723 0.000 0.032 0.028 0.008 0.640 0.292
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.2020 0.88547 0.000 0.896 0.000 0.096 0.000 0.008
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 4 0.2421 0.80287 0.000 0.028 0.032 0.900 0.000 0.040
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.1918 0.88375 0.000 0.904 0.000 0.088 0.000 0.008
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.3284 0.73485 0.000 0.004 0.804 0.016 0.004 0.172
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.4965 0.38733 0.024 0.028 0.000 0.004 0.592 0.352
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.3923 0.52024 0.000 0.620 0.000 0.372 0.000 0.008
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.2915 0.81869 0.000 0.872 0.000 0.048 0.044 0.036
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.2020 0.88596 0.000 0.896 0.000 0.096 0.000 0.008
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 5 0.5067 0.43501 0.000 0.124 0.000 0.024 0.684 0.168
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.4294 0.35825 0.000 0.552 0.000 0.428 0.000 0.020
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 4 0.3330 0.77963 0.000 0.032 0.040 0.848 0.004 0.076
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.4187 0.64074 0.084 0.028 0.000 0.000 0.776 0.112
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.2058 0.79587 0.000 0.000 0.036 0.908 0.000 0.056
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.4203 0.30850 0.004 0.004 0.000 0.004 0.564 0.424
#> 9ECB653A-A04F-457C-92FC-D13424511A47 5 0.6152 0.03063 0.000 0.340 0.000 0.032 0.488 0.140
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 5 0.4688 0.41389 0.328 0.004 0.000 0.000 0.616 0.052
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.1918 0.88013 0.000 0.904 0.000 0.088 0.000 0.008
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 5 0.3840 0.53253 0.000 0.020 0.000 0.000 0.696 0.284
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.2219 0.84708 0.864 0.000 0.000 0.000 0.000 0.136
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 5 0.2579 0.65546 0.088 0.000 0.000 0.000 0.872 0.040
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.2151 0.80425 0.000 0.048 0.024 0.912 0.000 0.016
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 4 0.4224 0.67830 0.000 0.156 0.004 0.744 0.000 0.096
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.3043 0.81514 0.000 0.792 0.000 0.200 0.000 0.008
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.4338 0.11586 0.000 0.496 0.000 0.484 0.000 0.020
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 4 0.2112 0.80591 0.000 0.036 0.028 0.916 0.000 0.020
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 5 0.6412 0.26764 0.000 0.020 0.072 0.068 0.532 0.308
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.1765 0.85748 0.904 0.000 0.000 0.000 0.000 0.096
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.2875 0.81873 0.872 0.028 0.000 0.000 0.064 0.036
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.1921 0.80116 0.000 0.000 0.032 0.916 0.000 0.052
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.5957 0.42830 0.000 0.012 0.548 0.236 0.004 0.200
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.2219 0.84708 0.864 0.000 0.000 0.000 0.000 0.136
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.2048 0.85177 0.880 0.000 0.000 0.000 0.000 0.120
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.2074 0.84351 0.912 0.004 0.000 0.000 0.036 0.048
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.1958 0.88510 0.000 0.896 0.000 0.100 0.000 0.004
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0632 0.85616 0.000 0.000 0.976 0.000 0.000 0.024
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0363 0.85469 0.000 0.000 0.988 0.000 0.000 0.012
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 4 0.1349 0.78983 0.000 0.004 0.000 0.940 0.000 0.056
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 5 0.3245 0.62086 0.000 0.028 0.000 0.000 0.800 0.172
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 5 0.1036 0.67601 0.004 0.008 0.000 0.000 0.964 0.024
#> ED604501-C110-4693-820B-DE9FB648FEAA 5 0.3649 0.56289 0.196 0.000 0.000 0.000 0.764 0.040
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.1858 0.87388 0.000 0.912 0.000 0.076 0.000 0.012
#> 113340B4-B092-4B8C-8A13-5932525B0C33 5 0.5020 0.42893 0.036 0.024 0.000 0.004 0.608 0.328
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 4 0.1500 0.79742 0.000 0.000 0.012 0.936 0.000 0.052
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.3399 0.72390 0.000 0.832 0.000 0.016 0.088 0.064
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 4 0.4843 0.46805 0.000 0.000 0.300 0.616 0.000 0.084
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.1010 0.86574 0.960 0.000 0.000 0.000 0.004 0.036
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.1434 0.85587 0.948 0.012 0.000 0.000 0.012 0.028
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.2331 0.81914 0.888 0.000 0.000 0.000 0.080 0.032
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 4 0.4708 0.67569 0.000 0.028 0.052 0.752 0.028 0.140
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.2219 0.84708 0.864 0.000 0.000 0.000 0.000 0.136
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.2290 0.87640 0.000 0.892 0.000 0.084 0.020 0.004
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#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 6 0.5627 0.66687 0.000 0.016 0.000 0.144 0.256 0.584
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.4405 0.49193 0.644 0.004 0.000 0.000 0.316 0.036
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.2499 0.77359 0.000 0.048 0.000 0.880 0.000 0.072
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.3623 0.77819 0.820 0.028 0.000 0.000 0.096 0.056
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.1594 0.80005 0.000 0.000 0.016 0.932 0.000 0.052
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 5 0.4322 0.16871 0.000 0.008 0.000 0.008 0.512 0.472
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.4282 0.29749 0.000 0.020 0.000 0.000 0.560 0.420
#> BF513557-1518-4843-9F62-837B557D4CAB 5 0.6226 0.09324 0.000 0.232 0.000 0.028 0.516 0.224
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.1858 0.86159 0.904 0.004 0.000 0.000 0.000 0.092
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.4086 0.24733 0.000 0.528 0.000 0.464 0.000 0.008
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.1307 0.85646 0.952 0.008 0.000 0.000 0.008 0.032
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.1779 0.78414 0.000 0.016 0.000 0.920 0.000 0.064
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.2583 0.79526 0.000 0.016 0.044 0.888 0.000 0.052
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.2219 0.84708 0.864 0.000 0.000 0.000 0.000 0.136
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 5 0.6541 -0.14633 0.000 0.376 0.000 0.032 0.384 0.208
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.1910 0.85497 0.892 0.000 0.000 0.000 0.000 0.108
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.1970 0.88466 0.000 0.900 0.000 0.092 0.000 0.008
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.1501 0.86068 0.924 0.000 0.000 0.000 0.000 0.076
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 4 0.3627 0.73923 0.000 0.056 0.008 0.816 0.008 0.112
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.2328 0.78921 0.000 0.000 0.056 0.892 0.000 0.052
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.3558 0.58938 0.000 0.028 0.000 0.000 0.760 0.212
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.2489 0.86946 0.000 0.860 0.000 0.128 0.000 0.012
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.2219 0.84708 0.864 0.000 0.000 0.000 0.000 0.136
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.6212 0.35436 0.144 0.028 0.000 0.004 0.500 0.324
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.2066 0.79461 0.000 0.000 0.040 0.908 0.000 0.052
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0713 0.85958 0.972 0.000 0.000 0.000 0.000 0.028
#> EDD5BA86-0402-4002-8040-2B98F43DA758 4 0.2477 0.80614 0.000 0.048 0.024 0.896 0.000 0.032
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.2649 0.80005 0.000 0.064 0.024 0.884 0.000 0.028
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.4151 0.64029 0.100 0.028 0.000 0.000 0.780 0.092
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.1760 0.79228 0.000 0.020 0.004 0.928 0.000 0.048
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.4190 0.66063 0.000 0.000 0.740 0.112 0.000 0.148
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.4116 0.38902 0.000 0.572 0.000 0.416 0.000 0.012
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0547 0.85574 0.000 0.000 0.980 0.000 0.000 0.020
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.2456 0.67615 0.008 0.028 0.000 0.000 0.888 0.076
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.1151 0.85963 0.956 0.000 0.000 0.000 0.012 0.032
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.3156 0.82165 0.000 0.800 0.000 0.180 0.000 0.020
#> 15FB165D-6751-4894-A904-C77EA723CFCB 5 0.2058 0.67292 0.036 0.000 0.000 0.000 0.908 0.056
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.2313 0.88363 0.000 0.884 0.000 0.100 0.012 0.004
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0547 0.85574 0.000 0.000 0.980 0.000 0.000 0.020
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 5 0.2579 0.67608 0.048 0.008 0.000 0.000 0.884 0.060
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.2815 0.76687 0.000 0.120 0.000 0.848 0.000 0.032
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.1444 0.86140 0.928 0.000 0.000 0.000 0.000 0.072
#> C543A527-3E25-4389-9722-E9325C733243 4 0.4012 0.41319 0.000 0.344 0.000 0.640 0.000 0.016
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.1616 0.80839 0.000 0.020 0.028 0.940 0.000 0.012
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 5 0.3638 0.58356 0.000 0.036 0.000 0.008 0.784 0.172
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.4042 0.64465 0.096 0.020 0.000 0.000 0.784 0.100
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.2361 0.88339 0.000 0.880 0.000 0.104 0.012 0.004
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 5 0.6373 -0.00935 0.000 0.276 0.000 0.024 0.464 0.236
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.6607 0.05126 0.000 0.256 0.000 0.452 0.040 0.252
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.1444 0.86130 0.928 0.000 0.000 0.000 0.000 0.072
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.2219 0.84708 0.864 0.000 0.000 0.000 0.000 0.136
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.2442 0.84882 0.852 0.000 0.000 0.000 0.004 0.144
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.1970 0.88491 0.000 0.900 0.000 0.092 0.000 0.008
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.2219 0.84708 0.864 0.000 0.000 0.000 0.000 0.136
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.2219 0.84708 0.864 0.000 0.000 0.000 0.000 0.136
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 4 0.2647 0.78999 0.000 0.088 0.020 0.876 0.000 0.016
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 4 0.4091 -0.01941 0.000 0.472 0.000 0.520 0.000 0.008
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.2006 0.88416 0.000 0.892 0.000 0.104 0.000 0.004
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.2146 0.88070 0.000 0.880 0.000 0.116 0.000 0.004
#> 635170D3-D669-4165-B69C-9C9A246BFF11 4 0.3195 0.79478 0.000 0.080 0.016 0.852 0.004 0.048
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.2750 0.76019 0.000 0.136 0.000 0.844 0.000 0.020
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.1913 0.87686 0.000 0.908 0.000 0.080 0.000 0.012
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.1663 0.88460 0.000 0.912 0.000 0.088 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.1958 0.88510 0.000 0.896 0.000 0.100 0.000 0.004
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.1918 0.88014 0.000 0.904 0.000 0.088 0.000 0.008
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 4 0.3231 0.77466 0.000 0.024 0.052 0.848 0.000 0.076
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.3534 0.66162 0.060 0.028 0.000 0.000 0.828 0.084
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 6 0.5660 0.64769 0.000 0.012 0.000 0.148 0.276 0.564
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.2156 0.86284 0.912 0.020 0.000 0.000 0.020 0.048
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0547 0.85574 0.000 0.000 0.980 0.000 0.000 0.020
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.1918 0.88419 0.000 0.904 0.000 0.088 0.000 0.008
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.2350 0.77591 0.000 0.036 0.000 0.888 0.000 0.076
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 6 0.5645 0.64386 0.000 0.020 0.000 0.128 0.272 0.580
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 4 0.4105 0.39790 0.000 0.348 0.000 0.632 0.000 0.020
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0547 0.85574 0.000 0.000 0.980 0.000 0.000 0.020
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 17630 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 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 1.000 0.974 0.990 0.4787 0.521 0.521
#> 3 3 0.972 0.940 0.976 0.3400 0.773 0.590
#> 4 4 0.937 0.915 0.964 0.1529 0.833 0.575
#> 5 5 0.719 0.641 0.830 0.0524 0.945 0.805
#> 6 6 0.711 0.589 0.769 0.0404 0.875 0.563
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
#> attr(,"optional")
#> [1] 2 3
There is also optional best \(k\) = 2 3 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9936 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9840 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9936 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9936 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.9936 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9936 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.9840 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9840 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.9936 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9936 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9840 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9840 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9840 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.9996 0.0295 0.488 0.512
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.9936 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9936 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.9936 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9840 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9936 0.000 1.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9840 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9936 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.9936 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9840 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9840 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.9936 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9936 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.9936 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9840 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.9936 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.0000 0.9936 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9840 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.0000 0.9936 0.000 1.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9840 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.9936 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9840 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.9936 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9936 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.9840 1.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9936 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.9936 0.000 1.000
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#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9840 1.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0000 0.9936 0.000 1.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.9840 1.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9840 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.0000 0.9936 0.000 1.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9840 1.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.9936 0.000 1.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9840 1.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.9936 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.9710 0.3181 0.400 0.600
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.9840 1.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 1 0.0000 0.9840 1.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9840 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9936 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9840 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.9936 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.9936 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9840 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 1 0.0672 0.9766 0.992 0.008
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9840 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9936 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9840 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.9936 0.000 1.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.9936 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.9840 1.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9936 0.000 1.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9840 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9840 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.9936 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9840 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.9936 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.9936 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9840 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.9936 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.9936 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9936 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.9936 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9840 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9840 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9936 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9840 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9936 0.000 1.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.9936 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9840 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.9936 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9840 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9936 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.9936 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.0000 0.9840 1.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9840 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9936 0.000 1.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.0000 0.9840 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.9936 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9840 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9840 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9840 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9936 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9840 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9840 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9936 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9936 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9936 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9936 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.9936 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.9936 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9936 0.000 1.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9936 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9936 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9936 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.9936 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9840 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.9936 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9840 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.9936 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9936 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.9936 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.9936 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9936 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.9936 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9703 0.000 1.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0237 0.9849 0.996 0.004 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9703 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9703 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 3 0.6260 0.2025 0.000 0.448 0.552
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9703 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0237 0.9849 0.996 0.004 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9885 1.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9553 0.000 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9703 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9885 1.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9885 1.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0237 0.9849 0.996 0.004 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9703 0.000 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.0000 0.9553 0.000 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9703 0.000 1.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.9703 0.000 1.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9885 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9703 0.000 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9885 1.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9703 0.000 1.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9553 0.000 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9885 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9885 1.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0000 0.9553 0.000 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9703 0.000 1.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.9553 0.000 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9885 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0592 0.9643 0.000 0.988 0.012
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.7188 -0.0332 0.492 0.484 0.024
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9885 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.0237 0.9524 0.000 0.004 0.996
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9885 1.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.1289 0.9309 0.000 0.032 0.968
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9885 1.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0237 0.9690 0.000 0.996 0.004
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9703 0.000 1.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.9885 1.000 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9703 0.000 1.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0747 0.9615 0.000 0.984 0.016
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9553 0.000 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0892 0.9585 0.000 0.980 0.020
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0237 0.9690 0.000 0.996 0.004
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9885 1.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.9885 1.000 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.0000 0.9553 0.000 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0237 0.9690 0.000 0.996 0.004
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.9703 0.000 1.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9885 1.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9885 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.6809 0.1143 0.524 0.012 0.464
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0424 0.9668 0.000 0.992 0.008
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0237 0.9690 0.000 0.996 0.004
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0592 0.9643 0.000 0.988 0.012
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.0000 0.9553 0.000 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9703 0.000 1.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0237 0.9690 0.000 0.996 0.004
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.9703 0.000 1.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9885 1.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9885 1.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.1289 0.9481 0.000 0.968 0.032
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0424 0.9668 0.000 0.992 0.008
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9703 0.000 1.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 3 0.2959 0.8690 0.000 0.100 0.900
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.9703 0.000 1.000 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.9703 0.000 1.000 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0592 0.9643 0.000 0.988 0.012
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.9703 0.000 1.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.9553 0.000 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9885 1.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.9885 1.000 0.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0237 0.9690 0.000 0.996 0.004
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9885 1.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9703 0.000 1.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9885 1.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.5650 0.5429 0.000 0.688 0.312
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9885 1.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.9703 0.000 1.000 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.9703 0.000 1.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.9885 1.000 0.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.0592 0.9643 0.000 0.988 0.012
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.9885 1.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.0424 0.9487 0.008 0.000 0.992
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.9703 0.000 1.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.3116 0.8662 0.000 0.892 0.108
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.9703 0.000 1.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.9553 0.000 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.0000 0.9885 1.000 0.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.9703 0.000 1.000 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.9703 0.000 1.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.9703 0.000 1.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.6252 0.1940 0.444 0.556 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.9703 0.000 1.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.0424 0.9499 0.000 0.008 0.992
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.9885 1.000 0.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.4062 0.7889 0.000 0.164 0.836
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 2 0.2066 0.9127 0.060 0.940 0.000
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.0000 0.9703 0.000 1.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.9885 1.000 0.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.9703 0.000 1.000 0.000
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#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9553 0.000 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9703 0.000 1.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9553 0.000 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9885 1.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9885 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9703 0.000 1.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9885 1.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9703 0.000 1.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9553 0.000 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9885 1.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0237 0.9690 0.000 0.996 0.004
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9885 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9703 0.000 1.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0592 0.9643 0.000 0.988 0.012
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.0592 0.9765 0.988 0.012 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9885 1.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9703 0.000 1.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.9703 0.000 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0237 0.9690 0.000 0.996 0.004
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9885 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9885 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9885 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9703 0.000 1.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9885 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9885 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9703 0.000 1.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9703 0.000 1.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9703 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9703 0.000 1.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.3551 0.8361 0.000 0.868 0.132
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.9703 0.000 1.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9703 0.000 1.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9703 0.000 1.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9703 0.000 1.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9703 0.000 1.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.9553 0.000 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9885 1.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0237 0.9690 0.000 0.996 0.004
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9885 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9553 0.000 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9703 0.000 1.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.3038 0.8750 0.000 0.896 0.104
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0237 0.9690 0.000 0.996 0.004
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9703 0.000 1.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9553 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.0188 0.9532 0.000 0.004 0.000 0.996
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.0188 0.9348 0.004 0.996 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0188 0.9357 0.000 0.996 0.000 0.004
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0469 0.9320 0.000 0.988 0.000 0.012
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0336 0.9344 0.000 0.992 0.000 0.008
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.2345 0.8489 0.100 0.900 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.0592 0.9461 0.000 0.016 0.000 0.984
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0592 0.9298 0.000 0.984 0.000 0.016
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 2 0.4431 0.5677 0.304 0.696 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0592 0.9298 0.000 0.984 0.000 0.016
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.4843 0.3300 0.000 0.396 0.604 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.1716 0.9106 0.000 0.000 0.936 0.064
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 4 0.3764 0.7137 0.000 0.216 0.000 0.784
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.3942 0.6908 0.764 0.236 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.1716 0.9032 0.000 0.064 0.000 0.936
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.0336 0.9500 0.000 0.000 0.008 0.992
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.3444 0.7561 0.184 0.816 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.4866 0.3160 0.000 0.000 0.596 0.404
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0921 0.9222 0.000 0.972 0.000 0.028
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0188 0.9354 0.000 0.996 0.004 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.0336 0.9510 0.000 0.008 0.000 0.992
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 4 0.0336 0.9510 0.000 0.008 0.000 0.992
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.0188 0.9528 0.000 0.000 0.004 0.996
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 4 0.0336 0.9511 0.000 0.008 0.000 0.992
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.5353 0.2370 0.000 0.556 0.432 0.012
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 4 0.4941 0.2463 0.000 0.436 0.000 0.564
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.1302 0.9384 0.956 0.000 0.000 0.044
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 4 0.0592 0.9459 0.000 0.016 0.000 0.984
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.4040 0.6781 0.000 0.752 0.000 0.248
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.3266 0.7790 0.000 0.832 0.168 0.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 4 0.2081 0.8690 0.084 0.000 0.000 0.916
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0469 0.9320 0.000 0.988 0.000 0.012
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 3 0.2973 0.8168 0.000 0.144 0.856 0.000
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.4661 0.4818 0.000 0.652 0.000 0.348
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.2814 0.8284 0.000 0.868 0.000 0.132
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.0000 0.9796 1.000 0.000 0.000 0.000
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#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 4 0.4746 0.4294 0.000 0.368 0.000 0.632
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0336 0.9340 0.000 0.992 0.000 0.008
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.4804 0.4056 0.000 0.616 0.000 0.384
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.5498 0.3078 0.000 0.576 0.404 0.020
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.2921 0.8197 0.000 0.140 0.000 0.860
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.0336 0.9510 0.000 0.008 0.000 0.992
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 4 0.4877 0.3186 0.000 0.408 0.000 0.592
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0592 0.9571 0.000 0.016 0.984 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9796 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.0000 0.9550 0.000 0.000 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9372 0.000 1.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9710 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.6454 0.34174 0.000 0.304 0.000 0.488 0.208
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.6303 -0.08088 0.160 0.476 0.000 0.000 0.364
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0404 0.74612 0.000 0.988 0.000 0.000 0.012
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0162 0.74601 0.000 0.996 0.000 0.004 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0162 0.81725 0.000 0.000 0.000 0.996 0.004
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.2522 0.72747 0.000 0.880 0.000 0.108 0.012
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.6211 0.02262 0.264 0.544 0.000 0.000 0.192
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.4066 0.42519 0.324 0.004 0.000 0.000 0.672
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.93002 0.000 0.000 1.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0609 0.74645 0.000 0.980 0.000 0.000 0.020
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.2966 0.65609 0.816 0.000 0.000 0.000 0.184
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.3631 0.57973 0.824 0.000 0.000 0.104 0.072
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.5972 0.33639 0.152 0.572 0.000 0.000 0.276
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0794 0.74650 0.000 0.972 0.000 0.000 0.028
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.3774 0.61160 0.000 0.000 0.704 0.296 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.5456 0.38486 0.000 0.328 0.000 0.592 0.080
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.5794 0.34875 0.000 0.520 0.000 0.384 0.096
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.3730 0.50528 0.712 0.000 0.000 0.000 0.288
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.1965 0.72149 0.000 0.904 0.000 0.000 0.096
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.6062 0.35996 0.416 0.120 0.000 0.000 0.464
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.1043 0.74741 0.000 0.960 0.000 0.000 0.040
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.93002 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.3707 0.51123 0.716 0.000 0.000 0.000 0.284
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.1851 0.73033 0.912 0.000 0.000 0.000 0.088
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.3774 0.60702 0.000 0.000 0.704 0.296 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.1444 0.74962 0.000 0.948 0.000 0.040 0.012
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.3239 0.78509 0.000 0.004 0.828 0.156 0.012
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.1965 0.72427 0.904 0.000 0.000 0.000 0.096
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.4768 0.57812 0.040 0.000 0.000 0.656 0.304
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.2127 0.71749 0.892 0.000 0.000 0.000 0.108
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.7195 0.12689 0.040 0.340 0.448 0.000 0.172
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.3177 0.62921 0.792 0.000 0.000 0.000 0.208
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.4307 -0.11677 0.000 0.000 0.496 0.504 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.1732 0.73200 0.920 0.000 0.000 0.000 0.080
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.4455 0.31967 0.000 0.588 0.000 0.404 0.008
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.5942 0.05752 0.116 0.360 0.000 0.000 0.524
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.3949 0.47811 0.000 0.332 0.000 0.668 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.1197 0.89415 0.000 0.000 0.952 0.048 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.4698 0.60746 0.000 0.028 0.004 0.664 0.304
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.3969 0.62359 0.000 0.004 0.000 0.692 0.304
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.3932 0.34753 0.672 0.000 0.000 0.000 0.328
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.6158 -0.16204 0.528 0.316 0.000 0.000 0.156
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.1117 0.90859 0.000 0.000 0.964 0.016 0.020
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.3774 0.63135 0.000 0.000 0.000 0.704 0.296
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.3561 0.62945 0.000 0.740 0.000 0.000 0.260
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.1197 0.74122 0.952 0.000 0.000 0.000 0.048
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.3336 0.60731 0.772 0.000 0.000 0.000 0.228
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.4109 0.58709 0.012 0.700 0.000 0.000 0.288
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.4088 0.33108 0.000 0.000 0.368 0.632 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.3262 0.71361 0.000 0.840 0.000 0.124 0.036
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.1043 0.80788 0.000 0.000 0.000 0.960 0.040
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.3480 0.63613 0.000 0.752 0.000 0.000 0.248
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.3039 0.64814 0.808 0.000 0.000 0.000 0.192
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.1043 0.73531 0.960 0.000 0.000 0.000 0.040
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.2280 0.77695 0.000 0.000 0.000 0.880 0.120
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 4 0.5215 0.56135 0.000 0.240 0.000 0.664 0.096
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.4693 0.62179 0.000 0.700 0.056 0.000 0.244
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.4088 0.59658 0.000 0.632 0.000 0.000 0.368
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.2873 0.71091 0.000 0.860 0.000 0.020 0.120
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.2127 0.71605 0.000 0.892 0.000 0.000 0.108
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.93002 0.000 0.000 1.000 0.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.2690 0.68565 0.844 0.000 0.000 0.000 0.156
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.3932 0.34225 0.672 0.000 0.000 0.000 0.328
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.2046 0.77319 0.000 0.068 0.000 0.916 0.016
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.3424 0.58815 0.760 0.000 0.000 0.000 0.240
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.74465 0.000 1.000 0.000 0.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0404 0.74293 0.988 0.000 0.000 0.000 0.012
#> 111625A4-390B-4D8C-BF80-020062CE9D89 3 0.8023 0.20540 0.000 0.240 0.396 0.264 0.100
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.2648 0.68906 0.848 0.000 0.000 0.000 0.152
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.3300 0.71599 0.000 0.792 0.000 0.004 0.204
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 4 0.5751 0.28541 0.000 0.364 0.000 0.540 0.096
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.4848 0.02815 0.556 0.024 0.000 0.000 0.420
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.6120 0.62316 0.000 0.128 0.124 0.672 0.076
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0162 0.74424 0.996 0.000 0.000 0.000 0.004
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.0000 0.93002 0.000 0.000 1.000 0.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 4 0.4495 0.58452 0.000 0.244 0.000 0.712 0.044
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.5172 0.43640 0.000 0.600 0.356 0.008 0.036
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.5289 0.39250 0.000 0.596 0.000 0.340 0.064
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.93002 0.000 0.000 1.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.5511 0.09783 0.576 0.000 0.000 0.080 0.344
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.4063 0.66586 0.000 0.708 0.000 0.012 0.280
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.3480 0.69412 0.000 0.752 0.000 0.000 0.248
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 4 0.5939 0.17450 0.000 0.400 0.000 0.492 0.108
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.4015 0.51997 0.000 0.652 0.000 0.000 0.348
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.5142 0.30970 0.000 0.564 0.000 0.392 0.044
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.4152 0.51837 0.000 0.692 0.296 0.000 0.012
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.4101 0.31431 0.628 0.000 0.000 0.000 0.372
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.0162 0.81682 0.000 0.000 0.004 0.996 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 4 0.6783 0.23674 0.200 0.012 0.000 0.476 0.312
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.3109 0.67964 0.000 0.800 0.000 0.000 0.200
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.1341 0.74284 0.944 0.000 0.000 0.000 0.056
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.1469 0.74992 0.000 0.948 0.000 0.016 0.036
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 3 0.8388 -0.07281 0.228 0.256 0.352 0.000 0.164
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0404 0.74427 0.988 0.000 0.000 0.000 0.012
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.1792 0.72933 0.916 0.000 0.000 0.000 0.084
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.5867 0.06325 0.000 0.404 0.000 0.496 0.100
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.4675 0.34942 0.000 0.600 0.000 0.380 0.020
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.2886 0.72714 0.000 0.844 0.000 0.008 0.148
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.3395 0.65783 0.000 0.764 0.000 0.000 0.236
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.2472 0.74575 0.000 0.908 0.052 0.020 0.020
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#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.5128 0.52337 0.000 0.656 0.000 0.268 0.076
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.3177 0.71490 0.000 0.792 0.000 0.000 0.208
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.93002 0.000 0.000 1.000 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0963 0.74615 0.964 0.000 0.000 0.000 0.036
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.6723 -0.24360 0.408 0.000 0.000 0.260 0.332
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.3561 0.41843 0.740 0.000 0.000 0.000 0.260
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.3309 0.70480 0.000 0.836 0.000 0.036 0.128
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.5203 0.50560 0.060 0.608 0.000 0.000 0.332
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0963 0.74532 0.964 0.000 0.000 0.000 0.036
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.1043 0.80844 0.000 0.000 0.000 0.960 0.040
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0963 0.73528 0.964 0.000 0.000 0.000 0.036
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0963 0.73506 0.964 0.000 0.000 0.000 0.036
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.3196 0.72601 0.004 0.000 0.000 0.804 0.192
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.6530 -0.05352 0.552 0.088 0.000 0.048 0.312
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.4225 0.46250 0.000 0.632 0.000 0.004 0.364
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0703 0.73975 0.976 0.000 0.000 0.000 0.024
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.1851 0.74700 0.000 0.912 0.000 0.000 0.088
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0609 0.74503 0.980 0.000 0.000 0.000 0.020
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0000 0.93002 0.000 0.000 1.000 0.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.3684 0.51891 0.720 0.000 0.000 0.000 0.280
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.5758 0.49945 0.000 0.592 0.000 0.124 0.284
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.3913 0.42054 0.676 0.000 0.000 0.000 0.324
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.2388 0.74197 0.000 0.900 0.000 0.072 0.028
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.2966 0.66039 0.816 0.000 0.000 0.000 0.184
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.3365 0.69785 0.000 0.836 0.120 0.000 0.044
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.3366 0.61176 0.000 0.000 0.232 0.768 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.5373 0.37499 0.092 0.276 0.000 0.000 0.632
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.1845 0.74218 0.000 0.928 0.000 0.016 0.056
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.3177 0.63238 0.792 0.000 0.000 0.000 0.208
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.4446 -0.00688 0.476 0.000 0.000 0.004 0.520
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0703 0.80703 0.000 0.000 0.024 0.976 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0880 0.73580 0.968 0.000 0.000 0.000 0.032
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.5920 0.38283 0.000 0.540 0.356 0.100 0.004
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.2329 0.65901 0.876 0.000 0.000 0.000 0.124
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.93002 0.000 0.000 1.000 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.2516 0.71112 0.000 0.860 0.000 0.000 0.140
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.93002 0.000 0.000 1.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.1197 0.73095 0.952 0.000 0.000 0.000 0.048
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.1478 0.73856 0.936 0.000 0.000 0.000 0.064
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.3051 0.74073 0.000 0.120 0.000 0.852 0.028
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.3305 0.61749 0.776 0.000 0.000 0.000 0.224
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.2377 0.73479 0.000 0.872 0.000 0.000 0.128
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.93002 0.000 0.000 1.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.3452 0.58948 0.756 0.000 0.000 0.000 0.244
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0794 0.81031 0.000 0.000 0.000 0.972 0.028
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.1671 0.73451 0.924 0.000 0.000 0.000 0.076
#> C543A527-3E25-4389-9722-E9325C733243 2 0.3424 0.63883 0.000 0.760 0.000 0.000 0.240
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.2843 0.69568 0.008 0.848 0.000 0.000 0.144
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.2020 0.69669 0.900 0.000 0.000 0.000 0.100
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.2377 0.73345 0.000 0.872 0.000 0.000 0.128
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.3983 0.53851 0.000 0.660 0.000 0.000 0.340
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.3774 0.48582 0.704 0.000 0.000 0.000 0.296
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.3336 0.60730 0.772 0.000 0.000 0.000 0.228
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0609 0.74567 0.980 0.000 0.000 0.000 0.020
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.3690 0.65285 0.000 0.764 0.000 0.224 0.012
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.3366 0.60009 0.768 0.000 0.000 0.000 0.232
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.3143 0.63768 0.796 0.000 0.000 0.000 0.204
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.4039 0.64507 0.000 0.720 0.004 0.008 0.268
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.1851 0.73759 0.000 0.912 0.000 0.000 0.088
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0880 0.74702 0.000 0.968 0.000 0.000 0.032
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.4547 0.31631 0.000 0.588 0.000 0.400 0.012
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.7190 0.30100 0.000 0.452 0.364 0.120 0.064
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.2971 0.71688 0.000 0.156 0.000 0.836 0.008
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.6015 0.28578 0.000 0.360 0.000 0.516 0.124
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0290 0.74584 0.000 0.992 0.000 0.000 0.008
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.1478 0.73716 0.000 0.936 0.000 0.000 0.064
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.3093 0.69732 0.000 0.824 0.000 0.168 0.008
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.3003 0.72818 0.000 0.188 0.812 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.1671 0.73463 0.924 0.000 0.000 0.000 0.076
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.1608 0.79860 0.000 0.000 0.000 0.928 0.072
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0290 0.74550 0.992 0.000 0.000 0.000 0.008
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.93002 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0609 0.74721 0.000 0.980 0.000 0.000 0.020
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.81790 0.000 0.000 0.000 1.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.4280 0.61114 0.004 0.008 0.000 0.676 0.312
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0671 0.74788 0.000 0.980 0.000 0.016 0.004
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.93002 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.5460 0.55988 0.000 0.676 0.000 0.124 0.076 0.124
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.5014 0.55810 0.172 0.132 0.000 0.000 0.680 0.016
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.1285 0.71431 0.000 0.944 0.000 0.004 0.000 0.052
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.2039 0.70690 0.000 0.904 0.000 0.020 0.000 0.076
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0146 0.82029 0.000 0.000 0.000 0.996 0.004 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.2119 0.72033 0.000 0.904 0.000 0.036 0.000 0.060
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.7499 0.33360 0.288 0.284 0.000 0.000 0.132 0.296
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.5110 0.34311 0.088 0.092 0.000 0.000 0.712 0.108
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.94600 0.000 0.000 1.000 0.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.1806 0.68811 0.000 0.908 0.000 0.000 0.004 0.088
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.4122 0.56985 0.472 0.004 0.000 0.000 0.520 0.004
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.3972 0.53337 0.792 0.000 0.000 0.024 0.104 0.080
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 6 0.5294 0.64259 0.164 0.116 0.000 0.000 0.044 0.676
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.2872 0.63557 0.000 0.836 0.000 0.000 0.024 0.140
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.3758 0.48938 0.000 0.000 0.324 0.668 0.008 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.6040 0.37521 0.000 0.540 0.000 0.288 0.036 0.136
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.3743 0.52210 0.000 0.252 0.000 0.724 0.000 0.024
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 5 0.3607 0.69806 0.348 0.000 0.000 0.000 0.652 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.4306 0.21275 0.000 0.624 0.000 0.000 0.032 0.344
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.4838 0.62235 0.240 0.008 0.000 0.000 0.664 0.088
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.1477 0.71603 0.000 0.940 0.000 0.004 0.008 0.048
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.94600 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 5 0.3684 0.69522 0.372 0.000 0.000 0.000 0.628 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.3714 0.07757 0.656 0.000 0.000 0.000 0.340 0.004
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.3592 0.45848 0.000 0.000 0.344 0.656 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0692 0.72685 0.000 0.976 0.000 0.020 0.000 0.004
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.3756 0.62451 0.000 0.000 0.736 0.240 0.008 0.016
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.3531 0.19126 0.672 0.000 0.000 0.000 0.328 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0146 0.82072 0.000 0.000 0.000 0.996 0.000 0.004
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.7413 0.17337 0.200 0.004 0.000 0.420 0.228 0.148
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.3659 0.05153 0.636 0.000 0.000 0.000 0.364 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 6 0.7552 0.50147 0.124 0.104 0.256 0.000 0.052 0.464
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 5 0.3817 0.64812 0.432 0.000 0.000 0.000 0.568 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.3023 0.61688 0.000 0.000 0.232 0.768 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.3309 0.32937 0.720 0.000 0.000 0.000 0.280 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.82164 0.000 0.000 0.000 1.000 0.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.2282 0.72518 0.000 0.888 0.000 0.088 0.000 0.024
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 6 0.5270 0.41771 0.008 0.088 0.000 0.000 0.344 0.560
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.3424 0.64361 0.000 0.772 0.000 0.204 0.000 0.024
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.82164 0.000 0.000 0.000 1.000 0.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.3409 0.54109 0.000 0.000 0.700 0.300 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.8208 -0.05820 0.016 0.288 0.012 0.292 0.228 0.164
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.8476 0.08752 0.140 0.112 0.000 0.356 0.236 0.156
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.5335 0.34380 0.568 0.000 0.000 0.000 0.292 0.140
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.5535 0.21202 0.544 0.032 0.000 0.000 0.068 0.356
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.5166 0.25043 0.000 0.000 0.540 0.364 0.000 0.096
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.8045 0.17239 0.064 0.148 0.000 0.416 0.224 0.148
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 6 0.3767 0.61805 0.000 0.276 0.000 0.004 0.012 0.708
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.3050 0.42547 0.764 0.000 0.000 0.000 0.236 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 5 0.3797 0.66321 0.420 0.000 0.000 0.000 0.580 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 6 0.4736 0.66879 0.060 0.176 0.000 0.000 0.044 0.720
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.82164 0.000 0.000 0.000 1.000 0.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0146 0.82071 0.000 0.004 0.000 0.996 0.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0000 0.82164 0.000 0.000 0.000 1.000 0.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.2003 0.74120 0.000 0.000 0.116 0.884 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.2272 0.72009 0.000 0.900 0.000 0.040 0.004 0.056
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.1285 0.79767 0.000 0.000 0.000 0.944 0.004 0.052
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 6 0.4337 0.64504 0.000 0.244 0.000 0.036 0.016 0.704
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 5 0.3828 0.63518 0.440 0.000 0.000 0.000 0.560 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.3806 0.50230 0.776 0.000 0.000 0.000 0.136 0.088
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.82164 0.000 0.000 0.000 1.000 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.3001 0.72801 0.000 0.008 0.000 0.840 0.024 0.128
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.4640 0.59998 0.000 0.700 0.000 0.208 0.012 0.080
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#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.82164 0.000 0.000 0.000 1.000 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.8475 0.07609 0.096 0.148 0.000 0.348 0.236 0.172
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1334 0.72369 0.000 0.948 0.000 0.020 0.000 0.032
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.94600 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "hclust"]
# you can also extract it by
# res = res_list["CV:hclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17630 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 0.280 0.558 0.747 0.3430 0.813 0.813
#> 3 3 0.441 0.696 0.854 0.5728 0.620 0.539
#> 4 4 0.434 0.510 0.745 0.2082 0.905 0.799
#> 5 5 0.587 0.576 0.767 0.0942 0.848 0.640
#> 6 6 0.603 0.611 0.729 0.0281 0.953 0.848
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.1843 0.6613 0.028 0.972
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.7602 0.6556 0.220 0.780
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0672 0.6492 0.008 0.992
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0938 0.6459 0.012 0.988
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.2603 0.5959 0.044 0.956
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.2778 0.6301 0.048 0.952
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.8016 0.6517 0.244 0.756
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 2 0.7745 0.6574 0.228 0.772
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 1 0.9944 0.9911 0.544 0.456
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.1633 0.6604 0.024 0.976
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.8016 0.6503 0.244 0.756
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.8327 0.6485 0.264 0.736
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.8661 0.6388 0.288 0.712
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.5059 0.6706 0.112 0.888
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.8661 -0.2357 0.288 0.712
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0376 0.6514 0.004 0.996
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.3114 0.5886 0.056 0.944
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 2 0.9944 0.5556 0.456 0.544
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.3114 0.6687 0.056 0.944
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 2 0.9909 0.5629 0.444 0.556
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0376 0.6511 0.004 0.996
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 1 0.9944 0.9911 0.544 0.456
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 2 0.9944 0.5556 0.456 0.544
#> B7A23896-4182-48D3-A1D9-92C781BF283F 2 0.9044 0.6278 0.320 0.680
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.9795 -0.7034 0.416 0.584
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0376 0.6511 0.004 0.996
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.9552 -0.5784 0.376 0.624
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 2 0.9944 0.5556 0.456 0.544
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0672 0.6428 0.008 0.992
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.4298 0.6691 0.088 0.912
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 2 0.9944 0.5556 0.456 0.544
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.8713 0.6376 0.292 0.708
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 2 0.9491 0.6074 0.368 0.632
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.9209 -0.4348 0.336 0.664
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 2 0.9933 0.5590 0.452 0.548
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0672 0.6428 0.008 0.992
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.2423 0.6646 0.040 0.960
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.6801 0.6646 0.180 0.820
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0672 0.6533 0.008 0.992
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0672 0.6428 0.008 0.992
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.9833 -0.7267 0.424 0.576
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.4022 0.6641 0.080 0.920
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.4022 0.6687 0.080 0.920
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 2 0.5408 0.6696 0.124 0.876
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.8661 0.6388 0.288 0.712
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.6887 0.2739 0.184 0.816
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.4022 0.6687 0.080 0.920
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0672 0.6432 0.008 0.992
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 2 0.9933 0.5590 0.452 0.548
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 2 0.9933 0.5590 0.452 0.548
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.8207 0.6488 0.256 0.744
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0672 0.6428 0.008 0.992
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0672 0.6428 0.008 0.992
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0672 0.6428 0.008 0.992
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.8144 -0.0648 0.252 0.748
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.6488 0.000 1.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0672 0.6428 0.008 0.992
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.1184 0.6351 0.016 0.984
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 2 0.9427 0.6099 0.360 0.640
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 2 0.9044 0.6294 0.320 0.680
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0672 0.6428 0.008 0.992
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.1184 0.6495 0.016 0.984
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0376 0.6462 0.004 0.996
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.1184 0.6351 0.016 0.984
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0938 0.6464 0.012 0.988
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0376 0.6461 0.004 0.996
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0672 0.6428 0.008 0.992
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0672 0.6493 0.008 0.992
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.9933 -0.8076 0.452 0.548
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 2 0.9427 0.6099 0.360 0.640
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 2 0.5519 0.6695 0.128 0.872
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0672 0.6428 0.008 0.992
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 2 0.9944 0.5556 0.456 0.544
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.2778 0.6509 0.048 0.952
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 2 0.9815 0.5787 0.420 0.580
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.6247 0.3454 0.156 0.844
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 2 0.9944 0.5556 0.456 0.544
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0376 0.6461 0.004 0.996
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0672 0.6494 0.008 0.992
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 2 0.7745 0.6574 0.228 0.772
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.6438 0.3187 0.164 0.836
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 2 0.9686 0.5927 0.396 0.604
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.9944 0.9911 0.544 0.456
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0376 0.6462 0.004 0.996
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.7139 0.2040 0.196 0.804
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.6488 0.000 1.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 1 0.9944 0.9911 0.544 0.456
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 2 0.4161 0.6690 0.084 0.916
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0376 0.6461 0.004 0.996
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.6488 0.000 1.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.6488 0.000 1.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.7602 0.6556 0.220 0.780
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0672 0.6488 0.008 0.992
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.8608 -0.2151 0.284 0.716
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 2 0.4815 0.6701 0.104 0.896
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.8713 -0.2530 0.292 0.708
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 2 0.4022 0.6687 0.080 0.920
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.7453 0.6578 0.212 0.788
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 2 0.9933 0.5590 0.452 0.548
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0376 0.6511 0.004 0.996
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.8327 0.6485 0.264 0.736
#> 228C2042-804C-47FA-B565-1993E1015D40 2 0.9933 0.5590 0.452 0.548
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 2 0.9922 0.5619 0.448 0.552
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.0376 0.6461 0.004 0.996
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.4562 0.6376 0.096 0.904
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.1414 0.6589 0.020 0.980
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0376 0.6461 0.004 0.996
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.5408 0.4343 0.124 0.876
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.9552 -0.5784 0.376 0.624
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 2 0.9933 0.5591 0.452 0.548
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 2 0.9358 0.6145 0.352 0.648
#> 37A8E941-F86F-449A-86E4-833AC349111F 2 0.1843 0.6200 0.028 0.972
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 2 0.9866 -0.7514 0.432 0.568
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 2 0.9944 0.5556 0.456 0.544
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 2 0.9922 0.5621 0.448 0.552
#> 33233781-A799-4610-86FC-C836713D31AA 2 0.9608 0.5992 0.384 0.616
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.2043 0.6627 0.032 0.968
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 1 0.9944 0.9911 0.544 0.456
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 1 0.9944 0.9911 0.544 0.456
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 2 0.0672 0.6428 0.008 0.992
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 2 0.7602 0.6556 0.220 0.780
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 2 0.8955 0.6324 0.312 0.688
#> ED604501-C110-4693-820B-DE9FB648FEAA 2 0.9460 0.6096 0.364 0.636
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.2236 0.6642 0.036 0.964
#> 113340B4-B092-4B8C-8A13-5932525B0C33 2 0.4939 0.6703 0.108 0.892
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 2 0.7219 0.1891 0.200 0.800
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.1414 0.6590 0.020 0.980
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 2 0.9248 -0.4504 0.340 0.660
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 2 0.9933 0.5591 0.452 0.548
#> A21476BD-0550-4D87-80EA-6E1454E0896D 2 0.9881 0.5702 0.436 0.564
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 2 0.9909 0.5648 0.444 0.556
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 2 0.9850 -0.7455 0.428 0.572
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#> 589A94F8-2432-4D6D-94EB-B327ECA291AF 2 0.8713 -0.2528 0.292 0.708
#> 85C10CC2-8B28-4C50-BBD9-95947F4624EF 2 0.1414 0.6297 0.020 0.980
#> 01169BCB-82ED-4492-9FD0-630CCEA70023 2 0.2423 0.6655 0.040 0.960
#> B1A2365C-5491-4E85-AE7E-97B9DB8FF8D1 2 0.1633 0.6566 0.024 0.976
#> 67B2F9CD-759E-4300-8F4B-1B5C4F9E0B1C 2 0.3114 0.6684 0.056 0.944
#> B8AED170-C88C-4A86-8377-93B5D14AB334 2 0.9944 0.5556 0.456 0.544
#> F1D36132-F3C3-47BB-A41F-A10DF40B69D1 2 0.6973 0.2599 0.188 0.812
#> 50DE1FDE-B85E-4677-B0F8-08275DA41A6E 2 0.4161 0.6690 0.084 0.916
#> 5C40F9B6-4A54-4861-9DE5-8852BF4B13E7 2 0.9922 0.5619 0.448 0.552
#> B1E5EF8F-A11D-422A-A3CD-EC70CCC440D5 2 0.0672 0.6428 0.008 0.992
#> 57AA1143-0FA1-4197-8CBE-517F6B885753 2 0.3274 0.6678 0.060 0.940
#> B6C02F90-8F0E-46F5-B82D-240B3A4B44DD 2 0.0376 0.6462 0.004 0.996
#> 387C53ED-A9ED-481F-87D9-87090B690E0E 1 0.9988 0.9579 0.520 0.480
#> 443B751F-4F0B-45A1-BC83-24E446E8E573 2 0.7453 0.1378 0.212 0.788
#> 74897E26-10A5-4484-A867-CE7C86DDB7E2 2 0.0672 0.6428 0.008 0.992
#> 0876D5B1-AA68-4E43-8BBE-9EE2CDC6879E 1 0.9944 0.9911 0.544 0.456
#> D42E39B0-7962-4880-A182-4596DB01B202 2 0.1633 0.6244 0.024 0.976
#> 84778027-9C8E-4364-9069-70D8B86D6916 2 0.0376 0.6511 0.004 0.996
#> C635C019-A66D-42B7-911C-4D0742CAF95A 2 0.8386 0.6473 0.268 0.732
#> 1667B17C-C5E2-4E65-98FF-A6DDE44CC4B6 2 1.0000 -0.9180 0.500 0.500
#> 1C62E679-3A4E-4D10-8BFB-5BFBF2A3B4B6 2 0.7602 0.6556 0.220 0.780
#> 39777F3A-0854-4C8E-9FF4-9A1369C4733D 2 0.1184 0.6573 0.016 0.984
#> AC25E68C-76EA-40E0-912F-29C632BC0996 2 0.9866 0.5712 0.432 0.568
#> 3DA19761-6FF3-4E8C-AA0F-C04CE2CE7037 2 0.4562 0.6694 0.096 0.904
#> 2E401C42-010F-4AFC-A362-B69426418626 2 0.5178 0.6704 0.116 0.884
#> 913D6292-6507-4F86-A120-137CEACE5C9F 2 0.1184 0.6434 0.016 0.984
#> F35F85A8-B3CD-4116-990F-94B2E432F902 2 0.0672 0.6533 0.008 0.992
#> EEE5E45B-D2E3-4CFA-AC5F-8AE1EC2CB61C 2 0.1633 0.6244 0.024 0.976
#> 7B6D13EE-FE13-4BA8-BA65-1A10307A7936 1 0.9954 0.9863 0.540 0.460
#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.0938 0.6556 0.012 0.988
#> A130FABA-F55F-412D-940E-7305057B4D1A 2 0.0000 0.6488 0.000 1.000
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 2 0.8327 -0.1214 0.264 0.736
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 2 0.9686 0.5927 0.396 0.604
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 2 0.9795 0.5812 0.416 0.584
#> E3887082-4C43-426C-8580-ECAA4EFEC577 2 0.9732 -0.6755 0.404 0.596
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 2 0.4939 0.6703 0.108 0.892
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 1 0.9944 0.9911 0.544 0.456
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 2 0.0672 0.6428 0.008 0.992
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 2 0.3274 0.5823 0.060 0.940
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 2 0.6438 0.6664 0.164 0.836
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 2 0.9358 0.6149 0.352 0.648
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 1 0.9970 0.9761 0.532 0.468
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 2 0.9944 0.5556 0.456 0.544
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 2 0.5737 0.6700 0.136 0.864
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 2 0.2043 0.6246 0.032 0.968
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 2 0.9608 0.5992 0.384 0.616
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0000 0.6488 0.000 1.000
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 1 0.9944 0.9911 0.544 0.456
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 1 0.9944 0.9911 0.544 0.456
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.0938 0.6392 0.012 0.988
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 2 0.4690 0.6699 0.100 0.900
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 2 0.9944 0.5556 0.456 0.544
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 2 0.9896 -0.7728 0.440 0.560
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 2 0.7602 0.6556 0.220 0.780
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 2 0.0672 0.6428 0.008 0.992
#> 2F382D6A-B26F-450A-A156-9407D14538CD 2 0.9491 0.6080 0.368 0.632
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 2 0.9754 0.5867 0.408 0.592
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 2 0.9866 0.5713 0.432 0.568
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0376 0.6462 0.004 0.996
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 1 0.9977 0.9706 0.528 0.472
#> 56D3154E-E779-4C27-8305-FEE7310B6762 1 0.9944 0.9911 0.544 0.456
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.2603 0.6654 0.044 0.956
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 1 0.9944 0.9911 0.544 0.456
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 1 0.9944 0.9911 0.544 0.456
#> 3941F338-3165-4CCA-9108-65A110186E6B 2 0.9323 0.6175 0.348 0.652
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 1 0.9993 0.9506 0.516 0.484
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 2 0.9944 0.5556 0.456 0.544
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 2 0.7745 0.6558 0.228 0.772
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.7815 0.6544 0.232 0.768
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 2 0.9775 0.5835 0.412 0.588
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 2 0.9933 0.5591 0.452 0.548
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 2 0.4562 0.6694 0.096 0.904
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 2 0.9922 0.5611 0.448 0.552
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.2236 0.6641 0.036 0.964
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.7528 0.1195 0.216 0.784
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 2 0.8016 0.6506 0.244 0.756
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0376 0.6462 0.004 0.996
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 2 0.9580 0.6012 0.380 0.620
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 1 0.9944 0.9911 0.544 0.456
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 2 0.9944 0.5556 0.456 0.544
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.6488 0.000 1.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0376 0.6511 0.004 0.996
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 1 0.9944 0.9911 0.544 0.456
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.9686 -0.6434 0.396 0.604
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0672 0.6489 0.008 0.992
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.9000 -0.3557 0.316 0.684
#> AE988295-3046-4778-81C5-B787CAC92268 1 0.9944 0.9911 0.544 0.456
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.9977 -0.8535 0.472 0.528
#> B11FF528-846E-4E40-9E32-E5820ECB5504 1 0.9944 0.9911 0.544 0.456
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 2 0.8016 0.6506 0.244 0.756
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 1 0.9944 0.9911 0.544 0.456
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.9933 -0.8076 0.452 0.548
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0938 0.6391 0.012 0.988
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0672 0.6428 0.008 0.992
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 2 0.9661 0.5947 0.392 0.608
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.9552 -0.5784 0.376 0.624
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.4022 0.6687 0.080 0.920
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0672 0.6428 0.008 0.992
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.6488 0.000 1.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.5178 0.6666 0.116 0.884
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 1 0.9944 0.9911 0.544 0.456
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 2 0.9944 0.5556 0.456 0.544
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 2 0.4690 0.6699 0.100 0.900
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 2 0.8386 0.6473 0.268 0.732
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0376 0.6461 0.004 0.996
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.8713 0.6390 0.292 0.708
#> 9BFF7746-9003-4941-9590-0B813E00B326 2 0.9933 0.5590 0.452 0.548
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.1184 0.6495 0.016 0.984
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 2 0.9323 0.6168 0.348 0.652
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0672 0.6428 0.008 0.992
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 2 0.9635 0.5968 0.388 0.612
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.8207 -0.0833 0.256 0.744
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.1184 0.6495 0.016 0.984
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.4431 0.6695 0.092 0.908
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.7453 0.6578 0.212 0.788
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 2 0.9881 0.5702 0.436 0.564
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0376 0.6461 0.004 0.996
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 2 0.9427 0.6108 0.360 0.640
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0672 0.6428 0.008 0.992
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.7528 0.1210 0.216 0.784
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 2 0.9944 0.5556 0.456 0.544
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.7299 0.6580 0.204 0.796
#> 647EE729-B34A-41F0-85AB-207F8C24420B 2 0.9944 0.5556 0.456 0.544
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.6488 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 2 0.9933 0.5591 0.452 0.548
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.7056 0.2192 0.192 0.808
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.9000 -0.3557 0.316 0.684
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.7602 0.6601 0.220 0.780
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0376 0.6462 0.004 0.996
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 2 0.9944 0.5556 0.456 0.544
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 2 0.4690 0.6697 0.100 0.900
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.9000 -0.3557 0.316 0.684
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 2 0.9522 0.6053 0.372 0.628
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.7453 0.1378 0.212 0.788
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0672 0.6428 0.008 0.992
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 2 0.9286 0.6190 0.344 0.656
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0672 0.6428 0.008 0.992
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 1 0.9993 0.9501 0.516 0.484
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.1414 0.6589 0.020 0.980
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 1 0.9944 0.9911 0.544 0.456
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 2 0.8661 0.6411 0.288 0.712
#> 0636DD62-C493-47CC-A120-9759FB6980CD 2 0.9909 0.5647 0.444 0.556
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0376 0.6462 0.004 0.996
#> 15FB165D-6751-4894-A904-C77EA723CFCB 2 0.9044 0.6278 0.320 0.680
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.2043 0.6627 0.032 0.968
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 1 0.9944 0.9911 0.544 0.456
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.7602 0.6587 0.220 0.780
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0672 0.6428 0.008 0.992
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 2 0.9933 0.5590 0.452 0.548
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0672 0.6432 0.008 0.992
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.1843 0.6198 0.028 0.972
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.8555 0.6416 0.280 0.720
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 2 0.8443 0.6460 0.272 0.728
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.2236 0.6641 0.036 0.964
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.6148 0.6664 0.152 0.848
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0672 0.6428 0.008 0.992
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 2 0.9944 0.5556 0.456 0.544
#> E9FC1686-028B-476C-B51B-4956213D874B 2 0.9944 0.5556 0.456 0.544
#> DD203D19-D635-4112-AF75-9724E0A64A0B 2 0.9922 0.5620 0.448 0.552
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0672 0.6533 0.008 0.992
#> B9535625-504A-4FCD-B341-2985AE72508A 2 0.9944 0.5556 0.456 0.544
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 2 0.9944 0.5556 0.456 0.544
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.1184 0.6351 0.016 0.984
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.1414 0.6589 0.020 0.980
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.1414 0.6589 0.020 0.980
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0938 0.6552 0.012 0.988
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.5737 0.4019 0.136 0.864
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0938 0.6391 0.012 0.988
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.1843 0.6613 0.028 0.972
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0672 0.6533 0.008 0.992
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.2423 0.6659 0.040 0.960
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0672 0.6533 0.008 0.992
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.9460 -0.5380 0.364 0.636
#> A280A4AF-0687-40CA-8804-C6173B33E732 2 0.7674 0.6579 0.224 0.776
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.1184 0.6495 0.016 0.984
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 2 0.9933 0.5590 0.452 0.548
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 1 0.9944 0.9911 0.544 0.456
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0376 0.6511 0.004 0.996
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0672 0.6428 0.008 0.992
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.4022 0.6687 0.080 0.920
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0376 0.6511 0.004 0.996
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 1 0.9944 0.9911 0.544 0.456
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
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#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.1170 0.8319 0.016 0.976 0.008
#> A130FABA-F55F-412D-940E-7305057B4D1A 2 0.0661 0.8325 0.004 0.988 0.008
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 3 0.6302 0.2026 0.000 0.480 0.520
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 1 0.6379 0.6108 0.624 0.368 0.008
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 1 0.6102 0.6753 0.672 0.320 0.008
#> E3887082-4C43-426C-8580-ECAA4EFEC577 3 0.5291 0.6829 0.000 0.268 0.732
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 2 0.4261 0.7343 0.140 0.848 0.012
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 3 0.0892 0.8585 0.000 0.020 0.980
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 2 0.0592 0.8321 0.000 0.988 0.012
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 2 0.2261 0.8012 0.000 0.932 0.068
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 2 0.5072 0.6695 0.196 0.792 0.012
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.6680 0.3123 0.508 0.484 0.008
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 3 0.2261 0.8478 0.000 0.068 0.932
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0424 0.7159 0.992 0.008 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 2 0.4453 0.7261 0.152 0.836 0.012
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 2 0.1289 0.8257 0.000 0.968 0.032
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.6713 0.5165 0.572 0.416 0.012
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0661 0.8325 0.004 0.988 0.008
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 3 0.0892 0.8585 0.000 0.020 0.980
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 3 0.0892 0.8585 0.000 0.020 0.980
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.0747 0.8315 0.000 0.984 0.016
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 2 0.4453 0.7234 0.152 0.836 0.012
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0424 0.7159 0.992 0.008 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 3 0.5058 0.7230 0.000 0.244 0.756
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 2 0.5465 0.5432 0.288 0.712 0.000
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 2 0.0592 0.8321 0.000 0.988 0.012
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.6553 0.5192 0.580 0.412 0.008
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.6298 0.5740 0.608 0.388 0.004
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.6129 0.6710 0.668 0.324 0.008
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0829 0.8328 0.004 0.984 0.012
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.2537 0.8438 0.000 0.080 0.920
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0892 0.8585 0.000 0.020 0.980
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.1643 0.8211 0.044 0.956 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0892 0.8585 0.000 0.020 0.980
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0892 0.8585 0.000 0.020 0.980
#> 3941F338-3165-4CCA-9108-65A110186E6B 2 0.6518 -0.1950 0.484 0.512 0.004
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.3038 0.8309 0.000 0.104 0.896
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0424 0.7076 0.992 0.000 0.008
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 2 0.5497 0.5393 0.292 0.708 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.5529 0.5291 0.296 0.704 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.6229 0.6526 0.652 0.340 0.008
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.5156 0.7455 0.776 0.216 0.008
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 2 0.4068 0.7507 0.120 0.864 0.016
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.1832 0.7239 0.956 0.036 0.008
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.1289 0.8248 0.032 0.968 0.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.5397 0.5359 0.000 0.720 0.280
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 2 0.5591 0.5091 0.304 0.696 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0829 0.8328 0.004 0.984 0.012
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.6467 0.5752 0.604 0.388 0.008
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0892 0.8585 0.000 0.020 0.980
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0424 0.7076 0.992 0.000 0.008
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0661 0.8325 0.004 0.988 0.008
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0475 0.8320 0.004 0.992 0.004
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.1163 0.8576 0.000 0.028 0.972
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.5138 0.7092 0.000 0.252 0.748
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.1015 0.8332 0.008 0.980 0.012
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.6154 0.1914 0.000 0.592 0.408
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0892 0.8585 0.000 0.020 0.980
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.4002 0.7956 0.000 0.160 0.840
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.1031 0.8580 0.000 0.024 0.976
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 2 0.5591 0.5091 0.304 0.696 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0892 0.8585 0.000 0.020 0.980
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.3686 0.8024 0.000 0.140 0.860
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.1031 0.8291 0.000 0.976 0.024
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0592 0.8321 0.000 0.988 0.012
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.6379 0.6112 0.624 0.368 0.008
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.5948 0.5428 0.000 0.360 0.640
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.3459 0.7724 0.096 0.892 0.012
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0592 0.8321 0.000 0.988 0.012
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0661 0.8325 0.004 0.988 0.008
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.3618 0.7821 0.104 0.884 0.012
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0892 0.8585 0.000 0.020 0.980
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0424 0.7076 0.992 0.000 0.008
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 2 0.4059 0.7464 0.128 0.860 0.012
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 2 0.6155 0.4091 0.328 0.664 0.008
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0592 0.8327 0.000 0.988 0.012
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.5785 0.4321 0.332 0.668 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0829 0.7168 0.984 0.012 0.004
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.0592 0.8327 0.000 0.988 0.012
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 2 0.6683 -0.2428 0.492 0.500 0.008
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0592 0.8321 0.000 0.988 0.012
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.6451 0.5832 0.608 0.384 0.008
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.5859 0.3885 0.000 0.656 0.344
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.0592 0.8327 0.000 0.988 0.012
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.3771 0.7594 0.112 0.876 0.012
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.5327 0.5757 0.272 0.728 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.6102 0.6709 0.672 0.320 0.008
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0424 0.8323 0.000 0.992 0.008
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.6672 0.3477 0.520 0.472 0.008
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0592 0.8321 0.000 0.988 0.012
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.5968 0.3591 0.000 0.636 0.364
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0424 0.7076 0.992 0.000 0.008
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.5178 0.6019 0.256 0.744 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0424 0.7076 0.992 0.000 0.008
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0661 0.8325 0.004 0.988 0.008
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.5202 0.7436 0.772 0.220 0.008
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.5905 0.3966 0.000 0.648 0.352
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.6154 0.1914 0.000 0.592 0.408
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.5216 0.5994 0.260 0.740 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0829 0.8328 0.004 0.984 0.012
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0424 0.7159 0.992 0.008 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 2 0.3989 0.7480 0.124 0.864 0.012
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.6260 0.0453 0.000 0.552 0.448
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.6297 0.6290 0.640 0.352 0.008
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.5810 0.4224 0.000 0.664 0.336
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0592 0.8321 0.000 0.988 0.012
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 2 0.6669 -0.1518 0.468 0.524 0.008
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0592 0.8321 0.000 0.988 0.012
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.2625 0.8422 0.000 0.084 0.916
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.1129 0.8302 0.020 0.976 0.004
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0892 0.8585 0.000 0.020 0.980
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 2 0.6079 0.2614 0.388 0.612 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.5902 0.6569 0.680 0.316 0.004
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0829 0.8328 0.004 0.984 0.012
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.6398 0.4691 0.580 0.416 0.004
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.1163 0.8262 0.028 0.972 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0892 0.8585 0.000 0.020 0.980
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.4931 0.6371 0.232 0.768 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0592 0.8321 0.000 0.988 0.012
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.2400 0.7427 0.932 0.064 0.004
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0592 0.8325 0.000 0.988 0.012
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.1753 0.8168 0.000 0.952 0.048
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.5591 0.4984 0.304 0.696 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 2 0.6180 0.3980 0.332 0.660 0.008
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.1289 0.8248 0.032 0.968 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.4235 0.7146 0.176 0.824 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0592 0.8321 0.000 0.988 0.012
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0424 0.7076 0.992 0.000 0.008
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0424 0.7076 0.992 0.000 0.008
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.3644 0.7557 0.872 0.124 0.004
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0661 0.8321 0.008 0.988 0.004
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0424 0.7076 0.992 0.000 0.008
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0424 0.7159 0.992 0.008 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.1643 0.8202 0.000 0.956 0.044
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.1129 0.8302 0.020 0.976 0.004
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.1129 0.8302 0.020 0.976 0.004
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0829 0.8317 0.012 0.984 0.004
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.4399 0.6870 0.000 0.812 0.188
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.1031 0.8291 0.000 0.976 0.024
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.1170 0.8266 0.016 0.976 0.008
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0661 0.8321 0.008 0.988 0.004
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.1878 0.8231 0.044 0.952 0.004
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0661 0.8321 0.008 0.988 0.004
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.5905 0.5573 0.000 0.352 0.648
#> A280A4AF-0687-40CA-8804-C6173B33E732 2 0.5325 0.6103 0.248 0.748 0.004
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0592 0.8327 0.000 0.988 0.012
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0829 0.7168 0.984 0.012 0.004
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0892 0.8585 0.000 0.020 0.980
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0475 0.8320 0.004 0.992 0.004
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0592 0.8321 0.000 0.988 0.012
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.3459 0.7724 0.096 0.892 0.012
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1015 0.8335 0.008 0.980 0.012
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0892 0.8585 0.000 0.020 0.980
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.2271 0.76123 0.052 0.928 0.008 0.012
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.7297 0.35990 0.288 0.560 0.012 0.140
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0967 0.78193 0.004 0.976 0.004 0.016
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.1739 0.78192 0.016 0.952 0.008 0.024
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.1706 0.76950 0.000 0.948 0.036 0.016
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.3981 0.75483 0.036 0.860 0.068 0.036
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.7597 0.31976 0.264 0.536 0.012 0.188
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 2 0.7776 0.14408 0.356 0.472 0.016 0.156
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.2597 0.76592 0.040 0.916 0.004 0.040
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.7276 0.36887 0.276 0.568 0.012 0.144
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.7718 0.42869 0.504 0.268 0.008 0.220
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.8248 -0.09798 0.332 0.376 0.012 0.280
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.5794 0.62447 0.144 0.728 0.008 0.120
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.5496 0.24137 0.000 0.604 0.372 0.024
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.1042 0.77992 0.020 0.972 0.000 0.008
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#> 39777F3A-0854-4C8E-9FF4-9A1369C4733D 2 0.1733 0.77964 0.028 0.948 0.000 0.024
#> AC25E68C-76EA-40E0-912F-29C632BC0996 1 0.6270 -0.21582 0.536 0.060 0.000 0.404
#> 3DA19761-6FF3-4E8C-AA0F-C04CE2CE7037 2 0.8185 0.02345 0.312 0.432 0.016 0.240
#> 2E401C42-010F-4AFC-A362-B69426418626 2 0.7999 -0.13626 0.392 0.396 0.012 0.200
#> 913D6292-6507-4F86-A120-137CEACE5C9F 2 0.1394 0.78172 0.008 0.964 0.012 0.016
#> F35F85A8-B3CD-4116-990F-94B2E432F902 2 0.1593 0.77800 0.024 0.956 0.004 0.016
#> EEE5E45B-D2E3-4CFA-AC5F-8AE1EC2CB61C 2 0.1182 0.77628 0.000 0.968 0.016 0.016
#> 7B6D13EE-FE13-4BA8-BA65-1A10307A7936 3 0.1211 0.84644 0.000 0.040 0.960 0.000
#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.1229 0.78060 0.020 0.968 0.004 0.008
#> A130FABA-F55F-412D-940E-7305057B4D1A 2 0.0657 0.78112 0.004 0.984 0.000 0.012
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 3 0.5983 0.23406 0.008 0.460 0.508 0.024
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 1 0.3037 0.49801 0.880 0.100 0.000 0.020
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 1 0.2882 0.46420 0.892 0.084 0.000 0.024
#> E3887082-4C43-426C-8580-ECAA4EFEC577 3 0.5757 0.71376 0.032 0.196 0.728 0.044
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 2 0.8150 -0.03340 0.328 0.412 0.012 0.248
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 2 0.0657 0.77916 0.000 0.984 0.004 0.012
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 2 0.3105 0.75742 0.012 0.896 0.060 0.032
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 1 0.8232 0.19448 0.372 0.348 0.012 0.268
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.5096 0.50648 0.760 0.156 0.000 0.084
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 3 0.1940 0.83873 0.000 0.076 0.924 0.000
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.4985 -0.80380 0.532 0.000 0.000 0.468
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 2 0.7922 0.11035 0.320 0.464 0.012 0.204
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 2 0.1843 0.77808 0.008 0.948 0.028 0.016
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.5000 0.49818 0.772 0.128 0.000 0.100
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0804 0.78075 0.008 0.980 0.000 0.012
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.1443 0.78091 0.004 0.960 0.008 0.028
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 2 0.8126 -0.03577 0.332 0.416 0.012 0.240
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.4999 -0.84315 0.508 0.000 0.000 0.492
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 3 0.4420 0.72320 0.000 0.240 0.748 0.012
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 2 0.7236 0.37551 0.284 0.568 0.012 0.136
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 2 0.0657 0.77916 0.000 0.984 0.004 0.012
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.4139 0.50819 0.816 0.144 0.000 0.040
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.4549 0.48970 0.804 0.096 0.000 0.100
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.2882 0.46295 0.892 0.084 0.000 0.024
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0712 0.78036 0.008 0.984 0.004 0.004
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.2149 0.83488 0.000 0.088 0.912 0.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.3160 0.75457 0.060 0.892 0.008 0.040
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.6304 0.49520 0.684 0.164 0.008 0.144
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.2654 0.82518 0.000 0.108 0.888 0.004
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 4 0.4967 0.92866 0.452 0.000 0.000 0.548
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 2 0.7407 0.32281 0.304 0.540 0.012 0.144
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.7541 0.27525 0.320 0.516 0.012 0.152
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.2401 0.48363 0.904 0.092 0.000 0.004
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.5546 0.07472 0.680 0.052 0.000 0.268
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 2 0.8168 0.03269 0.312 0.436 0.016 0.236
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 4 0.5137 0.83478 0.452 0.004 0.000 0.544
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.2742 0.76389 0.040 0.912 0.008 0.040
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.4955 0.48866 0.000 0.708 0.268 0.024
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 2 0.7393 0.33169 0.292 0.548 0.012 0.148
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0712 0.78036 0.008 0.984 0.004 0.004
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.3485 0.50528 0.856 0.116 0.000 0.028
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 4 0.4972 0.92534 0.456 0.000 0.000 0.544
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.1510 0.77864 0.016 0.956 0.000 0.028
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.1297 0.77933 0.016 0.964 0.000 0.020
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.1022 0.84765 0.000 0.032 0.968 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.4391 0.70499 0.000 0.252 0.740 0.008
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0992 0.78165 0.012 0.976 0.004 0.008
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.5571 0.16598 0.000 0.580 0.396 0.024
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.3545 0.78433 0.000 0.164 0.828 0.008
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0921 0.84780 0.000 0.028 0.972 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 2 0.7393 0.33169 0.292 0.548 0.012 0.148
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.3763 0.80505 0.012 0.104 0.856 0.028
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.1059 0.77885 0.000 0.972 0.016 0.012
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0657 0.77916 0.000 0.984 0.004 0.012
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.2987 0.49868 0.880 0.104 0.000 0.016
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.5237 0.53680 0.000 0.356 0.628 0.016
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.7232 0.36468 0.236 0.588 0.012 0.164
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0657 0.77916 0.000 0.984 0.004 0.012
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0804 0.78034 0.008 0.980 0.000 0.012
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.4457 0.72159 0.092 0.828 0.016 0.064
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.4998 -0.79042 0.512 0.000 0.000 0.488
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 2 0.8020 0.07781 0.308 0.452 0.012 0.228
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.7226 0.44459 0.548 0.232 0.000 0.220
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.1892 0.77774 0.016 0.944 0.004 0.036
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.8016 -0.05944 0.380 0.404 0.012 0.204
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.5151 -0.80533 0.532 0.004 0.000 0.464
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.1526 0.77792 0.012 0.960 0.012 0.016
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.6016 0.47843 0.680 0.208 0.000 0.112
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0657 0.77916 0.000 0.984 0.004 0.012
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.3367 0.50313 0.864 0.108 0.000 0.028
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.5233 0.35573 0.000 0.648 0.332 0.020
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.2297 0.77033 0.024 0.932 0.012 0.032
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.7675 0.23831 0.268 0.524 0.012 0.196
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.7216 0.38581 0.280 0.572 0.012 0.136
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.2329 0.45722 0.916 0.072 0.000 0.012
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0927 0.78102 0.008 0.976 0.000 0.016
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.5993 0.48317 0.692 0.148 0.000 0.160
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0657 0.77916 0.000 0.984 0.004 0.012
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.5420 0.31273 0.000 0.624 0.352 0.024
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 4 0.4961 0.92776 0.448 0.000 0.000 0.552
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.6720 0.48819 0.236 0.636 0.012 0.116
#> 647EE729-B34A-41F0-85AB-207F8C24420B 4 0.4961 0.92776 0.448 0.000 0.000 0.552
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0672 0.78061 0.008 0.984 0.000 0.008
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.5434 0.12665 0.696 0.052 0.000 0.252
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.5941 0.34671 0.008 0.616 0.340 0.036
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.5571 0.16598 0.000 0.580 0.396 0.024
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.7809 0.20813 0.316 0.484 0.012 0.188
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0859 0.78095 0.008 0.980 0.004 0.008
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.4989 -0.80889 0.528 0.000 0.000 0.472
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 2 0.8078 0.02482 0.316 0.436 0.012 0.236
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.5657 0.01864 0.000 0.540 0.436 0.024
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.5436 0.43398 0.732 0.092 0.000 0.176
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.5291 0.38402 0.000 0.652 0.324 0.024
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0657 0.77916 0.000 0.984 0.004 0.012
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.5906 0.49420 0.700 0.148 0.000 0.152
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0657 0.77916 0.000 0.984 0.004 0.012
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.2149 0.83545 0.000 0.088 0.912 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.2411 0.76761 0.040 0.920 0.000 0.040
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.7714 0.42295 0.524 0.240 0.012 0.224
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.6966 0.21579 0.540 0.132 0.000 0.328
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0859 0.78095 0.008 0.980 0.004 0.008
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.7889 0.25786 0.460 0.224 0.008 0.308
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.2558 0.76700 0.036 0.920 0.008 0.036
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.7606 0.32736 0.260 0.536 0.012 0.192
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0657 0.77916 0.000 0.984 0.004 0.012
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.5099 -0.56992 0.612 0.008 0.000 0.380
#> C543A527-3E25-4389-9722-E9325C733243 2 0.1911 0.77713 0.020 0.944 0.004 0.032
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.1545 0.77194 0.000 0.952 0.040 0.008
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.8103 0.07382 0.312 0.432 0.012 0.244
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.7200 0.44597 0.552 0.228 0.000 0.220
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.2742 0.76389 0.040 0.912 0.008 0.040
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.5495 0.63855 0.152 0.752 0.012 0.084
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0657 0.77916 0.000 0.984 0.004 0.012
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 4 0.4961 0.93012 0.448 0.000 0.000 0.552
#> E9FC1686-028B-476C-B51B-4956213D874B 4 0.4961 0.92776 0.448 0.000 0.000 0.552
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.5543 -0.27880 0.660 0.032 0.004 0.304
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.1796 0.77612 0.032 0.948 0.004 0.016
#> B9535625-504A-4FCD-B341-2985AE72508A 4 0.4961 0.92169 0.448 0.000 0.000 0.552
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.4989 -0.80889 0.528 0.000 0.000 0.472
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.2284 0.77580 0.012 0.932 0.036 0.020
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.2411 0.76761 0.040 0.920 0.000 0.040
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.2411 0.76761 0.040 0.920 0.000 0.040
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.1697 0.77835 0.028 0.952 0.004 0.016
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.4035 0.63116 0.000 0.804 0.176 0.020
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.1059 0.77885 0.000 0.972 0.016 0.012
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.2271 0.76123 0.052 0.928 0.008 0.012
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.1796 0.77612 0.032 0.948 0.004 0.016
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.4016 0.72853 0.080 0.844 0.004 0.072
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.1796 0.77612 0.032 0.948 0.004 0.016
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.5093 0.54650 0.000 0.348 0.640 0.012
#> A280A4AF-0687-40CA-8804-C6173B33E732 2 0.8158 0.05798 0.304 0.420 0.012 0.264
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.2197 0.77186 0.024 0.936 0.012 0.028
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.5151 -0.80533 0.532 0.004 0.000 0.464
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0817 0.84806 0.000 0.024 0.976 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.1297 0.77933 0.016 0.964 0.000 0.020
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0657 0.77916 0.000 0.984 0.004 0.012
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.7232 0.36468 0.236 0.588 0.012 0.164
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1362 0.78045 0.020 0.964 0.004 0.012
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0817 0.84806 0.000 0.024 0.976 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.3194 0.72884 0.000 0.832 0.000 0.020 0.148
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.6972 -0.08593 0.124 0.456 0.000 0.376 0.044
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0963 0.82470 0.000 0.964 0.000 0.036 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.1484 0.82464 0.000 0.944 0.008 0.048 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.1485 0.80682 0.000 0.948 0.020 0.032 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.3773 0.77254 0.000 0.824 0.060 0.108 0.008
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 4 0.5330 0.42727 0.040 0.352 0.000 0.596 0.012
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 2 0.8086 -0.35774 0.096 0.356 0.000 0.260 0.288
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.83331 0.000 0.000 1.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.2377 0.79201 0.000 0.872 0.000 0.128 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.6459 -0.04277 0.108 0.472 0.000 0.400 0.020
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 4 0.5813 0.09711 0.020 0.048 0.000 0.472 0.460
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 4 0.3570 0.61840 0.044 0.124 0.000 0.828 0.004
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.4530 0.41908 0.008 0.612 0.000 0.376 0.004
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.5526 0.28987 0.000 0.596 0.336 0.056 0.012
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.1485 0.82242 0.000 0.948 0.000 0.032 0.020
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.2504 0.79832 0.000 0.896 0.040 0.064 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0510 0.66149 0.984 0.000 0.000 0.016 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.3707 0.62255 0.000 0.716 0.000 0.284 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.3516 0.61229 0.812 0.020 0.000 0.164 0.004
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.1341 0.82081 0.000 0.944 0.000 0.056 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.83331 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0609 0.66862 0.980 0.000 0.000 0.020 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 4 0.6338 0.26091 0.352 0.072 0.000 0.536 0.040
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.5259 0.59136 0.000 0.276 0.656 0.056 0.012
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.1430 0.82159 0.000 0.944 0.000 0.052 0.004
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.5526 0.49801 0.000 0.336 0.596 0.056 0.012
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.1041 0.67192 0.964 0.000 0.000 0.032 0.004
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0510 0.82020 0.000 0.984 0.000 0.016 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.2230 0.44794 0.000 0.116 0.000 0.000 0.884
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.2046 0.68777 0.916 0.000 0.000 0.068 0.016
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 4 0.3326 0.62280 0.016 0.140 0.004 0.836 0.004
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.6504 0.37660 0.512 0.016 0.000 0.136 0.336
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.5588 0.18428 0.000 0.560 0.376 0.052 0.012
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.4411 0.66259 0.764 0.000 0.000 0.120 0.116
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0404 0.81996 0.000 0.988 0.000 0.012 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.2674 0.77949 0.000 0.856 0.000 0.140 0.004
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.4945 0.37812 0.048 0.092 0.000 0.096 0.764
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.1671 0.81617 0.000 0.924 0.000 0.076 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0404 0.81996 0.000 0.988 0.000 0.012 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.5129 0.60831 0.000 0.264 0.672 0.052 0.012
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.5187 0.04620 0.000 0.484 0.016 0.016 0.484
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.4313 0.25221 0.000 0.356 0.000 0.008 0.636
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.1628 0.44898 0.000 0.056 0.000 0.008 0.936
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 4 0.3213 0.62413 0.016 0.144 0.000 0.836 0.004
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.4693 0.65598 0.000 0.756 0.148 0.084 0.012
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.4313 0.25221 0.000 0.356 0.000 0.008 0.636
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.2068 0.81238 0.000 0.904 0.004 0.092 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.2171 0.68960 0.912 0.000 0.000 0.064 0.024
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.4823 0.65983 0.744 0.008 0.000 0.128 0.120
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 4 0.4539 0.60127 0.016 0.200 0.008 0.752 0.024
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0404 0.81996 0.000 0.988 0.000 0.012 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0404 0.81996 0.000 0.988 0.000 0.012 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0404 0.81996 0.000 0.988 0.000 0.012 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.5379 0.40249 0.000 0.632 0.300 0.056 0.012
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.1121 0.82279 0.000 0.956 0.000 0.044 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0404 0.81996 0.000 0.988 0.000 0.012 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.2426 0.81492 0.000 0.900 0.036 0.064 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.6686 0.33282 0.484 0.020 0.000 0.144 0.352
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 4 0.5939 0.60938 0.076 0.132 0.000 0.688 0.104
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0404 0.81996 0.000 0.988 0.000 0.012 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.2006 0.79246 0.000 0.916 0.000 0.012 0.072
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0771 0.82222 0.000 0.976 0.000 0.020 0.004
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.2491 0.81376 0.000 0.896 0.036 0.068 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.1121 0.82381 0.000 0.956 0.000 0.044 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.1764 0.82349 0.000 0.928 0.008 0.064 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0404 0.81996 0.000 0.988 0.000 0.012 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.2020 0.80732 0.000 0.900 0.000 0.100 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.3012 0.77289 0.000 0.036 0.860 0.104 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.6669 0.34917 0.492 0.020 0.000 0.144 0.344
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.1557 0.44648 0.000 0.052 0.000 0.008 0.940
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0290 0.82058 0.000 0.992 0.000 0.008 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0703 0.66871 0.976 0.000 0.000 0.024 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.2964 0.78345 0.000 0.840 0.004 0.152 0.004
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.6884 0.17403 0.376 0.004 0.000 0.260 0.360
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.3710 0.66141 0.000 0.784 0.192 0.024 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0609 0.67009 0.980 0.000 0.000 0.020 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.1851 0.81164 0.000 0.912 0.000 0.088 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.1082 0.82225 0.000 0.964 0.000 0.028 0.008
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 2 0.8016 -0.28177 0.096 0.388 0.000 0.276 0.240
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.4860 0.55992 0.000 0.708 0.232 0.048 0.012
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 5 0.7019 -0.10428 0.340 0.008 0.000 0.280 0.372
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.0000 0.83331 0.000 0.000 1.000 0.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0771 0.82222 0.000 0.976 0.000 0.020 0.004
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.4804 0.56725 0.000 0.716 0.224 0.048 0.012
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.1043 0.82336 0.000 0.960 0.000 0.040 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.83331 0.000 0.000 1.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.3318 0.40039 0.000 0.192 0.000 0.008 0.800
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.1732 0.81520 0.000 0.920 0.000 0.080 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.1792 0.81379 0.000 0.916 0.000 0.084 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.1121 0.82279 0.000 0.956 0.000 0.044 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.6902 -0.04179 0.124 0.468 0.000 0.368 0.040
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.1124 0.82442 0.000 0.960 0.000 0.036 0.004
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.5709 0.30772 0.000 0.408 0.524 0.056 0.012
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.2130 0.45501 0.000 0.080 0.000 0.012 0.908
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.5570 0.30194 0.000 0.596 0.332 0.060 0.012
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.4341 0.24428 0.000 0.364 0.000 0.008 0.628
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.6783 0.07647 0.108 0.500 0.000 0.348 0.044
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.3861 0.68159 0.816 0.004 0.000 0.088 0.092
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.1410 0.82014 0.000 0.940 0.000 0.060 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 4 0.5812 0.10505 0.020 0.048 0.000 0.476 0.456
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.4884 0.63804 0.720 0.000 0.000 0.128 0.152
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.3491 0.62575 0.768 0.000 0.000 0.228 0.004
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.2011 0.81418 0.000 0.908 0.004 0.088 0.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.4250 0.74716 0.000 0.792 0.020 0.140 0.048
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.2329 0.79452 0.000 0.876 0.000 0.124 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.1965 0.80860 0.000 0.904 0.000 0.096 0.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.5304 0.55616 0.000 0.664 0.252 0.076 0.008
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.5497 0.51505 0.000 0.328 0.604 0.056 0.012
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.4219 0.65917 0.772 0.000 0.000 0.156 0.072
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 5 0.6535 0.22499 0.248 0.028 0.000 0.152 0.572
#> 37A8E941-F86F-449A-86E4-833AC349111F 2 0.1399 0.80941 0.000 0.952 0.028 0.020 0.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.4771 0.64924 0.000 0.224 0.712 0.060 0.004
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0510 0.66149 0.984 0.000 0.000 0.016 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.6729 0.31510 0.456 0.004 0.000 0.236 0.304
#> 33233781-A799-4610-86FC-C836713D31AA 5 0.7124 0.02378 0.312 0.024 0.000 0.220 0.444
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.2329 0.79392 0.000 0.876 0.000 0.124 0.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.83331 0.000 0.000 1.000 0.000 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.83331 0.000 0.000 1.000 0.000 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 2 0.0404 0.81996 0.000 0.988 0.000 0.012 0.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 2 0.6939 -0.07289 0.120 0.460 0.000 0.376 0.044
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 4 0.5417 0.61812 0.048 0.132 0.000 0.724 0.096
#> ED604501-C110-4693-820B-DE9FB648FEAA 4 0.7632 -0.03947 0.288 0.044 0.000 0.340 0.328
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.2331 0.81143 0.000 0.900 0.000 0.080 0.020
#> 113340B4-B092-4B8C-8A13-5932525B0C33 5 0.1768 0.45658 0.004 0.072 0.000 0.000 0.924
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 2 0.5088 0.47149 0.000 0.664 0.280 0.044 0.012
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.1732 0.81588 0.000 0.920 0.000 0.080 0.000
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 2 0.5573 0.14104 0.000 0.548 0.388 0.056 0.008
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.5941 0.53980 0.612 0.004 0.000 0.188 0.196
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.6853 0.22123 0.400 0.004 0.000 0.252 0.344
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.6029 0.50335 0.596 0.004 0.000 0.172 0.228
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 3 0.5339 0.57519 0.000 0.260 0.652 0.084 0.004
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.2046 0.68777 0.916 0.000 0.000 0.068 0.016
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.3611 0.70804 0.008 0.780 0.000 0.208 0.004
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 2 0.0404 0.81996 0.000 0.988 0.000 0.012 0.000
#> A0A24949-483B-4250-B11E-2BCE49F302AC 2 0.5191 0.37367 0.000 0.624 0.324 0.044 0.008
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.6504 0.37660 0.512 0.016 0.000 0.136 0.336
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 2 0.4646 0.60414 0.000 0.732 0.212 0.044 0.012
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 2 0.6242 0.46790 0.000 0.592 0.204 0.192 0.012
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 2 0.5682 0.41919 0.072 0.616 0.000 0.296 0.016
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.6871 0.19551 0.388 0.004 0.000 0.256 0.352
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 2 0.4419 0.49063 0.008 0.644 0.000 0.344 0.004
#> 7604968C-689A-458D-96BA-33B163B238F8 2 0.2890 0.76487 0.000 0.836 0.000 0.160 0.004
#> 2E040577-EA0C-4876-9F43-A180DA38F733 1 0.6892 0.17398 0.376 0.004 0.000 0.264 0.356
#> 9C30E1C0-1ADE-460B-B53D-297CCA80C071 2 0.5636 0.19012 0.000 0.560 0.372 0.056 0.012
#> 4FE5EDE2-7790-4A75-9BB6-93260A8154A0 2 0.0703 0.82232 0.000 0.976 0.000 0.024 0.000
#> A4821960-9921-4B07-98CE-C4FDCA15146D 1 0.6786 0.26834 0.428 0.004 0.000 0.236 0.332
#> 8DA59514-8B25-493E-B226-818F2521B5D5 1 0.2300 0.68825 0.904 0.000 0.000 0.072 0.024
#> C9EE359E-2F42-4D20-880D-FBF8B4953731 5 0.6787 -0.13248 0.392 0.024 0.000 0.140 0.444
#> F90967A5-96C6-4669-BCFB-0C51F539B0E7 2 0.3773 0.77254 0.000 0.824 0.060 0.108 0.008
#> 2482156E-29A8-4B6B-91BD-219EAC9229B5 2 0.0404 0.81996 0.000 0.988 0.000 0.012 0.000
#> 4EA4A8AE-581A-4170-8062-99645CB41337 5 0.7019 -0.10714 0.340 0.008 0.000 0.280 0.372
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#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.6556 0.33291 0.512 0.036 0.000 0.356 0.096
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0955 0.82307 0.000 0.968 0.000 0.028 0.004
#> 15FB165D-6751-4894-A904-C77EA723CFCB 4 0.6338 0.26091 0.352 0.072 0.000 0.536 0.040
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.2329 0.79392 0.000 0.876 0.000 0.124 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.83331 0.000 0.000 1.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 4 0.4325 0.48639 0.004 0.300 0.000 0.684 0.012
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0162 0.82123 0.000 0.996 0.000 0.004 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.4291 0.67687 0.772 0.000 0.000 0.136 0.092
#> C543A527-3E25-4389-9722-E9325C733243 2 0.2124 0.80927 0.000 0.900 0.004 0.096 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.1124 0.81202 0.000 0.960 0.036 0.004 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 4 0.3399 0.61291 0.012 0.172 0.000 0.812 0.004
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.5668 0.11486 0.036 0.028 0.000 0.376 0.560
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.2424 0.78917 0.000 0.868 0.000 0.132 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.5064 0.55686 0.048 0.688 0.000 0.248 0.016
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0404 0.81996 0.000 0.988 0.000 0.012 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0703 0.66927 0.976 0.000 0.000 0.024 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0510 0.66149 0.984 0.000 0.000 0.016 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.5203 0.62827 0.708 0.008 0.000 0.140 0.144
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.1908 0.81023 0.000 0.908 0.000 0.092 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0880 0.67087 0.968 0.000 0.000 0.032 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.2110 0.68736 0.912 0.000 0.000 0.072 0.016
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.2426 0.81492 0.000 0.900 0.036 0.064 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.2329 0.79452 0.000 0.876 0.000 0.124 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.2329 0.79452 0.000 0.876 0.000 0.124 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.2011 0.81337 0.000 0.908 0.000 0.088 0.004
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.4250 0.67393 0.000 0.784 0.152 0.052 0.012
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.1012 0.82255 0.000 0.968 0.012 0.020 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.3194 0.72884 0.000 0.832 0.000 0.020 0.148
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.1851 0.81195 0.000 0.912 0.000 0.088 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.3424 0.68598 0.000 0.760 0.000 0.240 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.1851 0.81195 0.000 0.912 0.000 0.088 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.5186 0.53247 0.000 0.320 0.624 0.052 0.004
#> A280A4AF-0687-40CA-8804-C6173B33E732 4 0.5958 0.45248 0.008 0.144 0.000 0.612 0.236
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.2006 0.79246 0.000 0.916 0.000 0.012 0.072
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.2171 0.68960 0.912 0.000 0.000 0.064 0.024
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.83331 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.1478 0.81931 0.000 0.936 0.000 0.064 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0404 0.81996 0.000 0.988 0.000 0.012 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.4313 0.25221 0.000 0.356 0.000 0.008 0.636
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1571 0.82023 0.000 0.936 0.004 0.060 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.83331 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.3608 0.71720 0.040 0.808 0.000 0.000 0.132 0.020
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.6939 -0.09962 0.236 0.412 0.000 0.044 0.008 0.300
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.1226 0.81334 0.004 0.952 0.000 0.004 0.000 0.040
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.1655 0.81321 0.008 0.932 0.008 0.000 0.000 0.052
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.1879 0.79251 0.000 0.932 0.016 0.008 0.016 0.028
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.4293 0.75799 0.024 0.796 0.048 0.008 0.020 0.104
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.6373 0.47033 0.200 0.276 0.000 0.020 0.008 0.496
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 2 0.7995 -0.31930 0.304 0.320 0.000 0.028 0.152 0.196
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0146 0.82137 0.000 0.000 0.996 0.000 0.000 0.004
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.2933 0.77645 0.016 0.848 0.000 0.008 0.004 0.124
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.6755 -0.02494 0.212 0.440 0.000 0.036 0.008 0.304
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.6335 0.09263 0.544 0.016 0.000 0.024 0.176 0.240
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 6 0.4661 0.68008 0.192 0.048 0.000 0.028 0.008 0.724
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.5578 0.33908 0.100 0.552 0.000 0.012 0.004 0.332
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.5683 0.29410 0.000 0.584 0.312 0.016 0.048 0.040
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.1642 0.81137 0.004 0.936 0.000 0.000 0.028 0.032
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.3240 0.78401 0.004 0.864 0.028 0.012 0.032 0.060
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 4 0.3733 0.82580 0.288 0.000 0.000 0.700 0.004 0.008
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.4676 0.57546 0.060 0.664 0.000 0.004 0.004 0.268
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 4 0.6171 0.70731 0.288 0.012 0.000 0.548 0.032 0.120
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.1542 0.80894 0.008 0.936 0.000 0.000 0.004 0.052
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.82240 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 4 0.3626 0.83135 0.288 0.000 0.000 0.704 0.004 0.004
#> B7A23896-4182-48D3-A1D9-92C781BF283F 6 0.6431 0.27491 0.360 0.020 0.000 0.176 0.008 0.436
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.5482 0.56752 0.000 0.264 0.632 0.016 0.048 0.040
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.1542 0.80965 0.004 0.936 0.000 0.000 0.008 0.052
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.5723 0.48729 0.000 0.324 0.572 0.016 0.048 0.040
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 4 0.4395 0.81718 0.280 0.000 0.000 0.676 0.016 0.028
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0881 0.80619 0.000 0.972 0.000 0.008 0.008 0.012
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.4348 0.73596 0.268 0.056 0.000 0.000 0.676 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 4 0.3872 0.77538 0.392 0.000 0.000 0.604 0.004 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 6 0.4708 0.69546 0.184 0.064 0.004 0.020 0.004 0.724
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.6021 0.24424 0.520 0.000 0.000 0.312 0.140 0.028
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.5803 0.17729 0.000 0.544 0.352 0.016 0.044 0.044
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.3950 -0.39443 0.564 0.000 0.000 0.432 0.004 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0862 0.80524 0.000 0.972 0.000 0.004 0.008 0.016
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.3113 0.76174 0.020 0.828 0.000 0.004 0.004 0.144
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.6440 0.56133 0.368 0.040 0.000 0.048 0.488 0.056
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.1901 0.80398 0.008 0.912 0.000 0.000 0.004 0.076
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0862 0.80524 0.000 0.972 0.000 0.004 0.008 0.016
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.5358 0.58464 0.000 0.252 0.648 0.016 0.048 0.036
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.6596 -0.31873 0.144 0.428 0.012 0.012 0.388 0.016
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.6064 0.54493 0.192 0.300 0.000 0.004 0.496 0.008
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.4138 0.66751 0.320 0.000 0.000 0.020 0.656 0.004
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 6 0.4570 0.69608 0.184 0.064 0.000 0.020 0.004 0.728
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.5250 0.64832 0.004 0.728 0.124 0.028 0.048 0.068
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.6064 0.54493 0.192 0.300 0.000 0.004 0.496 0.008
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.2256 0.80240 0.004 0.892 0.004 0.008 0.000 0.092
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 4 0.4265 0.78838 0.384 0.000 0.000 0.596 0.004 0.016
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.4351 -0.34223 0.564 0.000 0.000 0.416 0.008 0.012
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 6 0.5270 0.68039 0.256 0.108 0.008 0.004 0.000 0.624
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0862 0.80524 0.000 0.972 0.000 0.004 0.008 0.016
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0862 0.80524 0.000 0.972 0.000 0.004 0.008 0.016
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0767 0.80573 0.000 0.976 0.000 0.004 0.008 0.012
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.5556 0.38981 0.000 0.616 0.280 0.016 0.048 0.040
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.1333 0.81003 0.000 0.944 0.000 0.000 0.008 0.048
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0767 0.80573 0.000 0.976 0.000 0.004 0.008 0.012
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.2492 0.80442 0.000 0.888 0.036 0.008 0.000 0.068
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.5974 0.30214 0.540 0.000 0.000 0.288 0.144 0.028
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 6 0.5509 0.58448 0.380 0.056 0.000 0.028 0.004 0.532
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0862 0.80524 0.000 0.972 0.000 0.004 0.008 0.016
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.2384 0.78259 0.032 0.900 0.000 0.004 0.056 0.008
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0820 0.80984 0.000 0.972 0.000 0.000 0.012 0.016
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.2635 0.80336 0.000 0.884 0.036 0.008 0.004 0.068
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.1410 0.81167 0.004 0.944 0.000 0.008 0.000 0.044
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.2068 0.81243 0.004 0.916 0.008 0.008 0.004 0.060
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0862 0.80524 0.000 0.972 0.000 0.004 0.008 0.016
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.2356 0.79571 0.004 0.884 0.000 0.008 0.004 0.100
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.3463 0.75134 0.020 0.016 0.848 0.008 0.024 0.084
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.6017 0.28247 0.532 0.000 0.000 0.292 0.148 0.028
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.4211 0.66872 0.312 0.000 0.000 0.020 0.660 0.008
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0748 0.80722 0.000 0.976 0.000 0.004 0.004 0.016
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 4 0.4267 0.81848 0.272 0.000 0.000 0.688 0.012 0.028
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.3564 0.76575 0.024 0.812 0.000 0.008 0.016 0.140
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.1082 0.62315 0.956 0.000 0.000 0.040 0.004 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.3973 0.65073 0.000 0.768 0.180 0.004 0.028 0.020
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 4 0.4288 0.81959 0.276 0.000 0.000 0.684 0.012 0.028
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.2009 0.80092 0.004 0.904 0.000 0.008 0.000 0.084
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.1148 0.81030 0.000 0.960 0.000 0.004 0.016 0.020
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 2 0.7885 -0.25062 0.284 0.352 0.000 0.028 0.124 0.212
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.5025 0.54837 0.000 0.692 0.216 0.016 0.040 0.036
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0881 0.63645 0.972 0.000 0.000 0.008 0.008 0.012
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.0000 0.82240 0.000 0.000 1.000 0.000 0.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0820 0.80984 0.000 0.972 0.000 0.000 0.012 0.016
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.5045 0.56272 0.000 0.700 0.200 0.016 0.044 0.040
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.1265 0.81080 0.000 0.948 0.000 0.000 0.008 0.044
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.82240 0.000 0.000 1.000 0.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.5329 0.72119 0.232 0.140 0.000 0.004 0.620 0.004
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.1866 0.80444 0.000 0.908 0.000 0.008 0.000 0.084
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.1949 0.80171 0.000 0.904 0.000 0.004 0.004 0.088
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.1265 0.81031 0.000 0.948 0.000 0.000 0.008 0.044
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.6911 -0.05634 0.232 0.424 0.000 0.044 0.008 0.292
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.1226 0.81324 0.004 0.952 0.000 0.000 0.004 0.040
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.5952 0.30326 0.000 0.392 0.500 0.020 0.048 0.040
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.4444 0.72002 0.300 0.028 0.000 0.004 0.660 0.008
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.5782 0.28947 0.000 0.580 0.308 0.016 0.052 0.044
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.6086 0.53179 0.192 0.308 0.000 0.004 0.488 0.008
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.6775 0.06174 0.220 0.456 0.000 0.040 0.008 0.276
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.4537 -0.58854 0.488 0.000 0.000 0.484 0.004 0.024
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.1555 0.80842 0.004 0.932 0.000 0.000 0.004 0.060
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 1 0.6328 0.08719 0.544 0.016 0.000 0.024 0.172 0.244
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.3862 -0.20461 0.608 0.000 0.000 0.388 0.004 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 4 0.6050 0.65458 0.316 0.000 0.000 0.508 0.024 0.152
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#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 2 0.6854 -0.14680 0.232 0.404 0.000 0.036 0.008 0.320
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0820 0.80984 0.000 0.972 0.000 0.000 0.012 0.016
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.1426 0.63844 0.948 0.000 0.000 0.008 0.016 0.028
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.82240 0.000 0.000 1.000 0.000 0.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 4 0.4308 0.82217 0.280 0.000 0.000 0.680 0.012 0.028
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.1949 0.80171 0.000 0.904 0.000 0.004 0.004 0.088
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.1615 0.80771 0.004 0.928 0.000 0.000 0.004 0.064
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0363 0.82046 0.000 0.012 0.988 0.000 0.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.4897 0.62661 0.000 0.212 0.700 0.012 0.048 0.028
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.1036 0.81202 0.004 0.964 0.000 0.000 0.008 0.024
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.5870 0.20964 0.000 0.552 0.336 0.016 0.052 0.044
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.82240 0.000 0.000 1.000 0.000 0.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.4129 0.72169 0.000 0.120 0.792 0.012 0.044 0.032
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0291 0.82132 0.000 0.004 0.992 0.000 0.000 0.004
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 2 0.6854 -0.14680 0.232 0.404 0.000 0.036 0.008 0.320
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.82240 0.000 0.000 1.000 0.000 0.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.3463 0.75134 0.020 0.016 0.848 0.008 0.024 0.084
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.1363 0.81230 0.000 0.952 0.012 0.004 0.004 0.028
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0862 0.80524 0.000 0.972 0.000 0.004 0.008 0.016
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0976 0.63616 0.968 0.000 0.000 0.008 0.008 0.016
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.5696 0.50026 0.000 0.316 0.580 0.016 0.048 0.040
#> D902E43A-F384-432A-B690-D20BFCC78443 5 0.6064 0.54493 0.192 0.300 0.000 0.004 0.496 0.008
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0862 0.80524 0.000 0.972 0.000 0.004 0.008 0.016
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.1265 0.81031 0.000 0.948 0.000 0.000 0.008 0.044
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.4631 0.69546 0.064 0.748 0.004 0.024 0.008 0.152
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.82240 0.000 0.000 1.000 0.000 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 4 0.5530 0.73595 0.328 0.000 0.000 0.564 0.028 0.080
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.4873 0.73904 0.276 0.064 0.000 0.008 0.648 0.004
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.5638 0.14935 0.616 0.004 0.000 0.024 0.228 0.128
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.2256 0.79991 0.004 0.892 0.004 0.008 0.000 0.092
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 6 0.5365 0.66572 0.316 0.084 0.000 0.012 0.004 0.584
#> 9BFF7746-9003-4941-9590-0B813E00B326 4 0.4265 0.78838 0.384 0.000 0.000 0.596 0.004 0.016
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.1621 0.80344 0.016 0.944 0.000 0.008 0.020 0.012
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.4751 0.39762 0.712 0.012 0.000 0.036 0.032 0.208
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0862 0.80524 0.000 0.972 0.000 0.004 0.008 0.016
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.1483 0.63774 0.944 0.000 0.000 0.012 0.008 0.036
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.5595 0.38573 0.000 0.616 0.276 0.016 0.052 0.040
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.2755 0.77506 0.032 0.880 0.000 0.004 0.068 0.016
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.5345 0.68149 0.220 0.188 0.000 0.000 0.592 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.6802 0.03123 0.224 0.448 0.000 0.040 0.008 0.280
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.1141 0.61412 0.948 0.000 0.000 0.052 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.1296 0.81201 0.004 0.948 0.000 0.004 0.000 0.044
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.4809 0.48198 0.692 0.000 0.000 0.080 0.208 0.020
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0862 0.80524 0.000 0.972 0.000 0.004 0.008 0.016
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.5540 0.35599 0.000 0.600 0.304 0.020 0.048 0.028
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 4 0.3595 0.82643 0.288 0.000 0.000 0.704 0.000 0.008
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.6334 0.30526 0.188 0.540 0.000 0.040 0.004 0.228
#> 647EE729-B34A-41F0-85AB-207F8C24420B 4 0.3733 0.82580 0.288 0.000 0.000 0.700 0.004 0.008
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.1297 0.81117 0.000 0.948 0.000 0.000 0.012 0.040
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.4194 0.22180 0.664 0.000 0.000 0.308 0.008 0.020
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.5881 0.37464 0.000 0.572 0.304 0.016 0.032 0.076
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.5870 0.20964 0.000 0.552 0.336 0.016 0.052 0.044
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.8140 -0.38907 0.268 0.288 0.000 0.028 0.244 0.172
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.1251 0.81125 0.000 0.956 0.000 0.008 0.012 0.024
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 4 0.4006 0.77405 0.392 0.000 0.000 0.600 0.004 0.004
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.4488 0.73689 0.280 0.052 0.000 0.004 0.664 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.5967 0.06762 0.000 0.508 0.380 0.016 0.052 0.044
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.4613 0.53435 0.740 0.000 0.000 0.144 0.040 0.076
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.5537 0.42378 0.000 0.624 0.272 0.020 0.048 0.036
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0862 0.80524 0.000 0.972 0.000 0.004 0.008 0.016
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.4402 0.49201 0.760 0.004 0.000 0.032 0.144 0.060
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0862 0.80524 0.000 0.972 0.000 0.004 0.008 0.016
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.1686 0.79919 0.000 0.064 0.924 0.000 0.000 0.012
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.2890 0.77897 0.016 0.852 0.000 0.008 0.004 0.120
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.82240 0.000 0.000 1.000 0.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.6041 -0.13950 0.516 0.032 0.000 0.008 0.096 0.348
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.6574 0.02632 0.456 0.012 0.000 0.304 0.020 0.208
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.1251 0.81125 0.000 0.956 0.000 0.008 0.012 0.024
#> 15FB165D-6751-4894-A904-C77EA723CFCB 6 0.6431 0.27491 0.360 0.020 0.000 0.176 0.008 0.436
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.2779 0.77980 0.016 0.856 0.000 0.004 0.004 0.120
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.82240 0.000 0.000 1.000 0.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 6 0.5640 0.57040 0.148 0.208 0.000 0.008 0.016 0.620
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0551 0.80715 0.000 0.984 0.000 0.004 0.004 0.008
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.4865 -0.55585 0.488 0.000 0.000 0.468 0.016 0.028
#> C543A527-3E25-4389-9722-E9325C733243 2 0.2194 0.79942 0.004 0.892 0.004 0.004 0.000 0.096
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.1413 0.79862 0.000 0.948 0.036 0.004 0.004 0.008
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 6 0.4686 0.69428 0.176 0.092 0.000 0.012 0.004 0.716
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.5616 0.15883 0.620 0.004 0.000 0.024 0.224 0.128
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.2865 0.77610 0.016 0.848 0.000 0.004 0.004 0.128
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.5329 0.56319 0.120 0.668 0.000 0.028 0.004 0.180
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0862 0.80524 0.000 0.972 0.000 0.004 0.008 0.016
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 4 0.3713 0.83007 0.284 0.000 0.000 0.704 0.004 0.008
#> E9FC1686-028B-476C-B51B-4956213D874B 4 0.3733 0.82580 0.288 0.000 0.000 0.700 0.004 0.008
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.4219 -0.21112 0.592 0.000 0.000 0.388 0.000 0.020
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.2113 0.79868 0.008 0.896 0.000 0.000 0.004 0.092
#> B9535625-504A-4FCD-B341-2985AE72508A 4 0.4424 0.81335 0.272 0.000 0.000 0.680 0.016 0.032
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 4 0.4006 0.77405 0.392 0.000 0.000 0.600 0.004 0.004
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.2492 0.80442 0.000 0.888 0.036 0.008 0.000 0.068
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.2748 0.78024 0.016 0.856 0.000 0.008 0.000 0.120
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.2890 0.77897 0.016 0.852 0.000 0.008 0.004 0.120
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.2417 0.79873 0.012 0.888 0.000 0.004 0.008 0.088
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.4411 0.66712 0.000 0.772 0.132 0.016 0.044 0.036
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.1282 0.81175 0.000 0.956 0.012 0.004 0.004 0.024
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.3608 0.71720 0.040 0.808 0.000 0.000 0.132 0.020
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.2062 0.80025 0.008 0.900 0.000 0.000 0.004 0.088
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.4215 0.65782 0.044 0.720 0.000 0.004 0.004 0.228
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.2062 0.80025 0.008 0.900 0.000 0.000 0.004 0.088
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.5508 0.51528 0.000 0.304 0.600 0.012 0.048 0.036
#> A280A4AF-0687-40CA-8804-C6173B33E732 6 0.7544 0.22435 0.108 0.012 0.000 0.208 0.316 0.356
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.2384 0.78259 0.032 0.900 0.000 0.004 0.056 0.008
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 4 0.4265 0.78838 0.384 0.000 0.000 0.596 0.004 0.016
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.82240 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.1615 0.80771 0.004 0.928 0.000 0.000 0.004 0.064
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0976 0.80462 0.000 0.968 0.000 0.008 0.008 0.016
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.6064 0.54493 0.192 0.300 0.000 0.004 0.496 0.008
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1750 0.80881 0.008 0.928 0.004 0.004 0.000 0.056
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.82240 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "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 17630 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 0.726 0.939 0.949 0.4614 0.524 0.524
#> 3 3 0.766 0.916 0.934 0.3275 0.809 0.651
#> 4 4 0.682 0.656 0.810 0.1442 0.952 0.877
#> 5 5 0.687 0.570 0.680 0.0844 0.800 0.481
#> 6 6 0.719 0.705 0.810 0.0554 0.900 0.598
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.4939 0.9503 0.108 0.892
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9776 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.4562 0.9529 0.096 0.904
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.4562 0.9529 0.096 0.904
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.2043 0.9355 0.032 0.968
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.4562 0.9529 0.096 0.904
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0376 0.9738 0.996 0.004
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9776 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.9251 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.4939 0.9503 0.108 0.892
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9776 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9776 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9776 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.4939 0.9503 0.108 0.892
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.9251 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.4939 0.9503 0.108 0.892
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.4562 0.9529 0.096 0.904
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9776 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.4939 0.9503 0.108 0.892
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9776 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.4939 0.9503 0.108 0.892
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.9251 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9776 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9776 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.9251 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.4939 0.9503 0.108 0.892
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.9251 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9776 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.4815 0.9513 0.104 0.896
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.9896 0.3623 0.440 0.560
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9776 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.9286 0.5899 0.344 0.656
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9776 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.9251 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9776 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.4939 0.9503 0.108 0.892
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.4939 0.9503 0.108 0.892
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.9776 1.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.4939 0.9503 0.108 0.892
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.4562 0.9529 0.096 0.904
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.9251 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.4562 0.9529 0.096 0.904
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.5946 0.9173 0.144 0.856
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9776 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.9776 1.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0000 0.9251 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.4939 0.9503 0.108 0.892
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.4562 0.9529 0.096 0.904
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9776 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9776 1.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.4939 0.9503 0.108 0.892
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.4562 0.9529 0.096 0.904
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.4562 0.9529 0.096 0.904
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.4939 0.9503 0.108 0.892
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0000 0.9251 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.4939 0.9503 0.108 0.892
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.4562 0.9529 0.096 0.904
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.4562 0.9529 0.096 0.904
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9776 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9776 1.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.4562 0.9529 0.096 0.904
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.4939 0.9503 0.108 0.892
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.4939 0.9503 0.108 0.892
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.4562 0.9529 0.096 0.904
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.4562 0.9529 0.096 0.904
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.4562 0.9529 0.096 0.904
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.2948 0.9417 0.052 0.948
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.4939 0.9503 0.108 0.892
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.0000 0.9251 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9776 1.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.9776 1.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.4562 0.9529 0.096 0.904
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9776 1.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.4562 0.9529 0.096 0.904
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9776 1.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.0000 0.9251 0.000 1.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9776 1.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.4939 0.9503 0.108 0.892
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.4939 0.9503 0.108 0.892
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.9776 1.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.1843 0.9343 0.028 0.972
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.9776 1.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.9323 0.5642 0.652 0.348
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.4939 0.9503 0.108 0.892
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0000 0.9251 0.000 1.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.4939 0.9503 0.108 0.892
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 2 0.0000 0.9251 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.0000 0.9776 1.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.4815 0.9513 0.104 0.896
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.4939 0.9503 0.108 0.892
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.4939 0.9503 0.108 0.892
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 1 0.9988 -0.0814 0.520 0.480
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.4690 0.9522 0.100 0.900
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0000 0.9251 0.000 1.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.9776 1.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.0000 0.9251 0.000 1.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 1 0.9963 -0.0241 0.536 0.464
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.4939 0.9503 0.108 0.892
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.9776 1.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.4939 0.9503 0.108 0.892
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.6148 0.9090 0.152 0.848
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.9776 1.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.9776 1.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.4562 0.9529 0.096 0.904
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.4562 0.9529 0.096 0.904
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.4939 0.9503 0.108 0.892
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.4939 0.9503 0.108 0.892
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.2778 0.9405 0.048 0.952
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.0000 0.9251 0.000 1.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.9776 1.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.9776 1.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 2 0.0000 0.9251 0.000 1.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 2 0.0000 0.9251 0.000 1.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.9776 1.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.9776 1.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.9776 1.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.4939 0.9503 0.108 0.892
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 2 0.0000 0.9251 0.000 1.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 2 0.0000 0.9251 0.000 1.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 2 0.4562 0.9529 0.096 0.904
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.0000 0.9776 1.000 0.000
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.0000 0.9776 1.000 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.0000 0.9776 1.000 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.4939 0.9503 0.108 0.892
#> 113340B4-B092-4B8C-8A13-5932525B0C33 1 0.0000 0.9776 1.000 0.000
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 2 0.0000 0.9251 0.000 1.000
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.4939 0.9503 0.108 0.892
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 2 0.0000 0.9251 0.000 1.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0000 0.9776 1.000 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.0000 0.9776 1.000 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.0000 0.9776 1.000 0.000
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 2 0.0000 0.9251 0.000 1.000
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0000 0.9776 1.000 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.4939 0.9503 0.108 0.892
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 2 0.4562 0.9529 0.096 0.904
#> A0A24949-483B-4250-B11E-2BCE49F302AC 2 0.0000 0.9251 0.000 1.000
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.0000 0.9776 1.000 0.000
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 2 0.4161 0.9504 0.084 0.916
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 2 0.4562 0.9529 0.096 0.904
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 2 0.4939 0.9503 0.108 0.892
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.0000 0.9776 1.000 0.000
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 2 0.4939 0.9503 0.108 0.892
#> 7604968C-689A-458D-96BA-33B163B238F8 2 0.4939 0.9503 0.108 0.892
#> 2E040577-EA0C-4876-9F43-A180DA38F733 1 0.0000 0.9776 1.000 0.000
#> 9C30E1C0-1ADE-460B-B53D-297CCA80C071 2 0.0000 0.9251 0.000 1.000
#> 4FE5EDE2-7790-4A75-9BB6-93260A8154A0 2 0.4939 0.9503 0.108 0.892
#> A4821960-9921-4B07-98CE-C4FDCA15146D 1 0.0000 0.9776 1.000 0.000
#> 8DA59514-8B25-493E-B226-818F2521B5D5 1 0.0000 0.9776 1.000 0.000
#> C9EE359E-2F42-4D20-880D-FBF8B4953731 1 0.0000 0.9776 1.000 0.000
#> F90967A5-96C6-4669-BCFB-0C51F539B0E7 2 0.4562 0.9529 0.096 0.904
#> 2482156E-29A8-4B6B-91BD-219EAC9229B5 2 0.3114 0.9428 0.056 0.944
#> 4EA4A8AE-581A-4170-8062-99645CB41337 1 0.0000 0.9776 1.000 0.000
#> C584D193-A7DD-43B1-93ED-C46F4E3313F0 2 0.4939 0.9503 0.108 0.892
#> 2FBF997D-B138-4BB4-B51E-81CEF9C0C8A3 2 0.4562 0.9529 0.096 0.904
#> 0AF0D126-507C-4DE1-B9A2-A1B8F0A089FB 2 0.4939 0.9503 0.108 0.892
#> 077523A7-E1C9-4E9F-8C9F-B9F647B4DF7C 2 0.0000 0.9251 0.000 1.000
#> 32CED7C6-C413-4B5C-8A49-8AA2C97E582D 2 0.0000 0.9251 0.000 1.000
#> 66FF1C46-83F0-4EEC-9871-448C8C7EA3AE 1 0.0000 0.9776 1.000 0.000
#> 89BE4270-8300-424E-A248-A0B00C3F5C1A 2 0.4939 0.9503 0.108 0.892
#> 0F8BE394-BA6A-401C-87D0-9B3CF50FB0C8 2 0.4939 0.9503 0.108 0.892
#> 008AE101-874B-4EB6-B811-3945E5ECCFD9 1 0.0000 0.9776 1.000 0.000
#> 67B5E93E-6F06-4247-86DD-A914279EFFC5 2 0.4562 0.9529 0.096 0.904
#> 1E2D87A6-48B8-47FA-A801-AFEA7E01E829 2 0.0000 0.9251 0.000 1.000
#> E3A67B7B-7427-4C11-912B-166451072767 2 0.0000 0.9251 0.000 1.000
#> BFC86E5F-1A88-4E87-A8C2-2434EC5D95BE 2 0.4562 0.9529 0.096 0.904
#> F226F6D3-DE88-4B15-A0F1-63EDB55E8F9D 1 0.0000 0.9776 1.000 0.000
#> DE370889-1057-4355-AFD8-CCFCDC6CD00F 1 0.0000 0.9776 1.000 0.000
#> 7E198F8E-BBAA-419D-8986-359C109FBE74 1 0.0000 0.9776 1.000 0.000
#> 8CDEDFEC-954A-4D01-AF6B-AF55CFE5FEAB 1 0.0000 0.9776 1.000 0.000
#> AA762299-102B-4E35-B4A5-A94A122EF9DB 1 0.0000 0.9776 1.000 0.000
#> 67719D37-8CC2-42B5-AF44-6D5AC258FDB1 1 0.0000 0.9776 1.000 0.000
#> 2C70D7BF-85C4-447B-B0F9-A129D6B49E77 2 0.2778 0.9405 0.048 0.952
#> BEC9AC40-7CCC-4396-8FAC-9BF05C549D84 2 0.4815 0.9513 0.104 0.896
#> 22C1A41D-014D-4EFB-AF5B-EFC3FEC1E936 1 0.0000 0.9776 1.000 0.000
#> 5F991EDF-3871-4111-9A04-BF6CA02648CA 2 0.4562 0.9529 0.096 0.904
#> 694B3BE3-104F-4D90-8733-4E99230EFAC6 2 0.4939 0.9503 0.108 0.892
#> C67163A8-8A5F-4398-AC65-167218B010CF 2 0.4939 0.9503 0.108 0.892
#> AF548E30-7121-4F9F-A2CD-F1A540E9C4EE 1 0.0000 0.9776 1.000 0.000
#> E2C7E2B8-BC9B-476C-A705-CBBCA51F7C26 2 0.4939 0.9503 0.108 0.892
#> 65DAB913-D39C-4AC4-BB1C-10E58914571F 1 0.0000 0.9776 1.000 0.000
#> 8976C50F-B340-488D-B9C1-12CCAC780397 1 0.0000 0.9776 1.000 0.000
#> 087D4EB4-61AB-4EF4-9C76-7721E7FC5E0F 2 0.4939 0.9503 0.108 0.892
#> A5D67B9F-5558-48FC-81A3-642D1903DA1F 2 0.4562 0.9529 0.096 0.904
#> 4942E435-61E6-4A43-B031-4E08F0B41186 1 0.0000 0.9776 1.000 0.000
#> 53B31ABD-AD68-4A44-A525-23FD413115D5 1 0.0000 0.9776 1.000 0.000
#> 01B819BD-664B-4D9E-B60B-9D9E8305A626 2 0.0000 0.9251 0.000 1.000
#> 6B8CAF74-45C6-4C20-8126-A99F73346198 1 0.0000 0.9776 1.000 0.000
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#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.9776 1.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.4939 0.9503 0.108 0.892
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 2 0.0000 0.9251 0.000 1.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 2 0.0000 0.9251 0.000 1.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.4939 0.9503 0.108 0.892
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 2 0.0000 0.9251 0.000 1.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 2 0.0000 0.9251 0.000 1.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.9776 1.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 2 0.0000 0.9251 0.000 1.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.9776 1.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.0000 0.9776 1.000 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 1 0.3274 0.9148 0.940 0.060
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.9776 1.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.9776 1.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.1633 0.9538 0.976 0.024
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.9776 1.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.4939 0.9503 0.108 0.892
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0000 0.9251 0.000 1.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.2423 0.9373 0.960 0.040
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.4939 0.9503 0.108 0.892
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.9776 1.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 2 0.0000 0.9251 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.9776 1.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.4939 0.9503 0.108 0.892
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.4939 0.9503 0.108 0.892
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 2 0.0000 0.9251 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.0000 0.9251 0.000 1.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.4939 0.9503 0.108 0.892
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.0000 0.9251 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 2 0.0000 0.9251 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.0000 0.9251 0.000 1.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 2 0.0000 0.9251 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.9776 1.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 2 0.0000 0.9251 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.0000 0.9251 0.000 1.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.4562 0.9529 0.096 0.904
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.4562 0.9529 0.096 0.904
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9776 1.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.0000 0.9251 0.000 1.000
#> D902E43A-F384-432A-B690-D20BFCC78443 1 0.9983 -0.0756 0.524 0.476
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.4562 0.9529 0.096 0.904
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.4939 0.9503 0.108 0.892
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.4939 0.9503 0.108 0.892
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.0000 0.9251 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9776 1.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.9776 1.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9776 1.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.4562 0.9529 0.096 0.904
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.9776 1.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9776 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.4815 0.9513 0.104 0.896
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9776 1.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.4562 0.9529 0.096 0.904
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9776 1.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.9251 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.4939 0.9503 0.108 0.892
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.9776 1.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 1 0.8267 0.6031 0.740 0.260
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9776 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.4562 0.9529 0.096 0.904
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9776 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.4562 0.9529 0.096 0.904
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.9251 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9776 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.4939 0.9503 0.108 0.892
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9776 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.4939 0.9503 0.108 0.892
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9776 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.4562 0.9529 0.096 0.904
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.9251 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.9776 1.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.4939 0.9503 0.108 0.892
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9776 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9776 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.9251 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9776 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.9251 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.4562 0.9529 0.096 0.904
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9776 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.4562 0.9529 0.096 0.904
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.9251 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.4939 0.9503 0.108 0.892
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.9251 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9776 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9776 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.4939 0.9503 0.108 0.892
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9776 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.4939 0.9503 0.108 0.892
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.9251 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.1184 0.9622 0.984 0.016
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.4562 0.9529 0.096 0.904
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9776 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.4815 0.9513 0.104 0.896
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.4562 0.9529 0.096 0.904
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.2778 0.9285 0.952 0.048
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9776 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.4939 0.9503 0.108 0.892
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.4939 0.9503 0.108 0.892
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.4939 0.9503 0.108 0.892
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9776 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9776 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9776 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.4939 0.9503 0.108 0.892
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9776 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9776 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.4562 0.9529 0.096 0.904
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.4815 0.9513 0.104 0.896
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.4939 0.9503 0.108 0.892
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.4939 0.9503 0.108 0.892
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.9251 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.4562 0.9529 0.096 0.904
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.4939 0.9503 0.108 0.892
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.4939 0.9503 0.108 0.892
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.4939 0.9503 0.108 0.892
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.4939 0.9503 0.108 0.892
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.9251 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9776 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.4939 0.9503 0.108 0.892
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9776 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.9251 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.4939 0.9503 0.108 0.892
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.4562 0.9529 0.096 0.904
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.5059 0.9473 0.112 0.888
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.4562 0.9529 0.096 0.904
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.9251 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9616 0.000 1.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.1529 0.9294 0.960 0.000 0.040
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9616 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9616 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.9616 0.000 1.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9616 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.7979 0.1797 0.500 0.440 0.060
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.7848 0.5915 0.640 0.264 0.096
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.3619 0.9705 0.000 0.136 0.864
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9616 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.2625 0.9322 0.916 0.000 0.084
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.3551 0.9204 0.868 0.000 0.132
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.1529 0.9294 0.960 0.000 0.040
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.2689 0.8925 0.032 0.932 0.036
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.1753 0.9124 0.000 0.952 0.048
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9616 0.000 1.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.9616 0.000 1.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0237 0.9364 0.996 0.000 0.004
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9616 0.000 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.1529 0.9275 0.960 0.000 0.040
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9616 0.000 1.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.3619 0.9705 0.000 0.136 0.864
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.1289 0.9301 0.968 0.000 0.032
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.1529 0.9275 0.960 0.000 0.040
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.3619 0.9705 0.000 0.136 0.864
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9616 0.000 1.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.6126 0.5766 0.000 0.400 0.600
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0424 0.9359 0.992 0.000 0.008
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.9616 0.000 1.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.7603 0.5293 0.236 0.668 0.096
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0237 0.9364 0.996 0.000 0.004
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 1 0.5229 0.8188 0.828 0.068 0.104
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0237 0.9364 0.996 0.000 0.004
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.4750 0.8900 0.000 0.216 0.784
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0237 0.9364 0.996 0.000 0.004
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.9616 0.000 1.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9616 0.000 1.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.2796 0.9300 0.908 0.000 0.092
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9616 0.000 1.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.9616 0.000 1.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.3619 0.9705 0.000 0.136 0.864
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.9616 0.000 1.000 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.3112 0.8563 0.004 0.900 0.096
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.2878 0.9255 0.904 0.000 0.096
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.1643 0.9301 0.956 0.000 0.044
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.3412 0.8144 0.000 0.876 0.124
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.2860 0.8700 0.004 0.912 0.084
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.9616 0.000 1.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0237 0.9364 0.996 0.000 0.004
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0237 0.9364 0.996 0.000 0.004
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.5047 0.7437 0.140 0.824 0.036
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.9616 0.000 1.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.9616 0.000 1.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.9616 0.000 1.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.5529 0.7809 0.000 0.296 0.704
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9616 0.000 1.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.9616 0.000 1.000 0.000
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#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.3619 0.9705 0.000 0.136 0.864
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.4960 0.8004 0.832 0.128 0.040
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.3619 0.9705 0.000 0.136 0.864
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.3619 0.9705 0.000 0.136 0.864
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0000 0.9616 0.000 1.000 0.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0000 0.9616 0.000 1.000 0.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.2711 0.9281 0.912 0.000 0.088
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.3619 0.9705 0.000 0.136 0.864
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.4256 0.8176 0.036 0.868 0.096
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0000 0.9616 0.000 1.000 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.9616 0.000 1.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0237 0.9581 0.000 0.996 0.004
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.3619 0.9705 0.000 0.136 0.864
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.1529 0.9275 0.960 0.000 0.040
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.2878 0.9255 0.904 0.000 0.096
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.2878 0.9255 0.904 0.000 0.096
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0000 0.9616 0.000 1.000 0.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.5285 0.8226 0.824 0.112 0.064
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0237 0.9364 0.996 0.000 0.004
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.0000 0.9616 0.000 1.000 0.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.1860 0.9314 0.948 0.000 0.052
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.9616 0.000 1.000 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.2796 0.9268 0.908 0.000 0.092
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.9616 0.000 1.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.3112 0.8563 0.004 0.900 0.096
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.6829 0.6410 0.168 0.736 0.096
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.3802 0.8472 0.032 0.888 0.080
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.2711 0.9277 0.912 0.000 0.088
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9616 0.000 1.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.2625 0.9288 0.916 0.000 0.084
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.9616 0.000 1.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.3340 0.8202 0.000 0.880 0.120
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0237 0.9364 0.996 0.000 0.004
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.1163 0.9344 0.000 0.972 0.028
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0237 0.9364 0.996 0.000 0.004
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9616 0.000 1.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0237 0.9364 0.996 0.000 0.004
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.9616 0.000 1.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.5216 0.8347 0.000 0.260 0.740
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.8425 0.3972 0.540 0.364 0.096
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9616 0.000 1.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0237 0.9364 0.996 0.000 0.004
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.2878 0.9255 0.904 0.000 0.096
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.3752 0.7845 0.000 0.856 0.144
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0424 0.9359 0.992 0.000 0.008
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.9616 0.000 1.000 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.9616 0.000 1.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.2878 0.9255 0.904 0.000 0.096
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.9616 0.000 1.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.3619 0.9705 0.000 0.136 0.864
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9616 0.000 1.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.3619 0.9705 0.000 0.136 0.864
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.3340 0.9240 0.880 0.000 0.120
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.1529 0.9275 0.960 0.000 0.040
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9616 0.000 1.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.1529 0.9275 0.960 0.000 0.040
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9616 0.000 1.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.3619 0.9705 0.000 0.136 0.864
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.7497 0.5735 0.652 0.276 0.072
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.9616 0.000 1.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0424 0.9359 0.992 0.000 0.008
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9616 0.000 1.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.9616 0.000 1.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.7163 0.4817 0.628 0.332 0.040
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.2959 0.9254 0.900 0.000 0.100
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0237 0.9581 0.000 0.996 0.004
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.1163 0.9344 0.000 0.972 0.028
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.9616 0.000 1.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.1289 0.9301 0.968 0.000 0.032
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0237 0.9364 0.996 0.000 0.004
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0237 0.9364 0.996 0.000 0.004
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9616 0.000 1.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.1411 0.9288 0.964 0.000 0.036
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0237 0.9364 0.996 0.000 0.004
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9616 0.000 1.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9616 0.000 1.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9616 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9616 0.000 1.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.9616 0.000 1.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.9616 0.000 1.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0237 0.9580 0.000 0.996 0.004
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9616 0.000 1.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9616 0.000 1.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9616 0.000 1.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.5138 0.8455 0.000 0.252 0.748
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.2356 0.9318 0.928 0.000 0.072
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.9616 0.000 1.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0237 0.9364 0.996 0.000 0.004
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.3619 0.9705 0.000 0.136 0.864
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9616 0.000 1.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.9616 0.000 1.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.3112 0.8563 0.004 0.900 0.096
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9616 0.000 1.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.3619 0.9705 0.000 0.136 0.864
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.5406 0.5958 0.740 0.076 0.004 0.180
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0707 0.7842 0.000 0.980 0.000 0.020
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.1940 0.7729 0.000 0.924 0.000 0.076
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.4955 0.5728 0.000 0.556 0.000 0.444
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0921 0.7828 0.000 0.972 0.000 0.028
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.6564 0.2794 0.156 0.648 0.004 0.192
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 4 0.7310 0.2896 0.152 0.408 0.000 0.440
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0376 0.9094 0.000 0.004 0.992 0.004
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.5788 0.6005 0.608 0.032 0.004 0.356
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 4 0.5161 -0.4333 0.476 0.000 0.004 0.520
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.4155 0.6846 0.756 0.000 0.004 0.240
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.1902 0.7388 0.000 0.932 0.004 0.064
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.5257 0.5630 0.000 0.548 0.008 0.444
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.4454 0.6876 0.000 0.692 0.000 0.308
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.3208 0.6965 0.848 0.000 0.004 0.148
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0188 0.9099 0.000 0.004 0.996 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0817 0.7295 0.976 0.000 0.000 0.024
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.3157 0.7001 0.852 0.000 0.004 0.144
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.5126 0.4726 0.000 0.004 0.552 0.444
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.7689 -0.0518 0.000 0.236 0.320 0.444
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0336 0.7348 0.992 0.000 0.000 0.008
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.5515 0.3405 0.116 0.152 0.000 0.732
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 1 0.7085 0.3910 0.544 0.048 0.044 0.364
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.6658 0.3142 0.000 0.084 0.472 0.444
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.4222 0.6960 0.000 0.728 0.000 0.272
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.4985 0.4804 0.532 0.000 0.000 0.468
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.2714 0.8648 0.000 0.004 0.884 0.112
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.4356 0.6992 0.000 0.708 0.000 0.292
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.4843 0.3126 0.000 0.604 0.000 0.396
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.4948 0.4471 0.560 0.000 0.000 0.440
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.4220 0.6826 0.748 0.000 0.004 0.248
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.5755 0.5362 0.000 0.528 0.028 0.444
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.3528 0.7131 0.000 0.808 0.000 0.192
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.2469 0.7656 0.000 0.892 0.000 0.108
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.4648 0.5626 0.040 0.784 0.004 0.172
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.7362 -0.1882 0.000 0.160 0.396 0.444
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.2469 0.7656 0.000 0.892 0.000 0.108
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.3569 0.7103 0.804 0.000 0.000 0.196
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.3355 0.7037 0.836 0.000 0.004 0.160
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.3024 0.7319 0.000 0.852 0.000 0.148
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.1557 0.7774 0.000 0.944 0.000 0.056
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.2408 0.7666 0.000 0.896 0.000 0.104
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.4776 0.6415 0.000 0.624 0.000 0.376
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.2714 0.8648 0.000 0.004 0.884 0.112
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.3266 0.6882 0.832 0.000 0.000 0.168
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.4948 0.4471 0.560 0.000 0.000 0.440
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.1211 0.7237 0.960 0.000 0.000 0.040
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#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.3105 0.8439 0.000 0.004 0.856 0.140
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.5478 0.5526 0.000 0.540 0.016 0.444
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0188 0.9099 0.000 0.004 0.996 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.6633 0.3613 0.000 0.084 0.500 0.416
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0188 0.9099 0.000 0.004 0.996 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.5937 0.4425 0.704 0.180 0.004 0.112
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0188 0.9099 0.000 0.004 0.996 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.2714 0.8648 0.000 0.004 0.884 0.112
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.4222 0.6568 0.728 0.000 0.000 0.272
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.3751 0.7895 0.000 0.004 0.800 0.196
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.4941 0.0104 0.000 0.564 0.000 0.436
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.1022 0.7664 0.000 0.968 0.000 0.032
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0188 0.9099 0.000 0.004 0.996 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.3052 0.6957 0.860 0.000 0.004 0.136
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.4948 0.4471 0.560 0.000 0.000 0.440
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.4989 0.4173 0.528 0.000 0.000 0.472
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.3444 0.7427 0.000 0.816 0.000 0.184
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.7882 0.1363 0.444 0.264 0.004 0.288
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.4535 0.6772 0.704 0.000 0.004 0.292
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.4277 0.6541 0.720 0.000 0.000 0.280
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.4955 0.5728 0.000 0.556 0.000 0.444
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.4888 0.5699 0.000 0.588 0.000 0.412
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.6060 -0.1358 0.044 0.516 0.000 0.440
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.1211 0.7609 0.000 0.960 0.000 0.040
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.4193 0.6590 0.732 0.000 0.000 0.268
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.4193 0.6590 0.732 0.000 0.000 0.268
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.5992 0.5188 0.000 0.516 0.040 0.444
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0336 0.7347 0.992 0.000 0.000 0.008
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.3123 0.7257 0.000 0.844 0.000 0.156
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.7047 -0.2746 0.000 0.120 0.436 0.444
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.6445 -0.2021 0.068 0.488 0.000 0.444
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.4941 0.4516 0.564 0.000 0.000 0.436
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.6200 0.5006 0.000 0.504 0.052 0.444
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0592 0.7325 0.984 0.000 0.000 0.016
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.3486 0.7164 0.000 0.812 0.000 0.188
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 4 0.5000 -0.4146 0.496 0.000 0.000 0.504
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.1743 0.8928 0.000 0.004 0.940 0.056
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0188 0.9099 0.000 0.004 0.996 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.5050 0.5824 0.588 0.000 0.004 0.408
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.3105 0.7026 0.856 0.000 0.004 0.140
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.2773 0.6903 0.880 0.000 0.004 0.116
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0188 0.9099 0.000 0.004 0.996 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.7828 -0.0344 0.420 0.360 0.004 0.216
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0592 0.7323 0.984 0.000 0.000 0.016
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.7438 -0.0560 0.296 0.520 0.004 0.180
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.5000 0.4017 0.504 0.000 0.000 0.496
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.4103 0.7013 0.000 0.744 0.000 0.256
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0817 0.7295 0.976 0.000 0.000 0.024
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.1022 0.7268 0.968 0.000 0.000 0.032
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.3528 0.7173 0.000 0.808 0.000 0.192
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.7254 0.3520 0.000 0.300 0.524 0.176
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.4761 0.6404 0.664 0.000 0.004 0.332
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.4477 0.6830 0.000 0.688 0.000 0.312
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.7370 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0188 0.9099 0.000 0.004 0.996 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.7867 0.000 1.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.4585 0.6762 0.000 0.668 0.000 0.332
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.4907 0.2539 0.000 0.580 0.000 0.420
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1022 0.7821 0.000 0.968 0.000 0.032
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0188 0.9099 0.000 0.004 0.996 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.4030 0.77398 0.000 0.648 0.000 0.352 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.6271 0.25317 0.440 0.412 0.000 0.000 0.148
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.4457 0.74983 0.000 0.620 0.000 0.368 0.012
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.4559 -0.38334 0.000 0.480 0.000 0.512 0.008
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.72939 0.000 0.000 0.000 1.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.4321 0.69898 0.000 0.600 0.000 0.396 0.004
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.4525 0.18299 0.028 0.764 0.000 0.036 0.172
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.4547 0.54776 0.044 0.252 0.000 0.000 0.704
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0451 0.93080 0.000 0.000 0.988 0.008 0.004
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.4416 0.76749 0.000 0.632 0.000 0.356 0.012
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.6647 -0.58148 0.224 0.392 0.000 0.000 0.384
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.5376 0.39701 0.080 0.308 0.000 0.000 0.612
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.6670 0.29197 0.436 0.308 0.000 0.000 0.256
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.3355 0.56126 0.000 0.804 0.000 0.184 0.012
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.1557 0.70806 0.000 0.000 0.008 0.940 0.052
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.4030 0.77398 0.000 0.648 0.000 0.352 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.2909 0.63399 0.000 0.140 0.000 0.848 0.012
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.66514 1.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.4511 0.76415 0.000 0.628 0.000 0.356 0.016
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.6231 0.37117 0.532 0.288 0.000 0.000 0.180
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.4416 0.76749 0.000 0.632 0.000 0.356 0.012
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0703 0.65777 0.976 0.000 0.000 0.000 0.024
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.6298 0.36759 0.520 0.292 0.000 0.000 0.188
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.5155 0.03501 0.000 0.000 0.352 0.596 0.052
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.4045 0.77342 0.000 0.644 0.000 0.356 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.4360 0.50745 0.000 0.000 0.184 0.752 0.064
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0404 0.66267 0.988 0.000 0.000 0.000 0.012
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.4774 0.57767 0.052 0.036 0.000 0.152 0.760
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0609 0.66358 0.980 0.020 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.7502 -0.37657 0.196 0.452 0.004 0.048 0.300
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.66514 1.000 0.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.4800 0.30060 0.000 0.000 0.272 0.676 0.052
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0963 0.65993 0.964 0.036 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.2966 0.57433 0.000 0.184 0.000 0.816 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.4030 0.77398 0.000 0.648 0.000 0.352 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.4665 0.49401 0.148 0.112 0.000 0.000 0.740
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.4045 0.77342 0.000 0.644 0.000 0.356 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.1341 0.75054 0.000 0.056 0.000 0.944 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.2729 0.88887 0.000 0.000 0.884 0.060 0.056
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.4111 0.60083 0.000 0.120 0.000 0.788 0.092
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.4956 0.46275 0.000 0.316 0.000 0.048 0.636
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.3550 0.62237 0.236 0.004 0.000 0.000 0.760
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.6742 0.26435 0.408 0.316 0.000 0.000 0.276
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.1981 0.69841 0.000 0.000 0.016 0.920 0.064
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.6802 0.08047 0.000 0.372 0.000 0.328 0.300
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.5201 -0.23497 0.000 0.424 0.000 0.532 0.044
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.66514 1.000 0.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0510 0.66434 0.984 0.016 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.4513 0.20306 0.008 0.744 0.000 0.048 0.200
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.4325 0.39977 0.000 0.000 0.240 0.724 0.036
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.4030 0.77398 0.000 0.648 0.000 0.352 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.4718 -0.28063 0.000 0.444 0.000 0.540 0.016
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.4060 0.29033 0.640 0.000 0.000 0.000 0.360
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#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> 7C225672-8372-4202-A749-3D8E9A0747CC 4 0.4546 -0.31594 0.000 0.460 0.000 0.532 0.008
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 5 0.3395 0.62193 0.236 0.000 0.000 0.000 0.764
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.66514 1.000 0.000 0.000 0.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 3 0.4679 0.72214 0.000 0.000 0.716 0.216 0.068
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 2 0.5290 0.56691 0.000 0.676 0.000 0.184 0.140
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> 2F382D6A-B26F-450A-A156-9407D14538CD 5 0.6482 0.19119 0.276 0.232 0.000 0.000 0.492
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.4514 0.52422 0.740 0.072 0.000 0.000 0.188
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.5535 0.18252 0.536 0.072 0.000 0.000 0.392
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.4045 0.77342 0.000 0.644 0.000 0.356 0.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.2514 0.89596 0.000 0.000 0.896 0.044 0.060
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.4182 0.77338 0.000 0.644 0.000 0.352 0.004
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0324 0.93147 0.000 0.000 0.992 0.004 0.004
#> 3941F338-3165-4CCA-9108-65A110186E6B 5 0.6298 0.19512 0.292 0.188 0.000 0.000 0.520
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.1012 0.92493 0.000 0.000 0.968 0.020 0.012
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.66514 1.000 0.000 0.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 2 0.5365 0.17488 0.000 0.528 0.000 0.056 0.416
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.5371 0.16359 0.000 0.524 0.000 0.056 0.420
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 5 0.4956 0.47684 0.316 0.048 0.000 0.000 0.636
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.5082 0.42970 0.664 0.076 0.000 0.000 0.260
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 5 0.3732 0.64656 0.176 0.032 0.000 0.000 0.792
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.4922 0.48277 0.716 0.128 0.000 0.000 0.156
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.4402 0.76905 0.000 0.636 0.000 0.352 0.012
#> FC2F983B-2530-4886-B759-E2C571E2D068 4 0.6866 0.15906 0.000 0.316 0.092 0.524 0.068
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 2 0.7246 0.15044 0.212 0.548 0.000 0.132 0.108
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.4060 0.76985 0.000 0.640 0.000 0.360 0.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.5639 0.16347 0.524 0.080 0.000 0.000 0.396
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.1121 0.64916 0.956 0.000 0.000 0.000 0.044
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.4402 0.76905 0.000 0.636 0.000 0.352 0.012
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.4045 0.77342 0.000 0.644 0.000 0.356 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.3752 0.82848 0.000 0.000 0.812 0.124 0.064
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.4045 0.77342 0.000 0.644 0.000 0.356 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.1117 0.71560 0.000 0.000 0.016 0.964 0.020
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 4 0.5364 0.07364 0.000 0.000 0.364 0.572 0.064
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.6735 0.26703 0.484 0.368 0.000 0.036 0.112
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.2795 0.88724 0.000 0.000 0.880 0.056 0.064
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.5584 0.17827 0.532 0.076 0.000 0.000 0.392
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.4763 0.72036 0.000 0.000 0.712 0.212 0.076
#> D902E43A-F384-432A-B690-D20BFCC78443 5 0.3816 0.50845 0.000 0.304 0.000 0.000 0.696
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.4030 0.77398 0.000 0.648 0.000 0.352 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.4249 0.70403 0.000 0.688 0.000 0.296 0.016
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.6287 0.36586 0.520 0.296 0.000 0.000 0.184
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.3642 0.62524 0.232 0.008 0.000 0.000 0.760
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.2690 0.64140 0.156 0.000 0.000 0.000 0.844
#> 37586AAC-159B-41F9-9078-C2F7888753AC 4 0.4384 0.20183 0.000 0.324 0.000 0.660 0.016
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.5626 -0.23268 0.124 0.640 0.000 0.004 0.232
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.66514 1.000 0.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 2 0.6823 -0.61942 0.336 0.344 0.000 0.000 0.320
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.5742 0.13959 0.508 0.088 0.000 0.000 0.404
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0000 0.72939 0.000 0.000 0.000 1.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.5973 0.40866 0.000 0.164 0.000 0.580 0.256
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.3586 0.54371 0.000 0.264 0.000 0.000 0.736
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.5191 0.65179 0.000 0.660 0.000 0.252 0.088
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.5535 0.18252 0.536 0.072 0.000 0.000 0.392
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.4416 0.76749 0.000 0.632 0.000 0.356 0.012
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.5432 0.19049 0.544 0.064 0.000 0.000 0.392
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.2079 0.69568 0.000 0.000 0.020 0.916 0.064
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.66514 1.000 0.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.4015 0.77141 0.000 0.652 0.000 0.348 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.66514 1.000 0.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.4030 0.77398 0.000 0.648 0.000 0.352 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0510 0.66434 0.984 0.016 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 4 0.5591 -0.35671 0.000 0.432 0.000 0.496 0.072
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.4503 0.35550 0.000 0.000 0.256 0.704 0.040
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.4196 0.45441 0.000 0.356 0.000 0.004 0.640
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.4045 0.77342 0.000 0.644 0.000 0.356 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.66514 1.000 0.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.3642 0.62524 0.232 0.008 0.000 0.000 0.760
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.1310 0.71042 0.000 0.000 0.024 0.956 0.020
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.1597 0.66065 0.940 0.048 0.000 0.000 0.012
#> EDD5BA86-0402-4002-8040-2B98F43DA758 4 0.5386 -0.12415 0.000 0.372 0.000 0.564 0.064
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.4457 0.58699 0.124 0.116 0.000 0.000 0.760
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.1915 0.91041 0.000 0.000 0.928 0.032 0.040
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.4511 0.76415 0.000 0.628 0.000 0.356 0.016
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.6562 0.11488 0.228 0.308 0.000 0.000 0.464
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.6323 0.38334 0.516 0.292 0.000 0.000 0.192
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.4045 0.77342 0.000 0.644 0.000 0.356 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.6071 0.38306 0.556 0.284 0.000 0.000 0.160
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.4402 0.76905 0.000 0.636 0.000 0.352 0.012
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.6269 -0.20894 0.132 0.608 0.000 0.028 0.232
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0912 0.66477 0.972 0.012 0.000 0.000 0.016
#> C543A527-3E25-4389-9722-E9325C733243 2 0.4511 0.76415 0.000 0.628 0.000 0.356 0.016
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.1341 0.75054 0.000 0.056 0.000 0.944 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.5257 -0.03734 0.116 0.688 0.000 0.004 0.192
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.4717 0.56637 0.120 0.144 0.000 0.000 0.736
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.4371 0.76377 0.000 0.644 0.000 0.344 0.012
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.4030 0.77398 0.000 0.648 0.000 0.352 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.3305 0.49516 0.000 0.224 0.000 0.776 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0703 0.65777 0.976 0.000 0.000 0.000 0.024
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.66514 1.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0963 0.65993 0.964 0.036 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.4045 0.77342 0.000 0.644 0.000 0.356 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.1121 0.64916 0.956 0.000 0.000 0.000 0.044
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.66514 1.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.4511 0.76415 0.000 0.628 0.000 0.356 0.016
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.4416 0.76749 0.000 0.632 0.000 0.356 0.012
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.4402 0.76905 0.000 0.636 0.000 0.352 0.012
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.4030 0.77398 0.000 0.648 0.000 0.352 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 4 0.5360 -0.15050 0.000 0.384 0.000 0.556 0.060
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.1410 0.75056 0.000 0.060 0.000 0.940 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.4015 0.77141 0.000 0.652 0.000 0.348 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.4045 0.77342 0.000 0.644 0.000 0.356 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.4416 0.76749 0.000 0.632 0.000 0.356 0.012
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.4045 0.77342 0.000 0.644 0.000 0.356 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.7894 0.02497 0.000 0.268 0.384 0.272 0.076
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.6725 0.02434 0.272 0.312 0.000 0.000 0.416
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.1544 0.74301 0.000 0.068 0.000 0.932 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0609 0.66351 0.980 0.020 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.93259 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.4045 0.77342 0.000 0.644 0.000 0.356 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.1341 0.75054 0.000 0.056 0.000 0.944 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.4907 0.48928 0.000 0.292 0.000 0.052 0.656
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.4182 0.69394 0.000 0.600 0.000 0.400 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.93259 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0260 0.8874 0.000 0.992 0.000 0.008 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 6 0.4996 0.6645 0.216 0.128 0.000 0.004 0.000 0.652
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0603 0.8842 0.000 0.980 0.000 0.000 0.016 0.004
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.2806 0.7331 0.000 0.844 0.000 0.136 0.016 0.004
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.2340 0.8451 0.000 0.148 0.000 0.852 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.1679 0.8491 0.000 0.936 0.000 0.036 0.016 0.012
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.3126 0.5652 0.000 0.248 0.000 0.000 0.000 0.752
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.2958 0.6586 0.008 0.160 0.000 0.008 0.824 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0713 0.8809 0.000 0.000 0.972 0.000 0.028 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0508 0.8875 0.000 0.984 0.000 0.000 0.004 0.012
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 6 0.3793 0.7322 0.080 0.020 0.000 0.004 0.084 0.812
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 6 0.4497 0.5912 0.016 0.000 0.000 0.060 0.212 0.712
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 6 0.3315 0.7521 0.200 0.000 0.000 0.000 0.020 0.780
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.1908 0.8082 0.000 0.900 0.000 0.004 0.000 0.096
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.5946 0.7376 0.000 0.148 0.000 0.628 0.112 0.112
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#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.2854 0.8636 0.000 0.208 0.000 0.792 0.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.5749 0.4662 0.044 0.000 0.000 0.108 0.600 0.248
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.2854 0.8636 0.000 0.208 0.000 0.792 0.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.4361 0.7913 0.000 0.000 0.764 0.032 0.104 0.100
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0622 0.8860 0.000 0.980 0.000 0.000 0.008 0.012
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.8861 0.000 0.000 1.000 0.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 6 0.5375 0.6455 0.096 0.000 0.000 0.108 0.108 0.688
#> 0636DD62-C493-47CC-A120-9759FB6980CD 6 0.3819 0.7306 0.200 0.000 0.000 0.040 0.004 0.756
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.8908 0.000 1.000 0.000 0.000 0.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 6 0.3390 0.6818 0.296 0.000 0.000 0.000 0.000 0.704
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0458 0.8872 0.000 0.984 0.000 0.000 0.000 0.016
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.8861 0.000 0.000 1.000 0.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 6 0.3530 0.6655 0.028 0.160 0.000 0.008 0.004 0.800
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.2854 0.8636 0.000 0.208 0.000 0.792 0.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.1421 0.7173 0.944 0.000 0.000 0.028 0.000 0.028
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0914 0.8794 0.000 0.968 0.000 0.000 0.016 0.016
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.2793 0.8635 0.000 0.200 0.000 0.800 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 6 0.3453 0.6601 0.044 0.164 0.000 0.000 0.000 0.792
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.5996 0.2560 0.036 0.000 0.000 0.108 0.500 0.356
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0547 0.8849 0.000 0.980 0.000 0.000 0.000 0.020
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0146 0.8894 0.000 0.996 0.000 0.004 0.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.3737 0.5931 0.000 0.392 0.000 0.608 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0806 0.7152 0.972 0.000 0.000 0.008 0.000 0.020
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.7311 1.000 0.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.1594 0.7231 0.932 0.000 0.000 0.016 0.000 0.052
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.8908 0.000 1.000 0.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.1074 0.7068 0.960 0.000 0.000 0.012 0.000 0.028
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.7311 1.000 0.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0717 0.8820 0.000 0.976 0.000 0.000 0.016 0.008
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0622 0.8860 0.000 0.980 0.000 0.000 0.008 0.012
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0363 0.8885 0.000 0.988 0.000 0.000 0.000 0.012
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.8908 0.000 1.000 0.000 0.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.6580 0.2699 0.000 0.544 0.000 0.188 0.108 0.160
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.2854 0.8636 0.000 0.208 0.000 0.792 0.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0260 0.8874 0.000 0.992 0.000 0.008 0.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.8908 0.000 1.000 0.000 0.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0508 0.8875 0.000 0.984 0.000 0.000 0.004 0.012
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.8908 0.000 1.000 0.000 0.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.8661 -0.1086 0.000 0.312 0.240 0.160 0.116 0.172
#> A280A4AF-0687-40CA-8804-C6173B33E732 6 0.4472 0.7075 0.088 0.000 0.000 0.020 0.152 0.740
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.2941 0.8521 0.000 0.220 0.000 0.780 0.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0632 0.7310 0.976 0.000 0.000 0.000 0.000 0.024
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.8861 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.8908 0.000 1.000 0.000 0.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.2793 0.8635 0.000 0.200 0.000 0.800 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.2667 0.6852 0.000 0.128 0.000 0.020 0.852 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0820 0.8756 0.000 0.972 0.000 0.016 0.012 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.8861 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "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 17630 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 5.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.969 0.988 0.4865 0.513 0.513
#> 3 3 1.000 0.977 0.991 0.3426 0.795 0.615
#> 4 4 0.962 0.915 0.961 0.1141 0.895 0.711
#> 5 5 0.945 0.917 0.963 0.0719 0.933 0.761
#> 6 6 0.894 0.833 0.917 0.0472 0.949 0.779
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
#> attr(,"optional")
#> [1] 2 3 4
There is also optional best \(k\) = 2 3 4 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9912 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9827 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9912 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9912 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.9912 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9912 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.9827 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9827 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.9912 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9912 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9827 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9827 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9827 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 1 0.9732 0.3368 0.596 0.404
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.9912 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9912 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.9912 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9827 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9912 0.000 1.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9827 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9912 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.9912 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9827 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9827 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.9912 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9912 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.9912 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9827 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.9912 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.0000 0.9827 1.000 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9827 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 1 0.0000 0.9827 1.000 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9827 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.9912 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9827 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.9912 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9912 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.9827 1.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9912 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.9912 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.9912 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.9912 0.000 1.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.8861 0.5593 0.304 0.696
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9827 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.9827 1.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0000 0.9912 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.9912 0.000 1.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.9912 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9827 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9827 1.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.2043 0.9515 0.968 0.032
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.9912 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.9912 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.9912 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0000 0.9912 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9912 0.000 1.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.9912 0.000 1.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.9912 0.000 1.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9827 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9827 1.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.9912 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0000 0.9912 0.000 1.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9912 0.000 1.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.9912 0.000 1.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.9912 0.000 1.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.9912 0.000 1.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0000 0.9912 0.000 1.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.9912 0.000 1.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.0000 0.9912 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9827 1.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.9827 1.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.9912 0.000 1.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9827 1.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9912 0.000 1.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9827 1.000 0.000
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#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9912 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.9912 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9827 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9827 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9912 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9827 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9912 0.000 1.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.9912 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9827 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.9912 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9827 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9912 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.9912 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.0000 0.9827 1.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9827 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9912 0.000 1.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.9909 0.2195 0.556 0.444
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.9912 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9827 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9827 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9827 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9912 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9827 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9827 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9912 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9912 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9912 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9912 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.9912 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.9912 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9912 0.000 1.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9912 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9912 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9912 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.9912 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9827 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.9912 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9827 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.9912 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9912 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.9912 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.7883 0.6875 0.236 0.764
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9912 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.9912 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.989 0.000 1.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.992 1.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.989 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.989 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.6111 0.351 0.000 0.604 0.396
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.989 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0237 0.988 0.996 0.004 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.992 1.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.989 0.000 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.989 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.992 1.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.992 1.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.992 1.000 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.989 0.000 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.0000 0.989 0.000 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.989 0.000 1.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.989 0.000 1.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.992 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.989 0.000 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.992 1.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.989 0.000 1.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.989 0.000 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.992 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.992 1.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0000 0.989 0.000 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.989 0.000 1.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.989 0.000 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.992 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.989 0.000 1.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.0000 0.992 1.000 0.000 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.992 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.0237 0.985 0.004 0.000 0.996
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.992 1.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.0000 0.989 0.000 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.992 1.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.989 0.000 1.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.989 0.000 1.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.992 1.000 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.989 0.000 1.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.989 0.000 1.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.989 0.000 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 3 0.0000 0.989 0.000 0.000 1.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0000 0.989 0.000 1.000 0.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.992 1.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.992 1.000 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.0000 0.989 0.000 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.989 0.000 1.000 0.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.989 0.000 1.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.992 1.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.992 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.5559 0.740 0.780 0.192 0.028
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.989 0.000 1.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.989 0.000 1.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.989 0.000 1.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.0000 0.989 0.000 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.989 0.000 1.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.989 0.000 1.000 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.989 0.000 1.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.992 1.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.992 1.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.989 0.000 1.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0000 0.989 0.000 1.000 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.989 0.000 1.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 3 0.0000 0.989 0.000 0.000 1.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.989 0.000 1.000 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.989 0.000 1.000 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0000 0.989 0.000 1.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.989 0.000 1.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.989 0.000 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.992 1.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.992 1.000 0.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.989 0.000 1.000 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.992 1.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.989 0.000 1.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.992 1.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 3 0.0237 0.985 0.000 0.004 0.996
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.992 1.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.989 0.000 1.000 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.989 0.000 1.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.992 1.000 0.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 3 0.0000 0.989 0.000 0.000 1.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.992 1.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.0000 0.989 0.000 0.000 1.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.989 0.000 1.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 3 0.0000 0.989 0.000 0.000 1.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.989 0.000 1.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.989 0.000 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.0000 0.992 1.000 0.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.989 0.000 1.000 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.989 0.000 1.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.989 0.000 1.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.3941 0.805 0.156 0.844 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.989 0.000 1.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.0000 0.989 0.000 0.000 1.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.992 1.000 0.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.0000 0.989 0.000 0.000 1.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 1 0.0000 0.992 1.000 0.000 0.000
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.0000 0.989 0.000 1.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.992 1.000 0.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.989 0.000 1.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 1 0.1411 0.957 0.964 0.000 0.036
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.992 1.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.992 1.000 0.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.0000 0.989 0.000 1.000 0.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.6095 0.361 0.000 0.608 0.392
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.989 0.000 1.000 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.989 0.000 1.000 0.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.3340 0.859 0.000 0.880 0.120
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.0000 0.989 0.000 0.000 1.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.992 1.000 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.992 1.000 0.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 3 0.0000 0.989 0.000 0.000 1.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.0000 0.989 0.000 0.000 1.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.992 1.000 0.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.992 1.000 0.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.992 1.000 0.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0000 0.989 0.000 1.000 0.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.989 0.000 0.000 1.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.989 0.000 0.000 1.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 2 0.0000 0.989 0.000 1.000 0.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.0000 0.992 1.000 0.000 0.000
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.0000 0.992 1.000 0.000 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.0000 0.992 1.000 0.000 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.0000 0.989 0.000 1.000 0.000
#> 113340B4-B092-4B8C-8A13-5932525B0C33 1 0.0000 0.992 1.000 0.000 0.000
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 3 0.0000 0.989 0.000 0.000 1.000
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.0000 0.989 0.000 1.000 0.000
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 3 0.0000 0.989 0.000 0.000 1.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0000 0.992 1.000 0.000 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.0000 0.992 1.000 0.000 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.0000 0.992 1.000 0.000 0.000
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 3 0.0000 0.989 0.000 0.000 1.000
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0000 0.992 1.000 0.000 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.0000 0.989 0.000 1.000 0.000
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 2 0.0000 0.989 0.000 1.000 0.000
#> A0A24949-483B-4250-B11E-2BCE49F302AC 3 0.0000 0.989 0.000 0.000 1.000
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cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.3873 0.6802 0.000 0.772 0.000 0.228
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.1284 0.8941 0.000 0.012 0.024 0.964
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.1389 0.9395 0.952 0.048 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.2816 0.9036 0.900 0.064 0.000 0.036
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.4522 0.5468 0.000 0.000 0.320 0.680
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.4996 0.0104 0.484 0.000 0.000 0.516
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.4998 -0.0490 0.000 0.000 0.512 0.488
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.1118 0.9633 0.964 0.000 0.000 0.036
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.4543 0.5232 0.000 0.000 0.324 0.676
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.4941 0.2192 0.000 0.564 0.000 0.436
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.1118 0.9633 0.964 0.000 0.000 0.036
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.4746 0.4154 0.000 0.368 0.000 0.632
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.1940 0.8812 0.000 0.076 0.000 0.924
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 3 0.7862 0.1272 0.296 0.308 0.396 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.4898 0.3393 0.000 0.000 0.416 0.584
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 3 0.0188 0.9594 0.000 0.004 0.996 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 4 0.4933 0.2504 0.000 0.432 0.000 0.568
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.4830 0.3633 0.000 0.392 0.000 0.608
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.1118 0.9633 0.964 0.000 0.000 0.036
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.1118 0.8830 0.000 0.000 0.036 0.964
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.1118 0.9633 0.964 0.000 0.000 0.036
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.4955 0.2613 0.000 0.000 0.444 0.556
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 3 0.0592 0.9476 0.000 0.016 0.984 0.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.1118 0.9633 0.964 0.000 0.000 0.036
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.1118 0.9633 0.964 0.000 0.000 0.036
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.3801 0.7014 0.000 0.000 0.220 0.780
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 1 0.1118 0.9633 0.964 0.000 0.000 0.036
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 1 0.3764 0.7248 0.784 0.000 0.216 0.000
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.4713 0.4078 0.000 0.640 0.360 0.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.4008 0.6518 0.000 0.756 0.244 0.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0592 0.9741 0.984 0.000 0.000 0.016
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.1118 0.8830 0.000 0.000 0.036 0.964
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 113340B4-B092-4B8C-8A13-5932525B0C33 1 0.1118 0.9633 0.964 0.000 0.000 0.036
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 4 0.4998 0.1186 0.000 0.000 0.488 0.512
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 3 0.4730 0.3641 0.000 0.000 0.636 0.364
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> A0A24949-483B-4250-B11E-2BCE49F302AC 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 4 0.3074 0.7820 0.000 0.000 0.152 0.848
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 7604968C-689A-458D-96BA-33B163B238F8 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 2E040577-EA0C-4876-9F43-A180DA38F733 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 9C30E1C0-1ADE-460B-B53D-297CCA80C071 4 0.4431 0.5750 0.000 0.000 0.304 0.696
#> 4FE5EDE2-7790-4A75-9BB6-93260A8154A0 2 0.4907 0.1842 0.000 0.580 0.000 0.420
#> A4821960-9921-4B07-98CE-C4FDCA15146D 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 8DA59514-8B25-493E-B226-818F2521B5D5 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> C9EE359E-2F42-4D20-880D-FBF8B4953731 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> F90967A5-96C6-4669-BCFB-0C51F539B0E7 2 0.3610 0.7242 0.000 0.800 0.200 0.000
#> 2482156E-29A8-4B6B-91BD-219EAC9229B5 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 4EA4A8AE-581A-4170-8062-99645CB41337 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> C584D193-A7DD-43B1-93ED-C46F4E3313F0 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 2FBF997D-B138-4BB4-B51E-81CEF9C0C8A3 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 0AF0D126-507C-4DE1-B9A2-A1B8F0A089FB 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 077523A7-E1C9-4E9F-8C9F-B9F647B4DF7C 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 32CED7C6-C413-4B5C-8A49-8AA2C97E582D 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 66FF1C46-83F0-4EEC-9871-448C8C7EA3AE 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 89BE4270-8300-424E-A248-A0B00C3F5C1A 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 0F8BE394-BA6A-401C-87D0-9B3CF50FB0C8 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 008AE101-874B-4EB6-B811-3945E5ECCFD9 1 0.0707 0.9721 0.980 0.000 0.000 0.020
#> 67B5E93E-6F06-4247-86DD-A914279EFFC5 4 0.1118 0.9134 0.000 0.036 0.000 0.964
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#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9822 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9635 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.1118 0.9134 0.000 0.036 0.000 0.964
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.4585 0.4884 0.000 0.332 0.000 0.668
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9663 0.000 1.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9635 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.2852 0.7872 0.000 0.828 0.000 0.172 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0290 0.9580 0.992 0.008 0.000 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.0000 0.9342 0.000 0.000 0.000 0.000 1.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0404 0.9643 0.988 0.000 0.000 0.000 0.012
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.2020 0.9140 0.900 0.000 0.000 0.000 0.100
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.3661 0.6154 0.000 0.000 0.276 0.724 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.0000 0.9342 0.000 0.000 0.000 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.3508 0.6289 0.252 0.000 0.748 0.000 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.4297 0.0862 0.000 0.000 0.528 0.472 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.4192 0.3587 0.404 0.000 0.000 0.000 0.596
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.5885 0.3825 0.000 0.000 0.132 0.296 0.572
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.0566 0.9225 0.000 0.012 0.000 0.004 0.984
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.0000 0.9342 0.000 0.000 0.000 0.000 1.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.2645 0.8430 0.000 0.044 0.000 0.068 0.888
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0404 0.9642 0.988 0.000 0.000 0.000 0.012
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.2424 0.8153 0.868 0.132 0.000 0.000 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.4192 0.3299 0.000 0.000 0.404 0.596 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 3 0.1043 0.9053 0.000 0.040 0.960 0.000 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 4 0.3796 0.5432 0.000 0.300 0.000 0.700 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.2424 0.7876 0.000 0.132 0.000 0.868 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0703 0.9623 0.976 0.000 0.000 0.000 0.024
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.0000 0.9342 0.000 0.000 0.000 0.000 1.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.2179 0.9121 0.888 0.000 0.000 0.000 0.112
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 5 0.2020 0.8533 0.100 0.000 0.000 0.000 0.900
#> 800E78BA-08BE-463B-ABBA-45255B48362B 3 0.4304 0.0372 0.000 0.000 0.516 0.484 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0703 0.9624 0.976 0.000 0.000 0.000 0.024
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 3 0.0162 0.9453 0.000 0.004 0.996 0.000 0.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.0000 0.9342 0.000 0.000 0.000 0.000 1.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.0000 0.9342 0.000 0.000 0.000 0.000 1.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.3074 0.7421 0.000 0.000 0.196 0.804 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.0000 0.9342 0.000 0.000 0.000 0.000 1.000
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 1 0.2193 0.9127 0.900 0.000 0.008 0.000 0.092
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.4015 0.4436 0.000 0.652 0.348 0.000 0.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.2471 0.8179 0.000 0.864 0.136 0.000 0.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 5 0.3508 0.6373 0.252 0.000 0.000 0.000 0.748
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.1908 0.9265 0.908 0.000 0.000 0.000 0.092
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.2179 0.9121 0.888 0.000 0.000 0.000 0.112
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 113340B4-B092-4B8C-8A13-5932525B0C33 5 0.0000 0.9342 0.000 0.000 0.000 0.000 1.000
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 3 0.4287 0.1292 0.000 0.000 0.540 0.460 0.000
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 3 0.3857 0.5240 0.000 0.000 0.688 0.312 0.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.2074 0.9180 0.896 0.000 0.000 0.000 0.104
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.1410 0.9456 0.940 0.000 0.000 0.000 0.060
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> A0A24949-483B-4250-B11E-2BCE49F302AC 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 4 0.2424 0.8149 0.000 0.000 0.132 0.868 0.000
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.2020 0.9209 0.900 0.000 0.000 0.000 0.100
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 2 0.0162 0.9769 0.004 0.996 0.000 0.000 0.000
#> 7604968C-689A-458D-96BA-33B163B238F8 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 2E040577-EA0C-4876-9F43-A180DA38F733 1 0.2179 0.9121 0.888 0.000 0.000 0.000 0.112
#> 9C30E1C0-1ADE-460B-B53D-297CCA80C071 4 0.3452 0.6702 0.000 0.000 0.244 0.756 0.000
#> 4FE5EDE2-7790-4A75-9BB6-93260A8154A0 2 0.4249 0.2020 0.000 0.568 0.000 0.432 0.000
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#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.1851 0.9255 0.912 0.000 0.000 0.000 0.088
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.0510 0.9521 0.984 0.016 0.000 0.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.2561 0.8810 0.856 0.000 0.000 0.000 0.144
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0880 0.9114 0.000 0.032 0.000 0.968 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.3109 0.7155 0.000 0.200 0.800 0.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9621 1.000 0.000 0.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0510 0.9645 0.984 0.000 0.000 0.000 0.016
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9493 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.0510 0.9206 0.000 0.000 0.000 0.016 0.984
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9806 0.000 1.000 0.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9493 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.3851 0.3950 0.540 0.000 0.000 0.000 0.000 0.460
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0363 0.9642 0.000 0.988 0.000 0.000 0.000 0.012
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.2877 0.7826 0.000 0.820 0.000 0.168 0.000 0.012
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0146 0.9662 0.000 0.996 0.000 0.000 0.000 0.004
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.0713 0.8480 0.028 0.000 0.000 0.000 0.000 0.972
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.0291 0.9015 0.004 0.000 0.000 0.000 0.992 0.004
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0547 0.9622 0.000 0.980 0.000 0.000 0.000 0.020
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.2762 0.7605 0.804 0.000 0.000 0.000 0.000 0.196
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 6 0.4129 0.4390 0.424 0.000 0.000 0.000 0.012 0.564
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 6 0.1007 0.8585 0.044 0.000 0.000 0.000 0.000 0.956
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.2378 0.8365 0.000 0.848 0.000 0.000 0.000 0.152
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.3592 0.4539 0.000 0.000 0.344 0.656 0.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.3050 0.7430 0.764 0.000 0.000 0.000 0.000 0.236
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0547 0.9622 0.000 0.980 0.000 0.000 0.000 0.020
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 6 0.1444 0.8438 0.072 0.000 0.000 0.000 0.000 0.928
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0363 0.9642 0.000 0.988 0.000 0.000 0.000 0.012
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.3592 0.6048 0.656 0.000 0.000 0.000 0.000 0.344
#> B7A23896-4182-48D3-A1D9-92C781BF283F 6 0.3782 0.0831 0.412 0.000 0.000 0.000 0.000 0.588
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.3050 0.7430 0.764 0.000 0.000 0.000 0.000 0.236
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.0000 0.9040 0.000 0.000 0.000 0.000 1.000 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.1267 0.7817 0.940 0.000 0.000 0.000 0.000 0.060
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 6 0.1745 0.8063 0.012 0.000 0.068 0.000 0.000 0.920
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.3050 0.7430 0.764 0.000 0.000 0.000 0.000 0.236
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.3747 0.3625 0.000 0.000 0.604 0.396 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0937 0.7799 0.960 0.000 0.000 0.000 0.000 0.040
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0146 0.9662 0.000 0.996 0.000 0.000 0.000 0.004
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.4899 -0.0249 0.060 0.000 0.000 0.000 0.488 0.452
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.2712 0.7855 0.000 0.000 0.088 0.048 0.864 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.0146 0.9021 0.000 0.004 0.000 0.000 0.996 0.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.0146 0.9029 0.004 0.000 0.000 0.000 0.996 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 6 0.1007 0.8585 0.044 0.000 0.000 0.000 0.000 0.956
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.1418 0.8662 0.000 0.024 0.000 0.032 0.944 0.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.0909 0.9258 0.000 0.012 0.000 0.968 0.000 0.020
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.3050 0.7430 0.764 0.000 0.000 0.000 0.000 0.236
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.2793 0.7556 0.800 0.000 0.000 0.000 0.000 0.200
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 6 0.1421 0.8362 0.028 0.028 0.000 0.000 0.000 0.944
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.3869 0.0297 0.000 0.000 0.500 0.500 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.0717 0.9325 0.000 0.008 0.000 0.976 0.000 0.016
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.3050 0.7430 0.764 0.000 0.000 0.000 0.000 0.236
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 6 0.2883 0.7144 0.212 0.000 0.000 0.000 0.000 0.788
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 3 0.1391 0.8901 0.000 0.040 0.944 0.000 0.000 0.016
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 4 0.3364 0.6774 0.000 0.196 0.000 0.780 0.000 0.024
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.2094 0.8455 0.000 0.080 0.000 0.900 0.000 0.020
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0547 0.9622 0.000 0.980 0.000 0.000 0.000 0.020
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.3050 0.7430 0.764 0.000 0.000 0.000 0.000 0.236
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.0146 0.9029 0.004 0.000 0.000 0.000 0.996 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.3868 0.2607 0.508 0.000 0.000 0.000 0.000 0.492
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0146 0.9662 0.000 0.996 0.000 0.000 0.000 0.004
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.1285 0.7591 0.944 0.000 0.000 0.000 0.052 0.004
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.3050 0.7430 0.764 0.000 0.000 0.000 0.000 0.236
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0547 0.9622 0.000 0.980 0.000 0.000 0.000 0.020
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 5 0.4468 0.5876 0.212 0.000 0.000 0.000 0.696 0.092
#> 800E78BA-08BE-463B-ABBA-45255B48362B 3 0.3563 0.5000 0.000 0.000 0.664 0.336 0.000 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0291 0.7733 0.992 0.000 0.000 0.000 0.004 0.004
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 3 0.0547 0.9264 0.000 0.020 0.980 0.000 0.000 0.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.0000 0.9040 0.000 0.000 0.000 0.000 1.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0363 0.9642 0.000 0.988 0.000 0.000 0.000 0.012
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0458 0.9629 0.000 0.984 0.000 0.000 0.000 0.016
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.0937 0.9520 0.000 0.960 0.000 0.000 0.000 0.040
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.0547 0.8952 0.020 0.000 0.000 0.000 0.980 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.2793 0.7300 0.000 0.000 0.200 0.800 0.000 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.0000 0.9040 0.000 0.000 0.000 0.000 1.000 0.000
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.1007 0.9507 0.000 0.956 0.000 0.000 0.000 0.044
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.3023 0.7448 0.768 0.000 0.000 0.000 0.000 0.232
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 6 0.3586 0.6640 0.268 0.000 0.000 0.000 0.012 0.720
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.2664 0.7619 0.816 0.000 0.000 0.000 0.000 0.184
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 6 0.1007 0.8585 0.044 0.000 0.000 0.000 0.000 0.956
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#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.3737 0.5195 0.608 0.000 0.000 0.000 0.000 0.392
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0458 0.9629 0.000 0.984 0.000 0.000 0.000 0.016
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0363 0.9642 0.000 0.988 0.000 0.000 0.000 0.012
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.2793 0.7300 0.000 0.000 0.200 0.800 0.000 0.000
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.3823 0.4483 0.564 0.000 0.000 0.000 0.000 0.436
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.1152 0.7626 0.952 0.000 0.000 0.000 0.044 0.004
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> D902E43A-F384-432A-B690-D20BFCC78443 5 0.0146 0.9021 0.000 0.004 0.000 0.000 0.996 0.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.2300 0.8503 0.000 0.856 0.000 0.000 0.000 0.144
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 6 0.1007 0.8585 0.044 0.000 0.000 0.000 0.000 0.956
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.0000 0.9040 0.000 0.000 0.000 0.000 1.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.1910 0.8244 0.108 0.000 0.000 0.000 0.892 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 4 0.0806 0.9299 0.000 0.008 0.000 0.972 0.000 0.020
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 6 0.1714 0.8316 0.092 0.000 0.000 0.000 0.000 0.908
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.2854 0.7545 0.792 0.000 0.000 0.000 0.000 0.208
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 6 0.3371 0.6623 0.292 0.000 0.000 0.000 0.000 0.708
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.1285 0.7591 0.944 0.000 0.000 0.000 0.052 0.004
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 5 0.1863 0.8106 0.000 0.000 0.000 0.104 0.896 0.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.0000 0.9040 0.000 0.000 0.000 0.000 1.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.1074 0.9479 0.000 0.960 0.000 0.000 0.012 0.028
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.1219 0.7610 0.948 0.000 0.000 0.000 0.048 0.004
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0458 0.9629 0.000 0.984 0.000 0.000 0.000 0.016
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.1219 0.7610 0.948 0.000 0.000 0.000 0.048 0.004
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.3050 0.7430 0.764 0.000 0.000 0.000 0.000 0.236
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0632 0.9564 0.000 0.976 0.000 0.000 0.000 0.024
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.3050 0.7430 0.764 0.000 0.000 0.000 0.000 0.236
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.1267 0.7815 0.940 0.000 0.000 0.000 0.000 0.060
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 3 0.3014 0.7200 0.000 0.184 0.804 0.000 0.000 0.012
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.3847 0.1882 0.000 0.000 0.544 0.456 0.000 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.1492 0.8711 0.036 0.000 0.000 0.000 0.940 0.024
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0146 0.9662 0.000 0.996 0.000 0.000 0.000 0.004
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.3050 0.7430 0.764 0.000 0.000 0.000 0.000 0.236
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.0000 0.9040 0.000 0.000 0.000 0.000 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.3023 0.6795 0.000 0.000 0.232 0.768 0.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.1501 0.7796 0.924 0.000 0.000 0.000 0.000 0.076
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.3307 0.6554 0.820 0.000 0.000 0.000 0.108 0.072
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0547 0.9622 0.000 0.980 0.000 0.000 0.000 0.020
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 6 0.4076 0.3868 0.452 0.000 0.000 0.000 0.008 0.540
#> 0636DD62-C493-47CC-A120-9759FB6980CD 6 0.2491 0.7877 0.164 0.000 0.000 0.000 0.000 0.836
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 6 0.2219 0.7832 0.136 0.000 0.000 0.000 0.000 0.864
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0547 0.9622 0.000 0.980 0.000 0.000 0.000 0.020
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 6 0.1501 0.8431 0.076 0.000 0.000 0.000 0.000 0.924
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.3076 0.7433 0.760 0.000 0.000 0.000 0.000 0.240
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0547 0.9622 0.000 0.980 0.000 0.000 0.000 0.020
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 6 0.0547 0.8478 0.020 0.000 0.000 0.000 0.000 0.980
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.5432 -0.1255 0.500 0.000 0.000 0.000 0.124 0.376
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0865 0.9555 0.000 0.964 0.000 0.000 0.000 0.036
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0632 0.9564 0.000 0.976 0.000 0.000 0.000 0.024
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.1007 0.9067 0.000 0.044 0.000 0.956 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.3620 0.5912 0.648 0.000 0.000 0.000 0.000 0.352
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.3050 0.7430 0.764 0.000 0.000 0.000 0.000 0.236
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.1267 0.7815 0.940 0.000 0.000 0.000 0.000 0.060
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0146 0.9662 0.000 0.996 0.000 0.000 0.000 0.004
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.3823 0.4191 0.564 0.000 0.000 0.000 0.000 0.436
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.3050 0.7430 0.764 0.000 0.000 0.000 0.000 0.236
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0458 0.9629 0.000 0.984 0.000 0.000 0.000 0.016
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0547 0.9622 0.000 0.980 0.000 0.000 0.000 0.020
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0547 0.9622 0.000 0.980 0.000 0.000 0.000 0.020
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.2854 0.7016 0.000 0.208 0.792 0.000 0.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0363 0.9642 0.000 0.988 0.000 0.000 0.000 0.012
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0547 0.9622 0.000 0.980 0.000 0.000 0.000 0.020
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 6 0.1204 0.8546 0.056 0.000 0.000 0.000 0.000 0.944
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.1957 0.7757 0.888 0.000 0.000 0.000 0.000 0.112
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.9508 0.000 0.000 0.000 1.000 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.0000 0.9040 0.000 0.000 0.000 0.000 1.000 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9668 0.000 1.000 0.000 0.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9443 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "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 17630 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 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 0.980 0.987 0.4638 0.533 0.533
#> 3 3 0.941 0.948 0.977 0.2821 0.878 0.772
#> 4 4 0.777 0.712 0.870 0.1966 0.834 0.614
#> 5 5 0.772 0.696 0.873 0.0733 0.944 0.800
#> 6 6 0.823 0.766 0.876 0.0650 0.901 0.610
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0938 0.993 0.012 0.988
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.6623 0.799 0.828 0.172
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0938 0.993 0.012 0.988
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0938 0.993 0.012 0.988
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0938 0.993 0.012 0.988
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#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 2 0.2778 0.960 0.048 0.952
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.1633 0.984 0.024 0.976
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.984 1.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.984 1.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.0000 0.984 1.000 0.000
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0376 0.981 0.996 0.004
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0938 0.993 0.012 0.988
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0376 0.990 0.004 0.996
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 2 0.1843 0.980 0.028 0.972
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0938 0.993 0.012 0.988
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.984 1.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 2 0.0000 0.988 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.984 1.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0938 0.993 0.012 0.988
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0938 0.993 0.012 0.988
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 2 0.0000 0.988 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.0000 0.988 0.000 1.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0938 0.993 0.012 0.988
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.0376 0.990 0.004 0.996
#> AE988295-3046-4778-81C5-B787CAC92268 2 0.0000 0.988 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.0000 0.988 0.000 1.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 2 0.0000 0.988 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.6247 0.821 0.844 0.156
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 2 0.0000 0.988 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 1 0.3879 0.925 0.924 0.076
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0938 0.993 0.012 0.988
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0938 0.993 0.012 0.988
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.984 1.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.0000 0.988 0.000 1.000
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.2778 0.960 0.048 0.952
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0938 0.993 0.012 0.988
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0938 0.993 0.012 0.988
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0938 0.993 0.012 0.988
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.0000 0.988 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.984 1.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.984 1.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.984 1.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0938 0.993 0.012 0.988
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.2603 0.965 0.044 0.956
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.984 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.0938 0.993 0.012 0.988
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.984 1.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0938 0.993 0.012 0.988
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.984 1.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0938 0.993 0.012 0.988
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.1843 0.980 0.028 0.972
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.7674 0.725 0.224 0.776
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0938 0.993 0.012 0.988
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.984 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0938 0.993 0.012 0.988
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.984 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0938 0.993 0.012 0.988
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0376 0.990 0.004 0.996
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.984 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0938 0.993 0.012 0.988
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.984 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0938 0.993 0.012 0.988
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.984 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0938 0.993 0.012 0.988
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.988 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.2948 0.956 0.052 0.948
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0938 0.993 0.012 0.988
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.984 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.984 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0376 0.990 0.004 0.996
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.984 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0938 0.993 0.012 0.988
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0938 0.993 0.012 0.988
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.984 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0938 0.993 0.012 0.988
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.988 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0938 0.993 0.012 0.988
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.988 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.984 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.984 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0938 0.993 0.012 0.988
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.984 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0938 0.993 0.012 0.988
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.988 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.8207 0.665 0.256 0.744
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0938 0.993 0.012 0.988
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.984 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0938 0.993 0.012 0.988
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0938 0.993 0.012 0.988
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.0938 0.993 0.012 0.988
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.984 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0938 0.993 0.012 0.988
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0938 0.993 0.012 0.988
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0938 0.993 0.012 0.988
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.984 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.984 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.984 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0938 0.993 0.012 0.988
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.984 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.984 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0938 0.993 0.012 0.988
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0938 0.993 0.012 0.988
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0938 0.993 0.012 0.988
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0938 0.993 0.012 0.988
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0938 0.993 0.012 0.988
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0938 0.993 0.012 0.988
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0938 0.993 0.012 0.988
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0938 0.993 0.012 0.988
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0938 0.993 0.012 0.988
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0938 0.993 0.012 0.988
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.988 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0376 0.981 0.996 0.004
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0938 0.993 0.012 0.988
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.984 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.988 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0938 0.993 0.012 0.988
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0938 0.993 0.012 0.988
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.1184 0.991 0.016 0.984
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0938 0.993 0.012 0.988
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.988 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.971 0.000 1.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.4750 0.708 0.784 0.216 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.971 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.971 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.971 0.000 1.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.971 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.0000 0.971 0.000 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.4002 0.788 0.840 0.160 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.998 0.000 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.971 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.3551 0.826 0.868 0.132 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.970 1.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.1411 0.937 0.964 0.036 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.971 0.000 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.2165 0.921 0.000 0.936 0.064
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.971 0.000 1.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.971 0.000 1.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.970 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.971 0.000 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0424 0.964 0.992 0.008 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.971 0.000 1.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.998 0.000 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.970 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.970 1.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0000 0.998 0.000 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.971 0.000 1.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.5216 0.686 0.000 0.740 0.260
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.970 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.971 0.000 1.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.1529 0.934 0.960 0.040 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.970 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 1 0.3816 0.801 0.852 0.148 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.970 1.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.5706 0.580 0.000 0.680 0.320
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.970 1.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.971 0.000 1.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.971 0.000 1.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.1753 0.925 0.952 0.048 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.971 0.000 1.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.971 0.000 1.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.998 0.000 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.971 0.000 1.000 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.1031 0.950 0.024 0.976 0.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.970 1.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.1289 0.941 0.968 0.032 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.1964 0.928 0.000 0.944 0.056
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.971 0.000 1.000 0.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0237 0.968 0.000 0.996 0.004
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.970 1.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.970 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.0237 0.968 0.004 0.996 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.971 0.000 1.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.971 0.000 1.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.971 0.000 1.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.4702 0.757 0.000 0.788 0.212
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.971 0.000 1.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.971 0.000 1.000 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.971 0.000 1.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.970 1.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.970 1.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.971 0.000 1.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0000 0.971 0.000 1.000 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.971 0.000 1.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0237 0.968 0.000 0.996 0.004
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.971 0.000 1.000 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.971 0.000 1.000 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0000 0.971 0.000 1.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.971 0.000 1.000 0.000
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#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.970 1.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.971 0.000 1.000 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.970 1.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.971 0.000 1.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.0592 0.961 0.012 0.988 0.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.4555 0.732 0.200 0.800 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0000 0.971 0.000 1.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.970 1.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.971 0.000 1.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.970 1.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.971 0.000 1.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.1964 0.928 0.000 0.944 0.056
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.970 1.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.971 0.000 1.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.970 1.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.971 0.000 1.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.970 1.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.971 0.000 1.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.5291 0.673 0.000 0.732 0.268
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.1964 0.919 0.056 0.944 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.971 0.000 1.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.970 1.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.970 1.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.4291 0.799 0.000 0.820 0.180
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.970 1.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.971 0.000 1.000 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.971 0.000 1.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.970 1.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.971 0.000 1.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.998 0.000 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.971 0.000 1.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.998 0.000 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.970 1.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.970 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.971 0.000 1.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.970 1.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.971 0.000 1.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.998 0.000 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.5098 0.651 0.248 0.752 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.971 0.000 1.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.970 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.971 0.000 1.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.971 0.000 1.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.0000 0.971 0.000 1.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.970 1.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.971 0.000 1.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.971 0.000 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.971 0.000 1.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.970 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.970 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.970 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.971 0.000 1.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.970 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.970 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.971 0.000 1.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.971 0.000 1.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.971 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.971 0.000 1.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.971 0.000 1.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.971 0.000 1.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.971 0.000 1.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.971 0.000 1.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.971 0.000 1.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.971 0.000 1.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.4842 0.739 0.000 0.776 0.224
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0592 0.960 0.988 0.012 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.971 0.000 1.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.970 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.998 0.000 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.971 0.000 1.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.971 0.000 1.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.971 0.000 1.000 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.971 0.000 1.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.998 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.4991 0.32191 0.388 0.608 0.000 0.004
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0707 0.78657 0.000 0.980 0.000 0.020
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.3074 0.62308 0.000 0.848 0.000 0.152
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.1557 0.64793 0.000 0.056 0.000 0.944
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.2868 0.64310 0.000 0.864 0.000 0.136
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.0376 0.79658 0.004 0.992 0.000 0.004
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 2 0.6532 0.30483 0.092 0.572 0.000 0.336
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.88473 0.000 0.000 1.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.5000 0.03152 0.496 0.504 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.1022 0.93643 0.968 0.032 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.1890 0.64360 0.000 0.056 0.008 0.936
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0469 0.79479 0.000 0.988 0.000 0.012
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.4955 0.45763 0.000 0.444 0.000 0.556
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.1109 0.95095 0.968 0.004 0.000 0.028
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.88473 0.000 0.000 1.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.2281 0.52895 0.000 0.000 0.096 0.904
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.1798 0.59746 0.000 0.016 0.040 0.944
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.1474 0.94475 0.948 0.000 0.000 0.052
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.4948 0.10896 0.000 0.440 0.000 0.560
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.7808 0.02798 0.256 0.344 0.000 0.400
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 1 0.4776 0.71402 0.776 0.060 0.000 0.164
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.6023 0.50851 0.000 0.344 0.056 0.600
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.4855 0.29390 0.000 0.600 0.000 0.400
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.1305 0.92974 0.960 0.036 0.000 0.004
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.1557 0.64793 0.000 0.056 0.000 0.944
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.4888 0.49086 0.000 0.000 0.588 0.412
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.1867 0.65127 0.000 0.072 0.000 0.928
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.5268 0.29449 0.012 0.592 0.000 0.396
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0895 0.94346 0.976 0.020 0.000 0.004
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.1792 0.65082 0.000 0.068 0.000 0.932
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.4843 0.30122 0.000 0.604 0.000 0.396
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.4972 0.44622 0.000 0.456 0.000 0.544
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.1389 0.94624 0.952 0.000 0.000 0.048
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.1022 0.95108 0.968 0.000 0.000 0.032
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.5151 -0.30738 0.004 0.532 0.000 0.464
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.2408 0.64393 0.000 0.104 0.000 0.896
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.1792 0.64883 0.000 0.068 0.000 0.932
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.4981 0.03843 0.000 0.464 0.000 0.536
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.1798 0.63071 0.000 0.040 0.016 0.944
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.4981 0.03843 0.000 0.464 0.000 0.536
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.4977 -0.29034 0.000 0.540 0.000 0.460
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0336 0.95601 0.992 0.000 0.000 0.008
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.1557 0.64793 0.000 0.056 0.000 0.944
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.4989 0.01935 0.000 0.472 0.000 0.528
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 4 0.4977 0.44058 0.000 0.460 0.000 0.540
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 4 0.4994 0.36451 0.000 0.480 0.000 0.520
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.4972 -0.27960 0.000 0.544 0.000 0.456
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.1557 0.64793 0.000 0.056 0.000 0.944
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0707 0.78710 0.000 0.980 0.000 0.020
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.4925 0.45523 0.000 0.000 0.572 0.428
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.1022 0.95102 0.968 0.000 0.000 0.032
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.4992 0.41520 0.000 0.476 0.000 0.524
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.2345 0.70212 0.000 0.900 0.000 0.100
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.4972 0.44622 0.000 0.456 0.000 0.544
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.4855 0.29498 0.000 0.600 0.000 0.400
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.1118 0.77839 0.000 0.964 0.000 0.036
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 2 0.6808 0.31893 0.300 0.572 0.000 0.128
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.4972 0.44622 0.000 0.456 0.000 0.544
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0336 0.95601 0.992 0.000 0.000 0.008
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.4933 0.31035 0.568 0.000 0.432 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 4 0.4977 0.44056 0.000 0.460 0.000 0.540
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.88473 0.000 0.000 1.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 2 0.6648 0.27274 0.372 0.536 0.000 0.092
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.2081 0.71875 0.000 0.916 0.000 0.084
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#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 4 0.4967 0.45057 0.000 0.452 0.000 0.548
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.0592 0.78893 0.016 0.984 0.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.5000 -0.06669 0.000 0.500 0.000 0.500
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.4985 0.02782 0.000 0.468 0.000 0.532
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.1557 0.64793 0.000 0.056 0.000 0.944
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.5070 0.26050 0.004 0.580 0.000 0.416
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.5816 0.28144 0.036 0.572 0.000 0.392
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0336 0.95601 0.992 0.000 0.000 0.008
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.1302 0.76453 0.000 0.956 0.000 0.044
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0188 0.95645 0.996 0.000 0.000 0.004
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.3266 0.60724 0.000 0.168 0.000 0.832
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.4972 0.44622 0.000 0.456 0.000 0.544
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.3907 0.55340 0.000 0.768 0.000 0.232
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.1022 0.95102 0.968 0.000 0.000 0.032
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 4 0.4977 0.44056 0.000 0.460 0.000 0.540
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.1767 0.59128 0.000 0.012 0.044 0.944
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.1109 0.77417 0.028 0.968 0.000 0.004
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.4830 0.30746 0.000 0.608 0.000 0.392
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.1722 0.64042 0.000 0.048 0.008 0.944
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.1022 0.95092 0.968 0.000 0.000 0.032
#> EDD5BA86-0402-4002-8040-2B98F43DA758 4 0.4477 0.55349 0.000 0.312 0.000 0.688
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.1637 0.64934 0.000 0.060 0.000 0.940
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.3074 0.62268 0.000 0.152 0.000 0.848
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.3356 0.77230 0.000 0.000 0.824 0.176
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0188 0.79840 0.000 0.996 0.000 0.004
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.88473 0.000 0.000 1.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0188 0.95645 0.996 0.000 0.000 0.004
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.4830 0.30746 0.000 0.608 0.000 0.392
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.88473 0.000 0.000 1.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.5004 0.30373 0.004 0.604 0.000 0.392
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.4250 0.46990 0.000 0.276 0.000 0.724
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.3837 0.46372 0.000 0.776 0.000 0.224
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.1637 0.64917 0.000 0.060 0.000 0.940
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.2411 0.73635 0.040 0.920 0.000 0.040
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.95673 1.000 0.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.1211 0.77515 0.000 0.960 0.000 0.040
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.4843 0.30122 0.000 0.604 0.000 0.396
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0921 0.95191 0.972 0.000 0.000 0.028
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.1557 0.94320 0.944 0.000 0.000 0.056
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.4522 0.18701 0.000 0.680 0.000 0.320
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.1637 0.64934 0.000 0.060 0.000 0.940
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0188 0.79901 0.000 0.996 0.000 0.004
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 4 0.7055 0.42299 0.000 0.396 0.124 0.480
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0657 0.94934 0.984 0.004 0.000 0.012
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.4985 0.03060 0.000 0.468 0.000 0.532
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.1474 0.94475 0.948 0.000 0.000 0.052
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.88473 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.80085 0.000 1.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.1557 0.64793 0.000 0.056 0.000 0.944
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.4830 0.30746 0.000 0.608 0.000 0.392
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1211 0.76841 0.000 0.960 0.000 0.040
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.88473 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.4201 0.26440 0.592 0.408 0.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0703 0.80541 0.000 0.976 0.000 0.024 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.2852 0.62361 0.000 0.828 0.000 0.172 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.62585 0.000 0.000 0.000 1.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.2773 0.62895 0.000 0.836 0.000 0.164 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.0324 0.81831 0.000 0.992 0.000 0.004 0.004
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 2 0.5329 0.36490 0.000 0.596 0.000 0.336 0.068
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0290 0.85629 0.008 0.000 0.992 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.4297 0.09192 0.000 0.528 0.000 0.000 0.472
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.0162 0.92857 0.000 0.004 0.000 0.000 0.996
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.0290 0.62772 0.000 0.008 0.000 0.992 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0404 0.81647 0.000 0.988 0.000 0.012 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.4138 0.51144 0.000 0.384 0.000 0.616 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.3300 0.74260 0.792 0.000 0.000 0.004 0.204
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.86008 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> B7A23896-4182-48D3-A1D9-92C781BF283F 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.1331 0.59032 0.008 0.000 0.040 0.952 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.0290 0.62442 0.008 0.000 0.000 0.992 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 5 0.3366 0.69384 0.232 0.000 0.000 0.000 0.768
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.4242 0.07187 0.000 0.428 0.000 0.572 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.6655 -0.00248 0.000 0.368 0.000 0.404 0.228
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 5 0.3538 0.71963 0.004 0.016 0.000 0.176 0.804
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.4268 0.53829 0.008 0.344 0.000 0.648 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.4171 0.35050 0.000 0.604 0.000 0.396 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.0162 0.92897 0.000 0.000 0.000 0.004 0.996
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.62585 0.000 0.000 0.000 1.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.4538 0.39816 0.008 0.000 0.540 0.452 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.0566 0.62835 0.004 0.012 0.000 0.984 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.4171 0.35050 0.000 0.604 0.000 0.396 0.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 5 0.0162 0.92897 0.000 0.000 0.000 0.004 0.996
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.0566 0.62832 0.004 0.012 0.000 0.984 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.4171 0.35050 0.000 0.604 0.000 0.396 0.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.4171 0.50194 0.000 0.396 0.000 0.604 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0703 0.89275 0.976 0.000 0.000 0.000 0.024
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.1121 0.87924 0.956 0.000 0.000 0.000 0.044
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.4446 -0.28405 0.000 0.520 0.000 0.476 0.004
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.1792 0.61426 0.000 0.084 0.000 0.916 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0703 0.62652 0.000 0.024 0.000 0.976 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.4273 0.01117 0.000 0.448 0.000 0.552 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.0290 0.62442 0.008 0.000 0.000 0.992 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.4273 0.01117 0.000 0.448 0.000 0.552 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.4300 -0.27472 0.000 0.524 0.000 0.476 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.3074 0.75238 0.804 0.000 0.000 0.000 0.196
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.62585 0.000 0.000 0.000 1.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.4283 -0.00818 0.000 0.456 0.000 0.544 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 4 0.4341 0.49285 0.004 0.404 0.000 0.592 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 4 0.4294 0.34047 0.000 0.468 0.000 0.532 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.4294 -0.25440 0.000 0.532 0.000 0.468 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0000 0.62585 0.000 0.000 0.000 1.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0703 0.80601 0.000 0.976 0.000 0.024 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.4552 0.35826 0.008 0.000 0.524 0.468 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.2561 0.79991 0.856 0.000 0.000 0.000 0.144
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.4278 0.42225 0.000 0.452 0.000 0.548 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.2280 0.70327 0.000 0.880 0.000 0.120 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.4171 0.50194 0.000 0.396 0.000 0.604 0.000
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#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 2 0.3305 0.59791 0.000 0.776 0.000 0.224 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.4161 0.35642 0.000 0.608 0.000 0.392 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 5 0.0609 0.92118 0.020 0.000 0.000 0.000 0.980
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 5 0.3689 0.61688 0.000 0.004 0.000 0.256 0.740
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.3480 0.69508 0.752 0.000 0.000 0.000 0.248
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 4 0.4446 0.49646 0.008 0.400 0.000 0.592 0.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 2 0.4310 0.35236 0.004 0.604 0.000 0.392 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.1478 0.77763 0.000 0.936 0.000 0.064 0.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 5 0.0794 0.91572 0.028 0.000 0.000 0.000 0.972
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.86008 0.000 0.000 1.000 0.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.86008 0.000 0.000 1.000 0.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 4 0.5849 0.45966 0.008 0.396 0.076 0.520 0.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0290 0.81854 0.000 0.992 0.000 0.008 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.0162 0.62509 0.004 0.000 0.000 0.996 0.000
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.86008 0.000 0.000 1.000 0.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 4 0.5849 0.45966 0.008 0.396 0.076 0.520 0.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.86008 0.000 0.000 1.000 0.000 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 2 0.4307 0.03041 0.496 0.504 0.000 0.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.86008 0.000 0.000 1.000 0.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.4684 0.39255 0.008 0.000 0.536 0.452 0.004
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.4307 0.33346 0.000 0.496 0.000 0.504 0.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.2020 0.60929 0.000 0.100 0.000 0.900 0.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 4 0.4436 0.50080 0.008 0.396 0.000 0.596 0.000
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.3774 0.49849 0.000 0.704 0.000 0.296 0.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.1121 0.62381 0.000 0.044 0.000 0.956 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.2648 0.65294 0.000 0.848 0.000 0.152 0.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.86008 0.000 0.000 1.000 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.3636 0.57274 0.000 0.272 0.000 0.000 0.728
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 4 0.4171 0.50253 0.000 0.396 0.000 0.604 0.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.0510 0.81148 0.000 0.984 0.000 0.000 0.016
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.4307 -0.12462 0.000 0.496 0.000 0.504 0.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.4283 -0.01060 0.000 0.456 0.000 0.544 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0000 0.62585 0.000 0.000 0.000 1.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.4219 0.31444 0.000 0.584 0.000 0.416 0.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.4161 0.35642 0.000 0.608 0.000 0.392 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 5 0.1341 0.89487 0.056 0.000 0.000 0.000 0.944
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.1197 0.78363 0.000 0.952 0.000 0.048 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 5 0.0510 0.92340 0.016 0.000 0.000 0.000 0.984
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.2690 0.58559 0.000 0.156 0.000 0.844 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.4436 0.50080 0.008 0.396 0.000 0.596 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.3366 0.58739 0.000 0.768 0.000 0.232 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.2690 0.78899 0.844 0.000 0.000 0.000 0.156
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 4 0.4446 0.49646 0.008 0.400 0.000 0.592 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0290 0.62442 0.008 0.000 0.000 0.992 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.0162 0.82058 0.000 0.996 0.000 0.004 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.4161 0.35642 0.000 0.608 0.000 0.392 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.4101 0.34454 0.372 0.000 0.000 0.000 0.628
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0000 0.62585 0.000 0.000 0.000 1.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 5 0.2966 0.75919 0.184 0.000 0.000 0.000 0.816
#> EDD5BA86-0402-4002-8040-2B98F43DA758 4 0.3783 0.58678 0.008 0.252 0.000 0.740 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0162 0.62744 0.000 0.004 0.000 0.996 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.2471 0.59617 0.000 0.136 0.000 0.864 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.3010 0.76132 0.004 0.000 0.824 0.172 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0162 0.82000 0.000 0.996 0.000 0.004 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.86008 0.000 0.000 1.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 5 0.1197 0.90124 0.048 0.000 0.000 0.000 0.952
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.4161 0.35642 0.000 0.608 0.000 0.392 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.86008 0.000 0.000 1.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.4310 0.35244 0.000 0.604 0.000 0.392 0.004
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.3561 0.44843 0.000 0.260 0.000 0.740 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 5 0.0162 0.92979 0.004 0.000 0.000 0.000 0.996
#> C543A527-3E25-4389-9722-E9325C733243 2 0.3336 0.49953 0.000 0.772 0.000 0.228 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0000 0.62585 0.000 0.000 0.000 1.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.2153 0.75906 0.000 0.916 0.000 0.044 0.040
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.0000 0.93154 0.000 0.000 0.000 0.000 1.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.1043 0.79752 0.000 0.960 0.000 0.040 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.4171 0.35050 0.000 0.604 0.000 0.396 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> DD203D19-D635-4112-AF75-9724E0A64A0B 5 0.3003 0.75511 0.188 0.000 0.000 0.000 0.812
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0290 0.90171 0.992 0.000 0.000 0.000 0.008
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.4367 0.05876 0.008 0.620 0.000 0.372 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0162 0.62744 0.000 0.004 0.000 0.996 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0162 0.82059 0.000 0.996 0.000 0.004 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 4 0.5800 0.46229 0.008 0.396 0.072 0.524 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.0404 0.92391 0.000 0.000 0.000 0.012 0.988
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.4283 -0.00880 0.000 0.456 0.000 0.544 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 5 0.2690 0.79326 0.156 0.000 0.000 0.000 0.844
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.86008 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.82233 0.000 1.000 0.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.62585 0.000 0.000 0.000 1.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.4161 0.35642 0.000 0.608 0.000 0.392 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1197 0.78363 0.000 0.952 0.000 0.048 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.86008 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.89603 0.000 1.000 0.000 0.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.4301 0.18533 0.584 0.392 0.000 0.000 0.000 0.024
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 6 0.3967 0.63803 0.000 0.356 0.000 0.012 0.000 0.632
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 6 0.4757 0.57831 0.000 0.084 0.000 0.280 0.000 0.636
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.3101 0.70492 0.000 0.000 0.000 0.756 0.000 0.244
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 6 0.4109 0.65394 0.000 0.328 0.000 0.024 0.000 0.648
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.3833 0.50643 0.000 0.444 0.000 0.000 0.000 0.556
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 2 0.0363 0.88556 0.000 0.988 0.000 0.000 0.012 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.2941 0.78391 0.000 0.000 0.780 0.000 0.000 0.220
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 6 0.3672 0.62998 0.000 0.368 0.000 0.000 0.000 0.632
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.3756 0.33154 0.000 0.600 0.000 0.000 0.400 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.0000 0.94309 0.000 0.000 0.000 0.000 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.0000 0.94309 0.000 0.000 0.000 0.000 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 6 0.3717 0.60840 0.000 0.384 0.000 0.000 0.000 0.616
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.2003 0.79264 0.000 0.000 0.000 0.884 0.000 0.116
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0146 0.89377 0.000 0.996 0.000 0.000 0.000 0.004
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 6 0.3446 0.50333 0.000 0.000 0.000 0.308 0.000 0.692
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.91121 1.000 0.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 6 0.3695 0.61982 0.000 0.376 0.000 0.000 0.000 0.624
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.2762 0.75225 0.804 0.000 0.000 0.000 0.196 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 6 0.3672 0.62998 0.000 0.368 0.000 0.000 0.000 0.632
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.90784 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.91121 1.000 0.000 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 5 0.0000 0.94309 0.000 0.000 0.000 0.000 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.3672 0.61744 0.000 0.000 0.000 0.632 0.000 0.368
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 6 0.3672 0.62998 0.000 0.368 0.000 0.000 0.000 0.632
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.3684 0.61502 0.000 0.000 0.000 0.628 0.000 0.372
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 5 0.3050 0.70038 0.236 0.000 0.000 0.000 0.764 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0790 0.81939 0.000 0.032 0.000 0.968 0.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.5361 0.44579 0.000 0.268 0.000 0.576 0.156 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.91121 1.000 0.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 5 0.2664 0.81229 0.000 0.000 0.000 0.016 0.848 0.136
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.91121 1.000 0.000 0.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.3684 0.61501 0.000 0.000 0.000 0.628 0.000 0.372
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.91121 1.000 0.000 0.000 0.000 0.000 0.000
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#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0458 0.88623 0.000 0.984 0.000 0.016 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.91121 1.000 0.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.91121 1.000 0.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 5 0.2793 0.75223 0.200 0.000 0.000 0.000 0.800 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.89603 0.000 1.000 0.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.91121 1.000 0.000 0.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.91121 1.000 0.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 6 0.3672 0.62998 0.000 0.368 0.000 0.000 0.000 0.632
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 6 0.3672 0.62998 0.000 0.368 0.000 0.000 0.000 0.632
#> 33060001-05C9-4751-AA58-F194207ACC08 6 0.3672 0.62998 0.000 0.368 0.000 0.000 0.000 0.632
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 6 0.3833 0.51197 0.000 0.444 0.000 0.000 0.000 0.556
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.4343 0.32370 0.000 0.592 0.000 0.028 0.000 0.380
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.1957 0.76098 0.000 0.000 0.000 0.888 0.000 0.112
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.89603 0.000 1.000 0.000 0.000 0.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 6 0.3672 0.62998 0.000 0.368 0.000 0.000 0.000 0.632
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 6 0.3727 0.60837 0.000 0.388 0.000 0.000 0.000 0.612
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0458 0.88362 0.000 0.984 0.000 0.000 0.000 0.016
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 6 0.0713 0.59893 0.000 0.000 0.000 0.028 0.000 0.972
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.0405 0.93661 0.000 0.000 0.000 0.004 0.988 0.008
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.3854 0.04676 0.000 0.536 0.000 0.464 0.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 5 0.2454 0.80052 0.160 0.000 0.000 0.000 0.840 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.90784 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 6 0.3860 0.43781 0.000 0.472 0.000 0.000 0.000 0.528
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.82572 0.000 0.000 0.000 1.000 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.89603 0.000 1.000 0.000 0.000 0.000 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 6 0.4105 0.64230 0.000 0.348 0.000 0.020 0.000 0.632
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.90784 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "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 17630 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 1.000 0.978 0.990 0.4836 0.520 0.520
#> 3 3 0.896 0.912 0.958 0.3298 0.798 0.623
#> 4 4 0.704 0.687 0.838 0.1040 0.901 0.727
#> 5 5 0.782 0.756 0.846 0.1002 0.865 0.562
#> 6 6 0.728 0.619 0.768 0.0328 0.950 0.783
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0672 0.980 0.008 0.992
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.998 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.985 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.985 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.985 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.985 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0376 0.994 0.996 0.004
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.998 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0376 0.984 0.004 0.996
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0376 0.983 0.004 0.996
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.998 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.998 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.998 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.1633 0.967 0.024 0.976
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.985 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0672 0.980 0.008 0.992
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.985 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.998 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.985 0.000 1.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.998 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.985 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0376 0.984 0.004 0.996
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.998 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.998 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0376 0.984 0.004 0.996
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.985 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0376 0.984 0.004 0.996
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.998 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0672 0.980 0.008 0.992
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.0000 0.998 1.000 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.998 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.9209 0.512 0.336 0.664
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.998 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0376 0.984 0.004 0.996
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.998 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0938 0.977 0.012 0.988
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0376 0.983 0.004 0.996
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.998 1.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.985 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.7950 0.694 0.240 0.760
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0376 0.984 0.004 0.996
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0376 0.984 0.004 0.996
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 1 0.0000 0.998 1.000 0.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.998 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.998 1.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0376 0.984 0.004 0.996
#> EE4F9349-F750-4471-BFE7-7230784569E1 1 0.0000 0.998 1.000 0.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.985 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.998 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.998 1.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.9044 0.546 0.320 0.680
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.985 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.985 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0938 0.977 0.012 0.988
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0000 0.985 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.985 0.000 1.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0376 0.983 0.004 0.996
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.985 0.000 1.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.998 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.998 1.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.985 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.3114 0.936 0.056 0.944
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.985 0.000 1.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.985 0.000 1.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.985 0.000 1.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.985 0.000 1.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0000 0.985 0.000 1.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.985 0.000 1.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.0376 0.984 0.004 0.996
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.998 1.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.998 1.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.985 0.000 1.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.998 1.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.985 0.000 1.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.998 1.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.0000 0.985 0.000 1.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.998 1.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.985 0.000 1.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.985 0.000 1.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.998 1.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.0000 0.985 0.000 1.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.998 1.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 2 0.7674 0.721 0.224 0.776
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.985 0.000 1.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0000 0.985 0.000 1.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.985 0.000 1.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 2 0.0376 0.984 0.004 0.996
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.0000 0.998 1.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.985 0.000 1.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.985 0.000 1.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.985 0.000 1.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.1633 0.967 0.024 0.976
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.985 0.000 1.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0376 0.984 0.004 0.996
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.998 1.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.0000 0.985 0.000 1.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 1 0.0000 0.998 1.000 0.000
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.1633 0.967 0.024 0.976
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.998 1.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.985 0.000 1.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 1 0.0938 0.986 0.988 0.012
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.998 1.000 0.000
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#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0672 0.980 0.008 0.992
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.985 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.985 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.985 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0376 0.984 0.004 0.996
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.998 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.4431 0.897 0.092 0.908
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.998 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0376 0.984 0.004 0.996
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.985 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.985 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 1 0.0000 0.998 1.000 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.985 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0376 0.984 0.004 0.996
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.2537 0.8714 0.080 0.920 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.1170 0.9621 0.976 0.008 0.016
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9648 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9648 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.5020 0.7101 0.012 0.796 0.192
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.6468 0.0408 0.004 0.552 0.444
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.1170 0.9621 0.976 0.008 0.016
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.1170 0.9621 0.976 0.008 0.016
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.8970 0.000 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9648 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0592 0.9687 0.988 0.000 0.012
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9764 1.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0747 0.9659 0.984 0.000 0.016
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.6753 0.3523 0.388 0.596 0.016
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.4931 0.7727 0.000 0.232 0.768
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9648 0.000 1.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.2625 0.8803 0.000 0.916 0.084
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9764 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9648 0.000 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9764 1.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9648 0.000 1.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.8970 0.000 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9764 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9764 1.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.3879 0.8453 0.000 0.152 0.848
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9648 0.000 1.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.3941 0.8431 0.000 0.156 0.844
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9764 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.9648 0.000 1.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.0000 0.9764 1.000 0.000 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9764 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 1 0.6442 0.2642 0.564 0.004 0.432
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9764 1.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.3941 0.8431 0.000 0.156 0.844
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9764 1.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.9648 0.000 1.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9648 0.000 1.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.9764 1.000 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9648 0.000 1.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.3619 0.7939 0.136 0.864 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.8970 0.000 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 3 0.6527 0.7811 0.068 0.188 0.744
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 1 0.1170 0.9621 0.976 0.008 0.016
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9764 1.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0747 0.9659 0.984 0.000 0.016
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.3752 0.8491 0.000 0.144 0.856
#> EE4F9349-F750-4471-BFE7-7230784569E1 1 0.1337 0.9588 0.972 0.012 0.016
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0424 0.9594 0.000 0.992 0.008
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9764 1.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9764 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.5722 0.5973 0.704 0.004 0.292
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.9648 0.000 1.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.9648 0.000 1.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.9648 0.000 1.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.5016 0.7633 0.000 0.240 0.760
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9648 0.000 1.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.9648 0.000 1.000 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0424 0.9594 0.000 0.992 0.008
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9764 1.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9764 1.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.9648 0.000 1.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.2569 0.9064 0.032 0.936 0.032
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0424 0.9594 0.000 0.992 0.008
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 3 0.4235 0.8274 0.000 0.176 0.824
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.9648 0.000 1.000 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.9648 0.000 1.000 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0424 0.9594 0.000 0.992 0.008
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.9648 0.000 1.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.8970 0.000 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9764 1.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.9764 1.000 0.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0424 0.9594 0.000 0.992 0.008
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9764 1.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9648 0.000 1.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9764 1.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.6252 0.0582 0.000 0.556 0.444
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9764 1.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.9648 0.000 1.000 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.9648 0.000 1.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.1170 0.9621 0.976 0.008 0.016
#> 800E78BA-08BE-463B-ABBA-45255B48362B 3 0.5926 0.5726 0.000 0.356 0.644
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.9764 1.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.1289 0.8780 0.032 0.000 0.968
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.9648 0.000 1.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 3 0.5988 0.5474 0.000 0.368 0.632
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0424 0.9594 0.000 0.992 0.008
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.8970 0.000 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.0000 0.9764 1.000 0.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.9648 0.000 1.000 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.9648 0.000 1.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0424 0.9594 0.000 0.992 0.008
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 1 0.9256 0.0512 0.444 0.400 0.156
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.9648 0.000 1.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.3941 0.8431 0.000 0.156 0.844
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.9764 1.000 0.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.5291 0.7259 0.000 0.268 0.732
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 1 0.0424 0.9706 0.992 0.008 0.000
#> 9ECB653A-A04F-457C-92FC-D13424511A47 1 0.9176 0.2047 0.496 0.344 0.160
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.9764 1.000 0.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.9648 0.000 1.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 1 0.3816 0.8271 0.852 0.000 0.148
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.9764 1.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.9764 1.000 0.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.0424 0.9594 0.000 0.992 0.008
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 3 0.6095 0.4952 0.000 0.392 0.608
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.9648 0.000 1.000 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.9648 0.000 1.000 0.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.4931 0.6564 0.000 0.768 0.232
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.0747 0.8884 0.016 0.000 0.984
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.9764 1.000 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.9764 1.000 0.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 2 0.6154 0.1976 0.000 0.592 0.408
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.0000 0.8970 0.000 0.000 1.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.9764 1.000 0.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.9764 1.000 0.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.9764 1.000 0.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0000 0.9648 0.000 1.000 0.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.8970 0.000 0.000 1.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.8970 0.000 0.000 1.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 2 0.0000 0.9648 0.000 1.000 0.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.1170 0.9621 0.976 0.008 0.016
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.0000 0.9764 1.000 0.000 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.0000 0.9764 1.000 0.000 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.0000 0.9648 0.000 1.000 0.000
#> 113340B4-B092-4B8C-8A13-5932525B0C33 1 0.0000 0.9764 1.000 0.000 0.000
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 3 0.6140 0.4641 0.000 0.404 0.596
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.0000 0.9648 0.000 1.000 0.000
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 3 0.3941 0.8431 0.000 0.156 0.844
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0000 0.9764 1.000 0.000 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.0000 0.9764 1.000 0.000 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.0000 0.9764 1.000 0.000 0.000
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 3 0.3941 0.8431 0.000 0.156 0.844
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0000 0.9764 1.000 0.000 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.0000 0.9648 0.000 1.000 0.000
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 2 0.0000 0.9648 0.000 1.000 0.000
#> A0A24949-483B-4250-B11E-2BCE49F302AC 3 0.5098 0.7535 0.000 0.248 0.752
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.0000 0.9764 1.000 0.000 0.000
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 3 0.3941 0.8431 0.000 0.156 0.844
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 3 0.1529 0.8728 0.040 0.000 0.960
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 2 0.0000 0.9648 0.000 1.000 0.000
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.0000 0.9764 1.000 0.000 0.000
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 2 0.6937 0.3029 0.404 0.576 0.020
#> 7604968C-689A-458D-96BA-33B163B238F8 2 0.0000 0.9648 0.000 1.000 0.000
#> 2E040577-EA0C-4876-9F43-A180DA38F733 1 0.0000 0.9764 1.000 0.000 0.000
#> 9C30E1C0-1ADE-460B-B53D-297CCA80C071 3 0.5058 0.7584 0.000 0.244 0.756
#> 4FE5EDE2-7790-4A75-9BB6-93260A8154A0 2 0.0000 0.9648 0.000 1.000 0.000
#> A4821960-9921-4B07-98CE-C4FDCA15146D 1 0.0000 0.9764 1.000 0.000 0.000
#> 8DA59514-8B25-493E-B226-818F2521B5D5 1 0.0000 0.9764 1.000 0.000 0.000
#> C9EE359E-2F42-4D20-880D-FBF8B4953731 1 0.0000 0.9764 1.000 0.000 0.000
#> F90967A5-96C6-4669-BCFB-0C51F539B0E7 2 0.6026 0.3043 0.000 0.624 0.376
#> 2482156E-29A8-4B6B-91BD-219EAC9229B5 2 0.0424 0.9594 0.000 0.992 0.008
#> 4EA4A8AE-581A-4170-8062-99645CB41337 1 0.0000 0.9764 1.000 0.000 0.000
#> C584D193-A7DD-43B1-93ED-C46F4E3313F0 2 0.0000 0.9648 0.000 1.000 0.000
#> 2FBF997D-B138-4BB4-B51E-81CEF9C0C8A3 2 0.0000 0.9648 0.000 1.000 0.000
#> 0AF0D126-507C-4DE1-B9A2-A1B8F0A089FB 2 0.0000 0.9648 0.000 1.000 0.000
#> 077523A7-E1C9-4E9F-8C9F-B9F647B4DF7C 3 0.0000 0.8970 0.000 0.000 1.000
#> 32CED7C6-C413-4B5C-8A49-8AA2C97E582D 3 0.0000 0.8970 0.000 0.000 1.000
#> 66FF1C46-83F0-4EEC-9871-448C8C7EA3AE 1 0.0000 0.9764 1.000 0.000 0.000
#> 89BE4270-8300-424E-A248-A0B00C3F5C1A 2 0.0000 0.9648 0.000 1.000 0.000
#> 0F8BE394-BA6A-401C-87D0-9B3CF50FB0C8 2 0.0000 0.9648 0.000 1.000 0.000
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#> 1667B17C-C5E2-4E65-98FF-A6DDE44CC4B6 3 0.0000 0.8970 0.000 0.000 1.000
#> 1C62E679-3A4E-4D10-8BFB-5BFBF2A3B4B6 1 0.4128 0.8384 0.856 0.012 0.132
#> 39777F3A-0854-4C8E-9FF4-9A1369C4733D 2 0.0424 0.9583 0.000 0.992 0.008
#> AC25E68C-76EA-40E0-912F-29C632BC0996 1 0.0000 0.9764 1.000 0.000 0.000
#> 3DA19761-6FF3-4E8C-AA0F-C04CE2CE7037 1 0.0000 0.9764 1.000 0.000 0.000
#> 2E401C42-010F-4AFC-A362-B69426418626 1 0.0000 0.9764 1.000 0.000 0.000
#> 913D6292-6507-4F86-A120-137CEACE5C9F 2 0.0000 0.9648 0.000 1.000 0.000
#> F35F85A8-B3CD-4116-990F-94B2E432F902 2 0.0000 0.9648 0.000 1.000 0.000
#> EEE5E45B-D2E3-4CFA-AC5F-8AE1EC2CB61C 2 0.0237 0.9623 0.000 0.996 0.004
#> 7B6D13EE-FE13-4BA8-BA65-1A10307A7936 3 0.0000 0.8970 0.000 0.000 1.000
#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.0000 0.9648 0.000 1.000 0.000
#> A130FABA-F55F-412D-940E-7305057B4D1A 2 0.0000 0.9648 0.000 1.000 0.000
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 3 0.4172 0.8425 0.004 0.156 0.840
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 1 0.0000 0.9764 1.000 0.000 0.000
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 1 0.0000 0.9764 1.000 0.000 0.000
#> E3887082-4C43-426C-8580-ECAA4EFEC577 3 0.0424 0.8928 0.008 0.000 0.992
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 1 0.0000 0.9764 1.000 0.000 0.000
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 3 0.0000 0.8970 0.000 0.000 1.000
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 2 0.0000 0.9648 0.000 1.000 0.000
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 2 0.5431 0.5489 0.000 0.716 0.284
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 1 0.0000 0.9764 1.000 0.000 0.000
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.0000 0.9764 1.000 0.000 0.000
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 3 0.0000 0.8970 0.000 0.000 1.000
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0000 0.9764 1.000 0.000 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 1 0.0661 0.9691 0.988 0.008 0.004
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 2 0.0424 0.9594 0.000 0.992 0.008
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.0000 0.9764 1.000 0.000 0.000
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0424 0.9594 0.000 0.992 0.008
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 3 0.0000 0.8970 0.000 0.000 1.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 3 0.0747 0.8884 0.016 0.000 0.984
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.0000 0.9648 0.000 1.000 0.000
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.0000 0.9764 1.000 0.000 0.000
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.9764 1.000 0.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 3 0.2878 0.8683 0.000 0.096 0.904
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 1 0.1170 0.9621 0.976 0.008 0.016
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 2 0.0000 0.9648 0.000 1.000 0.000
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0000 0.9764 1.000 0.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.9764 1.000 0.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.9764 1.000 0.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0424 0.9594 0.000 0.992 0.008
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0000 0.8970 0.000 0.000 1.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0000 0.8970 0.000 0.000 1.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.9648 0.000 1.000 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0000 0.8970 0.000 0.000 1.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0000 0.8970 0.000 0.000 1.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.9764 1.000 0.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0000 0.8970 0.000 0.000 1.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.9764 1.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.1170 0.9621 0.976 0.008 0.016
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 1 0.1170 0.9621 0.976 0.008 0.016
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.9764 1.000 0.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.9764 1.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.0000 0.9764 1.000 0.000 0.000
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.9764 1.000 0.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.9648 0.000 1.000 0.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 3 0.3941 0.8431 0.000 0.156 0.844
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.1170 0.9621 0.976 0.008 0.016
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0000 0.9648 0.000 1.000 0.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.9764 1.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.8970 0.000 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.9764 1.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.9648 0.000 1.000 0.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.9648 0.000 1.000 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.8970 0.000 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.3879 0.8453 0.000 0.152 0.848
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.9648 0.000 1.000 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 3 0.6192 0.4223 0.000 0.420 0.580
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.8970 0.000 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.4062 0.8372 0.000 0.164 0.836
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.8970 0.000 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.1170 0.9621 0.976 0.008 0.016
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.8970 0.000 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.0747 0.8884 0.016 0.000 0.984
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0237 0.9622 0.000 0.996 0.004
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0000 0.9648 0.000 1.000 0.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9764 1.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.0000 0.8970 0.000 0.000 1.000
#> D902E43A-F384-432A-B690-D20BFCC78443 1 0.1170 0.9621 0.976 0.008 0.016
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0000 0.9648 0.000 1.000 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.9648 0.000 1.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 1 0.9274 -0.0337 0.456 0.160 0.384
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.8970 0.000 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9764 1.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.9764 1.000 0.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9764 1.000 0.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0237 0.9622 0.000 0.996 0.004
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.1453 0.9560 0.968 0.008 0.024
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9764 1.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.2703 0.8877 0.056 0.928 0.016
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9764 1.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.9648 0.000 1.000 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9764 1.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.5016 0.6413 0.000 0.760 0.240
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.1170 0.9621 0.976 0.008 0.016
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.1170 0.9621 0.976 0.008 0.016
#> BF513557-1518-4843-9F62-837B557D4CAB 1 0.7180 0.6401 0.716 0.116 0.168
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9764 1.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9648 0.000 1.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9764 1.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.9648 0.000 1.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.5016 0.7633 0.000 0.240 0.760
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9764 1.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.1337 0.9403 0.012 0.972 0.016
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9764 1.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9648 0.000 1.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9764 1.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 3 0.4062 0.8373 0.000 0.164 0.836
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.4504 0.8099 0.000 0.196 0.804
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.1170 0.9621 0.976 0.008 0.016
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9648 0.000 1.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9764 1.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9764 1.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.4796 0.7862 0.000 0.220 0.780
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9764 1.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.5327 0.7197 0.000 0.272 0.728
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0237 0.9622 0.000 0.996 0.004
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9764 1.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.9648 0.000 1.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.8970 0.000 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9648 0.000 1.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.8970 0.000 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9764 1.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9764 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9648 0.000 1.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9764 1.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9648 0.000 1.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.8970 0.000 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0747 0.9659 0.984 0.000 0.016
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.9648 0.000 1.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9764 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9648 0.000 1.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0424 0.9594 0.000 0.992 0.008
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.3618 0.8713 0.884 0.012 0.104
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9764 1.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9648 0.000 1.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0424 0.9583 0.000 0.992 0.008
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.9648 0.000 1.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9764 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9764 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9764 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9648 0.000 1.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9764 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9764 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9648 0.000 1.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9648 0.000 1.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9648 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9648 0.000 1.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.5988 0.5475 0.000 0.368 0.632
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0237 0.9622 0.000 0.996 0.004
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.1170 0.9445 0.016 0.976 0.008
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9648 0.000 1.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9648 0.000 1.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9648 0.000 1.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.3879 0.8453 0.000 0.152 0.848
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9764 1.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.2947 0.8812 0.060 0.920 0.020
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9764 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.8970 0.000 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9648 0.000 1.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.9648 0.000 1.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 1 0.1170 0.9621 0.976 0.008 0.016
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9648 0.000 1.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.8970 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.2868 0.79112 0.000 0.136 0.000 0.864
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.3266 0.70816 0.168 0.832 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 4 0.0336 0.89730 0.000 0.008 0.000 0.992
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.0000 0.89944 0.000 0.000 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.6299 0.25816 0.000 0.420 0.060 0.520
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 4 0.5822 0.57215 0.008 0.252 0.056 0.684
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.3718 0.70844 0.168 0.820 0.000 0.012
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 2 0.4134 0.69499 0.260 0.740 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0592 0.68366 0.000 0.016 0.984 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 4 0.0000 0.89944 0.000 0.000 0.000 1.000
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#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.68473 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.3916 0.65449 0.000 0.804 0.000 0.104 0.092
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.0566 0.88572 0.004 0.000 0.000 0.012 0.984
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.3210 0.62202 0.000 0.788 0.000 0.212 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.4380 0.45643 0.000 0.708 0.032 0.260 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.6436 0.28320 0.000 0.072 0.124 0.636 0.168
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.6692 0.19916 0.000 0.588 0.124 0.228 0.060
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 5 0.0404 0.88437 0.000 0.000 0.000 0.012 0.988
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.2067 0.88304 0.032 0.000 0.000 0.048 0.920
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.2074 0.77036 0.000 0.000 0.896 0.104 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.1341 0.83947 0.000 0.944 0.000 0.056 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.0566 0.88572 0.004 0.000 0.000 0.012 0.984
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.2144 0.87118 0.068 0.000 0.000 0.020 0.912
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.0404 0.88436 0.000 0.000 0.000 0.012 0.988
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.4546 0.12202 0.000 0.532 0.000 0.008 0.460
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.4225 0.71797 0.000 0.004 0.632 0.364 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0290 0.85211 0.000 0.992 0.000 0.008 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 3 0.5200 0.67138 0.000 0.068 0.628 0.304 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0609 0.85342 0.000 0.980 0.000 0.020 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.0404 0.88436 0.000 0.000 0.000 0.012 0.988
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.1341 0.83947 0.000 0.944 0.000 0.056 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0609 0.75039 0.000 0.000 0.980 0.020 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 5 0.1444 0.88338 0.040 0.000 0.000 0.012 0.948
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.4227 0.66356 0.000 0.000 0.580 0.420 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0404 0.85444 0.000 0.988 0.000 0.012 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.3876 0.74784 0.000 0.000 0.684 0.316 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.4383 0.65167 0.000 0.424 0.004 0.572 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.2054 0.87806 0.052 0.000 0.000 0.028 0.920
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 5 0.2127 0.84440 0.000 0.000 0.000 0.108 0.892
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.4210 0.68461 0.000 0.000 0.588 0.412 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.5794 -0.35745 0.000 0.520 0.000 0.384 0.096
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.85350 0.000 1.000 0.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.1195 0.88601 0.028 0.000 0.000 0.012 0.960
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0162 0.85428 0.000 0.996 0.000 0.004 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.5925 0.66399 0.000 0.264 0.008 0.604 0.124
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 5 0.6602 -0.18795 0.000 0.000 0.384 0.212 0.404
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.3888 0.75198 0.000 0.004 0.032 0.176 0.788
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.2369 0.88113 0.032 0.004 0.000 0.056 0.908
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.3884 0.61629 0.708 0.000 0.000 0.004 0.288
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 5 0.0404 0.88436 0.000 0.000 0.000 0.012 0.988
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.4655 0.72930 0.000 0.000 0.644 0.328 0.028
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.1843 0.88214 0.008 0.008 0.000 0.052 0.932
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 3 0.6569 0.18624 0.000 0.232 0.464 0.304 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0510 0.94167 0.984 0.000 0.000 0.000 0.016
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 5 0.0794 0.88291 0.000 0.000 0.000 0.028 0.972
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.4101 0.72103 0.000 0.372 0.000 0.628 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.3707 0.74119 0.000 0.284 0.000 0.716 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.4597 0.65610 0.000 0.424 0.012 0.564 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.4449 0.59848 0.000 0.004 0.512 0.484 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.85350 0.000 1.000 0.000 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.4114 0.73290 0.000 0.376 0.000 0.624 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.6187 -0.03084 0.000 0.552 0.248 0.200 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 5 0.4264 0.42116 0.376 0.000 0.000 0.004 0.620
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 5 0.4375 0.32740 0.420 0.000 0.000 0.004 0.576
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.3661 0.73842 0.000 0.276 0.000 0.724 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.6672 -0.34893 0.000 0.392 0.000 0.376 0.232
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.1478 0.80297 0.000 0.936 0.000 0.064 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 3 0.4047 0.74318 0.000 0.004 0.676 0.320 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.2843 0.72677 0.000 0.848 0.008 0.144 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.2561 0.74081 0.000 0.856 0.000 0.144 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.5510 0.61138 0.000 0.208 0.144 0.648 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.1270 0.84194 0.000 0.948 0.000 0.052 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.3280 0.77211 0.000 0.000 0.812 0.176 0.012
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.3491 0.71966 0.768 0.000 0.000 0.004 0.228
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.6653 0.52547 0.000 0.364 0.228 0.408 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.4666 0.44027 0.000 0.704 0.056 0.240 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 3 0.4251 0.73760 0.000 0.012 0.672 0.316 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0290 0.85453 0.000 0.992 0.000 0.008 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.85350 0.000 1.000 0.000 0.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 5 0.1568 0.88604 0.036 0.000 0.000 0.020 0.944
#> 800E78BA-08BE-463B-ABBA-45255B48362B 3 0.4559 0.59435 0.000 0.008 0.512 0.480 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 5 0.3622 0.79543 0.000 0.000 0.056 0.124 0.820
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0510 0.85399 0.000 0.984 0.000 0.016 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 3 0.4165 0.73941 0.000 0.008 0.672 0.320 0.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.85350 0.000 1.000 0.000 0.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.2648 0.76826 0.000 0.000 0.848 0.152 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.2661 0.87329 0.056 0.000 0.000 0.056 0.888
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.1410 0.83171 0.000 0.940 0.000 0.060 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0162 0.85346 0.000 0.996 0.000 0.004 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.85350 0.000 1.000 0.000 0.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 5 0.2771 0.78252 0.000 0.128 0.000 0.012 0.860
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.1638 0.82759 0.000 0.932 0.004 0.064 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.3969 0.74971 0.000 0.004 0.692 0.304 0.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.2104 0.87464 0.060 0.000 0.000 0.024 0.916
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.4449 0.59848 0.000 0.004 0.512 0.484 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.2149 0.88090 0.036 0.000 0.000 0.048 0.916
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.4341 0.32361 0.000 0.628 0.000 0.008 0.364
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.3728 0.69605 0.748 0.000 0.000 0.008 0.244
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0510 0.85399 0.000 0.984 0.000 0.016 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 5 0.0290 0.88496 0.000 0.000 0.000 0.008 0.992
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 5 0.4387 0.48825 0.348 0.000 0.000 0.012 0.640
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.6504 -0.36429 0.000 0.448 0.196 0.356 0.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 3 0.7248 0.34794 0.000 0.164 0.416 0.376 0.044
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.1043 0.84421 0.000 0.960 0.000 0.040 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0880 0.85146 0.000 0.968 0.000 0.032 0.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 3 0.4883 0.70221 0.000 0.048 0.652 0.300 0.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 5 0.5067 0.67469 0.000 0.000 0.128 0.172 0.700
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 3 0.4658 0.57704 0.000 0.012 0.504 0.484 0.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.3177 0.77019 0.000 0.000 0.792 0.208 0.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0404 0.94481 0.988 0.000 0.000 0.000 0.012
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0609 0.85342 0.000 0.980 0.000 0.020 0.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0609 0.75039 0.000 0.000 0.980 0.020 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0162 0.75801 0.000 0.000 0.996 0.004 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 4 0.3885 0.73579 0.000 0.268 0.008 0.724 0.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 5 0.0771 0.88603 0.004 0.000 0.000 0.020 0.976
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 5 0.0324 0.88573 0.004 0.000 0.000 0.004 0.992
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.4359 0.29653 0.584 0.000 0.000 0.004 0.412
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.0290 0.85211 0.000 0.992 0.000 0.008 0.000
#> 113340B4-B092-4B8C-8A13-5932525B0C33 5 0.2208 0.86878 0.072 0.000 0.000 0.020 0.908
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 3 0.4560 0.58832 0.000 0.008 0.508 0.484 0.000
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.0000 0.85350 0.000 1.000 0.000 0.000 0.000
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 3 0.4304 0.60515 0.000 0.000 0.516 0.484 0.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0290 0.94625 0.992 0.000 0.000 0.000 0.008
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 3 0.4901 0.74054 0.000 0.000 0.672 0.268 0.060
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.1894 0.77100 0.000 0.920 0.000 0.008 0.072
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 4 0.4734 0.70231 0.000 0.232 0.064 0.704 0.000
#> A0A24949-483B-4250-B11E-2BCE49F302AC 3 0.4029 0.74466 0.000 0.004 0.680 0.316 0.000
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 4 0.5887 -0.50263 0.000 0.000 0.424 0.476 0.100
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 5 0.2438 0.84486 0.000 0.000 0.040 0.060 0.900
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 2 0.2648 0.66698 0.000 0.848 0.000 0.000 0.152
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 5 0.4821 0.08232 0.000 0.464 0.000 0.020 0.516
#> 7604968C-689A-458D-96BA-33B163B238F8 2 0.0000 0.85350 0.000 1.000 0.000 0.000 0.000
#> 2E040577-EA0C-4876-9F43-A180DA38F733 1 0.0865 0.93573 0.972 0.000 0.000 0.004 0.024
#> 9C30E1C0-1ADE-460B-B53D-297CCA80C071 3 0.4448 0.60405 0.000 0.004 0.516 0.480 0.000
#> 4FE5EDE2-7790-4A75-9BB6-93260A8154A0 2 0.0880 0.83982 0.000 0.968 0.000 0.032 0.000
#> A4821960-9921-4B07-98CE-C4FDCA15146D 1 0.2011 0.88611 0.908 0.000 0.000 0.004 0.088
#> 8DA59514-8B25-493E-B226-818F2521B5D5 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> C9EE359E-2F42-4D20-880D-FBF8B4953731 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> F90967A5-96C6-4669-BCFB-0C51F539B0E7 3 0.6124 0.42453 0.000 0.128 0.460 0.412 0.000
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#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.1168 0.88555 0.032 0.000 0.000 0.008 0.960
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.2674 0.82609 0.856 0.000 0.000 0.004 0.140
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.85350 0.000 1.000 0.000 0.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 5 0.0404 0.88436 0.000 0.000 0.000 0.012 0.988
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0794 0.85229 0.000 0.972 0.000 0.028 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0609 0.75039 0.000 0.000 0.980 0.020 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 5 0.0566 0.88572 0.004 0.000 0.000 0.012 0.984
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.4262 -0.28431 0.000 0.560 0.000 0.440 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.1544 0.83204 0.000 0.932 0.000 0.068 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.6523 0.19981 0.000 0.208 0.332 0.460 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 5 0.0609 0.88401 0.000 0.000 0.000 0.020 0.980
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.1410 0.90791 0.940 0.000 0.000 0.000 0.060
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0609 0.85342 0.000 0.980 0.000 0.020 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.2929 0.65642 0.000 0.840 0.000 0.008 0.152
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.3480 0.43913 0.000 0.752 0.000 0.248 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.85350 0.000 1.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.95019 1.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.3209 0.66951 0.000 0.812 0.008 0.180 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.2020 0.80046 0.000 0.900 0.000 0.100 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0609 0.85342 0.000 0.980 0.000 0.020 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0794 0.84811 0.000 0.972 0.000 0.028 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.4718 0.70047 0.000 0.028 0.628 0.344 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.2852 0.69370 0.000 0.828 0.000 0.172 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.3410 0.69576 0.000 0.840 0.000 0.068 0.092
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0162 0.85346 0.000 0.996 0.000 0.004 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0609 0.85342 0.000 0.980 0.000 0.020 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0510 0.85399 0.000 0.984 0.000 0.016 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.3661 0.76080 0.000 0.000 0.724 0.276 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.0162 0.88509 0.000 0.000 0.000 0.004 0.996
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 5 0.5519 0.13402 0.000 0.412 0.000 0.068 0.520
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0290 0.94625 0.992 0.000 0.000 0.000 0.008
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0609 0.75039 0.000 0.000 0.980 0.020 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0510 0.85399 0.000 0.984 0.000 0.016 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.4193 0.72925 0.000 0.256 0.024 0.720 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.2369 0.88113 0.032 0.004 0.000 0.056 0.908
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.4455 0.44105 0.000 0.704 0.036 0.260 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0609 0.75039 0.000 0.000 0.980 0.020 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.4775 0.5935 0.000 0.740 0.000 0.096 0.096 0.068
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.0547 0.6214 0.000 0.000 0.000 0.000 0.980 0.020
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 4 0.5411 0.4293 0.000 0.424 0.072 0.488 0.000 0.016
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.5827 0.5276 0.000 0.376 0.124 0.484 0.000 0.016
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.5347 -0.2176 0.000 0.032 0.336 0.584 0.040 0.008
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 3 0.6888 0.3343 0.000 0.156 0.400 0.384 0.032 0.028
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 5 0.1204 0.6037 0.000 0.000 0.000 0.000 0.944 0.056
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.3446 0.5903 0.000 0.000 0.000 0.000 0.692 0.308
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.2618 0.6714 0.000 0.000 0.860 0.116 0.000 0.024
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.3231 0.6577 0.000 0.784 0.000 0.200 0.000 0.016
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.0547 0.6220 0.000 0.000 0.000 0.000 0.980 0.020
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.2431 0.6330 0.008 0.000 0.000 0.000 0.860 0.132
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.0713 0.6131 0.000 0.000 0.000 0.000 0.972 0.028
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 5 0.4479 -0.0174 0.000 0.356 0.000 0.004 0.608 0.032
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.4260 0.5540 0.000 0.016 0.512 0.472 0.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0713 0.8214 0.000 0.972 0.000 0.028 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 3 0.5442 0.5139 0.000 0.088 0.552 0.344 0.000 0.016
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0547 0.9028 0.980 0.000 0.000 0.000 0.000 0.020
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0458 0.8296 0.000 0.984 0.000 0.016 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.0790 0.6129 0.000 0.000 0.000 0.000 0.968 0.032
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.3259 0.6393 0.000 0.772 0.000 0.216 0.000 0.012
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.2092 0.6124 0.000 0.000 0.876 0.000 0.000 0.124
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0458 0.9033 0.984 0.000 0.000 0.000 0.000 0.016
#> B7A23896-4182-48D3-A1D9-92C781BF283F 5 0.1074 0.6206 0.028 0.000 0.000 0.000 0.960 0.012
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.5393 0.5825 0.000 0.004 0.596 0.240 0.000 0.160
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0717 0.8283 0.000 0.976 0.000 0.016 0.000 0.008
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.3784 0.6741 0.000 0.012 0.680 0.308 0.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0547 0.9028 0.980 0.000 0.000 0.000 0.000 0.020
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.6445 0.5395 0.000 0.288 0.044 0.488 0.000 0.180
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.3887 0.5521 0.008 0.000 0.000 0.000 0.632 0.360
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0547 0.9028 0.980 0.000 0.000 0.000 0.000 0.020
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 5 0.5248 -0.2204 0.000 0.000 0.000 0.100 0.512 0.388
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0547 0.9028 0.980 0.000 0.000 0.000 0.000 0.020
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.4258 0.5571 0.000 0.016 0.516 0.468 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9033 1.000 0.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.6111 -0.1620 0.000 0.476 0.000 0.304 0.012 0.208
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0363 0.8274 0.000 0.988 0.000 0.012 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.1958 0.6341 0.004 0.000 0.000 0.000 0.896 0.100
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0547 0.8303 0.000 0.980 0.000 0.020 0.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.6824 0.3099 0.000 0.160 0.004 0.504 0.092 0.240
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.5724 0.3344 0.000 0.000 0.560 0.084 0.040 0.316
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.6971 -0.2168 0.000 0.024 0.020 0.252 0.372 0.332
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.3804 0.5181 0.000 0.000 0.000 0.000 0.576 0.424
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.5961 0.3166 0.336 0.000 0.000 0.000 0.432 0.232
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 5 0.0865 0.6103 0.000 0.000 0.000 0.000 0.964 0.036
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.5167 0.6321 0.000 0.008 0.616 0.288 0.004 0.084
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.3823 0.5071 0.000 0.000 0.000 0.000 0.564 0.436
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.6404 0.4000 0.000 0.252 0.340 0.392 0.000 0.016
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0547 0.9028 0.980 0.000 0.000 0.000 0.000 0.020
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.2859 0.7771 0.828 0.000 0.000 0.000 0.156 0.016
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 5 0.3314 0.3505 0.000 0.000 0.000 0.012 0.764 0.224
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.3695 0.7389 0.000 0.244 0.000 0.732 0.000 0.024
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.3670 0.7413 0.000 0.240 0.000 0.736 0.000 0.024
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.6447 0.5315 0.000 0.276 0.036 0.500 0.004 0.184
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.4258 0.5571 0.000 0.016 0.516 0.468 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0363 0.8274 0.000 0.988 0.000 0.012 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.3956 0.7349 0.000 0.252 0.000 0.712 0.000 0.036
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.6018 0.5929 0.000 0.320 0.168 0.496 0.000 0.016
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 5 0.4641 0.5190 0.200 0.000 0.000 0.000 0.684 0.116
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 5 0.3405 0.4543 0.272 0.000 0.000 0.000 0.724 0.004
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.3348 0.7504 0.000 0.216 0.000 0.768 0.000 0.016
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.7500 -0.0387 0.000 0.228 0.000 0.352 0.152 0.268
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0806 0.8239 0.000 0.972 0.008 0.020 0.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 3 0.4259 0.6645 0.000 0.020 0.648 0.324 0.000 0.008
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.4303 0.2560 0.000 0.616 0.008 0.360 0.000 0.016
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.4291 0.2766 0.000 0.620 0.008 0.356 0.000 0.016
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.4570 0.7273 0.000 0.228 0.092 0.680 0.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.3200 0.6637 0.000 0.788 0.000 0.196 0.000 0.016
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.4560 0.5688 0.000 0.000 0.692 0.108 0.000 0.200
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0146 0.9031 0.996 0.000 0.000 0.000 0.000 0.004
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.5983 0.2933 0.356 0.000 0.000 0.000 0.412 0.232
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.5522 0.6959 0.000 0.260 0.120 0.600 0.000 0.020
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0458 0.9033 0.984 0.000 0.000 0.000 0.000 0.016
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.5695 -0.2184 0.000 0.480 0.104 0.400 0.000 0.016
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0458 0.9010 0.984 0.000 0.000 0.000 0.000 0.016
#> 111625A4-390B-4D8C-BF80-020062CE9D89 3 0.4481 0.6097 0.000 0.020 0.572 0.400 0.000 0.008
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0717 0.9026 0.976 0.000 0.000 0.000 0.008 0.016
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0458 0.8296 0.000 0.984 0.000 0.016 0.000 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0363 0.8274 0.000 0.988 0.000 0.012 0.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 5 0.1387 0.6312 0.000 0.000 0.000 0.000 0.932 0.068
#> 800E78BA-08BE-463B-ABBA-45255B48362B 3 0.4565 0.5347 0.000 0.020 0.496 0.476 0.008 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0363 0.9021 0.988 0.000 0.000 0.000 0.000 0.012
#> 27875588-7C41-49BB-A4C0-A66D72A12499 5 0.6176 -0.3164 0.000 0.000 0.044 0.112 0.464 0.380
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0632 0.8300 0.000 0.976 0.000 0.024 0.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 3 0.4416 0.6318 0.000 0.020 0.600 0.372 0.000 0.008
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0260 0.8287 0.000 0.992 0.000 0.008 0.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.4294 0.4684 0.000 0.000 0.672 0.048 0.000 0.280
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.3923 0.5205 0.004 0.000 0.000 0.000 0.580 0.416
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.3570 0.5977 0.000 0.752 0.004 0.228 0.000 0.016
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0146 0.8305 0.000 0.996 0.000 0.004 0.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0363 0.8274 0.000 0.988 0.000 0.012 0.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 5 0.4003 0.3911 0.000 0.116 0.000 0.000 0.760 0.124
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.4483 0.4156 0.000 0.668 0.032 0.284 0.000 0.016
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.3990 0.6747 0.000 0.004 0.676 0.304 0.000 0.016
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.3874 0.5548 0.008 0.000 0.000 0.000 0.636 0.356
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.4260 0.5530 0.000 0.016 0.512 0.472 0.000 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.3774 0.5267 0.000 0.000 0.000 0.000 0.592 0.408
#> 9ECB653A-A04F-457C-92FC-D13424511A47 5 0.4755 0.0105 0.000 0.352 0.000 0.008 0.596 0.044
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 5 0.4184 0.2421 0.408 0.000 0.000 0.000 0.576 0.016
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0632 0.8300 0.000 0.976 0.000 0.024 0.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 5 0.3012 0.5436 0.000 0.000 0.000 0.008 0.796 0.196
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0547 0.9028 0.980 0.000 0.000 0.000 0.000 0.020
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#> FC2F983B-2530-4886-B759-E2C571E2D068 3 0.3888 0.6731 0.000 0.016 0.672 0.312 0.000 0.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 5 0.0632 0.6220 0.000 0.000 0.000 0.000 0.976 0.024
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.2278 0.7035 0.000 0.868 0.004 0.128 0.000 0.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0260 0.9028 0.992 0.000 0.000 0.000 0.000 0.008
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.2257 0.6195 0.000 0.000 0.876 0.008 0.000 0.116
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.1003 0.8982 0.964 0.000 0.000 0.000 0.016 0.020
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0146 0.8304 0.000 0.996 0.000 0.000 0.000 0.004
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0458 0.8296 0.000 0.984 0.000 0.016 0.000 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.1387 0.6377 0.000 0.000 0.932 0.000 0.000 0.068
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.3595 0.6788 0.000 0.008 0.704 0.288 0.000 0.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0260 0.8287 0.000 0.992 0.000 0.008 0.000 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 3 0.4732 0.5249 0.000 0.020 0.484 0.480 0.000 0.016
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.1531 0.6391 0.000 0.000 0.928 0.004 0.000 0.068
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.4192 0.6103 0.000 0.016 0.572 0.412 0.000 0.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.1387 0.6377 0.000 0.000 0.932 0.000 0.000 0.068
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 5 0.0632 0.6220 0.000 0.000 0.000 0.000 0.976 0.024
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.2092 0.6124 0.000 0.000 0.876 0.000 0.000 0.124
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 5 0.6891 -0.4931 0.000 0.000 0.116 0.116 0.392 0.376
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.4730 0.3509 0.000 0.468 0.020 0.496 0.000 0.016
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.3727 0.7443 0.000 0.216 0.000 0.748 0.000 0.036
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.3828 0.7145 0.776 0.000 0.000 0.000 0.124 0.100
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.3874 0.6572 0.000 0.000 0.760 0.172 0.000 0.068
#> D902E43A-F384-432A-B690-D20BFCC78443 5 0.3804 0.5227 0.000 0.000 0.000 0.000 0.576 0.424
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.3670 0.7417 0.000 0.240 0.000 0.736 0.000 0.024
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0632 0.8239 0.000 0.976 0.000 0.024 0.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 5 0.4432 0.4513 0.000 0.052 0.016 0.024 0.764 0.144
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.2092 0.6124 0.000 0.000 0.876 0.000 0.000 0.124
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.4246 0.1426 0.532 0.000 0.000 0.000 0.452 0.016
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.4537 0.5031 0.036 0.000 0.000 0.000 0.552 0.412
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.4798 0.5449 0.076 0.000 0.000 0.000 0.612 0.312
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.5610 -0.3096 0.000 0.464 0.092 0.428 0.000 0.016
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 5 0.1204 0.6037 0.000 0.000 0.000 0.000 0.944 0.056
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0547 0.9028 0.980 0.000 0.000 0.000 0.000 0.020
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.7958 0.0192 0.000 0.200 0.032 0.344 0.132 0.292
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.3541 0.6617 0.748 0.000 0.000 0.000 0.232 0.020
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.4002 0.7275 0.000 0.260 0.000 0.704 0.000 0.036
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.2744 0.7823 0.840 0.000 0.000 0.000 0.144 0.016
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 3 0.4473 0.5141 0.000 0.028 0.492 0.480 0.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 5 0.3782 0.5233 0.000 0.000 0.000 0.000 0.588 0.412
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.3756 0.5354 0.000 0.000 0.000 0.000 0.600 0.400
#> BF513557-1518-4843-9F62-837B557D4CAB 5 0.2884 0.5261 0.000 0.004 0.000 0.008 0.824 0.164
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0458 0.9010 0.984 0.000 0.000 0.000 0.000 0.016
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.3738 0.5201 0.000 0.704 0.000 0.280 0.000 0.016
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0363 0.9021 0.988 0.000 0.000 0.000 0.000 0.012
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.3483 0.7488 0.000 0.212 0.000 0.764 0.000 0.024
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.4390 0.5500 0.000 0.016 0.508 0.472 0.000 0.004
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0458 0.9033 0.984 0.000 0.000 0.000 0.000 0.016
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.5875 -0.1774 0.000 0.488 0.000 0.024 0.376 0.112
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0458 0.9033 0.984 0.000 0.000 0.000 0.000 0.016
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0363 0.8274 0.000 0.988 0.000 0.012 0.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0547 0.9028 0.980 0.000 0.000 0.000 0.000 0.020
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 3 0.5914 0.6105 0.000 0.016 0.544 0.316 0.012 0.112
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.4258 0.5571 0.000 0.016 0.516 0.468 0.000 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.2823 0.6218 0.000 0.000 0.000 0.000 0.796 0.204
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.1610 0.7922 0.000 0.916 0.000 0.084 0.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0547 0.9028 0.980 0.000 0.000 0.000 0.000 0.020
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.5890 0.0455 0.440 0.000 0.000 0.000 0.208 0.352
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.4260 0.5530 0.000 0.016 0.512 0.472 0.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0547 0.9028 0.980 0.000 0.000 0.000 0.000 0.020
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.4702 0.6158 0.000 0.024 0.572 0.388 0.000 0.016
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.4619 0.7046 0.000 0.296 0.032 0.652 0.000 0.020
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.5720 0.3492 0.332 0.000 0.000 0.000 0.488 0.180
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.3745 0.7402 0.000 0.240 0.000 0.732 0.000 0.028
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.2831 0.6700 0.000 0.000 0.840 0.136 0.000 0.024
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.3141 0.6620 0.000 0.788 0.000 0.200 0.000 0.012
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.2092 0.6124 0.000 0.000 0.876 0.000 0.000 0.124
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.2402 0.6323 0.012 0.000 0.000 0.000 0.868 0.120
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.3986 0.5161 0.664 0.000 0.000 0.000 0.316 0.020
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0458 0.8272 0.000 0.984 0.000 0.016 0.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 5 0.0935 0.6128 0.004 0.000 0.000 0.000 0.964 0.032
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0865 0.8238 0.000 0.964 0.000 0.036 0.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.2092 0.6124 0.000 0.000 0.876 0.000 0.000 0.124
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 5 0.0547 0.6222 0.000 0.000 0.000 0.000 0.980 0.020
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.4289 0.6352 0.000 0.360 0.000 0.612 0.000 0.028
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0458 0.9033 0.984 0.000 0.000 0.000 0.000 0.016
#> C543A527-3E25-4389-9722-E9325C733243 2 0.3697 0.5784 0.000 0.732 0.004 0.248 0.000 0.016
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.5413 0.6519 0.000 0.228 0.192 0.580 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 5 0.2260 0.5091 0.000 0.000 0.000 0.000 0.860 0.140
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.3189 0.7242 0.796 0.000 0.000 0.000 0.184 0.020
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0458 0.8296 0.000 0.984 0.000 0.016 0.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.4335 0.6030 0.000 0.764 0.000 0.032 0.124 0.080
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.3572 0.5332 0.000 0.764 0.000 0.204 0.000 0.032
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0458 0.9033 0.984 0.000 0.000 0.000 0.000 0.016
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0547 0.9028 0.980 0.000 0.000 0.000 0.000 0.020
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0547 0.9028 0.980 0.000 0.000 0.000 0.000 0.020
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0363 0.8274 0.000 0.988 0.000 0.012 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0458 0.9033 0.984 0.000 0.000 0.000 0.000 0.016
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0458 0.9033 0.984 0.000 0.000 0.000 0.000 0.016
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 4 0.5775 0.5100 0.000 0.384 0.116 0.484 0.000 0.016
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.3778 0.5040 0.000 0.696 0.000 0.288 0.000 0.016
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0717 0.8283 0.000 0.976 0.000 0.016 0.000 0.008
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.1745 0.7978 0.000 0.924 0.020 0.056 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.4519 0.6219 0.000 0.024 0.584 0.384 0.000 0.008
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.4579 0.3233 0.000 0.480 0.012 0.492 0.000 0.016
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.3809 0.6910 0.000 0.812 0.000 0.088 0.052 0.048
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0146 0.8306 0.000 0.996 0.000 0.004 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0458 0.8296 0.000 0.984 0.000 0.016 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0632 0.8300 0.000 0.976 0.000 0.024 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.3349 0.6805 0.000 0.000 0.748 0.244 0.000 0.008
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.1901 0.6323 0.008 0.000 0.000 0.004 0.912 0.076
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 6 0.7788 0.0740 0.000 0.232 0.004 0.196 0.280 0.288
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0632 0.8971 0.976 0.000 0.000 0.000 0.024 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.2092 0.6124 0.000 0.000 0.876 0.000 0.000 0.124
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0547 0.8302 0.000 0.980 0.000 0.020 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.3658 0.7399 0.000 0.188 0.020 0.776 0.000 0.016
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.3804 0.5186 0.000 0.000 0.000 0.000 0.576 0.424
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.5382 -0.3644 0.000 0.460 0.068 0.456 0.000 0.016
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.2092 0.6124 0.000 0.000 0.876 0.000 0.000 0.124
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "NMF"]
# you can also extract it by
# res = res_list["CV:NMF"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17630 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 0.996 0.956 0.983 0.4882 0.512 0.512
#> 3 3 0.975 0.947 0.979 0.3197 0.768 0.579
#> 4 4 0.763 0.814 0.860 0.1435 0.853 0.615
#> 5 5 0.792 0.824 0.889 0.0679 0.859 0.541
#> 6 6 0.857 0.795 0.899 0.0435 0.928 0.690
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.3114 0.9295 0.056 0.944
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9800 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9833 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9833 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.9833 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9833 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.9800 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9800 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.9833 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9833 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9800 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9800 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9800 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 1 0.0000 0.9800 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.9833 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0376 0.9798 0.004 0.996
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.9833 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9800 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.3733 0.9125 0.072 0.928
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9800 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9833 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.9833 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9800 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9800 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.9833 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9833 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.9833 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9800 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.9833 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.7056 0.7534 0.808 0.192
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9800 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.7453 0.7263 0.212 0.788
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9800 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.9833 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9800 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.9833 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9833 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.9800 1.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9833 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.9833 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.9833 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.9833 0.000 1.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 1 0.9922 0.1834 0.552 0.448
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9800 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.9800 1.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0000 0.9833 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.8955 0.5501 0.312 0.688
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.9833 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9800 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9800 1.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.9815 0.2756 0.580 0.420
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.9833 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.9833 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.9833 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0000 0.9833 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9833 0.000 1.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.9833 0.000 1.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.9833 0.000 1.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9800 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9800 1.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.9833 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0000 0.9833 0.000 1.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9833 0.000 1.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.9833 0.000 1.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.9833 0.000 1.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.9833 0.000 1.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0000 0.9833 0.000 1.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.9833 0.000 1.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.0000 0.9833 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9800 1.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.9800 1.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.9833 0.000 1.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9800 1.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9833 0.000 1.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9800 1.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.0000 0.9833 0.000 1.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9800 1.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.9833 0.000 1.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.9833 0.000 1.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.9800 1.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.0000 0.9833 0.000 1.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.9800 1.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 2 0.1184 0.9687 0.016 0.984
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.9833 0.000 1.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0000 0.9833 0.000 1.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.9833 0.000 1.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 2 0.0000 0.9833 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.0000 0.9800 1.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.9833 0.000 1.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.9833 0.000 1.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.9833 0.000 1.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 1 0.0000 0.9800 1.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.9833 0.000 1.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0000 0.9833 0.000 1.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.9800 1.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.0000 0.9833 0.000 1.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 1 0.0000 0.9800 1.000 0.000
#> 9ECB653A-A04F-457C-92FC-D13424511A47 1 0.0376 0.9763 0.996 0.004
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.9800 1.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.9833 0.000 1.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 1 0.1633 0.9574 0.976 0.024
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.9800 1.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.9800 1.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.0000 0.9833 0.000 1.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.0000 0.9833 0.000 1.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.9833 0.000 1.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.9833 0.000 1.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.9833 0.000 1.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.0000 0.9833 0.000 1.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.9800 1.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.9800 1.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 2 0.0000 0.9833 0.000 1.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 2 0.0000 0.9833 0.000 1.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.9800 1.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.9800 1.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.9800 1.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0000 0.9833 0.000 1.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 2 0.0000 0.9833 0.000 1.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 2 0.0000 0.9833 0.000 1.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 2 0.0000 0.9833 0.000 1.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.0000 0.9800 1.000 0.000
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.0000 0.9800 1.000 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.0000 0.9800 1.000 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.6801 0.7775 0.180 0.820
#> 113340B4-B092-4B8C-8A13-5932525B0C33 1 0.0000 0.9800 1.000 0.000
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 2 0.0000 0.9833 0.000 1.000
#> 25B5E54F-5858-454C-9B23-440A82450912 1 0.2236 0.9454 0.964 0.036
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 2 0.0000 0.9833 0.000 1.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0000 0.9800 1.000 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.0000 0.9800 1.000 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.0000 0.9800 1.000 0.000
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 2 0.0000 0.9833 0.000 1.000
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0000 0.9800 1.000 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 1 0.0000 0.9800 1.000 0.000
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 2 0.0000 0.9833 0.000 1.000
#> A0A24949-483B-4250-B11E-2BCE49F302AC 2 0.0000 0.9833 0.000 1.000
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.0000 0.9800 1.000 0.000
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 2 0.0000 0.9833 0.000 1.000
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 2 0.0000 0.9833 0.000 1.000
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 1 0.0000 0.9800 1.000 0.000
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.0000 0.9800 1.000 0.000
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 2 0.9775 0.2888 0.412 0.588
#> 7604968C-689A-458D-96BA-33B163B238F8 2 0.0000 0.9833 0.000 1.000
#> 2E040577-EA0C-4876-9F43-A180DA38F733 1 0.0000 0.9800 1.000 0.000
#> 9C30E1C0-1ADE-460B-B53D-297CCA80C071 2 0.0000 0.9833 0.000 1.000
#> 4FE5EDE2-7790-4A75-9BB6-93260A8154A0 2 0.2603 0.9418 0.044 0.956
#> A4821960-9921-4B07-98CE-C4FDCA15146D 1 0.0000 0.9800 1.000 0.000
#> 8DA59514-8B25-493E-B226-818F2521B5D5 1 0.0000 0.9800 1.000 0.000
#> C9EE359E-2F42-4D20-880D-FBF8B4953731 1 0.0000 0.9800 1.000 0.000
#> F90967A5-96C6-4669-BCFB-0C51F539B0E7 2 0.0000 0.9833 0.000 1.000
#> 2482156E-29A8-4B6B-91BD-219EAC9229B5 2 0.0000 0.9833 0.000 1.000
#> 4EA4A8AE-581A-4170-8062-99645CB41337 1 0.0000 0.9800 1.000 0.000
#> C584D193-A7DD-43B1-93ED-C46F4E3313F0 2 0.0000 0.9833 0.000 1.000
#> 2FBF997D-B138-4BB4-B51E-81CEF9C0C8A3 2 0.0000 0.9833 0.000 1.000
#> 0AF0D126-507C-4DE1-B9A2-A1B8F0A089FB 2 0.0000 0.9833 0.000 1.000
#> 077523A7-E1C9-4E9F-8C9F-B9F647B4DF7C 2 0.0000 0.9833 0.000 1.000
#> 32CED7C6-C413-4B5C-8A49-8AA2C97E582D 2 0.0000 0.9833 0.000 1.000
#> 66FF1C46-83F0-4EEC-9871-448C8C7EA3AE 1 0.0000 0.9800 1.000 0.000
#> 89BE4270-8300-424E-A248-A0B00C3F5C1A 2 0.0376 0.9798 0.004 0.996
#> 0F8BE394-BA6A-401C-87D0-9B3CF50FB0C8 2 0.0000 0.9833 0.000 1.000
#> 008AE101-874B-4EB6-B811-3945E5ECCFD9 1 0.0000 0.9800 1.000 0.000
#> 67B5E93E-6F06-4247-86DD-A914279EFFC5 2 0.0000 0.9833 0.000 1.000
#> 1E2D87A6-48B8-47FA-A801-AFEA7E01E829 2 0.0000 0.9833 0.000 1.000
#> E3A67B7B-7427-4C11-912B-166451072767 2 0.0000 0.9833 0.000 1.000
#> BFC86E5F-1A88-4E87-A8C2-2434EC5D95BE 2 0.0000 0.9833 0.000 1.000
#> F226F6D3-DE88-4B15-A0F1-63EDB55E8F9D 1 0.0000 0.9800 1.000 0.000
#> DE370889-1057-4355-AFD8-CCFCDC6CD00F 1 0.0000 0.9800 1.000 0.000
#> 7E198F8E-BBAA-419D-8986-359C109FBE74 1 0.0000 0.9800 1.000 0.000
#> 8CDEDFEC-954A-4D01-AF6B-AF55CFE5FEAB 1 0.0000 0.9800 1.000 0.000
#> AA762299-102B-4E35-B4A5-A94A122EF9DB 1 0.0000 0.9800 1.000 0.000
#> 67719D37-8CC2-42B5-AF44-6D5AC258FDB1 1 0.0000 0.9800 1.000 0.000
#> 2C70D7BF-85C4-447B-B0F9-A129D6B49E77 2 0.0000 0.9833 0.000 1.000
#> BEC9AC40-7CCC-4396-8FAC-9BF05C549D84 2 0.0000 0.9833 0.000 1.000
#> 22C1A41D-014D-4EFB-AF5B-EFC3FEC1E936 1 0.0000 0.9800 1.000 0.000
#> 5F991EDF-3871-4111-9A04-BF6CA02648CA 2 0.0000 0.9833 0.000 1.000
#> 694B3BE3-104F-4D90-8733-4E99230EFAC6 2 0.0000 0.9833 0.000 1.000
#> C67163A8-8A5F-4398-AC65-167218B010CF 2 0.0000 0.9833 0.000 1.000
#> AF548E30-7121-4F9F-A2CD-F1A540E9C4EE 1 0.0000 0.9800 1.000 0.000
#> E2C7E2B8-BC9B-476C-A705-CBBCA51F7C26 2 0.0000 0.9833 0.000 1.000
#> 65DAB913-D39C-4AC4-BB1C-10E58914571F 1 0.0000 0.9800 1.000 0.000
#> 8976C50F-B340-488D-B9C1-12CCAC780397 1 0.0000 0.9800 1.000 0.000
#> 087D4EB4-61AB-4EF4-9C76-7721E7FC5E0F 2 0.0000 0.9833 0.000 1.000
#> A5D67B9F-5558-48FC-81A3-642D1903DA1F 2 0.0000 0.9833 0.000 1.000
#> 4942E435-61E6-4A43-B031-4E08F0B41186 1 0.0000 0.9800 1.000 0.000
#> 53B31ABD-AD68-4A44-A525-23FD413115D5 1 0.0000 0.9800 1.000 0.000
#> 01B819BD-664B-4D9E-B60B-9D9E8305A626 2 0.0000 0.9833 0.000 1.000
#> 6B8CAF74-45C6-4C20-8126-A99F73346198 1 0.0000 0.9800 1.000 0.000
#> 69A8CCB7-91F2-475C-8A31-64CD4E075090 2 0.0000 0.9833 0.000 1.000
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#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.9833 0.000 1.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 2 0.0000 0.9833 0.000 1.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 2 0.0000 0.9833 0.000 1.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.9800 1.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 2 0.0000 0.9833 0.000 1.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.9800 1.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.0000 0.9800 1.000 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 1 0.0000 0.9800 1.000 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.9800 1.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.9800 1.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.0000 0.9800 1.000 0.000
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.9800 1.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.9833 0.000 1.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0000 0.9833 0.000 1.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.0000 0.9800 1.000 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0000 0.9833 0.000 1.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.9800 1.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 2 0.0000 0.9833 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.9800 1.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.1843 0.9575 0.028 0.972
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.9833 0.000 1.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 2 0.0000 0.9833 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.0000 0.9833 0.000 1.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.9833 0.000 1.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.0000 0.9833 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 2 0.0000 0.9833 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.0000 0.9833 0.000 1.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 2 0.0000 0.9833 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.9800 1.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 2 0.0000 0.9833 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.0000 0.9833 0.000 1.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0000 0.9833 0.000 1.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0000 0.9833 0.000 1.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9800 1.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.0000 0.9833 0.000 1.000
#> D902E43A-F384-432A-B690-D20BFCC78443 1 0.0000 0.9800 1.000 0.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0000 0.9833 0.000 1.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.9833 0.000 1.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.3431 0.9205 0.064 0.936
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.0000 0.9833 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9800 1.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.9800 1.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9800 1.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0000 0.9833 0.000 1.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.9800 1.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9800 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.0000 0.9833 0.000 1.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9800 1.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.9833 0.000 1.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9800 1.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.9833 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.9993 0.0548 0.516 0.484
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.9800 1.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 1 0.0000 0.9800 1.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9800 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9833 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9800 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.9833 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.9833 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9800 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 1 0.0000 0.9800 1.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9800 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9833 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9800 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.9833 0.000 1.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.9833 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.9800 1.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9833 0.000 1.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9800 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9800 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.9833 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9800 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.9833 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.9833 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9800 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.9833 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.9833 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9833 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.9833 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9800 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9800 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9833 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9800 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9833 0.000 1.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.9833 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9800 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.9833 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9800 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9833 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.9833 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.0000 0.9800 1.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9800 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0376 0.9798 0.004 0.996
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.0000 0.9800 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.9833 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9800 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9800 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9800 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9833 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9800 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9800 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9833 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9833 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9833 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9833 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.9833 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.9833 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.7219 0.7482 0.200 0.800
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9833 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9833 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9833 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.9833 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9800 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0376 0.9798 0.004 0.996
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9800 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.9833 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9833 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.9833 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.9358 0.4616 0.352 0.648
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9833 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.9833 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9672 0.000 1.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9936 1.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9672 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9672 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.2878 0.8779 0.000 0.904 0.096
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9672 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.9936 1.000 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.2066 0.9250 0.940 0.060 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9661 0.000 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9672 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9936 1.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9936 1.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9936 1.000 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9672 0.000 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.0000 0.9661 0.000 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9672 0.000 1.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.1964 0.9186 0.000 0.944 0.056
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9936 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9672 0.000 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9936 1.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9672 0.000 1.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9661 0.000 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9936 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9936 1.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0000 0.9661 0.000 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9672 0.000 1.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.9661 0.000 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9936 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.9672 0.000 1.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.4796 0.7028 0.780 0.220 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9936 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.0000 0.9661 0.000 0.000 1.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9936 1.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.0000 0.9661 0.000 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9936 1.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.9672 0.000 1.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9672 0.000 1.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.9936 1.000 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9672 0.000 1.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.9672 0.000 1.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9661 0.000 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.9672 0.000 1.000 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0000 0.9672 0.000 1.000 0.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9936 1.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.9936 1.000 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.0000 0.9661 0.000 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.9672 0.000 1.000 0.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.9672 0.000 1.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9936 1.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9936 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.0747 0.9780 0.984 0.000 0.016
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.9672 0.000 1.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.9672 0.000 1.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.9672 0.000 1.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.0000 0.9661 0.000 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9672 0.000 1.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.9672 0.000 1.000 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.9672 0.000 1.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9936 1.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9936 1.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.9672 0.000 1.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0000 0.9672 0.000 1.000 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9672 0.000 1.000 0.000
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#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0000 0.9672 0.000 1.000 0.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.9661 0.000 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9936 1.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.9936 1.000 0.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9936 1.000 0.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0000 0.9672 0.000 1.000 0.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.9936 1.000 0.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9936 1.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.0000 0.9672 0.000 1.000 0.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9936 1.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.9672 0.000 1.000 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9936 1.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.1529 0.9334 0.000 0.960 0.040
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.0000 0.9672 0.000 1.000 0.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.9936 1.000 0.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0000 0.9672 0.000 1.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9936 1.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9672 0.000 1.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9936 1.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.9672 0.000 1.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0237 0.9627 0.000 0.004 0.996
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9936 1.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.9672 0.000 1.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9936 1.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9672 0.000 1.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9936 1.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 3 0.0592 0.9555 0.000 0.012 0.988
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.0000 0.9661 0.000 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.3340 0.8504 0.880 0.120 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9672 0.000 1.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9936 1.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9936 1.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.5465 0.5978 0.000 0.712 0.288
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9936 1.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.5948 0.4342 0.000 0.360 0.640
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.9672 0.000 1.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9936 1.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.9672 0.000 1.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9661 0.000 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9672 0.000 1.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9661 0.000 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9936 1.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9936 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9672 0.000 1.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9936 1.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9672 0.000 1.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9661 0.000 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9936 1.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.9672 0.000 1.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9936 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9672 0.000 1.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.9672 0.000 1.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.0000 0.9936 1.000 0.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9936 1.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9672 0.000 1.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.9672 0.000 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.9672 0.000 1.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9936 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9936 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9936 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9672 0.000 1.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9936 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9936 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.1529 0.9336 0.000 0.960 0.040
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9672 0.000 1.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9672 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9672 0.000 1.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.6111 0.3415 0.000 0.396 0.604
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.9672 0.000 1.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9672 0.000 1.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9672 0.000 1.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9672 0.000 1.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9672 0.000 1.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.9661 0.000 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9936 1.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.9672 0.000 1.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9936 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9661 0.000 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9672 0.000 1.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.9672 0.000 1.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.9672 0.000 1.000 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9672 0.000 1.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9661 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.4103 0.62545 0.256 0.744 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.1867 0.81264 0.000 0.928 0.000 0.072
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.1792 0.81544 0.000 0.932 0.000 0.068
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.4360 0.63218 0.000 0.008 0.248 0.744
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.1792 0.81544 0.000 0.932 0.000 0.068
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.4193 0.61636 0.268 0.732 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0592 0.83315 0.000 0.984 0.000 0.016
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0707 0.86445 0.980 0.020 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.4406 0.58126 0.300 0.700 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.2760 0.72902 0.128 0.872 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.3548 0.77757 0.000 0.864 0.068 0.068
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0188 0.87010 0.996 0.004 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0188 0.82481 0.004 0.996 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.4972 0.04275 0.544 0.456 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.1022 0.83311 0.000 0.968 0.000 0.032
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0817 0.86259 0.976 0.024 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0592 0.86608 0.984 0.016 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0707 0.94338 0.000 0.000 0.980 0.020
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.1940 0.80920 0.000 0.924 0.000 0.076
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0336 0.86885 0.992 0.008 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.1302 0.61230 0.044 0.000 0.000 0.956
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.1474 0.87856 0.948 0.000 0.000 0.052
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.7050 0.44473 0.252 0.180 0.568 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0336 0.87286 0.992 0.000 0.000 0.008
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0921 0.87623 0.972 0.000 0.000 0.028
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 745233F1-DF41-4DDA-9146-1666DD59355E 4 0.4477 0.81161 0.000 0.312 0.000 0.688
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.5582 0.81571 0.724 0.108 0.000 0.168
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.4193 0.86788 0.000 0.268 0.000 0.732
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.0000 0.65732 0.000 0.000 0.000 1.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.4746 0.46141 0.368 0.632 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.2081 0.73559 0.000 0.084 0.000 0.916
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.1211 0.83092 0.000 0.960 0.000 0.040
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0817 0.87563 0.976 0.000 0.000 0.024
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0592 0.86608 0.984 0.016 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.4103 0.62545 0.256 0.744 0.000 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.4804 0.34526 0.000 0.000 0.616 0.384
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.2760 0.75070 0.000 0.872 0.000 0.128
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.1637 0.82305 0.000 0.940 0.000 0.060
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.3123 0.87704 0.844 0.000 0.000 0.156
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0707 0.86445 0.980 0.020 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 4 0.4193 0.86800 0.000 0.268 0.000 0.732
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.4535 0.53096 0.000 0.704 0.292 0.004
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0592 0.83307 0.000 0.984 0.000 0.016
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.1211 0.83092 0.000 0.960 0.000 0.040
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0188 0.82899 0.000 0.996 0.000 0.004
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.3907 0.86344 0.768 0.000 0.000 0.232
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0592 0.86608 0.984 0.016 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.1211 0.83092 0.000 0.960 0.000 0.040
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> 111625A4-390B-4D8C-BF80-020062CE9D89 3 0.4800 0.61668 0.000 0.196 0.760 0.044
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.1211 0.87782 0.960 0.000 0.000 0.040
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0707 0.83389 0.000 0.980 0.000 0.020
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 4 0.4643 0.77472 0.000 0.344 0.000 0.656
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.2222 0.87875 0.924 0.016 0.000 0.060
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.5351 0.74347 0.000 0.104 0.152 0.744
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.2814 0.87869 0.868 0.000 0.000 0.132
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 4 0.4356 0.84445 0.000 0.292 0.000 0.708
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#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.4040 0.85954 0.752 0.000 0.000 0.248
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> D902E43A-F384-432A-B690-D20BFCC78443 4 0.1118 0.62464 0.036 0.000 0.000 0.964
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.4877 -0.03494 0.000 0.592 0.000 0.408
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0336 0.82245 0.008 0.992 0.000 0.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0707 0.86454 0.980 0.020 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.1151 0.83347 0.000 0.968 0.008 0.024
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.4382 0.58728 0.296 0.704 0.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0188 0.87201 0.996 0.000 0.000 0.004
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0524 0.87274 0.988 0.004 0.000 0.008
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.4360 0.87313 0.000 0.248 0.008 0.744
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.0000 0.65732 0.000 0.000 0.000 1.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0376 0.82712 0.004 0.992 0.000 0.004
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.1211 0.83092 0.000 0.960 0.000 0.040
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0592 0.86613 0.984 0.016 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0336 0.83077 0.000 0.992 0.000 0.008
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0707 0.86445 0.980 0.020 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.1557 0.82306 0.000 0.944 0.000 0.056
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.2011 0.88005 0.920 0.000 0.000 0.080
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.4454 0.47682 0.000 0.692 0.308 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.4999 -0.00427 0.000 0.000 0.508 0.492
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.7799 0.35607 0.400 0.348 0.000 0.252
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0707 0.83405 0.000 0.980 0.000 0.020
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0188 0.87010 0.996 0.004 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.5226 0.81779 0.000 0.180 0.076 0.744
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.87109 1.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.0188 0.95747 0.000 0.000 0.996 0.004
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0469 0.83199 0.000 0.988 0.000 0.012
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.3486 0.87242 0.812 0.000 0.000 0.188
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0817 0.86259 0.976 0.024 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.4331 0.84866 0.000 0.288 0.000 0.712
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.1302 0.85181 0.956 0.044 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.82706 0.000 1.000 0.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0921 0.86072 0.972 0.028 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0188 0.87010 0.996 0.004 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0592 0.83307 0.000 0.984 0.000 0.016
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.4103 0.62545 0.256 0.744 0.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.4103 0.85735 0.744 0.000 0.000 0.256
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.82706 0.000 1.000 0.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.82706 0.000 1.000 0.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0817 0.86259 0.976 0.024 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.87109 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.87109 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.4989 -0.31311 0.000 0.528 0.000 0.472
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0707 0.86445 0.980 0.020 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0188 0.87010 0.996 0.004 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.2329 0.81418 0.000 0.916 0.012 0.072
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.1302 0.82928 0.000 0.956 0.000 0.044
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0817 0.83400 0.000 0.976 0.000 0.024
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.2469 0.78000 0.000 0.892 0.000 0.108
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.1938 0.90109 0.000 0.052 0.936 0.012
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.4222 0.86451 0.000 0.272 0.000 0.728
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.1302 0.82928 0.000 0.956 0.000 0.044
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0336 0.83063 0.000 0.992 0.000 0.008
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.4996 -0.37169 0.000 0.516 0.000 0.484
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0188 0.87038 0.996 0.004 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.87109 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.96147 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.1302 0.82928 0.000 0.956 0.000 0.044
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.4103 0.87802 0.000 0.256 0.000 0.744
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.0336 0.66502 0.000 0.008 0.000 0.992
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1792 0.81544 0.000 0.932 0.000 0.068
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.96147 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.3055 0.8243 0.000 0.840 0.000 0.144 0.016
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.1538 0.8152 0.948 0.036 0.000 0.008 0.008
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0162 0.9014 0.000 0.996 0.000 0.004 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0404 0.9016 0.000 0.988 0.000 0.012 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.1798 0.8830 0.000 0.004 0.064 0.928 0.004
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.1965 0.8653 0.000 0.904 0.000 0.096 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.2484 0.8154 0.900 0.004 0.000 0.068 0.028
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.3320 0.7687 0.164 0.012 0.000 0.004 0.820
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0162 0.9002 0.000 0.996 0.000 0.000 0.004
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0794 0.8393 0.972 0.000 0.000 0.000 0.028
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.5220 0.3845 0.516 0.000 0.000 0.044 0.440
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.4829 0.7409 0.756 0.148 0.000 0.068 0.028
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.2341 0.8568 0.012 0.912 0.000 0.056 0.020
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.4138 0.3582 0.000 0.000 0.616 0.384 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.2719 0.8267 0.000 0.852 0.000 0.144 0.004
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.3213 0.8630 0.000 0.144 0.004 0.836 0.016
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.1168 0.8366 0.960 0.000 0.000 0.008 0.032
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.2267 0.8602 0.008 0.916 0.000 0.048 0.028
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.2325 0.8159 0.904 0.000 0.000 0.068 0.028
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9008 0.000 1.000 0.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0898 0.8350 0.972 0.000 0.000 0.008 0.020
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.1364 0.8397 0.952 0.000 0.000 0.036 0.012
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.2813 0.7766 0.000 0.000 0.168 0.832 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0290 0.9016 0.000 0.992 0.000 0.008 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.3958 0.8195 0.776 0.000 0.000 0.040 0.184
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.2127 0.8155 0.000 0.000 0.000 0.108 0.892
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.1792 0.8449 0.916 0.000 0.000 0.000 0.084
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.7502 0.3597 0.264 0.104 0.536 0.064 0.032
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.1331 0.8374 0.952 0.000 0.000 0.008 0.040
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.3661 0.6140 0.000 0.000 0.276 0.724 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.2074 0.8439 0.896 0.000 0.000 0.000 0.104
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.1704 0.9378 0.000 0.068 0.000 0.928 0.004
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.2230 0.8505 0.000 0.884 0.000 0.116 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.6271 0.1866 0.132 0.480 0.000 0.004 0.384
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.3586 0.6706 0.000 0.736 0.000 0.264 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.1704 0.9378 0.000 0.068 0.000 0.928 0.004
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.1478 0.8812 0.000 0.000 0.936 0.064 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.7063 0.2893 0.000 0.244 0.036 0.212 0.508
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.3562 0.6827 0.000 0.016 0.000 0.196 0.788
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.0880 0.8824 0.032 0.000 0.000 0.000 0.968
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.4965 0.7378 0.748 0.152 0.000 0.064 0.036
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.3003 0.7386 0.000 0.000 0.812 0.188 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.4106 0.5712 0.000 0.020 0.000 0.256 0.724
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.1668 0.8815 0.000 0.940 0.000 0.032 0.028
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.3143 0.8112 0.796 0.000 0.000 0.000 0.204
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0880 0.8389 0.968 0.000 0.000 0.000 0.032
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.6103 0.3622 0.524 0.384 0.000 0.064 0.028
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.3109 0.7387 0.000 0.000 0.200 0.800 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0609 0.9006 0.000 0.980 0.000 0.020 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.3409 0.7593 0.000 0.816 0.000 0.160 0.024
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.1571 0.8357 0.936 0.000 0.000 0.004 0.060
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.2104 0.8357 0.916 0.000 0.000 0.060 0.024
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.1704 0.9378 0.000 0.068 0.000 0.928 0.004
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.2966 0.7860 0.000 0.816 0.000 0.184 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.3985 0.7034 0.000 0.772 0.196 0.004 0.028
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.3818 0.7697 0.016 0.812 0.000 0.144 0.028
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.3687 0.7337 0.000 0.792 0.000 0.180 0.028
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
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#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.4576 0.7390 0.692 0.000 0.000 0.040 0.268
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.3636 0.7566 0.728 0.000 0.000 0.000 0.272
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 5 0.4273 -0.1165 0.448 0.000 0.000 0.000 0.552
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.2813 0.8042 0.000 0.832 0.000 0.168 0.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0162 0.8997 0.000 0.996 0.000 0.004 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.4663 0.5822 0.604 0.000 0.000 0.020 0.376
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.1168 0.8366 0.960 0.000 0.000 0.008 0.032
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 2 0.3875 0.7340 0.228 0.756 0.000 0.004 0.012
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.4644 0.7017 0.224 0.720 0.000 0.004 0.052
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 5 0.1043 0.8797 0.040 0.000 0.000 0.000 0.960
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.3707 0.7526 0.716 0.000 0.000 0.000 0.284
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 5 0.2795 0.8359 0.056 0.000 0.000 0.064 0.880
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0579 0.8333 0.984 0.000 0.000 0.008 0.008
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0162 0.9002 0.000 0.996 0.000 0.000 0.004
#> FC2F983B-2530-4886-B759-E2C571E2D068 3 0.4306 0.0300 0.000 0.492 0.508 0.000 0.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.0898 0.8329 0.972 0.000 0.000 0.008 0.020
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 4 0.3816 0.6236 0.000 0.304 0.000 0.696 0.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.4161 0.5854 0.608 0.000 0.000 0.000 0.392
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.1914 0.8376 0.924 0.000 0.000 0.060 0.016
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.9008 0.000 1.000 0.000 0.000 0.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.9008 0.000 1.000 0.000 0.000 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.2424 0.8370 0.000 0.868 0.000 0.132 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.1671 0.8735 0.000 0.000 0.076 0.924 0.000
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.1082 0.8281 0.964 0.000 0.000 0.008 0.028
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.2674 0.8764 0.000 0.140 0.000 0.856 0.004
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.4060 0.6508 0.640 0.000 0.000 0.000 0.360
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> D902E43A-F384-432A-B690-D20BFCC78443 5 0.2450 0.8264 0.000 0.052 0.000 0.048 0.900
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0771 0.9010 0.000 0.976 0.000 0.020 0.004
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.1483 0.8889 0.012 0.952 0.000 0.008 0.028
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.4088 0.8169 0.792 0.004 0.000 0.064 0.140
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.0955 0.8825 0.028 0.000 0.000 0.004 0.968
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.0880 0.8822 0.032 0.000 0.000 0.000 0.968
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.5071 0.0981 0.004 0.548 0.000 0.420 0.028
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.4962 0.7226 0.740 0.168 0.000 0.064 0.028
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.2074 0.8447 0.896 0.000 0.000 0.000 0.104
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.1704 0.9378 0.000 0.068 0.000 0.928 0.004
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.4325 0.7978 0.756 0.000 0.000 0.064 0.180
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.4306 0.2827 0.508 0.000 0.000 0.000 0.492
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.1943 0.8876 0.000 0.020 0.000 0.924 0.056
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.0955 0.8825 0.028 0.000 0.000 0.004 0.968
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.3659 0.7494 0.220 0.768 0.000 0.012 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 5 0.1851 0.8432 0.088 0.000 0.000 0.000 0.912
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9008 0.000 1.000 0.000 0.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 5 0.3966 0.3425 0.336 0.000 0.000 0.000 0.664
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.1168 0.8366 0.960 0.000 0.000 0.008 0.032
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.3053 0.8073 0.164 0.828 0.000 0.008 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.1168 0.8366 0.960 0.000 0.000 0.008 0.032
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0609 0.9006 0.000 0.980 0.000 0.020 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.2605 0.8344 0.852 0.000 0.000 0.000 0.148
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.3612 0.6421 0.000 0.732 0.268 0.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.2127 0.8446 0.000 0.000 0.108 0.892 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.5401 0.5760 0.072 0.656 0.000 0.012 0.260
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0703 0.8999 0.000 0.976 0.000 0.024 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.1041 0.8378 0.964 0.000 0.000 0.004 0.032
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.1197 0.8763 0.048 0.000 0.000 0.000 0.952
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.1907 0.9198 0.000 0.044 0.028 0.928 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.4136 0.8039 0.764 0.000 0.000 0.048 0.188
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.3274 0.6943 0.000 0.220 0.780 0.000 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.1197 0.8789 0.048 0.000 0.000 0.000 0.952
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0955 0.8913 0.000 0.968 0.000 0.004 0.028
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.4629 0.7592 0.704 0.000 0.000 0.052 0.244
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.3116 0.8372 0.860 0.000 0.000 0.064 0.076
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.4302 0.1125 0.000 0.480 0.000 0.520 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.1809 0.8268 0.928 0.000 0.000 0.060 0.012
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0451 0.8981 0.000 0.988 0.000 0.004 0.008
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.1830 0.8298 0.924 0.000 0.000 0.068 0.008
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.3043 0.8472 0.864 0.000 0.000 0.056 0.080
#> C543A527-3E25-4389-9722-E9325C733243 2 0.1483 0.8840 0.012 0.952 0.000 0.008 0.028
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.4829 0.7385 0.756 0.148 0.000 0.068 0.028
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.1557 0.8737 0.052 0.000 0.000 0.008 0.940
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0566 0.8970 0.000 0.984 0.000 0.004 0.012
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0798 0.9006 0.008 0.976 0.000 0.016 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.1704 0.9378 0.000 0.068 0.000 0.928 0.004
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0992 0.8358 0.968 0.000 0.000 0.008 0.024
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.1168 0.8366 0.960 0.000 0.000 0.008 0.032
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.1608 0.8469 0.928 0.000 0.000 0.000 0.072
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0794 0.8988 0.000 0.972 0.000 0.028 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.1697 0.8346 0.932 0.000 0.000 0.060 0.008
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.1041 0.8378 0.964 0.000 0.000 0.004 0.032
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0703 0.8948 0.000 0.976 0.000 0.000 0.024
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0609 0.8960 0.000 0.980 0.000 0.000 0.020
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0162 0.9002 0.000 0.996 0.000 0.000 0.004
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.1792 0.8730 0.000 0.916 0.000 0.084 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.4045 0.4343 0.000 0.356 0.644 0.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.3224 0.8074 0.000 0.824 0.000 0.160 0.016
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0162 0.9014 0.000 0.996 0.000 0.004 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.1106 0.8896 0.000 0.964 0.000 0.012 0.024
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0703 0.8999 0.000 0.976 0.000 0.024 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.2359 0.8436 0.904 0.000 0.000 0.060 0.036
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.1704 0.9378 0.000 0.068 0.000 0.928 0.004
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.2648 0.8341 0.848 0.000 0.000 0.000 0.152
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9330 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0162 0.9014 0.000 0.996 0.000 0.004 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.1608 0.9396 0.000 0.072 0.000 0.928 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.3519 0.6588 0.000 0.008 0.000 0.216 0.776
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0404 0.9016 0.000 0.988 0.000 0.012 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9330 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0363 0.90137 0.000 0.988 0.000 0.000 0.012 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.84902 1.000 0.000 0.000 0.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0547 0.90266 0.000 0.980 0.000 0.000 0.000 0.020
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0260 0.90580 0.000 0.992 0.000 0.000 0.000 0.008
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.96170 0.000 0.000 0.000 1.000 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0146 0.90624 0.000 0.996 0.000 0.000 0.000 0.004
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.3240 0.69841 0.244 0.004 0.000 0.000 0.000 0.752
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.4854 0.48609 0.088 0.292 0.000 0.000 0.620 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.94997 0.000 0.000 1.000 0.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0458 0.90340 0.000 0.984 0.000 0.000 0.000 0.016
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0632 0.84350 0.976 0.000 0.000 0.000 0.000 0.024
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 6 0.3778 0.66241 0.016 0.000 0.000 0.000 0.288 0.696
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 6 0.0146 0.71158 0.004 0.000 0.000 0.000 0.000 0.996
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.1765 0.85839 0.000 0.904 0.000 0.000 0.000 0.096
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.1556 0.87834 0.000 0.000 0.080 0.920 0.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.90615 0.000 1.000 0.000 0.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.0000 0.96170 0.000 0.000 0.000 1.000 0.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.84902 1.000 0.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.3198 0.71589 0.000 0.740 0.000 0.000 0.000 0.260
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.3659 0.27320 0.636 0.000 0.000 0.000 0.000 0.364
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0260 0.90580 0.000 0.992 0.000 0.000 0.000 0.008
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.94997 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.84902 1.000 0.000 0.000 0.000 0.000 0.000
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#> 15FB165D-6751-4894-A904-C77EA723CFCB 6 0.3563 0.60906 0.336 0.000 0.000 0.000 0.000 0.664
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0713 0.89851 0.000 0.972 0.000 0.000 0.000 0.028
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.94997 0.000 0.000 1.000 0.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 6 0.3482 0.63416 0.316 0.000 0.000 0.000 0.000 0.684
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0000 0.96170 0.000 0.000 0.000 1.000 0.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 6 0.4051 0.39882 0.432 0.000 0.000 0.000 0.008 0.560
#> C543A527-3E25-4389-9722-E9325C733243 2 0.3499 0.65456 0.000 0.680 0.000 0.000 0.000 0.320
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0000 0.96170 0.000 0.000 0.000 1.000 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 6 0.0820 0.70771 0.016 0.012 0.000 0.000 0.000 0.972
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 6 0.3695 0.53599 0.000 0.000 0.000 0.000 0.376 0.624
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.1387 0.87665 0.000 0.932 0.000 0.000 0.000 0.068
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.90615 0.000 1.000 0.000 0.000 0.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0000 0.96170 0.000 0.000 0.000 1.000 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.84902 1.000 0.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.84902 1.000 0.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.3445 0.54414 0.732 0.000 0.000 0.000 0.008 0.260
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.90615 0.000 1.000 0.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 6 0.3684 0.54882 0.372 0.000 0.000 0.000 0.000 0.628
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.84902 1.000 0.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.3351 0.69352 0.000 0.712 0.000 0.000 0.000 0.288
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.2664 0.79921 0.000 0.816 0.000 0.000 0.000 0.184
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0363 0.90479 0.000 0.988 0.000 0.000 0.000 0.012
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.90615 0.000 1.000 0.000 0.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.3854 0.10517 0.000 0.464 0.536 0.000 0.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0000 0.96170 0.000 0.000 0.000 1.000 0.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0547 0.89737 0.000 0.980 0.000 0.000 0.020 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0260 0.90580 0.000 0.992 0.000 0.000 0.000 0.008
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.3023 0.74667 0.000 0.768 0.000 0.000 0.000 0.232
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.90615 0.000 1.000 0.000 0.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.94997 0.000 0.000 1.000 0.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.4072 -0.03052 0.544 0.000 0.000 0.000 0.008 0.448
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.0000 0.96170 0.000 0.000 0.000 1.000 0.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.4482 0.22791 0.600 0.000 0.000 0.000 0.040 0.360
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.94997 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0260 0.90580 0.000 0.992 0.000 0.000 0.000 0.008
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.96170 0.000 0.000 0.000 1.000 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.1806 0.77012 0.000 0.088 0.000 0.004 0.908 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0146 0.90624 0.000 0.996 0.000 0.000 0.000 0.004
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.94997 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17630 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 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 0.343 0.776 0.879 0.4475 0.529 0.529
#> 3 3 0.350 0.580 0.734 0.3943 0.708 0.496
#> 4 4 0.408 0.427 0.623 0.1248 0.905 0.745
#> 5 5 0.461 0.416 0.646 0.0727 0.787 0.427
#> 6 6 0.523 0.468 0.643 0.0471 0.914 0.659
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.6623 0.82322 0.172 0.828
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.5946 0.80270 0.856 0.144
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.6148 0.83540 0.152 0.848
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.8144 0.74746 0.252 0.748
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.85926 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.6148 0.83526 0.152 0.848
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.9087 0.54589 0.676 0.324
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.6531 0.77657 0.832 0.168
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.85926 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.8713 0.68852 0.292 0.708
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.5737 0.80809 0.864 0.136
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.7883 0.70400 0.764 0.236
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.8016 0.68712 0.756 0.244
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.9552 0.51752 0.376 0.624
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0672 0.86122 0.008 0.992
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.7299 0.80216 0.204 0.796
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.3274 0.86275 0.060 0.940
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.84949 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.9460 0.54546 0.364 0.636
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.4690 0.82830 0.900 0.100
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.7950 0.75956 0.240 0.760
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.85926 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.84949 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.6048 0.79952 0.852 0.148
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.85926 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.7528 0.78637 0.216 0.784
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.4298 0.85942 0.088 0.912
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.84949 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0672 0.85985 0.008 0.992
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.8207 0.73386 0.256 0.744
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.84949 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 1 0.9393 0.47419 0.644 0.356
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.3274 0.84596 0.940 0.060
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.85926 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.84949 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.85926 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.7745 0.77425 0.228 0.772
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.9286 0.51085 0.656 0.344
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.5629 0.84586 0.132 0.868
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.85926 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.85926 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.6887 0.81284 0.184 0.816
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.6247 0.82988 0.156 0.844
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.9988 0.04071 0.520 0.480
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.9358 0.48506 0.648 0.352
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.2948 0.86317 0.052 0.948
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.6148 0.83250 0.152 0.848
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.6887 0.81461 0.184 0.816
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.84949 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.84949 1.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.9358 0.48506 0.648 0.352
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0938 0.86187 0.012 0.988
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0376 0.86036 0.004 0.996
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.85926 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0000 0.85926 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.7453 0.79021 0.212 0.788
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.1414 0.86214 0.020 0.980
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.5946 0.83898 0.144 0.856
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.3431 0.84477 0.936 0.064
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.3274 0.84659 0.940 0.060
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.85926 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.1843 0.86280 0.028 0.972
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.4298 0.85746 0.088 0.912
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.6438 0.82771 0.164 0.836
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.7453 0.79147 0.212 0.788
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.5178 0.85126 0.116 0.884
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0938 0.86187 0.012 0.988
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.9358 0.57483 0.352 0.648
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.3274 0.86245 0.060 0.940
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.3431 0.84477 0.936 0.064
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 2 0.8909 0.65216 0.308 0.692
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0938 0.86187 0.012 0.988
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.1414 0.85089 0.980 0.020
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.6148 0.83540 0.152 0.848
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.84949 1.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.0938 0.86187 0.012 0.988
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.2778 0.84794 0.952 0.048
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.9358 0.57483 0.352 0.648
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.5178 0.85014 0.116 0.884
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.1633 0.85095 0.976 0.024
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.1633 0.86359 0.024 0.976
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.84949 1.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.9963 0.15610 0.536 0.464
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.4298 0.85746 0.088 0.912
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.4690 0.85696 0.100 0.900
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#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.85926 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.7745 0.71675 0.772 0.228
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0376 0.84985 0.996 0.004
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.4431 0.85679 0.092 0.908
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.6048 0.79952 0.852 0.148
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.9087 0.63190 0.324 0.676
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.85926 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.2423 0.84960 0.960 0.040
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.1414 0.86282 0.020 0.980
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.84949 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.6887 0.81461 0.184 0.816
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0376 0.86039 0.004 0.996
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.9087 0.54589 0.676 0.324
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.6531 0.78305 0.832 0.168
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.9286 0.59096 0.344 0.656
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.9795 0.27627 0.584 0.416
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.85926 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.84949 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.84949 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.84949 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.6623 0.82303 0.172 0.828
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.84949 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.84949 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.6438 0.82771 0.164 0.836
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.8016 0.75460 0.244 0.756
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.9087 0.63224 0.324 0.676
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.8144 0.74697 0.252 0.748
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.5519 0.84731 0.128 0.872
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.1843 0.86373 0.028 0.972
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.6438 0.82734 0.164 0.836
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.8267 0.73448 0.260 0.740
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.8909 0.66217 0.308 0.692
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.6801 0.81741 0.180 0.820
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.6801 0.81644 0.180 0.820
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.8608 0.63390 0.716 0.284
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.1843 0.86280 0.028 0.972
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.84949 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.85926 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.7056 0.81011 0.192 0.808
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.85926 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.6247 0.82988 0.156 0.844
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.5519 0.84740 0.128 0.872
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.85926 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.5431 0.41898 0.000 0.716 0.284
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.6357 0.67911 0.652 0.336 0.012
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.5591 0.46473 0.000 0.696 0.304
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.6208 0.60887 0.048 0.752 0.200
#> CA366342-0949-4941-8AE6-984BAF032886 3 0.5905 0.63723 0.000 0.352 0.648
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.6483 0.35893 0.008 0.600 0.392
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.8132 -0.19362 0.444 0.488 0.068
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.6228 0.58178 0.624 0.372 0.004
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0892 0.68420 0.000 0.020 0.980
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.6004 0.61222 0.064 0.780 0.156
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.6113 0.71720 0.688 0.300 0.012
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.7063 0.43274 0.516 0.464 0.020
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.7346 0.44022 0.536 0.432 0.032
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.6208 0.60736 0.136 0.776 0.088
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.5291 0.68245 0.000 0.268 0.732
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.5894 0.55310 0.028 0.752 0.220
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 3 0.6180 0.44988 0.000 0.416 0.584
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.84189 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.6462 0.59430 0.116 0.764 0.120
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.5450 0.77965 0.760 0.228 0.012
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.4994 0.60574 0.024 0.816 0.160
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0592 0.68181 0.000 0.012 0.988
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.84189 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.6062 0.74258 0.708 0.276 0.016
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.3482 0.70629 0.000 0.128 0.872
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.5435 0.59140 0.024 0.784 0.192
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.6062 0.34306 0.000 0.384 0.616
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0892 0.84808 0.980 0.020 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 3 0.6095 0.58418 0.000 0.392 0.608
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.5360 0.48921 0.012 0.768 0.220
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.84189 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.8140 -0.07973 0.404 0.524 0.072
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.4346 0.82970 0.816 0.184 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.4399 0.70580 0.000 0.188 0.812
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0892 0.84794 0.980 0.020 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 3 0.5968 0.62067 0.000 0.364 0.636
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.5826 0.59205 0.032 0.764 0.204
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.7984 -0.14430 0.444 0.496 0.060
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.6205 0.37433 0.008 0.656 0.336
#> 19EBA5E0-D299-4166-834A-256294572121 3 0.5905 0.63723 0.000 0.352 0.648
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.3482 0.70629 0.000 0.128 0.872
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.5754 0.39678 0.004 0.700 0.296
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.5810 0.25859 0.000 0.664 0.336
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 2 0.7673 0.43764 0.260 0.652 0.088
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.8000 -0.09645 0.408 0.528 0.064
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.6215 0.37724 0.000 0.428 0.572
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.5859 0.23511 0.000 0.656 0.344
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.6155 0.47547 0.008 0.664 0.328
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.1643 0.85325 0.956 0.044 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.84189 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.8000 -0.09645 0.408 0.528 0.064
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 3 0.5760 0.65240 0.000 0.328 0.672
#> D35E148D-0537-4186-8B19-17915782AF18 3 0.5785 0.65338 0.000 0.332 0.668
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 3 0.5988 0.61598 0.000 0.368 0.632
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.4235 0.70732 0.000 0.176 0.824
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.5585 0.58572 0.024 0.772 0.204
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 3 0.6244 0.50989 0.000 0.440 0.560
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.6079 0.37904 0.000 0.612 0.388
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.4399 0.82776 0.812 0.188 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.4974 0.79909 0.764 0.236 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 3 0.5905 0.63723 0.000 0.352 0.648
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 3 0.6267 0.48660 0.000 0.452 0.548
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.5948 0.23616 0.000 0.640 0.360
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.5926 0.44035 0.000 0.644 0.356
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.7787 0.45828 0.064 0.588 0.348
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.6799 -0.03870 0.012 0.532 0.456
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 3 0.5760 0.65240 0.000 0.328 0.672
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.6455 0.59735 0.108 0.764 0.128
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.5070 0.54464 0.004 0.224 0.772
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.4399 0.82776 0.812 0.188 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 2 0.6151 0.52848 0.056 0.764 0.180
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 3 0.5785 0.64662 0.000 0.332 0.668
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.2625 0.85464 0.916 0.084 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.5650 0.45133 0.000 0.688 0.312
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.2796 0.85406 0.908 0.092 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 3 0.5621 0.66364 0.000 0.308 0.692
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.4605 0.81892 0.796 0.204 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.6455 0.59735 0.108 0.764 0.128
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.6529 0.19916 0.012 0.620 0.368
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.3551 0.84242 0.868 0.132 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 3 0.5291 0.66264 0.000 0.268 0.732
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.2959 0.85317 0.900 0.100 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 2 0.9228 0.21907 0.316 0.508 0.176
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.5948 0.23616 0.000 0.640 0.360
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.6577 0.12428 0.008 0.572 0.420
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.5623 0.45336 0.004 0.716 0.280
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0592 0.68181 0.000 0.012 0.988
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 2 0.5850 0.52370 0.040 0.772 0.188
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.6168 0.58555 0.036 0.740 0.224
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.7495 0.55039 0.248 0.668 0.084
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.5588 0.45961 0.004 0.720 0.276
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.7607 0.26292 0.364 0.584 0.052
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.5901 0.60923 0.048 0.776 0.176
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.6451 0.41072 0.008 0.608 0.384
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 2 0.7559 0.21407 0.336 0.608 0.056
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.5016 0.69576 0.000 0.240 0.760
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 2 0.6027 0.43000 0.016 0.712 0.272
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.6585 0.56256 0.200 0.736 0.064
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0592 0.84577 0.988 0.012 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.6066 0.51975 0.024 0.728 0.248
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.7915 -0.29199 0.456 0.488 0.056
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0747 0.84724 0.984 0.016 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.2625 0.85464 0.916 0.084 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.6825 -0.18313 0.012 0.500 0.488
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.6437 0.59059 0.048 0.732 0.220
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.5058 0.60840 0.032 0.820 0.148
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.6737 0.59399 0.100 0.744 0.156
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.6262 0.52669 0.020 0.696 0.284
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.6189 0.32402 0.004 0.364 0.632
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.84189 1.000 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.5115 0.80096 0.768 0.228 0.004
#> 37A8E941-F86F-449A-86E4-833AC349111F 3 0.5785 0.65323 0.000 0.332 0.668
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.5678 0.40276 0.000 0.316 0.684
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.84189 1.000 0.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.1753 0.85379 0.952 0.048 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.5285 0.79017 0.752 0.244 0.004
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.6157 0.61449 0.092 0.780 0.128
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0592 0.68181 0.000 0.012 0.988
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0747 0.68332 0.000 0.016 0.984
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 3 0.5905 0.63723 0.000 0.352 0.648
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.6357 0.67911 0.652 0.336 0.012
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.6677 0.69032 0.652 0.324 0.024
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.5098 0.79263 0.752 0.248 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.6361 0.57091 0.040 0.728 0.232
#> 113340B4-B092-4B8C-8A13-5932525B0C33 2 0.7772 0.51715 0.196 0.672 0.132
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 3 0.5016 0.68592 0.000 0.240 0.760
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.6590 0.61429 0.112 0.756 0.132
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 3 0.3619 0.70606 0.000 0.136 0.864
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0424 0.84473 0.992 0.008 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.2796 0.85406 0.908 0.092 0.000
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#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.5619 0.53477 0.012 0.744 0.244
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.84189 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.84189 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.5926 0.44035 0.000 0.644 0.356
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.5521 0.60263 0.032 0.788 0.180
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.6144 0.61305 0.088 0.780 0.132
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.5901 0.60923 0.048 0.776 0.176
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.6738 0.29679 0.020 0.624 0.356
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 3 0.6079 0.55023 0.000 0.388 0.612
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.5591 0.36040 0.000 0.696 0.304
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.5346 0.61042 0.040 0.808 0.152
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.6318 0.59260 0.068 0.760 0.172
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.5578 0.54357 0.012 0.748 0.240
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.6467 0.40291 0.008 0.604 0.388
#> A280A4AF-0687-40CA-8804-C6173B33E732 2 0.7178 -0.23578 0.464 0.512 0.024
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 3 0.6267 0.48660 0.000 0.452 0.548
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.2066 0.85478 0.940 0.060 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0592 0.68181 0.000 0.012 0.988
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.6066 0.51697 0.024 0.728 0.248
#> 293E6D35-8392-4C44-BC18-F917989516B0 3 0.5905 0.63723 0.000 0.352 0.648
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.5835 0.24900 0.000 0.660 0.340
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.6209 0.34383 0.004 0.628 0.368
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0592 0.68181 0.000 0.012 0.988
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.6253 -0.06121 0.000 0.564 0.064 0.372
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.7580 0.45806 0.476 0.296 0.000 0.228
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.5186 0.39879 0.000 0.752 0.164 0.084
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.4817 0.41665 0.000 0.784 0.088 0.128
#> CA366342-0949-4941-8AE6-984BAF032886 3 0.7900 0.34497 0.000 0.332 0.368 0.300
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.6428 0.37093 0.000 0.624 0.264 0.112
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.7950 -0.02177 0.232 0.444 0.008 0.316
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.6957 0.48086 0.580 0.172 0.000 0.248
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.1174 0.61501 0.000 0.012 0.968 0.020
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.4353 0.39719 0.004 0.820 0.060 0.116
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.7534 0.48949 0.492 0.268 0.000 0.240
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 4 0.8053 -0.22706 0.296 0.332 0.004 0.368
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.8111 -0.26084 0.340 0.388 0.008 0.264
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.5174 0.31408 0.072 0.784 0.020 0.124
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.7241 0.48588 0.000 0.276 0.536 0.188
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.5387 0.33885 0.016 0.764 0.076 0.144
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.7349 -0.14948 0.000 0.456 0.384 0.160
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0336 0.75759 0.992 0.000 0.000 0.008
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.5258 0.32580 0.008 0.732 0.040 0.220
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.7064 0.57972 0.572 0.220 0.000 0.208
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.2919 0.41273 0.000 0.896 0.060 0.044
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.60935 0.000 0.000 1.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0188 0.75926 0.996 0.000 0.000 0.004
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.7343 0.56691 0.552 0.232 0.004 0.212
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.5051 0.59486 0.000 0.132 0.768 0.100
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.3621 0.40908 0.000 0.860 0.072 0.068
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.7119 0.11582 0.000 0.388 0.480 0.132
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.1888 0.77056 0.940 0.016 0.000 0.044
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.7909 -0.27119 0.000 0.364 0.324 0.312
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.5320 0.47250 0.000 0.416 0.012 0.572
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0336 0.75759 0.992 0.000 0.000 0.008
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.8273 0.02948 0.196 0.468 0.032 0.304
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.5220 0.74063 0.752 0.092 0.000 0.156
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.6147 0.56249 0.000 0.200 0.672 0.128
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.1174 0.76618 0.968 0.012 0.000 0.020
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 3 0.7910 0.31719 0.000 0.344 0.352 0.304
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.4161 0.41840 0.008 0.840 0.076 0.076
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.8433 -0.09143 0.284 0.432 0.028 0.256
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.5815 0.33400 0.000 0.708 0.152 0.140
#> 19EBA5E0-D299-4166-834A-256294572121 3 0.7900 0.34497 0.000 0.332 0.368 0.300
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.5051 0.59486 0.000 0.132 0.768 0.100
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.6708 -0.18500 0.004 0.524 0.080 0.392
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.6163 0.31572 0.000 0.416 0.052 0.532
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 4 0.7506 0.46242 0.220 0.288 0.000 0.492
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.8298 0.02663 0.200 0.464 0.032 0.304
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.7354 -0.07288 0.000 0.452 0.388 0.160
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.6285 0.30783 0.000 0.412 0.060 0.528
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.6351 0.36730 0.000 0.628 0.268 0.104
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.2546 0.77395 0.912 0.028 0.000 0.060
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0188 0.75926 0.996 0.000 0.000 0.004
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.8298 0.02663 0.200 0.464 0.032 0.304
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 3 0.7641 0.41711 0.000 0.324 0.452 0.224
#> D35E148D-0537-4186-8B19-17915782AF18 3 0.7756 0.40272 0.000 0.320 0.428 0.252
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 3 0.7911 0.30971 0.000 0.348 0.348 0.304
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.6065 0.57060 0.000 0.176 0.684 0.140
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.3970 0.40448 0.000 0.840 0.076 0.084
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.7850 -0.15910 0.000 0.388 0.272 0.340
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.6567 0.35037 0.000 0.588 0.308 0.104
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.5265 0.73865 0.748 0.092 0.000 0.160
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.6921 0.65013 0.580 0.160 0.000 0.260
#> 332283CB-F855-4493-A259-7852FD37B9DC 3 0.7900 0.34497 0.000 0.332 0.368 0.300
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.7815 -0.12857 0.000 0.392 0.256 0.352
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.6609 0.21751 0.000 0.620 0.144 0.236
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.6262 0.36706 0.000 0.628 0.280 0.092
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.7808 0.32464 0.052 0.560 0.272 0.116
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.7300 0.16123 0.000 0.516 0.304 0.180
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 3 0.7641 0.41711 0.000 0.324 0.452 0.224
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.5349 0.33763 0.008 0.732 0.048 0.212
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.5346 0.43433 0.000 0.192 0.732 0.076
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.5265 0.73865 0.748 0.092 0.000 0.160
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 4 0.5847 0.52038 0.036 0.404 0.000 0.560
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 3 0.7617 0.40758 0.000 0.332 0.452 0.216
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.3716 0.76885 0.852 0.052 0.000 0.096
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.5165 0.39650 0.000 0.752 0.168 0.080
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.3764 0.76479 0.844 0.040 0.000 0.116
#> 111625A4-390B-4D8C-BF80-020062CE9D89 3 0.7481 0.44691 0.000 0.308 0.488 0.204
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.5248 0.72848 0.748 0.088 0.000 0.164
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.5349 0.33763 0.008 0.732 0.048 0.212
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.7216 0.07966 0.004 0.540 0.148 0.308
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.4635 0.74763 0.796 0.080 0.000 0.124
#> 800E78BA-08BE-463B-ABBA-45255B48362B 3 0.6641 0.47574 0.000 0.276 0.600 0.124
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.4100 0.76322 0.824 0.048 0.000 0.128
#> 27875588-7C41-49BB-A4C0-A66D72A12499 2 0.9364 -0.03056 0.172 0.424 0.148 0.256
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.6609 0.21751 0.000 0.620 0.144 0.236
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.6690 0.29256 0.000 0.608 0.248 0.144
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.5515 0.32699 0.000 0.732 0.116 0.152
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.60935 0.000 0.000 1.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 4 0.5508 0.51570 0.020 0.408 0.000 0.572
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.6023 0.38391 0.012 0.716 0.136 0.136
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.6831 0.11647 0.168 0.640 0.012 0.180
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.5507 0.32360 0.000 0.732 0.112 0.156
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.7300 -0.06378 0.276 0.528 0.000 0.196
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.3968 0.39470 0.016 0.856 0.056 0.072
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.6336 0.35266 0.000 0.608 0.304 0.088
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 4 0.8403 0.28884 0.276 0.316 0.020 0.388
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.7220 0.50423 0.000 0.240 0.548 0.212
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 2 0.6715 -0.32238 0.016 0.484 0.052 0.448
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.6297 0.18548 0.140 0.692 0.012 0.156
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.1004 0.76504 0.972 0.004 0.000 0.024
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.5532 0.31233 0.004 0.736 0.092 0.168
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 4 0.8424 -0.09761 0.240 0.368 0.024 0.368
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0779 0.76340 0.980 0.004 0.000 0.016
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.4015 0.76437 0.832 0.052 0.000 0.116
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.7540 0.03896 0.000 0.468 0.328 0.204
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.4438 0.41107 0.020 0.832 0.084 0.064
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.2944 0.41405 0.004 0.900 0.052 0.044
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.5811 0.34173 0.008 0.708 0.076 0.208
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.5032 0.42089 0.004 0.772 0.152 0.072
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.6200 0.18374 0.000 0.356 0.580 0.064
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0336 0.75759 0.992 0.000 0.000 0.008
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.5759 0.70856 0.708 0.112 0.000 0.180
#> 37A8E941-F86F-449A-86E4-833AC349111F 3 0.7756 0.40327 0.000 0.320 0.428 0.252
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.6049 0.30160 0.000 0.264 0.652 0.084
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0336 0.75759 0.992 0.000 0.000 0.008
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.2385 0.77312 0.920 0.028 0.000 0.052
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.6922 0.65229 0.584 0.168 0.000 0.248
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.4471 0.37090 0.004 0.796 0.036 0.164
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.60935 0.000 0.000 1.000 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0672 0.61295 0.000 0.008 0.984 0.008
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 3 0.7900 0.34497 0.000 0.332 0.368 0.300
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.7580 0.45806 0.476 0.296 0.000 0.228
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.7825 0.48569 0.460 0.260 0.004 0.276
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.6957 0.64539 0.580 0.172 0.000 0.248
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.5054 0.38275 0.016 0.792 0.092 0.100
#> 113340B4-B092-4B8C-8A13-5932525B0C33 4 0.7589 0.47928 0.164 0.340 0.008 0.488
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 3 0.6469 0.51663 0.000 0.248 0.628 0.124
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.5998 0.28233 0.060 0.728 0.040 0.172
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 3 0.5382 0.59070 0.000 0.124 0.744 0.132
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.1109 0.76513 0.968 0.004 0.000 0.028
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.3706 0.76513 0.848 0.040 0.000 0.112
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.4055 0.77243 0.832 0.060 0.000 0.108
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 2 0.6535 0.33230 0.000 0.588 0.312 0.100
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0524 0.75945 0.988 0.004 0.000 0.008
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.5174 0.31408 0.072 0.784 0.020 0.124
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 3 0.7900 0.34497 0.000 0.332 0.368 0.300
#> A0A24949-483B-4250-B11E-2BCE49F302AC 3 0.4037 0.59104 0.000 0.112 0.832 0.056
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.5512 0.72708 0.728 0.100 0.000 0.172
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 2 0.7521 -0.22483 0.000 0.420 0.396 0.184
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#> D837BDD1-8786-4548-8D5F-8506AECF2006 3 0.7668 0.37556 0.000 0.348 0.432 0.220
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0336 0.75759 0.992 0.000 0.000 0.008
#> C543A527-3E25-4389-9722-E9325C733243 2 0.6351 0.36730 0.000 0.628 0.268 0.104
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 3 0.7620 0.42345 0.000 0.324 0.456 0.220
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.7950 -0.02177 0.232 0.444 0.008 0.316
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.7823 0.42719 0.408 0.272 0.000 0.320
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.4832 0.35957 0.024 0.796 0.036 0.144
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.7300 -0.06378 0.276 0.528 0.000 0.196
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 3 0.7910 0.31719 0.000 0.344 0.352 0.304
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0336 0.75759 0.992 0.000 0.000 0.008
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0336 0.75759 0.992 0.000 0.000 0.008
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0524 0.75945 0.988 0.004 0.000 0.008
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.4297 0.39466 0.000 0.820 0.096 0.084
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0592 0.76031 0.984 0.000 0.000 0.016
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0336 0.75759 0.992 0.000 0.000 0.008
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.6262 0.36706 0.000 0.628 0.280 0.092
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.3705 0.42596 0.004 0.860 0.084 0.052
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.4375 0.37278 0.008 0.812 0.036 0.144
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.3968 0.39470 0.016 0.856 0.056 0.072
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.6852 0.23584 0.004 0.616 0.172 0.208
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 3 0.7566 0.29088 0.000 0.392 0.416 0.192
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.6425 -0.18283 0.000 0.508 0.068 0.424
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.2944 0.41483 0.004 0.900 0.052 0.044
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.5754 0.36647 0.004 0.716 0.096 0.184
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.4285 0.40670 0.000 0.820 0.104 0.076
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.6391 0.35088 0.000 0.604 0.304 0.092
#> A280A4AF-0687-40CA-8804-C6173B33E732 2 0.7919 -0.27182 0.316 0.348 0.000 0.336
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.7815 -0.12857 0.000 0.392 0.256 0.352
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.2871 0.77393 0.896 0.032 0.000 0.072
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.60935 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.5513 0.30542 0.004 0.736 0.088 0.172
#> 293E6D35-8392-4C44-BC18-F917989516B0 3 0.7900 0.34497 0.000 0.332 0.368 0.300
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.6222 0.31606 0.000 0.412 0.056 0.532
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.5499 0.37086 0.000 0.712 0.216 0.072
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.60935 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.6131 0.345508 0.000 0.232 0.016 0.608 0.144
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.7004 -0.468659 0.272 0.380 0.000 0.008 0.340
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.5921 0.029246 0.000 0.456 0.088 0.452 0.004
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.5425 0.415306 0.000 0.628 0.040 0.308 0.024
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.2891 0.607691 0.000 0.000 0.176 0.824 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.6947 0.194918 0.000 0.448 0.208 0.328 0.016
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.5279 -0.026402 0.124 0.688 0.000 0.004 0.184
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.7252 -0.187895 0.424 0.156 0.000 0.048 0.372
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.1341 0.818914 0.000 0.000 0.944 0.056 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.4626 0.488802 0.000 0.728 0.020 0.224 0.028
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.6896 -0.451745 0.288 0.400 0.000 0.004 0.308
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.5783 0.485588 0.052 0.384 0.000 0.020 0.544
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.5979 -0.211382 0.220 0.588 0.000 0.000 0.192
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.5839 0.500126 0.036 0.676 0.004 0.196 0.088
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.5402 0.309433 0.000 0.048 0.420 0.528 0.004
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.5752 -0.050020 0.004 0.448 0.016 0.492 0.040
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.6278 0.495667 0.000 0.180 0.264 0.552 0.004
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0162 0.690212 0.996 0.000 0.000 0.000 0.004
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.4082 0.510452 0.000 0.788 0.008 0.160 0.044
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.6736 -0.199805 0.396 0.344 0.000 0.000 0.260
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.4851 0.376339 0.000 0.620 0.020 0.352 0.008
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.836472 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0290 0.692332 0.992 0.000 0.000 0.000 0.008
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.6948 -0.288903 0.356 0.336 0.000 0.004 0.304
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.3983 0.450219 0.000 0.000 0.660 0.340 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.4860 0.241038 0.000 0.540 0.016 0.440 0.004
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.7038 -0.006339 0.000 0.316 0.412 0.260 0.012
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.2130 0.699430 0.908 0.012 0.000 0.000 0.080
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.2583 0.606831 0.000 0.000 0.132 0.864 0.004
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.6164 0.204870 0.000 0.108 0.008 0.504 0.380
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0162 0.690212 0.996 0.000 0.000 0.000 0.004
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.5388 0.037189 0.068 0.684 0.024 0.000 0.224
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.5829 0.383762 0.572 0.088 0.000 0.008 0.332
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.4473 0.248639 0.000 0.008 0.580 0.412 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.1251 0.701865 0.956 0.008 0.000 0.000 0.036
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.2732 0.610895 0.000 0.000 0.160 0.840 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.5200 0.292778 0.008 0.572 0.024 0.392 0.004
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.6970 -0.361649 0.116 0.428 0.016 0.020 0.420
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.5303 0.243458 0.000 0.372 0.048 0.576 0.004
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.2891 0.607691 0.000 0.000 0.176 0.824 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.3983 0.450219 0.000 0.000 0.660 0.340 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.6405 0.341504 0.000 0.188 0.036 0.612 0.164
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.4522 0.411056 0.000 0.068 0.000 0.736 0.196
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.7226 0.345917 0.100 0.112 0.000 0.260 0.528
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.5416 0.030607 0.068 0.680 0.024 0.000 0.228
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.6768 0.442515 0.000 0.208 0.248 0.524 0.020
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.4643 0.415590 0.000 0.068 0.004 0.736 0.192
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.6454 0.389498 0.000 0.568 0.228 0.188 0.016
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.3409 0.667291 0.816 0.024 0.000 0.000 0.160
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0162 0.693970 0.996 0.000 0.000 0.000 0.004
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.5416 0.030607 0.068 0.680 0.024 0.000 0.228
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.4748 0.533266 0.000 0.040 0.300 0.660 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.4065 0.565601 0.000 0.016 0.264 0.720 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.2848 0.610434 0.000 0.000 0.156 0.840 0.004
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.4283 0.145447 0.000 0.000 0.544 0.456 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.5152 0.236601 0.000 0.536 0.016 0.432 0.016
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.2577 0.592766 0.000 0.008 0.084 0.892 0.016
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.6887 0.331698 0.000 0.508 0.268 0.200 0.024
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.5888 0.366289 0.564 0.092 0.000 0.008 0.336
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 5 0.6592 0.332623 0.320 0.180 0.000 0.008 0.492
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.2929 0.606224 0.000 0.000 0.180 0.820 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.2492 0.586399 0.000 0.008 0.072 0.900 0.020
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 4 0.4633 0.397753 0.000 0.264 0.016 0.700 0.020
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.6789 0.366969 0.000 0.532 0.236 0.208 0.024
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.7901 0.348816 0.016 0.472 0.224 0.220 0.068
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.6404 0.385604 0.000 0.288 0.184 0.524 0.004
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.4748 0.533266 0.000 0.040 0.300 0.660 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.4268 0.508724 0.000 0.776 0.012 0.168 0.044
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.4745 0.614333 0.000 0.216 0.724 0.048 0.012
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.5888 0.366289 0.564 0.092 0.000 0.008 0.336
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 4 0.6669 0.096453 0.024 0.124 0.000 0.456 0.396
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.5086 0.529516 0.000 0.060 0.304 0.636 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.4693 0.592651 0.724 0.080 0.000 0.000 0.196
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 4 0.5961 -0.020888 0.000 0.448 0.092 0.456 0.004
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.4661 0.529846 0.656 0.032 0.000 0.000 0.312
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.5119 0.447668 0.000 0.048 0.360 0.592 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.5607 0.289410 0.524 0.064 0.000 0.004 0.408
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.4268 0.508724 0.000 0.776 0.012 0.168 0.044
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 4 0.4477 0.462961 0.000 0.188 0.016 0.756 0.040
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.5402 0.469468 0.664 0.108 0.000 0.004 0.224
#> 800E78BA-08BE-463B-ABBA-45255B48362B 3 0.5736 0.118382 0.000 0.080 0.544 0.372 0.004
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.4804 0.513422 0.636 0.036 0.000 0.000 0.328
#> 27875588-7C41-49BB-A4C0-A66D72A12499 2 0.7224 -0.168098 0.020 0.420 0.140 0.020 0.400
#> 7AE107A7-8EA7-4920-A579-2337C007920D 4 0.4633 0.397753 0.000 0.264 0.016 0.700 0.020
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 4 0.6744 0.299453 0.000 0.300 0.160 0.516 0.024
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 4 0.5080 0.162734 0.000 0.396 0.012 0.572 0.020
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.836472 0.000 0.000 1.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 4 0.6333 0.127283 0.008 0.124 0.000 0.468 0.400
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.7189 0.403491 0.004 0.516 0.100 0.300 0.080
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.7429 0.387978 0.080 0.500 0.000 0.252 0.168
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 4 0.5161 0.160887 0.000 0.396 0.012 0.568 0.024
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.8195 0.071386 0.168 0.412 0.000 0.192 0.228
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.5402 0.319231 0.004 0.552 0.012 0.404 0.028
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.6581 0.359175 0.000 0.548 0.264 0.168 0.020
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.7665 0.452724 0.120 0.212 0.016 0.116 0.536
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.4138 0.341781 0.000 0.000 0.384 0.616 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 4 0.5980 0.313812 0.000 0.164 0.008 0.616 0.212
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.6672 0.416082 0.068 0.608 0.000 0.176 0.148
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.1638 0.702664 0.932 0.004 0.000 0.000 0.064
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 4 0.5370 0.105818 0.000 0.408 0.008 0.544 0.040
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 5 0.6190 0.390675 0.044 0.456 0.020 0.016 0.464
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.1282 0.701881 0.952 0.004 0.000 0.000 0.044
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.4994 0.560621 0.696 0.096 0.000 0.000 0.208
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.6420 0.434102 0.000 0.256 0.208 0.532 0.004
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.5618 0.293498 0.000 0.556 0.028 0.384 0.032
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.4703 0.417234 0.000 0.660 0.016 0.312 0.012
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.4831 0.506212 0.000 0.748 0.040 0.172 0.040
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.6374 0.259074 0.000 0.508 0.088 0.376 0.028
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.6128 0.301290 0.000 0.312 0.568 0.104 0.016
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0162 0.690212 0.996 0.000 0.000 0.000 0.004
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.5972 0.177940 0.488 0.084 0.000 0.008 0.420
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.4090 0.561092 0.000 0.016 0.268 0.716 0.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.5514 0.455085 0.000 0.284 0.636 0.064 0.016
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0162 0.690212 0.996 0.000 0.000 0.000 0.004
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.3565 0.658874 0.800 0.024 0.000 0.000 0.176
#> 33233781-A799-4610-86FC-C836713D31AA 5 0.6377 0.221619 0.380 0.168 0.000 0.000 0.452
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#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 4 0.6333 0.127283 0.008 0.124 0.000 0.468 0.400
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.6791 0.562620 0.152 0.272 0.000 0.036 0.540
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.5722 0.451427 0.000 0.664 0.136 0.184 0.016
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.6651 -0.391852 0.300 0.444 0.000 0.000 0.256
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.1251 0.701865 0.956 0.008 0.000 0.000 0.036
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.2367 0.586275 0.000 0.004 0.072 0.904 0.020
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.4890 0.570621 0.680 0.064 0.000 0.000 0.256
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.3010 0.612438 0.000 0.000 0.172 0.824 0.004
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 5 0.6555 0.313135 0.320 0.160 0.000 0.012 0.508
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.4150 0.336274 0.000 0.000 0.388 0.612 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.2492 0.586399 0.000 0.008 0.072 0.900 0.020
#> 1FB9316D-4674-4D97-A33B-649F53D09487 4 0.7221 0.096879 0.056 0.148 0.000 0.476 0.320
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.7669 0.151666 0.136 0.500 0.000 0.156 0.208
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.4565 0.539493 0.664 0.028 0.000 0.000 0.308
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.4890 0.379451 0.000 0.628 0.024 0.340 0.008
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.5771 0.214483 0.500 0.076 0.000 0.004 0.420
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.2929 0.606224 0.000 0.000 0.180 0.820 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.3958 0.668199 0.000 0.044 0.780 0.176 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0162 0.690212 0.996 0.000 0.000 0.000 0.004
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.7916 0.054111 0.132 0.448 0.000 0.168 0.252
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0162 0.690212 0.996 0.000 0.000 0.000 0.004
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.5143 0.326522 0.000 0.576 0.012 0.388 0.024
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.1106 0.691909 0.964 0.012 0.000 0.000 0.024
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.6525 0.355672 0.000 0.548 0.264 0.172 0.016
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.4256 0.208008 0.000 0.000 0.436 0.564 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.7954 -0.103288 0.116 0.400 0.000 0.168 0.316
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 4 0.4598 0.332503 0.000 0.312 0.008 0.664 0.016
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.691895 1.000 0.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.7065 0.438897 0.160 0.112 0.000 0.148 0.580
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.4201 0.288579 0.000 0.000 0.592 0.408 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.4851 0.497181 0.624 0.036 0.000 0.000 0.340
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.6797 0.341943 0.000 0.520 0.240 0.220 0.020
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.5333 0.532915 0.000 0.068 0.300 0.628 0.004
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.6734 0.516920 0.224 0.240 0.000 0.016 0.520
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.3003 0.607123 0.000 0.000 0.188 0.812 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.2732 0.728038 0.000 0.000 0.840 0.160 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.4347 0.503834 0.000 0.756 0.016 0.200 0.028
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.836472 0.000 0.000 1.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.6699 0.544432 0.136 0.348 0.012 0.008 0.496
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.2900 0.690037 0.864 0.028 0.000 0.000 0.108
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.4560 0.389241 0.000 0.268 0.012 0.700 0.020
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.6948 -0.288903 0.356 0.336 0.000 0.004 0.304
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.4285 0.501770 0.000 0.752 0.008 0.208 0.032
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.836472 0.000 0.000 1.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.5078 0.438467 0.692 0.040 0.000 0.024 0.244
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.5198 0.552597 0.000 0.064 0.284 0.648 0.004
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.691895 1.000 0.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.6454 0.389498 0.000 0.568 0.228 0.188 0.016
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.4677 0.536323 0.000 0.036 0.300 0.664 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.5279 -0.026402 0.124 0.688 0.000 0.004 0.184
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.6443 0.550789 0.152 0.280 0.000 0.016 0.552
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.4342 0.510087 0.004 0.760 0.008 0.196 0.032
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.8195 0.071386 0.168 0.412 0.000 0.192 0.228
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.2732 0.610895 0.000 0.000 0.160 0.840 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0162 0.690212 0.996 0.000 0.000 0.000 0.004
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0162 0.690212 0.996 0.000 0.000 0.000 0.004
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.1041 0.701218 0.964 0.004 0.000 0.000 0.032
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 4 0.4907 -0.089701 0.000 0.488 0.024 0.488 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0771 0.698308 0.976 0.004 0.000 0.000 0.020
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.691895 1.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.6789 0.366969 0.000 0.532 0.236 0.208 0.024
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.5082 0.429083 0.000 0.656 0.040 0.292 0.012
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.4140 0.503276 0.000 0.764 0.008 0.200 0.028
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.5402 0.319231 0.004 0.552 0.012 0.404 0.028
#> 635170D3-D669-4165-B69C-9C9A246BFF11 4 0.6108 0.349588 0.000 0.300 0.068 0.592 0.040
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.5870 0.541795 0.000 0.124 0.276 0.596 0.004
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.5786 0.382221 0.000 0.168 0.012 0.652 0.168
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.4739 0.410077 0.000 0.652 0.016 0.320 0.012
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.5201 0.495438 0.000 0.724 0.060 0.176 0.040
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.5190 0.106854 0.000 0.496 0.032 0.468 0.004
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.6525 0.355672 0.000 0.548 0.264 0.172 0.016
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.6225 0.535169 0.080 0.264 0.000 0.048 0.608
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.2492 0.586399 0.000 0.008 0.072 0.900 0.020
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.3527 0.658001 0.804 0.024 0.000 0.000 0.172
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.836472 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 4 0.5258 0.114025 0.000 0.408 0.004 0.548 0.040
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.3048 0.608561 0.000 0.000 0.176 0.820 0.004
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.4677 0.413013 0.000 0.068 0.004 0.732 0.196
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 4 0.6438 0.141110 0.000 0.380 0.128 0.480 0.012
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.836472 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.6267 0.14093 0.000 0.276 0.004 0.456 0.256 0.008
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 6 0.7303 0.53296 0.236 0.216 0.000 0.000 0.136 0.412
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.5163 0.38854 0.000 0.572 0.044 0.360 0.020 0.004
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.4717 0.58889 0.000 0.732 0.020 0.180 0.036 0.032
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.1700 0.62294 0.000 0.004 0.080 0.916 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.6321 0.40623 0.000 0.536 0.184 0.244 0.012 0.024
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.6652 -0.20082 0.096 0.484 0.000 0.000 0.120 0.300
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.7307 -0.15304 0.376 0.080 0.000 0.016 0.352 0.176
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.1349 0.82141 0.000 0.004 0.940 0.056 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.4183 0.60468 0.000 0.792 0.016 0.108 0.024 0.060
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 6 0.7193 0.52900 0.244 0.216 0.000 0.000 0.116 0.424
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 6 0.4906 0.42348 0.000 0.236 0.004 0.008 0.084 0.668
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.7250 -0.41225 0.180 0.396 0.000 0.000 0.128 0.296
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.5390 0.53785 0.020 0.712 0.000 0.092 0.076 0.100
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.5209 0.43141 0.000 0.092 0.344 0.560 0.004 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.5687 0.37711 0.000 0.548 0.004 0.328 0.104 0.016
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.5966 0.43499 0.000 0.264 0.196 0.528 0.008 0.004
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0405 0.68656 0.988 0.000 0.000 0.000 0.008 0.004
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.3861 0.53535 0.000 0.808 0.004 0.044 0.036 0.108
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 6 0.7213 0.41120 0.348 0.156 0.000 0.000 0.132 0.364
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.4430 0.57397 0.000 0.740 0.012 0.188 0.044 0.016
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0146 0.84067 0.000 0.000 0.996 0.004 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0260 0.68780 0.992 0.000 0.000 0.000 0.008 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 6 0.7125 0.47295 0.316 0.164 0.000 0.000 0.116 0.404
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.3862 0.33366 0.000 0.004 0.608 0.388 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.4667 0.50678 0.000 0.668 0.008 0.276 0.036 0.012
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.6707 -0.00844 0.000 0.360 0.384 0.224 0.012 0.020
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.1958 0.68955 0.896 0.004 0.000 0.000 0.000 0.100
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.2151 0.60380 0.000 0.024 0.048 0.912 0.016 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.5797 0.62849 0.000 0.088 0.000 0.292 0.572 0.048
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0146 0.68774 0.996 0.000 0.000 0.000 0.004 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.6483 -0.16215 0.028 0.468 0.012 0.000 0.152 0.340
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.5786 0.32399 0.540 0.024 0.000 0.000 0.116 0.320
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.4258 0.10670 0.000 0.016 0.516 0.468 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.1285 0.69795 0.944 0.000 0.000 0.000 0.004 0.052
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.1584 0.62095 0.000 0.008 0.064 0.928 0.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.4697 0.53040 0.004 0.676 0.008 0.268 0.032 0.012
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 6 0.6939 0.41455 0.080 0.236 0.000 0.000 0.236 0.448
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.5172 -0.11565 0.000 0.468 0.016 0.472 0.040 0.004
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.1700 0.62294 0.000 0.004 0.080 0.916 0.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.3852 0.34366 0.000 0.004 0.612 0.384 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.6798 -0.08573 0.000 0.228 0.028 0.420 0.312 0.012
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.5299 -0.15571 0.000 0.072 0.000 0.520 0.396 0.012
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.6687 0.56612 0.056 0.052 0.000 0.112 0.580 0.200
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.6490 -0.16961 0.028 0.464 0.012 0.000 0.152 0.344
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.6660 0.31497 0.000 0.300 0.212 0.452 0.020 0.016
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.5387 -0.09163 0.000 0.072 0.004 0.540 0.372 0.012
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.5513 0.50625 0.000 0.660 0.216 0.068 0.024 0.032
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.3089 0.64691 0.800 0.004 0.000 0.000 0.008 0.188
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0405 0.68962 0.988 0.000 0.000 0.000 0.008 0.004
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.6490 -0.16961 0.028 0.464 0.012 0.000 0.152 0.344
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.4305 0.61879 0.000 0.076 0.216 0.708 0.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.3522 0.63917 0.000 0.044 0.172 0.784 0.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.1976 0.61516 0.000 0.016 0.060 0.916 0.008 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.3868 0.00945 0.000 0.000 0.492 0.508 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.4756 0.50667 0.000 0.668 0.008 0.264 0.052 0.008
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.2924 0.56765 0.000 0.040 0.024 0.868 0.068 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.6048 0.45538 0.000 0.596 0.256 0.084 0.024 0.040
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.5831 0.30467 0.532 0.024 0.000 0.000 0.120 0.324
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 6 0.5884 0.43303 0.248 0.084 0.004 0.004 0.052 0.608
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.1753 0.62412 0.000 0.004 0.084 0.912 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.3021 0.55488 0.000 0.044 0.020 0.860 0.076 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 4 0.5125 0.19729 0.000 0.360 0.000 0.556 0.080 0.004
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.5951 0.48955 0.000 0.624 0.224 0.084 0.028 0.040
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.7292 0.45753 0.000 0.524 0.208 0.116 0.072 0.080
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.5835 0.22671 0.000 0.388 0.128 0.472 0.008 0.004
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#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 4 0.6028 0.39911 0.000 0.288 0.192 0.508 0.008 0.004
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 6 0.6525 0.36516 0.036 0.248 0.000 0.000 0.252 0.464
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#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 6 0.5664 0.08490 0.412 0.052 0.000 0.000 0.048 0.488
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 4 0.5917 -0.01445 0.000 0.416 0.000 0.428 0.144 0.012
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 3 0.0146 0.84067 0.000 0.000 0.996 0.004 0.000 0.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 6 0.7462 0.26079 0.004 0.236 0.124 0.004 0.212 0.420
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#> BDC31CC4-927C-49B1-819B-5119AA8422E8 4 0.1584 0.62095 0.000 0.008 0.064 0.928 0.000 0.000
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#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.4587 0.45189 0.588 0.004 0.000 0.000 0.036 0.372
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#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.3883 0.58728 0.000 0.812 0.004 0.080 0.036 0.068
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.6261 0.12833 0.000 0.432 0.116 0.416 0.020 0.016
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 6 0.7209 0.52991 0.240 0.216 0.000 0.000 0.120 0.424
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 4 0.5125 0.19729 0.000 0.360 0.000 0.556 0.080 0.004
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.4594 0.41354 0.560 0.004 0.000 0.000 0.032 0.404
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0146 0.84067 0.000 0.000 0.996 0.004 0.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.4707 0.52399 0.684 0.036 0.000 0.000 0.036 0.244
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.6131 0.55699 0.000 0.656 0.112 0.116 0.072 0.044
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.5550 0.24314 0.000 0.512 0.000 0.368 0.112 0.008
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0865 0.83229 0.000 0.000 0.964 0.036 0.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.1643 0.81220 0.000 0.008 0.924 0.068 0.000 0.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 4 0.4988 0.03899 0.000 0.424 0.004 0.520 0.048 0.004
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.3647 0.36209 0.000 0.000 0.360 0.640 0.000 0.000
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0146 0.84067 0.000 0.000 0.996 0.004 0.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.1643 0.81220 0.000 0.008 0.924 0.068 0.000 0.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0937 0.83176 0.000 0.000 0.960 0.040 0.000 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 6 0.7209 0.52991 0.240 0.216 0.000 0.000 0.120 0.424
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0146 0.84067 0.000 0.000 0.996 0.004 0.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.4550 0.61096 0.000 0.224 0.712 0.024 0.008 0.032
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.5588 0.52835 0.000 0.200 0.208 0.584 0.008 0.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.1753 0.62412 0.000 0.004 0.084 0.912 0.000 0.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.4533 0.45166 0.588 0.004 0.000 0.000 0.032 0.376
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.5338 0.41463 0.000 0.324 0.596 0.032 0.012 0.036
#> D902E43A-F384-432A-B690-D20BFCC78443 4 0.5508 -0.19306 0.000 0.092 0.000 0.496 0.400 0.012
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.4278 0.62007 0.000 0.076 0.212 0.712 0.000 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.5241 0.24210 0.000 0.524 0.004 0.396 0.072 0.004
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.3886 0.59695 0.000 0.812 0.004 0.088 0.044 0.052
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0146 0.84067 0.000 0.000 0.996 0.004 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.5505 0.29922 0.608 0.068 0.000 0.000 0.048 0.276
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.5788 0.67350 0.000 0.092 0.000 0.244 0.604 0.060
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 6 0.6160 0.50270 0.096 0.144 0.000 0.012 0.120 0.628
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.4989 0.54568 0.000 0.736 0.128 0.072 0.020 0.044
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 6 0.7389 0.50414 0.256 0.244 0.000 0.000 0.128 0.372
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.1285 0.69795 0.944 0.000 0.000 0.000 0.004 0.052
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.2883 0.55171 0.000 0.036 0.020 0.868 0.076 0.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.4454 0.52029 0.652 0.020 0.000 0.000 0.020 0.308
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.2207 0.62286 0.000 0.016 0.076 0.900 0.008 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 6 0.5805 0.41213 0.248 0.068 0.004 0.004 0.060 0.616
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.3428 0.46453 0.000 0.000 0.304 0.696 0.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.2953 0.55193 0.000 0.040 0.020 0.864 0.076 0.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.7209 0.61038 0.044 0.104 0.000 0.288 0.480 0.084
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.7850 0.10129 0.108 0.448 0.000 0.064 0.200 0.180
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.4446 0.46827 0.600 0.004 0.000 0.000 0.028 0.368
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.4366 0.57522 0.000 0.744 0.012 0.188 0.040 0.016
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.6006 0.12904 0.448 0.020 0.000 0.000 0.136 0.396
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.1753 0.62412 0.000 0.004 0.084 0.912 0.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.3861 0.65942 0.000 0.060 0.756 0.184 0.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0405 0.68656 0.988 0.000 0.000 0.000 0.008 0.004
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.8086 -0.01456 0.104 0.400 0.000 0.072 0.220 0.204
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0146 0.68774 0.996 0.000 0.000 0.000 0.004 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.4900 0.54865 0.000 0.688 0.008 0.220 0.068 0.016
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0865 0.68718 0.964 0.000 0.000 0.000 0.000 0.036
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.6076 0.46663 0.000 0.592 0.256 0.088 0.020 0.044
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.3647 0.36209 0.000 0.000 0.360 0.640 0.000 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.8248 -0.18409 0.092 0.336 0.000 0.080 0.252 0.240
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 4 0.5165 0.07936 0.000 0.404 0.000 0.516 0.076 0.004
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0291 0.68942 0.992 0.000 0.000 0.000 0.004 0.004
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.6787 0.40747 0.120 0.044 0.000 0.048 0.540 0.248
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.3857 0.12157 0.000 0.000 0.532 0.468 0.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.4594 0.41354 0.560 0.004 0.000 0.000 0.032 0.404
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.6324 0.48317 0.000 0.576 0.228 0.136 0.020 0.040
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.5149 0.58781 0.000 0.128 0.224 0.640 0.008 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 6 0.6099 0.55111 0.176 0.116 0.000 0.008 0.080 0.620
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.2020 0.63095 0.000 0.008 0.096 0.896 0.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.2871 0.69483 0.000 0.004 0.804 0.192 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.3937 0.59324 0.000 0.812 0.008 0.080 0.036 0.064
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0146 0.84067 0.000 0.000 0.996 0.004 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 6 0.6338 0.56006 0.104 0.184 0.000 0.004 0.120 0.588
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.2706 0.67098 0.832 0.008 0.000 0.000 0.000 0.160
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.5158 0.18461 0.000 0.356 0.000 0.556 0.084 0.004
#> 15FB165D-6751-4894-A904-C77EA723CFCB 6 0.7125 0.47295 0.316 0.164 0.000 0.000 0.116 0.404
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.3878 0.59100 0.000 0.812 0.004 0.084 0.036 0.064
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0146 0.84067 0.000 0.000 0.996 0.004 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.6655 0.15207 0.496 0.016 0.004 0.024 0.184 0.276
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.5001 0.59705 0.000 0.120 0.212 0.660 0.008 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0260 0.69003 0.992 0.000 0.000 0.000 0.000 0.008
#> C543A527-3E25-4389-9722-E9325C733243 2 0.5579 0.50493 0.000 0.656 0.216 0.068 0.024 0.036
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.4307 0.61997 0.000 0.072 0.224 0.704 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.6652 -0.20082 0.096 0.484 0.000 0.000 0.120 0.300
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 6 0.5667 0.53649 0.096 0.152 0.000 0.008 0.076 0.668
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.3883 0.58728 0.000 0.812 0.004 0.080 0.036 0.068
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.7989 -0.02744 0.132 0.400 0.000 0.052 0.252 0.164
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.1584 0.62095 0.000 0.008 0.064 0.928 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.68676 1.000 0.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0405 0.68656 0.988 0.000 0.000 0.000 0.008 0.004
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0937 0.69656 0.960 0.000 0.000 0.000 0.000 0.040
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.4741 0.41594 0.000 0.604 0.008 0.352 0.028 0.008
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0790 0.69495 0.968 0.000 0.000 0.000 0.000 0.032
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0291 0.68942 0.992 0.000 0.000 0.000 0.004 0.004
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.5951 0.48955 0.000 0.624 0.224 0.084 0.028 0.040
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.4479 0.59439 0.000 0.752 0.032 0.168 0.020 0.028
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.3812 0.59240 0.000 0.816 0.004 0.080 0.032 0.068
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.4996 0.53641 0.000 0.668 0.004 0.240 0.068 0.020
#> 635170D3-D669-4165-B69C-9C9A246BFF11 4 0.6348 0.06240 0.000 0.392 0.044 0.452 0.104 0.008
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.5588 0.52835 0.000 0.200 0.208 0.584 0.008 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.6133 0.06239 0.000 0.208 0.004 0.484 0.296 0.008
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.4299 0.58522 0.000 0.748 0.008 0.188 0.028 0.028
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.4552 0.56538 0.000 0.780 0.056 0.060 0.024 0.080
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.4607 0.44336 0.000 0.624 0.012 0.336 0.024 0.004
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.6076 0.46663 0.000 0.592 0.256 0.088 0.020 0.044
#> A280A4AF-0687-40CA-8804-C6173B33E732 6 0.6338 0.29135 0.032 0.136 0.000 0.016 0.276 0.540
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.3021 0.55488 0.000 0.044 0.020 0.860 0.076 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.3459 0.63041 0.768 0.004 0.000 0.000 0.016 0.212
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0146 0.84067 0.000 0.000 0.996 0.004 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.5550 0.24314 0.000 0.512 0.000 0.368 0.112 0.008
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.1812 0.62335 0.000 0.008 0.080 0.912 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.5379 -0.14591 0.000 0.068 0.004 0.524 0.392 0.012
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.5842 0.23899 0.000 0.488 0.080 0.400 0.024 0.008
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0146 0.84067 0.000 0.000 0.996 0.004 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17630 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 0.972 0.989 0.4746 0.527 0.527
#> 3 3 0.830 0.851 0.929 0.3722 0.780 0.593
#> 4 4 0.679 0.632 0.686 0.1127 0.905 0.740
#> 5 5 0.803 0.787 0.839 0.0774 0.865 0.583
#> 6 6 0.894 0.881 0.919 0.0433 0.951 0.782
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9891 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9883 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9891 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9891 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.9891 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9891 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.9883 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9883 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.9891 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9891 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9883 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.9970 0.1141 0.532 0.468
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9883 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.7883 0.6887 0.236 0.764
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.9891 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9891 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.9891 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9883 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9891 0.000 1.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9883 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9891 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.9891 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9883 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9883 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.9891 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9891 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.9891 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9883 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.9891 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.0000 0.9891 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9883 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.8144 0.6608 0.252 0.748
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9883 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.9891 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9883 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.9891 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9891 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.9883 1.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9891 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.9891 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.9891 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.9891 0.000 1.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0000 0.9891 0.000 1.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9883 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.9883 1.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0000 0.9891 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.9891 0.000 1.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.9891 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9883 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9883 1.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.9754 0.3097 0.408 0.592
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.9891 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.9891 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.9891 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0000 0.9891 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9891 0.000 1.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.9891 0.000 1.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.9891 0.000 1.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9883 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9883 1.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.9891 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0000 0.9891 0.000 1.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9891 0.000 1.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.9891 0.000 1.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.9891 0.000 1.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.9891 0.000 1.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0000 0.9891 0.000 1.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.9891 0.000 1.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.0000 0.9891 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9883 1.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.9883 1.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.9891 0.000 1.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9883 1.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9891 0.000 1.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9883 1.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.0000 0.9891 0.000 1.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9883 1.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.9891 0.000 1.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.9891 0.000 1.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.9883 1.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.0000 0.9891 0.000 1.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.9883 1.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.8327 0.6414 0.736 0.264
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.9891 0.000 1.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0000 0.9891 0.000 1.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.9891 0.000 1.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 2 0.0000 0.9891 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.0000 0.9883 1.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.9891 0.000 1.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.9891 0.000 1.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.9891 0.000 1.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 1 0.0000 0.9883 1.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.9891 0.000 1.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0000 0.9891 0.000 1.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.9883 1.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.0000 0.9891 0.000 1.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 2 0.9996 0.0429 0.488 0.512
#> 9ECB653A-A04F-457C-92FC-D13424511A47 1 0.4298 0.8967 0.912 0.088
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.9883 1.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.9891 0.000 1.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.0000 0.9891 0.000 1.000
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.9883 1.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.9883 1.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.0000 0.9891 0.000 1.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.0000 0.9891 0.000 1.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.9891 0.000 1.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.9891 0.000 1.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.9891 0.000 1.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.0000 0.9891 0.000 1.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.9883 1.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.9883 1.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 2 0.0000 0.9891 0.000 1.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 2 0.0000 0.9891 0.000 1.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.9883 1.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.9883 1.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.9883 1.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0000 0.9891 0.000 1.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 2 0.0000 0.9891 0.000 1.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 2 0.0000 0.9891 0.000 1.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 2 0.0000 0.9891 0.000 1.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.0000 0.9883 1.000 0.000
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.0000 0.9883 1.000 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.0000 0.9883 1.000 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.0000 0.9891 0.000 1.000
#> 113340B4-B092-4B8C-8A13-5932525B0C33 2 0.9129 0.5119 0.328 0.672
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 2 0.0000 0.9891 0.000 1.000
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.0376 0.9853 0.004 0.996
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 2 0.0000 0.9891 0.000 1.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0000 0.9883 1.000 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.0000 0.9883 1.000 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.0000 0.9883 1.000 0.000
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 2 0.0000 0.9891 0.000 1.000
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0000 0.9883 1.000 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.0000 0.9891 0.000 1.000
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 2 0.0000 0.9891 0.000 1.000
#> A0A24949-483B-4250-B11E-2BCE49F302AC 2 0.0000 0.9891 0.000 1.000
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.0000 0.9883 1.000 0.000
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 2 0.0000 0.9891 0.000 1.000
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 2 0.0000 0.9891 0.000 1.000
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 1 0.6623 0.7914 0.828 0.172
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.0000 0.9883 1.000 0.000
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 2 0.0000 0.9891 0.000 1.000
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#> 0876D5B1-AA68-4E43-8BBE-9EE2CDC6879E 2 0.0000 0.9891 0.000 1.000
#> D42E39B0-7962-4880-A182-4596DB01B202 2 0.0000 0.9891 0.000 1.000
#> 84778027-9C8E-4364-9069-70D8B86D6916 2 0.0000 0.9891 0.000 1.000
#> C635C019-A66D-42B7-911C-4D0742CAF95A 1 0.0000 0.9883 1.000 0.000
#> 1667B17C-C5E2-4E65-98FF-A6DDE44CC4B6 2 0.0000 0.9891 0.000 1.000
#> 1C62E679-3A4E-4D10-8BFB-5BFBF2A3B4B6 1 0.0000 0.9883 1.000 0.000
#> 39777F3A-0854-4C8E-9FF4-9A1369C4733D 2 0.0000 0.9891 0.000 1.000
#> AC25E68C-76EA-40E0-912F-29C632BC0996 1 0.0000 0.9883 1.000 0.000
#> 3DA19761-6FF3-4E8C-AA0F-C04CE2CE7037 2 0.0000 0.9891 0.000 1.000
#> 2E401C42-010F-4AFC-A362-B69426418626 1 0.0000 0.9883 1.000 0.000
#> 913D6292-6507-4F86-A120-137CEACE5C9F 2 0.0000 0.9891 0.000 1.000
#> F35F85A8-B3CD-4116-990F-94B2E432F902 2 0.0000 0.9891 0.000 1.000
#> EEE5E45B-D2E3-4CFA-AC5F-8AE1EC2CB61C 2 0.0000 0.9891 0.000 1.000
#> 7B6D13EE-FE13-4BA8-BA65-1A10307A7936 2 0.0000 0.9891 0.000 1.000
#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.0000 0.9891 0.000 1.000
#> A130FABA-F55F-412D-940E-7305057B4D1A 2 0.0000 0.9891 0.000 1.000
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 2 0.0000 0.9891 0.000 1.000
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 1 0.0000 0.9883 1.000 0.000
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 1 0.0000 0.9883 1.000 0.000
#> E3887082-4C43-426C-8580-ECAA4EFEC577 2 0.0000 0.9891 0.000 1.000
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 1 0.9358 0.4579 0.648 0.352
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 2 0.0000 0.9891 0.000 1.000
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 2 0.0000 0.9891 0.000 1.000
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 2 0.0000 0.9891 0.000 1.000
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 1 0.0000 0.9883 1.000 0.000
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.0000 0.9883 1.000 0.000
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 2 0.0000 0.9891 0.000 1.000
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0000 0.9883 1.000 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 1 0.1633 0.9652 0.976 0.024
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 2 0.0000 0.9891 0.000 1.000
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.0000 0.9883 1.000 0.000
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0000 0.9891 0.000 1.000
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 2 0.0000 0.9891 0.000 1.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 2 0.0000 0.9891 0.000 1.000
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.0000 0.9891 0.000 1.000
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.0000 0.9883 1.000 0.000
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.9883 1.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 2 0.0000 0.9891 0.000 1.000
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 1 0.0000 0.9883 1.000 0.000
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 2 0.0000 0.9891 0.000 1.000
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0000 0.9883 1.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.9883 1.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.9883 1.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0000 0.9891 0.000 1.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 2 0.0000 0.9891 0.000 1.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 2 0.0000 0.9891 0.000 1.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.9891 0.000 1.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 2 0.0000 0.9891 0.000 1.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 2 0.0000 0.9891 0.000 1.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.9883 1.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 2 0.0000 0.9891 0.000 1.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.9883 1.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.0000 0.9883 1.000 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 1 0.0000 0.9883 1.000 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.9883 1.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.9883 1.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 2 0.8955 0.5462 0.312 0.688
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.9883 1.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.9891 0.000 1.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0000 0.9891 0.000 1.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.0000 0.9883 1.000 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0000 0.9891 0.000 1.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.9883 1.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 2 0.0000 0.9891 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.9883 1.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.9891 0.000 1.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.9891 0.000 1.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 2 0.0000 0.9891 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.0000 0.9891 0.000 1.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.9891 0.000 1.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.0000 0.9891 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 2 0.0000 0.9891 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.0000 0.9891 0.000 1.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 2 0.0000 0.9891 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.9883 1.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 2 0.0000 0.9891 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.0000 0.9891 0.000 1.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0000 0.9891 0.000 1.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0000 0.9891 0.000 1.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9883 1.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.0000 0.9891 0.000 1.000
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.0000 0.9891 0.000 1.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0000 0.9891 0.000 1.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.9891 0.000 1.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0000 0.9891 0.000 1.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.0000 0.9891 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9883 1.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.9883 1.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9883 1.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0000 0.9891 0.000 1.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.9883 1.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9883 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.0000 0.9891 0.000 1.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9883 1.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.9891 0.000 1.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9883 1.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.9891 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.7219 0.7468 0.200 0.800
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.9883 1.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 1 0.1633 0.9652 0.976 0.024
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9883 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9891 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9883 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.9891 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.9891 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9883 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.3431 0.9238 0.064 0.936
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9883 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9891 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9883 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.9891 0.000 1.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.9891 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.9883 1.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9891 0.000 1.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9883 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9883 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.9891 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9883 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.9891 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.9891 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9883 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.9891 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.9891 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9891 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.9891 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9883 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9883 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9891 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9883 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9891 0.000 1.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.9891 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9883 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.9891 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9883 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9891 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.9891 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.7376 0.7361 0.792 0.208
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9883 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9891 0.000 1.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.0000 0.9883 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.9891 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9883 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9883 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9883 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9891 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9883 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9883 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9891 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9891 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9891 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9891 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.9891 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.9891 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9891 0.000 1.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9891 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9891 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9891 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.9891 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9883 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.9891 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9883 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.9891 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9891 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.9891 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.9891 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9891 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.9891 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0237 0.93688 0.000 0.996 0.004
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0237 0.96719 0.996 0.000 0.004
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.93859 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.93859 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 3 0.5810 0.66181 0.000 0.336 0.664
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.93859 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.3941 0.80649 0.844 0.156 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0237 0.96719 0.996 0.000 0.004
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0424 0.82724 0.000 0.008 0.992
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.93859 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.96729 1.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.4291 0.75256 0.820 0.180 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.96729 1.000 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.93859 0.000 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.1163 0.82481 0.000 0.028 0.972
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0237 0.93688 0.000 0.996 0.004
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.1529 0.90292 0.000 0.960 0.040
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0237 0.96719 0.996 0.000 0.004
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.93859 0.000 1.000 0.000
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#> 61496AD6-7265-4D58-87CC-4FEE9723106E 3 0.0424 0.82724 0.000 0.008 0.992
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.1289 0.91089 0.000 0.968 0.032
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.0237 0.96719 0.996 0.000 0.004
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0237 0.96719 0.996 0.000 0.004
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 3 0.0424 0.82724 0.000 0.008 0.992
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 1 0.3983 0.82320 0.852 0.144 0.004
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 3 0.6095 0.58337 0.000 0.392 0.608
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0000 0.96729 1.000 0.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.96729 1.000 0.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.96729 1.000 0.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0237 0.93688 0.000 0.996 0.004
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0424 0.82724 0.000 0.008 0.992
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0424 0.82724 0.000 0.008 0.992
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.93859 0.000 1.000 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0424 0.82724 0.000 0.008 0.992
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0424 0.82724 0.000 0.008 0.992
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.96729 1.000 0.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0424 0.82724 0.000 0.008 0.992
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0237 0.96719 0.996 0.000 0.004
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.5070 0.71553 0.772 0.224 0.004
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.3272 0.80897 0.104 0.892 0.004
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0237 0.96719 0.996 0.000 0.004
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0237 0.96719 0.996 0.000 0.004
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.7575 0.05250 0.504 0.456 0.040
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0237 0.96719 0.996 0.000 0.004
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.93859 0.000 1.000 0.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0747 0.92631 0.000 0.984 0.016
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.2796 0.87847 0.908 0.092 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0237 0.93688 0.000 0.996 0.004
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.96729 1.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0424 0.82724 0.000 0.008 0.992
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0237 0.96719 0.996 0.000 0.004
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.93859 0.000 1.000 0.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.93859 0.000 1.000 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0424 0.82724 0.000 0.008 0.992
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.0424 0.82724 0.000 0.008 0.992
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0237 0.93688 0.000 0.996 0.004
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 3 0.4399 0.75905 0.000 0.188 0.812
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0424 0.82724 0.000 0.008 0.992
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.1529 0.82239 0.000 0.040 0.960
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0424 0.82724 0.000 0.008 0.992
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.96729 1.000 0.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0424 0.82724 0.000 0.008 0.992
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.0424 0.82724 0.000 0.008 0.992
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.1163 0.91492 0.000 0.972 0.028
#> 4D9EF242-9F58-4681-ADCF-556E05932931 3 0.5948 0.63905 0.000 0.360 0.640
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.96729 1.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.0424 0.82724 0.000 0.008 0.992
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.0237 0.93688 0.000 0.996 0.004
#> D5E8379B-621C-4551-9B13-E63B1B068488 3 0.5948 0.63905 0.000 0.360 0.640
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.93859 0.000 1.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0000 0.93859 0.000 1.000 0.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0424 0.82724 0.000 0.008 0.992
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.96729 1.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.1267 0.94557 0.972 0.024 0.004
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.96729 1.000 0.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0747 0.92650 0.000 0.984 0.016
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.96729 1.000 0.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.96729 1.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 3 0.6267 0.44849 0.000 0.452 0.548
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.96729 1.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 3 0.6008 0.61941 0.000 0.372 0.628
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.96729 1.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 3 0.5835 0.65836 0.000 0.340 0.660
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.4172 0.79889 0.104 0.868 0.028
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.0475 0.93284 0.004 0.992 0.004
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0475 0.93284 0.004 0.992 0.004
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.96729 1.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.93859 0.000 1.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0237 0.96719 0.996 0.000 0.004
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 3 0.5948 0.63905 0.000 0.360 0.640
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.1643 0.82127 0.000 0.044 0.956
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0237 0.96719 0.996 0.000 0.004
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0475 0.93284 0.004 0.992 0.004
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0237 0.96719 0.996 0.000 0.004
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.93859 0.000 1.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0237 0.96719 0.996 0.000 0.004
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.93859 0.000 1.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.1411 0.82243 0.000 0.036 0.964
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.3715 0.84085 0.868 0.128 0.004
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.93859 0.000 1.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0237 0.96719 0.996 0.000 0.004
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0237 0.96719 0.996 0.000 0.004
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.1411 0.82243 0.000 0.036 0.964
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.96729 1.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.93859 0.000 1.000 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 3 0.6192 0.52498 0.000 0.420 0.580
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.96729 1.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 3 0.5948 0.63905 0.000 0.360 0.640
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0424 0.82724 0.000 0.008 0.992
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.93859 0.000 1.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0424 0.82724 0.000 0.008 0.992
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.96729 1.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.96729 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0237 0.93688 0.000 0.996 0.004
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.96729 1.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.93859 0.000 1.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0424 0.82724 0.000 0.008 0.992
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0237 0.96719 0.996 0.000 0.004
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.6295 -0.21311 0.000 0.528 0.472
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0237 0.96719 0.996 0.000 0.004
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.93859 0.000 1.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 3 0.5948 0.63905 0.000 0.360 0.640
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.6260 0.21539 0.552 0.448 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.96729 1.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.93859 0.000 1.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0475 0.93284 0.004 0.992 0.004
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0424 0.93489 0.000 0.992 0.008
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0237 0.96719 0.996 0.000 0.004
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0237 0.96719 0.996 0.000 0.004
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.96729 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.93859 0.000 1.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0237 0.96719 0.996 0.000 0.004
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0237 0.96719 0.996 0.000 0.004
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.93859 0.000 1.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.93859 0.000 1.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.93859 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.93859 0.000 1.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.93859 0.000 1.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.2796 0.83929 0.000 0.908 0.092
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0237 0.93688 0.000 0.996 0.004
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.93859 0.000 1.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.93859 0.000 1.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.93859 0.000 1.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.4842 0.65161 0.000 0.776 0.224
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.96729 1.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.1753 0.89804 0.000 0.952 0.048
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.96729 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0424 0.82724 0.000 0.008 0.992
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.93859 0.000 1.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 3 0.5948 0.63905 0.000 0.360 0.640
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0237 0.93688 0.000 0.996 0.004
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.93859 0.000 1.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0424 0.82724 0.000 0.008 0.992
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.1004 0.89016 0.000 0.972 0.004 0.024
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.4826 0.54885 0.716 0.020 0.264 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.1004 0.89022 0.000 0.972 0.004 0.024
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.1004 0.89022 0.000 0.972 0.004 0.024
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.3219 0.64549 0.000 0.164 0.000 0.836
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0779 0.89177 0.000 0.980 0.004 0.016
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.7707 -0.14482 0.440 0.240 0.320 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.4905 0.24651 0.632 0.004 0.364 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0817 0.88691 0.000 0.976 0.024 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.4472 0.61837 0.760 0.020 0.220 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 3 0.6350 0.28580 0.440 0.016 0.512 0.032
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.5384 0.40913 0.648 0.028 0.324 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.2589 0.82779 0.000 0.884 0.116 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.1576 0.63114 0.000 0.048 0.004 0.948
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.1004 0.89016 0.000 0.972 0.004 0.024
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.2831 0.80559 0.000 0.876 0.004 0.120
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.2281 0.84456 0.000 0.904 0.096 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.4910 0.52526 0.704 0.020 0.276 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0469 0.88986 0.000 0.988 0.012 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.3074 0.71437 0.848 0.000 0.152 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.0524 0.61661 0.000 0.008 0.004 0.988
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.1151 0.89045 0.000 0.968 0.008 0.024
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.1722 0.63115 0.000 0.048 0.008 0.944
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.3710 0.62982 0.000 0.192 0.004 0.804
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.6827 0.30121 0.000 0.128 0.304 0.568
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.6386 0.38328 0.064 0.572 0.360 0.004
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0592 0.78507 0.984 0.000 0.016 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.1576 0.63114 0.000 0.048 0.004 0.948
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.78843 1.000 0.000 0.000 0.000
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#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 2 0.4981 0.29791 0.000 0.536 0.464 0.000
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 4 0.3400 0.63838 0.000 0.180 0.000 0.820
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.3172 0.70786 0.840 0.000 0.160 0.000
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.1004 0.89016 0.000 0.972 0.004 0.024
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.1902 0.86168 0.000 0.932 0.004 0.064
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.4866 0.19116 0.596 0.000 0.404 0.000
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 3 0.7253 0.39466 0.364 0.152 0.484 0.000
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 4 0.3356 0.64069 0.000 0.176 0.000 0.824
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.4134 0.59543 0.740 0.000 0.260 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0817 0.78267 0.976 0.000 0.024 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.1004 0.89016 0.000 0.972 0.004 0.024
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 56D3154E-E779-4C27-8305-FEE7310B6762 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0469 0.88986 0.000 0.988 0.012 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.3942 0.62875 0.764 0.000 0.236 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 3 0.7494 0.39835 0.312 0.204 0.484 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.5163 0.24290 0.004 0.516 0.480 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.3311 0.60439 0.828 0.000 0.172 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.1557 0.76931 0.944 0.000 0.056 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 3 0.8439 0.39486 0.244 0.044 0.484 0.228
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.1557 0.76931 0.944 0.000 0.056 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.2345 0.84144 0.000 0.900 0.100 0.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.1004 0.89022 0.000 0.972 0.004 0.024
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.7149 0.04917 0.528 0.156 0.316 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.5158 0.05033 0.000 0.524 0.004 0.472
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.1389 0.87817 0.000 0.952 0.048 0.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0336 0.89054 0.000 0.992 0.008 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 4 0.5771 0.51997 0.000 0.028 0.460 0.512
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.1004 0.89016 0.000 0.972 0.004 0.024
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.2868 0.64417 0.000 0.136 0.000 0.864
#> AE988295-3046-4778-81C5-B787CAC92268 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 4 0.1743 0.63315 0.000 0.056 0.004 0.940
#> B11FF528-846E-4E40-9E32-E5820ECB5504 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.4323 0.63267 0.776 0.020 0.204 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.4999 -0.50262 0.000 0.000 0.508 0.492
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.2944 0.79477 0.000 0.868 0.004 0.128
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.3266 0.64419 0.000 0.168 0.000 0.832
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 4 0.5693 0.48712 0.000 0.024 0.472 0.504
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.4464 0.72096 0.000 0.768 0.208 0.024
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.3266 0.64419 0.000 0.168 0.000 0.832
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0895 0.89098 0.000 0.976 0.004 0.020
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.2647 0.82453 0.000 0.880 0.120 0.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.2469 0.74435 0.892 0.000 0.108 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 3 0.6678 0.28254 0.452 0.044 0.484 0.020
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 3 0.5000 0.12082 0.500 0.000 0.500 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.1284 0.88179 0.000 0.964 0.012 0.024
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.5271 0.42671 0.656 0.024 0.320 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.6634 0.45550 0.000 0.212 0.164 0.624
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.3266 0.69920 0.832 0.000 0.168 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.3444 0.63654 0.000 0.184 0.000 0.816
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0336 0.78641 0.992 0.000 0.008 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.3219 0.64549 0.000 0.164 0.000 0.836
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.7563 0.21165 0.000 0.220 0.304 0.476
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.5237 0.53974 0.000 0.628 0.356 0.016
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.3801 0.72101 0.000 0.780 0.220 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0188 0.78705 0.996 0.000 0.004 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0336 0.89054 0.000 0.992 0.008 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0188 0.78705 0.996 0.000 0.004 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.3219 0.64549 0.000 0.164 0.000 0.836
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.2530 0.64152 0.000 0.100 0.004 0.896
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.2704 0.81997 0.000 0.876 0.124 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0779 0.89177 0.000 0.980 0.004 0.016
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.1389 0.87640 0.000 0.952 0.048 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.1389 0.63180 0.000 0.048 0.000 0.952
#> A541B123-A51C-4EF0-839E-8A9513311C98 3 0.7172 0.38833 0.376 0.140 0.484 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0188 0.89119 0.000 0.996 0.004 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.4679 0.30159 0.648 0.000 0.352 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.1792 0.63584 0.000 0.068 0.000 0.932
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0817 0.89016 0.000 0.976 0.000 0.024
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.3942 0.59908 0.000 0.236 0.000 0.764
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.4998 -0.10627 0.512 0.000 0.488 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.3266 0.64419 0.000 0.168 0.000 0.832
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.2281 0.84456 0.000 0.904 0.096 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.4605 0.45002 0.664 0.000 0.336 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.1004 0.89016 0.000 0.972 0.004 0.024
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.3266 0.69950 0.832 0.000 0.168 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.2345 0.84144 0.000 0.900 0.100 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.4163 0.65593 0.792 0.020 0.188 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.4252 0.57713 0.000 0.252 0.004 0.744
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.1211 0.88196 0.000 0.960 0.040 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.3219 0.64549 0.000 0.164 0.000 0.836
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.7084 0.27542 0.164 0.552 0.284 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.4967 0.05672 0.548 0.000 0.452 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.2345 0.84144 0.000 0.900 0.100 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.3356 0.76654 0.000 0.824 0.176 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.5163 0.09043 0.000 0.480 0.004 0.516
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.1004 0.89016 0.000 0.972 0.004 0.024
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.1004 0.89022 0.000 0.972 0.004 0.024
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0336 0.89054 0.000 0.992 0.008 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.1211 0.87969 0.000 0.960 0.040 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.1004 0.89016 0.000 0.972 0.004 0.024
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.1004 0.89016 0.000 0.972 0.004 0.024
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.5168 0.03956 0.000 0.492 0.004 0.504
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.1004 0.89016 0.000 0.972 0.004 0.024
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0336 0.89054 0.000 0.992 0.008 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0592 0.88927 0.000 0.984 0.016 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.1004 0.89016 0.000 0.972 0.004 0.024
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.2521 0.84499 0.000 0.912 0.024 0.064
#> A280A4AF-0687-40CA-8804-C6173B33E732 3 0.5000 0.13480 0.496 0.000 0.504 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.7433 0.30285 0.000 0.288 0.208 0.504
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.78843 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 4 0.4992 0.51329 0.000 0.000 0.476 0.524
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0376 0.89113 0.000 0.992 0.004 0.004
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.3219 0.64549 0.000 0.164 0.000 0.836
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.7629 0.19851 0.000 0.328 0.220 0.452
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0895 0.89115 0.000 0.976 0.004 0.020
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 4 0.4992 0.51329 0.000 0.000 0.476 0.524
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0566 0.9507 0.000 0.984 0.000 0.012 0.004
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.4397 0.3008 0.432 0.004 0.000 0.000 0.564
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0771 0.9519 0.000 0.976 0.000 0.004 0.020
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0771 0.9519 0.000 0.976 0.000 0.004 0.020
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.3519 0.8743 0.000 0.008 0.216 0.776 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0671 0.9528 0.000 0.980 0.000 0.004 0.016
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 5 0.5236 0.5514 0.164 0.152 0.000 0.000 0.684
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.6371 0.4450 0.268 0.000 0.000 0.216 0.516
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9528 0.000 0.000 1.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0510 0.9525 0.000 0.984 0.000 0.000 0.016
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.4452 -0.1441 0.500 0.004 0.000 0.000 0.496
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.1116 0.6682 0.004 0.004 0.000 0.028 0.964
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.3969 0.5199 0.304 0.004 0.000 0.000 0.692
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.1270 0.9342 0.000 0.948 0.000 0.000 0.052
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.3461 0.8674 0.000 0.000 0.224 0.772 0.004
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0955 0.9425 0.000 0.968 0.000 0.028 0.004
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.3141 0.8073 0.000 0.832 0.000 0.152 0.016
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.8952 1.000 0.000 0.000 0.000 0.000
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#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0865 0.9508 0.000 0.972 0.000 0.004 0.024
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0510 0.9525 0.000 0.984 0.000 0.000 0.016
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0404 0.9532 0.000 0.988 0.000 0.000 0.012
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0324 0.9532 0.000 0.992 0.000 0.004 0.004
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0451 0.9538 0.000 0.988 0.000 0.004 0.008
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.3582 0.6588 0.000 0.224 0.000 0.768 0.008
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0451 0.9521 0.000 0.988 0.000 0.008 0.004
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0290 0.9538 0.000 0.992 0.000 0.000 0.008
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0510 0.9526 0.000 0.984 0.000 0.000 0.016
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0162 0.9540 0.000 0.996 0.000 0.004 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.1310 0.9419 0.000 0.956 0.020 0.000 0.024
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.2592 0.6681 0.052 0.000 0.000 0.056 0.892
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.1331 0.6700 0.000 0.008 0.000 0.952 0.040
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.8952 1.000 0.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9528 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0290 0.9538 0.000 0.992 0.000 0.000 0.008
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.3519 0.8743 0.000 0.008 0.216 0.776 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.5475 0.0894 0.000 0.088 0.000 0.604 0.308
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0566 0.9537 0.000 0.984 0.000 0.004 0.012
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9528 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 6 0.2219 0.8455 0.136 0.000 0.000 0.000 0.000 0.864
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.2511 0.9021 0.000 0.880 0.000 0.000 0.064 0.056
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.2448 0.9034 0.000 0.884 0.000 0.000 0.064 0.052
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0260 0.9561 0.000 0.000 0.000 0.992 0.000 0.008
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.2318 0.9059 0.000 0.892 0.000 0.000 0.064 0.044
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.1552 0.8766 0.036 0.004 0.000 0.000 0.020 0.940
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.2423 0.8622 0.048 0.004 0.004 0.000 0.896 0.048
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0937 0.9885 0.000 0.000 0.960 0.040 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.1564 0.9194 0.000 0.936 0.000 0.000 0.024 0.040
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 6 0.3546 0.7773 0.196 0.000 0.016 0.000 0.012 0.776
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 6 0.3659 0.7596 0.012 0.000 0.028 0.000 0.180 0.780
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 6 0.1461 0.8791 0.044 0.000 0.000 0.000 0.016 0.940
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.1867 0.9125 0.000 0.916 0.000 0.000 0.020 0.064
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.1152 0.9320 0.000 0.000 0.000 0.952 0.044 0.004
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0508 0.9213 0.000 0.984 0.000 0.000 0.012 0.004
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.5025 0.7247 0.000 0.704 0.004 0.180 0.060 0.052
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0291 0.9314 0.992 0.000 0.004 0.000 0.000 0.004
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.2579 0.9011 0.000 0.876 0.004 0.000 0.032 0.088
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 6 0.1501 0.8767 0.076 0.000 0.000 0.000 0.000 0.924
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.1572 0.9196 0.000 0.936 0.000 0.000 0.028 0.036
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0937 0.9885 0.000 0.000 0.960 0.040 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0405 0.9307 0.988 0.000 0.004 0.000 0.000 0.008
#> B7A23896-4182-48D3-A1D9-92C781BF283F 6 0.1957 0.8652 0.112 0.000 0.000 0.000 0.000 0.888
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.1549 0.9207 0.000 0.000 0.000 0.936 0.044 0.020
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0146 0.9316 0.996 0.000 0.000 0.000 0.000 0.004
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0622 0.9501 0.000 0.000 0.000 0.980 0.012 0.008
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.2006 0.8181 0.000 0.000 0.000 0.104 0.892 0.004
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0146 0.9315 0.996 0.000 0.004 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 6 0.1116 0.8336 0.000 0.008 0.004 0.000 0.028 0.960
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0363 0.9299 0.988 0.000 0.000 0.000 0.000 0.012
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0146 0.9315 0.996 0.000 0.004 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.1116 0.9350 0.000 0.004 0.000 0.960 0.028 0.008
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 6 0.1531 0.8572 0.004 0.000 0.000 0.000 0.068 0.928
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0260 0.9561 0.000 0.000 0.000 0.992 0.000 0.008
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 4 0.3515 0.5097 0.000 0.000 0.324 0.676 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.5603 -0.0514 0.000 0.448 0.000 0.064 0.456 0.032
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.3150 0.8098 0.000 0.088 0.000 0.060 0.844 0.008
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.1970 0.8736 0.028 0.000 0.000 0.000 0.912 0.060
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 6 0.0993 0.8665 0.012 0.000 0.000 0.000 0.024 0.964
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.5239 0.5636 0.000 0.004 0.240 0.656 0.060 0.040
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.3265 0.8027 0.000 0.068 0.000 0.088 0.836 0.008
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.2888 0.8952 0.000 0.860 0.004 0.000 0.068 0.068
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9315 1.000 0.000 0.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0405 0.9307 0.988 0.000 0.004 0.000 0.000 0.008
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 6 0.1194 0.8304 0.000 0.008 0.004 0.000 0.032 0.956
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0622 0.9501 0.000 0.000 0.000 0.980 0.012 0.008
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.0622 0.9519 0.000 0.000 0.000 0.980 0.012 0.008
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.3327 0.8885 0.000 0.848 0.004 0.024 0.064 0.060
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 6 0.2257 0.8333 0.008 0.000 0.000 0.000 0.116 0.876
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 6 0.4023 0.6884 0.264 0.000 0.028 0.000 0.004 0.704
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.2848 0.7815 0.000 0.000 0.000 0.816 0.176 0.008
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0405 0.9227 0.000 0.988 0.000 0.000 0.004 0.008
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.2888 0.8952 0.000 0.860 0.004 0.000 0.068 0.068
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.3362 0.8772 0.000 0.824 0.004 0.000 0.076 0.096
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.2828 0.8970 0.000 0.864 0.004 0.000 0.072 0.060
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.3089 0.8881 0.000 0.844 0.004 0.000 0.060 0.092
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0865 0.9850 0.000 0.000 0.964 0.036 0.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.2839 0.8255 0.860 0.000 0.004 0.000 0.092 0.044
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.1867 0.8754 0.020 0.000 0.000 0.000 0.916 0.064
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.0865 0.9399 0.000 0.000 0.000 0.964 0.036 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0405 0.9307 0.988 0.000 0.004 0.000 0.000 0.008
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.2030 0.9124 0.000 0.908 0.000 0.000 0.064 0.028
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.1116 0.9201 0.960 0.000 0.028 0.000 0.008 0.004
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.2333 0.8858 0.000 0.004 0.000 0.896 0.060 0.040
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0291 0.9314 0.992 0.000 0.004 0.000 0.000 0.004
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.2772 0.8966 0.000 0.864 0.004 0.000 0.040 0.092
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0972 0.9159 0.000 0.964 0.000 0.000 0.028 0.008
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.1738 0.8961 0.928 0.000 0.004 0.000 0.016 0.052
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.5420 0.4483 0.000 0.564 0.000 0.344 0.056 0.036
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0405 0.9295 0.988 0.000 0.008 0.000 0.000 0.004
#> 27875588-7C41-49BB-A4C0-A66D72A12499 5 0.4934 0.6466 0.004 0.000 0.212 0.000 0.660 0.124
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0291 0.9238 0.000 0.992 0.000 0.000 0.004 0.004
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.2448 0.9034 0.000 0.884 0.000 0.000 0.064 0.052
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0865 0.9850 0.000 0.000 0.964 0.036 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.1802 0.8759 0.012 0.000 0.000 0.000 0.916 0.072
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.1720 0.9197 0.000 0.928 0.000 0.000 0.032 0.040
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.2088 0.9092 0.000 0.904 0.000 0.000 0.028 0.068
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.4500 0.3647 0.000 0.572 0.000 0.000 0.036 0.392
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.2773 0.8979 0.000 0.868 0.004 0.000 0.064 0.064
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.2053 0.8626 0.004 0.000 0.000 0.000 0.888 0.108
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.1909 0.8762 0.004 0.024 0.000 0.000 0.920 0.052
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.2790 0.8623 0.000 0.844 0.000 0.000 0.024 0.132
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.3647 0.4032 0.640 0.000 0.000 0.000 0.000 0.360
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 6 0.1296 0.8292 0.000 0.012 0.004 0.000 0.032 0.952
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0146 0.9314 0.996 0.000 0.000 0.000 0.000 0.004
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 6 0.1910 0.8672 0.108 0.000 0.000 0.000 0.000 0.892
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.3230 0.8502 0.000 0.032 0.004 0.856 0.064 0.044
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.1003 0.9244 0.000 0.964 0.000 0.000 0.020 0.016
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.1168 0.9223 0.000 0.956 0.000 0.000 0.016 0.028
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.3314 0.8794 0.000 0.828 0.004 0.000 0.076 0.092
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.2448 0.9034 0.000 0.884 0.000 0.000 0.064 0.052
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.6802 0.3911 0.000 0.508 0.300 0.032 0.072 0.088
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0405 0.9307 0.988 0.000 0.004 0.000 0.000 0.008
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 5 0.5008 0.4143 0.344 0.000 0.028 0.000 0.592 0.036
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.0865 0.9850 0.000 0.000 0.964 0.036 0.000 0.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0291 0.9314 0.992 0.000 0.004 0.000 0.000 0.004
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.9315 1.000 0.000 0.000 0.000 0.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.4928 0.4602 0.628 0.000 0.028 0.000 0.040 0.304
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.1418 0.9206 0.000 0.944 0.000 0.000 0.024 0.032
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0937 0.9885 0.000 0.000 0.960 0.040 0.000 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0937 0.9885 0.000 0.000 0.960 0.040 0.000 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.3874 0.4050 0.636 0.000 0.000 0.000 0.008 0.356
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 6 0.2159 0.8779 0.072 0.000 0.012 0.000 0.012 0.904
#> ED604501-C110-4693-820B-DE9FB648FEAA 6 0.2425 0.8683 0.100 0.000 0.012 0.000 0.008 0.880
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#> D902E43A-F384-432A-B690-D20BFCC78443 5 0.2362 0.7965 0.000 0.136 0.000 0.000 0.860 0.004
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.3395 0.8687 0.000 0.816 0.004 0.000 0.056 0.124
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0937 0.9885 0.000 0.000 0.960 0.040 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 6 0.3592 0.5751 0.344 0.000 0.000 0.000 0.000 0.656
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.1700 0.8738 0.004 0.000 0.000 0.000 0.916 0.080
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.2443 0.8610 0.004 0.000 0.020 0.000 0.880 0.096
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.2830 0.8964 0.000 0.864 0.004 0.000 0.064 0.068
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 6 0.1745 0.8797 0.056 0.000 0.000 0.000 0.020 0.924
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9315 1.000 0.000 0.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.1398 0.9211 0.000 0.000 0.000 0.940 0.052 0.008
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 6 0.3048 0.8529 0.116 0.000 0.028 0.000 0.012 0.844
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.0260 0.9561 0.000 0.000 0.000 0.992 0.000 0.008
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.1710 0.9096 0.936 0.000 0.028 0.000 0.020 0.016
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 5 0.2389 0.7894 0.000 0.000 0.000 0.128 0.864 0.008
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.2213 0.8298 0.004 0.100 0.000 0.000 0.888 0.008
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.3050 0.6866 0.000 0.764 0.000 0.000 0.236 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.1116 0.9201 0.960 0.000 0.028 0.000 0.008 0.004
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.1720 0.9182 0.000 0.928 0.000 0.000 0.032 0.040
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.1218 0.9185 0.956 0.000 0.028 0.000 0.012 0.004
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.2128 0.8979 0.000 0.004 0.000 0.908 0.056 0.032
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0405 0.9307 0.988 0.000 0.004 0.000 0.000 0.008
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.1714 0.8682 0.000 0.908 0.000 0.000 0.092 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0405 0.9307 0.988 0.000 0.004 0.000 0.000 0.008
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0291 0.9314 0.992 0.000 0.004 0.000 0.000 0.004
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.2653 0.9005 0.000 0.876 0.004 0.000 0.064 0.056
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.1926 0.8762 0.000 0.020 0.000 0.000 0.912 0.068
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0405 0.9307 0.988 0.000 0.004 0.000 0.000 0.008
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.1934 0.8688 0.040 0.000 0.000 0.000 0.916 0.044
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.1003 0.9217 0.964 0.000 0.028 0.000 0.004 0.004
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.1845 0.9140 0.000 0.920 0.000 0.000 0.052 0.028
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0458 0.9487 0.000 0.016 0.000 0.984 0.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.4538 0.3838 0.008 0.000 0.028 0.000 0.600 0.364
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0937 0.9885 0.000 0.000 0.960 0.040 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.2630 0.8999 0.000 0.872 0.004 0.000 0.032 0.092
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0937 0.9885 0.000 0.000 0.960 0.040 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 6 0.1856 0.8730 0.032 0.000 0.000 0.000 0.048 0.920
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0692 0.9296 0.976 0.000 0.020 0.000 0.000 0.004
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0405 0.9227 0.000 0.988 0.000 0.000 0.004 0.008
#> 15FB165D-6751-4894-A904-C77EA723CFCB 6 0.1957 0.8652 0.112 0.000 0.000 0.000 0.000 0.888
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.1950 0.9114 0.000 0.912 0.000 0.000 0.024 0.064
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0937 0.9885 0.000 0.000 0.960 0.040 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 6 0.5379 0.6436 0.244 0.000 0.032 0.000 0.092 0.632
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0363 0.9517 0.000 0.012 0.000 0.988 0.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0405 0.9307 0.988 0.000 0.004 0.000 0.000 0.008
#> C543A527-3E25-4389-9722-E9325C733243 2 0.3204 0.8830 0.000 0.836 0.004 0.000 0.068 0.092
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0000 0.9581 0.000 0.000 0.000 1.000 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 6 0.1602 0.8530 0.020 0.016 0.004 0.000 0.016 0.944
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 6 0.3683 0.7684 0.016 0.000 0.028 0.000 0.172 0.784
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.1926 0.9118 0.000 0.912 0.000 0.000 0.020 0.068
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.1765 0.8714 0.000 0.904 0.000 0.000 0.096 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.1332 0.9276 0.000 0.028 0.000 0.952 0.012 0.008
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0405 0.9307 0.988 0.000 0.004 0.000 0.000 0.008
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0291 0.9314 0.992 0.000 0.004 0.000 0.000 0.004
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0146 0.9314 0.996 0.000 0.000 0.000 0.000 0.004
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0405 0.9307 0.988 0.000 0.004 0.000 0.000 0.008
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0405 0.9307 0.988 0.000 0.004 0.000 0.000 0.008
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.2685 0.8990 0.000 0.868 0.000 0.000 0.072 0.060
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.1720 0.9182 0.000 0.928 0.000 0.000 0.032 0.040
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.1334 0.9209 0.000 0.948 0.000 0.000 0.020 0.032
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.2119 0.9122 0.000 0.904 0.000 0.000 0.060 0.036
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.2706 0.8818 0.000 0.036 0.004 0.888 0.044 0.028
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0405 0.9250 0.000 0.988 0.000 0.000 0.008 0.004
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.1492 0.9204 0.000 0.940 0.000 0.000 0.024 0.036
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0146 0.9248 0.000 0.996 0.000 0.000 0.004 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.2765 0.8992 0.000 0.872 0.008 0.000 0.064 0.056
#> A280A4AF-0687-40CA-8804-C6173B33E732 6 0.4304 0.5099 0.008 0.000 0.020 0.000 0.336 0.636
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.2915 0.7706 0.000 0.000 0.000 0.808 0.184 0.008
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9315 1.000 0.000 0.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0937 0.9885 0.000 0.000 0.960 0.040 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0260 0.9250 0.000 0.992 0.000 0.000 0.008 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0260 0.9561 0.000 0.000 0.000 0.992 0.000 0.008
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.2942 0.8207 0.000 0.068 0.000 0.064 0.860 0.008
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1434 0.9204 0.000 0.940 0.000 0.000 0.048 0.012
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0937 0.9885 0.000 0.000 0.960 0.040 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17630 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 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 0.984 0.994 0.4903 0.509 0.509
#> 3 3 0.994 0.953 0.982 0.3452 0.795 0.611
#> 4 4 0.983 0.955 0.978 0.1059 0.904 0.728
#> 5 5 0.922 0.928 0.959 0.0652 0.932 0.759
#> 6 6 0.913 0.825 0.927 0.0428 0.949 0.778
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 3 4 5
There is also optional best \(k\) = 2 3 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9970 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9892 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9970 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9970 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.9970 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9970 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.9892 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9892 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.9970 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9970 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9892 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9892 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9892 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 1 0.6623 0.7905 0.828 0.172
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.9970 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9970 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.9970 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9892 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0672 0.9891 0.008 0.992
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9892 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9970 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.9970 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9892 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9892 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.9970 0.000 1.000
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#> B11FF528-846E-4E40-9E32-E5820ECB5504 2 0.0000 0.9970 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.9892 1.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 2 0.0000 0.9970 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.0000 0.9970 0.000 1.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0000 0.9970 0.000 1.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0000 0.9970 0.000 1.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9892 1.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.0000 0.9970 0.000 1.000
#> D902E43A-F384-432A-B690-D20BFCC78443 1 0.1414 0.9703 0.980 0.020
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0000 0.9970 0.000 1.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.9970 0.000 1.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 1 0.6623 0.7910 0.828 0.172
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.0000 0.9970 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9892 1.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.9892 1.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9892 1.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0000 0.9970 0.000 1.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.9892 1.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9892 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.0000 0.9970 0.000 1.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9892 1.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.9970 0.000 1.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9892 1.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.9970 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.9686 0.3537 0.604 0.396
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.9892 1.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 1 0.0000 0.9892 1.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9892 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9970 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9892 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.9970 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.9970 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9892 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 1 0.0000 0.9892 1.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9892 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9970 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9892 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.9970 0.000 1.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.9970 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.9892 1.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9970 0.000 1.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9892 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9892 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.9970 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9892 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.9970 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.9970 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9892 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.9970 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.9970 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9970 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.9970 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9892 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9892 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9970 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9892 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0376 0.9930 0.004 0.996
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.9970 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9892 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.9970 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9892 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9970 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.9970 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.0000 0.9892 1.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9892 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.1843 0.9685 0.028 0.972
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.0000 0.9892 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.9970 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9892 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9892 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9892 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9970 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9892 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9892 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9970 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9970 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9970 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9970 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.9970 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.9970 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9970 0.000 1.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9970 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9970 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9970 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.9970 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9892 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.9970 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9892 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.9970 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9970 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.9970 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.9970 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9970 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.9970 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9621 0.000 1.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9884 1.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9621 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9621 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 3 0.0000 0.9862 0.000 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9621 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.9884 1.000 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9884 1.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9862 0.000 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9621 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9884 1.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9884 1.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9884 1.000 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9621 0.000 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.0000 0.9862 0.000 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9621 0.000 1.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 3 0.0000 0.9862 0.000 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9884 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9621 0.000 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9884 1.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9621 0.000 1.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9862 0.000 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9884 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9884 1.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0000 0.9862 0.000 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9621 0.000 1.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.9862 0.000 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9884 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 3 0.0000 0.9862 0.000 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 3 0.0000 0.9862 0.000 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9884 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 1 0.0000 0.9884 1.000 0.000 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9884 1.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.0000 0.9862 0.000 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9884 1.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 3 0.0237 0.9825 0.000 0.004 0.996
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9621 0.000 1.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.9884 1.000 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9621 0.000 1.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 3 0.0000 0.9862 0.000 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9862 0.000 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 3 0.0000 0.9862 0.000 0.000 1.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0237 0.9588 0.000 0.996 0.004
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9884 1.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.9884 1.000 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.0000 0.9862 0.000 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.5835 0.4954 0.000 0.660 0.340
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 3 0.0000 0.9862 0.000 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9884 1.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9884 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.0000 0.9884 1.000 0.000 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 3 0.0000 0.9862 0.000 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 3 0.0000 0.9862 0.000 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 3 0.0000 0.9862 0.000 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.0000 0.9862 0.000 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9621 0.000 1.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 3 0.0000 0.9862 0.000 0.000 1.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 3 0.0000 0.9862 0.000 0.000 1.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9884 1.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9884 1.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 3 0.0000 0.9862 0.000 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 3 0.0000 0.9862 0.000 0.000 1.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9621 0.000 1.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 3 0.0237 0.9825 0.000 0.004 0.996
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.5216 0.6566 0.000 0.740 0.260
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.6045 0.4143 0.000 0.620 0.380
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 3 0.0000 0.9862 0.000 0.000 1.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.9621 0.000 1.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.9862 0.000 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9884 1.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.9884 1.000 0.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 3 0.0000 0.9862 0.000 0.000 1.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9884 1.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9621 0.000 1.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9884 1.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 3 0.0000 0.9862 0.000 0.000 1.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9884 1.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.9621 0.000 1.000 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.9621 0.000 1.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.9884 1.000 0.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 3 0.0000 0.9862 0.000 0.000 1.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.9884 1.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.3192 0.8627 0.888 0.000 0.112
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.9621 0.000 1.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 3 0.5560 0.5535 0.000 0.300 0.700
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.9621 0.000 1.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.9862 0.000 0.000 1.000
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#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9884 1.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 3 0.0000 0.9862 0.000 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9862 0.000 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9621 0.000 1.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9862 0.000 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9884 1.000 0.000 0.000
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#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9884 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.3412 0.8413 0.000 0.876 0.124
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9621 0.000 1.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9621 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9621 0.000 1.000 0.000
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#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9621 0.000 1.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9621 0.000 1.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9621 0.000 1.000 0.000
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#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.1643 0.9424 0.000 0.044 0.956
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9884 1.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 3 0.0000 0.9862 0.000 0.000 1.000
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#> 293E6D35-8392-4C44-BC18-F917989516B0 3 0.0000 0.9862 0.000 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.5016 0.6842 0.000 0.760 0.240
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#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9862 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.978 0.000 1.000 0.000 0.000
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#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.0000 0.962 0.000 0.000 0.000 1.000
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#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0707 0.977 0.980 0.000 0.000 0.020
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0707 0.976 0.000 0.000 0.020 0.980
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.4103 0.651 0.000 0.256 0.744 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0707 0.976 0.000 0.000 0.020 0.980
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0707 0.976 0.000 0.000 0.020 0.980
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.966 0.000 0.000 1.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.966 0.000 0.000 1.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.2647 0.856 0.000 0.880 0.000 0.120
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.966 0.000 0.000 1.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0707 0.976 0.000 0.000 0.020 0.980
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0707 0.976 0.000 0.000 0.020 0.980
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.4776 0.389 0.624 0.376 0.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0469 0.971 0.000 0.000 0.012 0.988
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0469 0.968 0.000 0.988 0.012 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.3837 0.711 0.000 0.776 0.224 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0707 0.976 0.000 0.000 0.020 0.980
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.966 0.000 0.000 1.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.0000 0.962 0.000 0.000 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.989 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.966 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0707 0.976 0.000 0.000 0.020 0.980
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.0000 0.962 0.000 0.000 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.966 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.1671 0.9184 0.924 0.000 0.000 0.000 0.076
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0162 0.9653 0.000 0.996 0.000 0.000 0.004
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0162 0.9653 0.000 0.996 0.000 0.000 0.004
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.1908 0.9069 0.908 0.000 0.000 0.000 0.092
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.2377 0.9094 0.128 0.000 0.000 0.000 0.872
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9703 0.000 0.000 1.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0290 0.9639 0.000 0.992 0.000 0.000 0.008
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0162 0.9597 0.996 0.000 0.000 0.000 0.004
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0510 0.9567 0.984 0.000 0.000 0.000 0.016
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.2179 0.8905 0.888 0.000 0.000 0.000 0.112
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.1197 0.9402 0.000 0.952 0.000 0.000 0.048
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.1608 0.8973 0.000 0.000 0.072 0.928 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.1197 0.9402 0.000 0.952 0.000 0.000 0.048
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.2127 0.8940 0.892 0.000 0.000 0.000 0.108
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0290 0.9639 0.000 0.992 0.000 0.000 0.008
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9703 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0794 0.9483 0.972 0.000 0.000 0.000 0.028
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0404 0.9596 0.000 0.000 0.988 0.012 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.2230 0.8162 0.000 0.000 0.000 0.116 0.884
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.3527 0.8023 0.056 0.000 0.828 0.000 0.116
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.2127 0.8957 0.892 0.000 0.000 0.000 0.108
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9703 0.000 0.000 1.000 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.4669 0.3837 0.000 0.012 0.008 0.628 0.352
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.2773 0.8137 0.000 0.020 0.000 0.112 0.868
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.2230 0.9119 0.116 0.000 0.000 0.000 0.884
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.2127 0.8940 0.892 0.000 0.000 0.000 0.108
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.2732 0.7904 0.000 0.000 0.840 0.160 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.3636 0.6231 0.000 0.000 0.000 0.272 0.728
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 3 0.2825 0.8268 0.000 0.000 0.860 0.124 0.016
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.2230 0.8867 0.884 0.000 0.000 0.000 0.116
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.0798 0.9527 0.000 0.000 0.016 0.976 0.008
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0609 0.9525 0.980 0.000 0.000 0.000 0.020
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 3 0.0290 0.9643 0.000 0.000 0.992 0.000 0.008
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.5836 0.6092 0.000 0.664 0.032 0.200 0.104
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.4618 0.4349 0.000 0.344 0.004 0.636 0.016
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.1197 0.9402 0.000 0.952 0.000 0.000 0.048
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.9703 0.000 0.000 1.000 0.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0162 0.9594 0.996 0.000 0.000 0.000 0.004
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.2230 0.9119 0.116 0.000 0.000 0.000 0.884
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0404 0.9565 0.988 0.000 0.000 0.000 0.012
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.2127 0.8542 0.000 0.000 0.108 0.892 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.1197 0.9402 0.000 0.952 0.000 0.000 0.048
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0162 0.9594 0.996 0.000 0.000 0.000 0.004
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.4088 0.4144 0.000 0.000 0.368 0.632 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.1792 0.8956 0.000 0.000 0.916 0.000 0.084
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 3 0.3480 0.6621 0.000 0.248 0.752 0.000 0.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.9703 0.000 0.000 1.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.2230 0.9119 0.116 0.000 0.000 0.000 0.884
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0290 0.9639 0.000 0.992 0.000 0.000 0.008
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.1197 0.9402 0.000 0.952 0.000 0.000 0.048
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 1 0.6030 0.0949 0.464 0.420 0.000 0.000 0.116
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.0000 0.9703 0.000 0.000 1.000 0.000 0.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.2074 0.9064 0.104 0.000 0.000 0.000 0.896
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.2338 0.9106 0.112 0.004 0.000 0.000 0.884
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.2286 0.8869 0.004 0.888 0.000 0.000 0.108
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0162 0.9597 0.996 0.000 0.000 0.000 0.004
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 3 0.4172 0.7302 0.108 0.000 0.784 0.000 0.108
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0880 0.9462 0.968 0.000 0.000 0.000 0.032
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#> D902E43A-F384-432A-B690-D20BFCC78443 5 0.2280 0.8119 0.000 0.120 0.000 0.000 0.880
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.2179 0.8866 0.000 0.888 0.000 0.000 0.112
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.9703 0.000 0.000 1.000 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0162 0.9597 0.996 0.000 0.000 0.000 0.004
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.2230 0.9119 0.116 0.000 0.000 0.000 0.884
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.3661 0.7721 0.276 0.000 0.000 0.000 0.724
#> 37586AAC-159B-41F9-9078-C2F7888753AC 4 0.2082 0.9096 0.000 0.024 0.032 0.928 0.016
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.2179 0.8905 0.888 0.000 0.000 0.000 0.112
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0404 0.9565 0.988 0.000 0.000 0.000 0.012
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 5 0.2930 0.7735 0.004 0.000 0.000 0.164 0.832
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.2411 0.9089 0.108 0.008 0.000 0.000 0.884
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.2732 0.8112 0.000 0.840 0.000 0.000 0.160
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0404 0.9565 0.988 0.000 0.000 0.000 0.012
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0290 0.9639 0.000 0.992 0.000 0.000 0.008
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0404 0.9565 0.988 0.000 0.000 0.000 0.012
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0000 0.9703 0.000 0.000 1.000 0.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0404 0.9599 0.000 0.988 0.000 0.000 0.012
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.3774 0.5933 0.000 0.704 0.296 0.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.2377 0.9094 0.128 0.000 0.000 0.000 0.872
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.2230 0.9119 0.116 0.000 0.000 0.000 0.884
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.3242 0.7113 0.000 0.216 0.784 0.000 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.3586 0.5730 0.736 0.000 0.000 0.000 0.264
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9703 0.000 0.000 1.000 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.1197 0.9402 0.000 0.952 0.000 0.000 0.048
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9703 0.000 0.000 1.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.1544 0.9245 0.932 0.000 0.000 0.000 0.068
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0510 0.9554 0.000 0.984 0.000 0.016 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.1544 0.9245 0.932 0.000 0.000 0.000 0.068
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.1197 0.9402 0.000 0.952 0.000 0.000 0.048
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9703 0.000 0.000 1.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0162 0.9596 0.996 0.000 0.000 0.000 0.004
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.1197 0.9402 0.000 0.952 0.000 0.000 0.048
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.2179 0.8905 0.888 0.000 0.000 0.000 0.112
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0404 0.9565 0.988 0.000 0.000 0.000 0.012
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.1197 0.9402 0.000 0.952 0.000 0.000 0.048
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0404 0.9622 0.000 0.988 0.000 0.000 0.012
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0451 0.9624 0.000 0.988 0.004 0.000 0.008
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0290 0.9639 0.000 0.992 0.000 0.000 0.008
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0510 0.9601 0.000 0.984 0.000 0.000 0.016
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.3452 0.6803 0.000 0.756 0.244 0.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0162 0.9653 0.000 0.996 0.000 0.000 0.004
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0510 0.9601 0.000 0.984 0.000 0.000 0.016
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.9703 0.000 0.000 1.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0404 0.9565 0.988 0.000 0.000 0.000 0.012
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9703 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.9730 0.000 0.000 0.000 1.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.2727 0.8116 0.000 0.016 0.000 0.116 0.868
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9703 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0260 0.8834 0.000 0.992 0.000 0.000 0.000 0.008
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.3727 0.2675 0.612 0.000 0.000 0.000 0.000 0.388
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.1863 0.8117 0.000 0.896 0.000 0.000 0.000 0.104
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.8851 0.000 1.000 0.000 0.000 0.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0146 0.9591 0.000 0.000 0.000 0.996 0.000 0.004
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.8851 0.000 1.000 0.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.3756 0.3590 0.400 0.000 0.000 0.000 0.000 0.600
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.0508 0.8871 0.012 0.000 0.000 0.000 0.984 0.004
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9589 0.000 0.000 1.000 0.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.3854 0.2755 0.000 0.536 0.000 0.000 0.000 0.464
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0146 0.9553 0.996 0.000 0.000 0.000 0.000 0.004
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0260 0.9535 0.992 0.000 0.000 0.000 0.008 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 6 0.3198 0.5268 0.260 0.000 0.000 0.000 0.000 0.740
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 6 0.3265 0.4754 0.000 0.248 0.000 0.000 0.004 0.748
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.0632 0.9383 0.000 0.000 0.024 0.976 0.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0508 0.8807 0.000 0.984 0.000 0.000 0.004 0.012
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0260 0.9547 0.992 0.000 0.000 0.000 0.000 0.008
#> 022275BA-F672-49C5-887B-CCF24A20848F 6 0.3244 0.4528 0.000 0.268 0.000 0.000 0.000 0.732
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 6 0.3864 0.1630 0.480 0.000 0.000 0.000 0.000 0.520
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.3727 0.4371 0.000 0.612 0.000 0.000 0.000 0.388
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9589 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0260 0.9547 0.992 0.000 0.000 0.000 0.000 0.008
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0363 0.9525 0.988 0.000 0.000 0.000 0.000 0.012
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.8851 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.2048 0.8230 0.000 0.000 0.880 0.120 0.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0260 0.9547 0.992 0.000 0.000 0.000 0.000 0.008
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0146 0.9591 0.000 0.000 0.000 0.996 0.000 0.004
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.0291 0.8880 0.000 0.000 0.000 0.004 0.992 0.004
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9553 1.000 0.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 6 0.0777 0.6017 0.004 0.000 0.024 0.000 0.000 0.972
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0260 0.9547 0.992 0.000 0.000 0.000 0.000 0.008
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9553 1.000 0.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0146 0.9591 0.000 0.000 0.000 0.996 0.000 0.004
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.8851 0.000 1.000 0.000 0.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 6 0.3986 0.1994 0.464 0.000 0.000 0.000 0.004 0.532
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.8851 0.000 1.000 0.000 0.000 0.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0146 0.9591 0.000 0.000 0.000 0.996 0.000 0.004
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9589 0.000 0.000 1.000 0.000 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.4282 0.2222 0.000 0.000 0.020 0.560 0.420 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.0767 0.8815 0.000 0.012 0.000 0.004 0.976 0.008
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.0146 0.8908 0.004 0.000 0.000 0.000 0.996 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 6 0.3864 0.1630 0.480 0.000 0.000 0.000 0.000 0.520
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.1007 0.9134 0.000 0.000 0.956 0.044 0.000 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.1753 0.8172 0.000 0.000 0.000 0.084 0.912 0.004
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 6 0.5739 0.0325 0.000 0.008 0.392 0.132 0.000 0.468
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0260 0.9547 0.992 0.000 0.000 0.000 0.000 0.008
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0260 0.9547 0.992 0.000 0.000 0.000 0.000 0.008
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 6 0.0458 0.6083 0.016 0.000 0.000 0.000 0.000 0.984
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0146 0.9591 0.000 0.000 0.000 0.996 0.000 0.004
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0260 0.8834 0.000 0.992 0.000 0.000 0.000 0.008
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.0363 0.9538 0.000 0.000 0.000 0.988 0.000 0.012
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.3982 0.2556 0.000 0.004 0.000 0.536 0.000 0.460
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0260 0.9547 0.992 0.000 0.000 0.000 0.000 0.008
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0146 0.9546 0.996 0.000 0.000 0.000 0.000 0.004
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.0363 0.9538 0.000 0.000 0.000 0.988 0.000 0.012
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0363 0.8819 0.000 0.988 0.000 0.000 0.000 0.012
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#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0260 0.9547 0.992 0.000 0.000 0.000 0.000 0.008
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.8851 0.000 1.000 0.000 0.000 0.000 0.000
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#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.4066 0.5575 0.000 0.692 0.272 0.000 0.000 0.036
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.0405 0.8864 0.008 0.000 0.000 0.000 0.988 0.004
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.8851 0.000 1.000 0.000 0.000 0.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0260 0.9547 0.992 0.000 0.000 0.000 0.000 0.008
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.0146 0.8908 0.004 0.000 0.000 0.000 0.996 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9553 1.000 0.000 0.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.3221 0.5875 0.000 0.736 0.264 0.000 0.000 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0713 0.9358 0.972 0.000 0.000 0.000 0.028 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9589 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 6 0.3221 0.4588 0.000 0.264 0.000 0.000 0.000 0.736
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9589 0.000 0.000 1.000 0.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.3109 0.6783 0.772 0.000 0.000 0.000 0.004 0.224
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9553 1.000 0.000 0.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0508 0.8799 0.000 0.984 0.000 0.004 0.000 0.012
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.3126 0.6424 0.752 0.000 0.000 0.000 0.000 0.248
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 6 0.3198 0.4630 0.000 0.260 0.000 0.000 0.000 0.740
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9589 0.000 0.000 1.000 0.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9553 1.000 0.000 0.000 0.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0260 0.9547 0.992 0.000 0.000 0.000 0.000 0.008
#> C543A527-3E25-4389-9722-E9325C733243 6 0.3221 0.4588 0.000 0.264 0.000 0.000 0.000 0.736
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 6 0.1757 0.5945 0.076 0.008 0.000 0.000 0.000 0.916
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0260 0.9535 0.992 0.000 0.000 0.000 0.008 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 6 0.3314 0.4655 0.000 0.256 0.000 0.000 0.004 0.740
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.4534 0.1261 0.000 0.496 0.000 0.000 0.032 0.472
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0146 0.9591 0.000 0.000 0.000 0.996 0.000 0.004
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0260 0.9547 0.992 0.000 0.000 0.000 0.000 0.008
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0146 0.9553 0.996 0.000 0.000 0.000 0.000 0.004
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9553 1.000 0.000 0.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.8851 0.000 1.000 0.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0260 0.9547 0.992 0.000 0.000 0.000 0.000 0.008
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0146 0.9553 0.996 0.000 0.000 0.000 0.000 0.004
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.3961 0.3413 0.000 0.556 0.000 0.004 0.000 0.440
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.3717 0.4441 0.000 0.616 0.000 0.000 0.000 0.384
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.3860 0.2546 0.000 0.528 0.000 0.000 0.000 0.472
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0146 0.8841 0.000 0.996 0.000 0.000 0.004 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.3103 0.6673 0.000 0.784 0.208 0.000 0.000 0.008
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0000 0.9605 0.000 0.000 0.000 1.000 0.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.8851 0.000 1.000 0.000 0.000 0.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.2300 0.7751 0.000 0.856 0.000 0.000 0.000 0.144
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.3843 0.2972 0.000 0.548 0.000 0.000 0.000 0.452
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.8851 0.000 1.000 0.000 0.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.9589 0.000 0.000 1.000 0.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0260 0.9535 0.992 0.000 0.000 0.000 0.008 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.0363 0.9538 0.000 0.000 0.000 0.988 0.000 0.012
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9553 1.000 0.000 0.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9589 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.8851 0.000 1.000 0.000 0.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0146 0.9591 0.000 0.000 0.000 0.996 0.000 0.004
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.0405 0.8864 0.000 0.000 0.000 0.004 0.988 0.008
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.8851 0.000 1.000 0.000 0.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9589 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17630 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 0.976 0.990 0.4502 0.549 0.549
#> 3 3 0.849 0.917 0.959 0.4077 0.817 0.669
#> 4 4 0.887 0.900 0.952 0.1019 0.899 0.744
#> 5 5 0.856 0.875 0.934 0.0883 0.916 0.739
#> 6 6 0.754 0.719 0.857 0.0690 0.908 0.651
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9940 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9829 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9940 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9940 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.9940 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9940 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.9988 0.0546 0.480 0.520
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0376 0.9795 0.996 0.004
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.9940 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9940 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9829 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.8081 0.6642 0.248 0.752
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.3431 0.9205 0.936 0.064
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9940 0.000 1.000
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.9940 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9940 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.9940 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9829 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9940 0.000 1.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9829 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9940 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.9940 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9829 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9829 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.9940 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9940 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.9940 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9829 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.9940 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.0000 0.9940 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9829 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.0000 0.9940 0.000 1.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9829 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.9940 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9829 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.9940 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9940 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.3114 0.9360 0.056 0.944
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9940 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.9940 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.9940 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.9940 0.000 1.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0000 0.9940 0.000 1.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9829 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.7815 0.6999 0.768 0.232
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0000 0.9940 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.9940 0.000 1.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.9940 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9829 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9829 1.000 0.000
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#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.9940 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.9940 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.9940 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0000 0.9940 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9940 0.000 1.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.9940 0.000 1.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.9940 0.000 1.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9829 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9829 1.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.9940 0.000 1.000
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#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.9940 0.000 1.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.9940 0.000 1.000
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#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.0000 0.9940 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9829 1.000 0.000
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#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.9940 0.000 1.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9829 1.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9940 0.000 1.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9829 1.000 0.000
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#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9829 1.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.9940 0.000 1.000
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#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.9829 1.000 0.000
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#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 2 0.0000 0.9940 0.000 1.000
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 2 0.0000 0.9940 0.000 1.000
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 2 0.0000 0.9940 0.000 1.000
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.0000 0.9829 1.000 0.000
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 2 0.0000 0.9940 0.000 1.000
#> 7604968C-689A-458D-96BA-33B163B238F8 2 0.0000 0.9940 0.000 1.000
#> 2E040577-EA0C-4876-9F43-A180DA38F733 1 0.0000 0.9829 1.000 0.000
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#> 84778027-9C8E-4364-9069-70D8B86D6916 2 0.0000 0.9940 0.000 1.000
#> C635C019-A66D-42B7-911C-4D0742CAF95A 1 0.0672 0.9760 0.992 0.008
#> 1667B17C-C5E2-4E65-98FF-A6DDE44CC4B6 2 0.0000 0.9940 0.000 1.000
#> 1C62E679-3A4E-4D10-8BFB-5BFBF2A3B4B6 2 0.0000 0.9940 0.000 1.000
#> 39777F3A-0854-4C8E-9FF4-9A1369C4733D 2 0.0000 0.9940 0.000 1.000
#> AC25E68C-76EA-40E0-912F-29C632BC0996 1 0.0000 0.9829 1.000 0.000
#> 3DA19761-6FF3-4E8C-AA0F-C04CE2CE7037 2 0.0000 0.9940 0.000 1.000
#> 2E401C42-010F-4AFC-A362-B69426418626 1 0.0000 0.9829 1.000 0.000
#> 913D6292-6507-4F86-A120-137CEACE5C9F 2 0.0000 0.9940 0.000 1.000
#> F35F85A8-B3CD-4116-990F-94B2E432F902 2 0.0000 0.9940 0.000 1.000
#> EEE5E45B-D2E3-4CFA-AC5F-8AE1EC2CB61C 2 0.0000 0.9940 0.000 1.000
#> 7B6D13EE-FE13-4BA8-BA65-1A10307A7936 2 0.0000 0.9940 0.000 1.000
#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.0000 0.9940 0.000 1.000
#> A130FABA-F55F-412D-940E-7305057B4D1A 2 0.0000 0.9940 0.000 1.000
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 2 0.0000 0.9940 0.000 1.000
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 1 0.0000 0.9829 1.000 0.000
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 1 0.0000 0.9829 1.000 0.000
#> E3887082-4C43-426C-8580-ECAA4EFEC577 2 0.0000 0.9940 0.000 1.000
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 2 0.3274 0.9320 0.060 0.940
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 2 0.0000 0.9940 0.000 1.000
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 2 0.0000 0.9940 0.000 1.000
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 2 0.0000 0.9940 0.000 1.000
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 2 0.0000 0.9940 0.000 1.000
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.0000 0.9829 1.000 0.000
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 2 0.0000 0.9940 0.000 1.000
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0000 0.9829 1.000 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 2 0.0000 0.9940 0.000 1.000
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 2 0.0000 0.9940 0.000 1.000
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.0000 0.9829 1.000 0.000
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0000 0.9940 0.000 1.000
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 2 0.0000 0.9940 0.000 1.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 2 0.0000 0.9940 0.000 1.000
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.0000 0.9940 0.000 1.000
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.0000 0.9829 1.000 0.000
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.9829 1.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 2 0.0000 0.9940 0.000 1.000
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 1 0.0376 0.9795 0.996 0.004
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 2 0.0000 0.9940 0.000 1.000
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0000 0.9829 1.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.9829 1.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.9829 1.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0000 0.9940 0.000 1.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 2 0.0000 0.9940 0.000 1.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 2 0.0000 0.9940 0.000 1.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.9940 0.000 1.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 2 0.0000 0.9940 0.000 1.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 2 0.0000 0.9940 0.000 1.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.9829 1.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 2 0.0000 0.9940 0.000 1.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.9829 1.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.8661 0.6025 0.712 0.288
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.8909 0.5471 0.308 0.692
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.9829 1.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.9829 1.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 2 0.3584 0.9225 0.068 0.932
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.9829 1.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.9940 0.000 1.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0000 0.9940 0.000 1.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.0000 0.9829 1.000 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0000 0.9940 0.000 1.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.9829 1.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 2 0.0000 0.9940 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.9829 1.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.9940 0.000 1.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.9940 0.000 1.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 2 0.0000 0.9940 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.0000 0.9940 0.000 1.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.9940 0.000 1.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.0000 0.9940 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 2 0.0000 0.9940 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.0000 0.9940 0.000 1.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 2 0.0000 0.9940 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.9829 1.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 2 0.0000 0.9940 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.0000 0.9940 0.000 1.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0000 0.9940 0.000 1.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0000 0.9940 0.000 1.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9829 1.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.0000 0.9940 0.000 1.000
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.0000 0.9940 0.000 1.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0000 0.9940 0.000 1.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.9940 0.000 1.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0000 0.9940 0.000 1.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.0000 0.9940 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9829 1.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.6148 0.8170 0.848 0.152
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9829 1.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0000 0.9940 0.000 1.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.9829 1.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9829 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.0000 0.9940 0.000 1.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9829 1.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.9940 0.000 1.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9829 1.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.9940 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.0000 0.9940 0.000 1.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.0938 0.9822 0.012 0.988
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0000 0.9940 0.000 1.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9829 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9940 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9829 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.9940 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.9940 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9829 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.9940 0.000 1.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9829 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9940 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9829 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.9940 0.000 1.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.9940 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.9710 0.3485 0.600 0.400
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9940 0.000 1.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9829 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9829 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.9940 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9829 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.9940 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.9940 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9829 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.9940 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.9940 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9940 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.9940 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9829 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9829 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9940 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9829 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9940 0.000 1.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.9940 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9829 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.9940 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9829 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9940 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.9940 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.7219 0.7455 0.200 0.800
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9829 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9940 0.000 1.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.9940 0.000 1.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.9940 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9829 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9829 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9829 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9940 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9829 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9829 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9940 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9940 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9940 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9940 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.9940 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.9940 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9940 0.000 1.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9940 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9940 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9940 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.9940 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9829 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.9940 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9829 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.9940 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9940 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.9940 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.9940 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9940 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.927721 0.000 1.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.978984 1.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.927721 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.927721 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 3 0.0000 0.982293 0.000 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.927721 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.6295 0.167860 0.472 0.528 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.4002 0.802800 0.840 0.160 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.982293 0.000 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.927721 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.978984 1.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.7217 0.711303 0.152 0.716 0.132
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.2261 0.903323 0.932 0.068 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.927721 0.000 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.0000 0.982293 0.000 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.927721 0.000 1.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0237 0.926313 0.000 0.996 0.004
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.978984 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.927721 0.000 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.978984 1.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.927721 0.000 1.000 0.000
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#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.0000 0.927721 0.000 1.000 0.000
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.0000 0.978984 1.000 0.000 0.000
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.978984 1.000 0.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 3 0.1031 0.959584 0.000 0.024 0.976
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 1 0.5016 0.697451 0.760 0.240 0.000
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 2 0.5859 0.586785 0.000 0.656 0.344
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0000 0.978984 1.000 0.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.978984 1.000 0.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.978984 1.000 0.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0000 0.927721 0.000 1.000 0.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0000 0.982293 0.000 0.000 1.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0000 0.982293 0.000 0.000 1.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.927721 0.000 1.000 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0000 0.982293 0.000 0.000 1.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0000 0.982293 0.000 0.000 1.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.978984 1.000 0.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0000 0.982293 0.000 0.000 1.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.978984 1.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 2 0.6305 0.000181 0.484 0.516 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.2625 0.856735 0.084 0.916 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.978984 1.000 0.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.978984 1.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 2 0.3587 0.878878 0.020 0.892 0.088
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.978984 1.000 0.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.927721 0.000 1.000 0.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.1289 0.914650 0.000 0.968 0.032
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.0000 0.978984 1.000 0.000 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0000 0.927721 0.000 1.000 0.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.978984 1.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.982293 0.000 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.978984 1.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.927721 0.000 1.000 0.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.927721 0.000 1.000 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.982293 0.000 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.6111 0.478898 0.000 0.604 0.396
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.927721 0.000 1.000 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 3 0.0000 0.982293 0.000 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.982293 0.000 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.6260 0.340597 0.000 0.552 0.448
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.982293 0.000 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.978984 1.000 0.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.982293 0.000 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.0000 0.982293 0.000 0.000 1.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0424 0.924813 0.000 0.992 0.008
#> 4D9EF242-9F58-4681-ADCF-556E05932931 3 0.0424 0.975097 0.000 0.008 0.992
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.978984 1.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.3941 0.799664 0.000 0.156 0.844
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.0000 0.927721 0.000 1.000 0.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.4291 0.824785 0.000 0.820 0.180
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.927721 0.000 1.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0000 0.927721 0.000 1.000 0.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.982293 0.000 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.978984 1.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.4062 0.780531 0.836 0.164 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.978984 1.000 0.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.3752 0.852040 0.000 0.856 0.144
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0424 0.971543 0.992 0.008 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.978984 1.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.4399 0.817716 0.000 0.812 0.188
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.978984 1.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.4346 0.821305 0.000 0.816 0.184
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.978984 1.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 3 0.0000 0.982293 0.000 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.4002 0.841065 0.000 0.840 0.160
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.0000 0.927721 0.000 1.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0000 0.927721 0.000 1.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.978984 1.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.927721 0.000 1.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.978984 1.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 3 0.0000 0.982293 0.000 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.4235 0.828415 0.000 0.824 0.176
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.978984 1.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.927721 0.000 1.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.978984 1.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.927721 0.000 1.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.978984 1.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.927721 0.000 1.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.0000 0.982293 0.000 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.5948 0.406654 0.360 0.640 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.927721 0.000 1.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.978984 1.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.978984 1.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.0000 0.982293 0.000 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.978984 1.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0237 0.926281 0.000 0.996 0.004
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.4178 0.831323 0.000 0.828 0.172
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.978984 1.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.4291 0.824785 0.000 0.820 0.180
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.982293 0.000 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.927721 0.000 1.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.982293 0.000 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.978984 1.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.978984 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.927721 0.000 1.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.978984 1.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.927721 0.000 1.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.982293 0.000 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.978984 1.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.4346 0.822378 0.000 0.816 0.184
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.978984 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.927721 0.000 1.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.5058 0.752856 0.000 0.756 0.244
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.4235 0.780225 0.176 0.824 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.978984 1.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.927721 0.000 1.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.927721 0.000 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.4291 0.824785 0.000 0.820 0.180
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.978984 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.978984 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.978984 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.927721 0.000 1.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.978984 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.978984 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0592 0.922351 0.000 0.988 0.012
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.927721 0.000 1.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.927721 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.927721 0.000 1.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.927721 0.000 1.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.3816 0.849104 0.000 0.852 0.148
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.927721 0.000 1.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.927721 0.000 1.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.927721 0.000 1.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.927721 0.000 1.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.927721 0.000 1.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.978984 1.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.3752 0.853766 0.000 0.856 0.144
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.978984 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.982293 0.000 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.927721 0.000 1.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 3 0.0000 0.982293 0.000 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.1031 0.918352 0.000 0.976 0.024
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.927721 0.000 1.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.982293 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.4967 0.2529 0.452 0.548 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.3494 0.7706 0.824 0.172 0.000 0.004
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0779 0.9489 0.000 0.016 0.980 0.004
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.5416 0.6637 0.048 0.692 0.000 0.260
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.1792 0.8993 0.932 0.068 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.5452 0.6990 0.000 0.108 0.156 0.736
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.2081 0.8788 0.000 0.916 0.000 0.084
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.2530 0.8629 0.000 0.888 0.000 0.112
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.1022 0.9301 0.000 0.000 0.032 0.968
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.2081 0.8848 0.000 0.000 0.084 0.916
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.0188 0.9100 0.004 0.996 0.000 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.2081 0.8742 0.000 0.000 0.084 0.916
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.9541 0.000 0.000 0.000 1.000
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#> 61496AD6-7265-4D58-87CC-4FEE9723106E 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.0707 0.9059 0.000 0.980 0.000 0.020
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 2 0.5112 0.4472 0.000 0.608 0.384 0.008
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 1 0.4661 0.4983 0.652 0.348 0.000 0.000
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.2589 0.8597 0.000 0.884 0.000 0.116
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.3569 0.6868 0.000 0.196 0.804 0.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 2 0.5040 0.3967 0.364 0.628 0.000 0.008
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.0657 0.9052 0.012 0.984 0.000 0.004
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 2 0.3708 0.8257 0.020 0.832 0.000 0.148
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.0188 0.9765 0.996 0.000 0.000 0.004
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.4679 0.5733 0.000 0.648 0.000 0.352
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0188 0.9108 0.000 0.996 0.000 0.004
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.5074 0.6840 0.000 0.724 0.236 0.040
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.1940 0.8827 0.000 0.924 0.000 0.076
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.5195 0.6596 0.000 0.692 0.032 0.276
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.3074 0.8347 0.000 0.848 0.000 0.152
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.5220 0.5053 0.000 0.632 0.352 0.016
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.2011 0.8806 0.000 0.920 0.000 0.080
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.5096 0.6815 0.760 0.156 0.000 0.084
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.2216 0.8756 0.000 0.908 0.000 0.092
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0188 0.9763 0.996 0.004 0.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.0592 0.9401 0.000 0.016 0.000 0.984
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.2149 0.8767 0.000 0.912 0.000 0.088
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.3311 0.8152 0.000 0.828 0.000 0.172
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0188 0.9107 0.000 0.996 0.000 0.004
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.4008 0.6320 0.244 0.756 0.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0707 0.9072 0.000 0.980 0.000 0.020
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.2216 0.8745 0.000 0.908 0.000 0.092
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.4804 0.5193 0.000 0.616 0.000 0.384
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.2704 0.8546 0.000 0.876 0.000 0.124
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.4817 0.5114 0.000 0.612 0.000 0.388
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0336 0.9480 0.000 0.008 0.000 0.992
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.3356 0.7600 0.176 0.824 0.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0188 0.9108 0.000 0.996 0.000 0.004
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0336 0.9487 0.000 0.008 0.000 0.992
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0817 0.9047 0.000 0.976 0.000 0.024
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.4072 0.7316 0.000 0.748 0.000 0.252
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.1302 0.8980 0.000 0.956 0.000 0.044
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.4804 0.5184 0.000 0.616 0.000 0.384
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9803 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9710 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.9541 0.000 0.000 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.4955 0.0127 0.000 0.444 0.000 0.556
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9114 0.000 1.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9710 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0510 0.9181 0.000 0.984 0.000 0.000 0.016
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9256 1.000 0.000 0.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9193 0.000 1.000 0.000 0.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9193 0.000 1.000 0.000 0.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.9541 0.000 0.000 0.000 1.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9193 0.000 1.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.6101 0.2869 0.328 0.528 0.000 0.000 0.144
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.1043 0.8827 0.040 0.000 0.000 0.000 0.960
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0510 0.9644 0.000 0.016 0.984 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9193 0.000 1.000 0.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.1478 0.9151 0.936 0.000 0.000 0.000 0.064
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.0324 0.8960 0.004 0.000 0.000 0.004 0.992
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.4313 0.7787 0.760 0.068 0.000 0.000 0.172
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9193 0.000 1.000 0.000 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.4537 0.6775 0.000 0.184 0.076 0.740 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0510 0.9181 0.000 0.984 0.000 0.000 0.016
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.1908 0.8765 0.000 0.908 0.000 0.092 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9256 1.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9193 0.000 1.000 0.000 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0963 0.9207 0.964 0.000 0.000 0.000 0.036
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9193 0.000 1.000 0.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9864 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9256 1.000 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.1908 0.9045 0.908 0.000 0.000 0.000 0.092
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.0963 0.9237 0.000 0.000 0.036 0.964 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9193 0.000 1.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.1908 0.8716 0.000 0.000 0.092 0.908 0.000
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#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.9193 0.000 1.000 0.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.2377 0.8132 0.128 0.000 0.000 0.000 0.872
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.4211 0.5492 0.000 0.636 0.000 0.360 0.004
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.1043 0.9207 0.960 0.000 0.000 0.000 0.040
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9864 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9193 0.000 1.000 0.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.9541 0.000 0.000 0.000 1.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.6738 0.0453 0.000 0.256 0.000 0.380 0.364
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9193 0.000 1.000 0.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9864 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.2527 0.63219 0.832 0.000 0.000 0.000 0.000 0.168
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 5 0.7438 0.13819 0.228 0.212 0.000 0.000 0.392 0.168
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.3003 0.60893 0.172 0.000 0.000 0.000 0.812 0.016
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0458 0.96725 0.000 0.016 0.984 0.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.3428 0.63739 0.696 0.000 0.000 0.000 0.304 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.0000 0.70626 0.000 0.000 0.000 0.000 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.5728 -0.11049 0.380 0.000 0.000 0.000 0.452 0.168
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0260 0.83086 0.000 0.992 0.000 0.000 0.000 0.008
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.3470 0.69025 0.000 0.200 0.028 0.772 0.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.2048 0.78532 0.000 0.880 0.000 0.120 0.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0146 0.83191 0.000 0.996 0.000 0.000 0.000 0.004
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.3612 0.60613 0.780 0.000 0.000 0.000 0.052 0.168
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.98717 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.3607 0.58941 0.652 0.000 0.000 0.000 0.348 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0146 0.83201 0.000 0.996 0.000 0.000 0.000 0.004
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.1610 0.87840 0.000 0.000 0.084 0.916 0.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0146 0.76005 0.996 0.000 0.000 0.000 0.004 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.3448 0.57540 0.000 0.000 0.000 0.716 0.280 0.004
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.5735 -0.00871 0.000 0.444 0.000 0.000 0.388 0.168
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0458 0.75103 0.984 0.000 0.000 0.000 0.016 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.2697 0.72902 0.000 0.000 0.000 0.812 0.000 0.188
#> 745233F1-DF41-4DDA-9146-1666DD59355E 6 0.3804 0.43384 0.000 0.424 0.000 0.000 0.000 0.576
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.3894 0.62484 0.072 0.000 0.000 0.000 0.760 0.168
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.3869 -0.17243 0.000 0.500 0.000 0.000 0.000 0.500
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 4 0.2823 0.71138 0.000 0.000 0.204 0.796 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.3307 0.74571 0.000 0.808 0.000 0.148 0.000 0.044
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 6 0.2768 0.88222 0.000 0.156 0.000 0.012 0.000 0.832
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.0000 0.70626 0.000 0.000 0.000 0.000 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 5 0.5647 0.47167 0.132 0.056 0.000 0.000 0.644 0.168
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.3619 0.61830 0.000 0.680 0.004 0.316 0.000 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 6 0.2527 0.66973 0.000 0.000 0.000 0.168 0.000 0.832
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.2668 0.69167 0.000 0.828 0.000 0.000 0.004 0.168
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.4032 0.26437 0.000 0.008 0.000 0.572 0.000 0.420
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0547 0.82904 0.000 0.980 0.000 0.020 0.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 5 0.0000 0.70626 0.000 0.000 0.000 0.000 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.3482 0.62588 0.684 0.000 0.000 0.000 0.316 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 6 0.5709 0.38879 0.000 0.168 0.000 0.364 0.000 0.468
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.1863 0.79404 0.000 0.896 0.000 0.104 0.000 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.98717 0.000 0.000 1.000 0.000 0.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 5 0.3464 0.48072 0.312 0.000 0.000 0.000 0.688 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.0000 0.70626 0.000 0.000 0.000 0.000 1.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.2793 0.73240 0.000 0.800 0.000 0.200 0.000 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.3659 0.56884 0.636 0.000 0.000 0.000 0.364 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.2730 0.73868 0.000 0.808 0.000 0.192 0.000 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 5 0.3804 0.33537 0.424 0.000 0.000 0.000 0.576 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0260 0.83115 0.000 0.992 0.000 0.000 0.000 0.008
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0547 0.74640 0.980 0.000 0.000 0.000 0.020 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.2762 0.73547 0.000 0.804 0.000 0.196 0.000 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.2912 0.69336 0.784 0.000 0.000 0.000 0.216 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 5 0.0000 0.70626 0.000 0.000 0.000 0.000 1.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.98717 0.000 0.000 1.000 0.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.0000 0.70626 0.000 0.000 0.000 0.000 1.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 6 0.3531 0.70403 0.000 0.328 0.000 0.000 0.000 0.672
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.2597 0.64393 0.000 0.824 0.000 0.000 0.000 0.176
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 6 0.3647 0.66279 0.000 0.360 0.000 0.000 0.000 0.640
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.0000 0.70626 0.000 0.000 0.000 0.000 1.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.3810 0.11285 0.000 0.000 0.000 0.000 0.572 0.428
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.0260 0.83086 0.000 0.992 0.000 0.000 0.000 0.008
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0547 0.75741 0.980 0.000 0.000 0.000 0.020 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 6 0.2631 0.88436 0.000 0.180 0.000 0.000 0.000 0.820
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.5549 0.28922 0.000 0.536 0.000 0.000 0.296 0.168
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 5 0.5186 0.43951 0.216 0.000 0.000 0.000 0.616 0.168
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.2730 0.73883 0.000 0.808 0.000 0.192 0.000 0.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.3464 0.36406 0.000 0.688 0.000 0.000 0.000 0.312
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.0458 0.83005 0.000 0.984 0.000 0.016 0.000 0.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 5 0.1501 0.66632 0.076 0.000 0.000 0.000 0.924 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.0000 0.98717 0.000 0.000 1.000 0.000 0.000 0.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.2941 0.69139 0.780 0.000 0.000 0.000 0.220 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.3823 0.45847 0.564 0.000 0.000 0.000 0.436 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0260 0.83115 0.000 0.992 0.000 0.000 0.000 0.008
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.98717 0.000 0.000 1.000 0.000 0.000 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.98717 0.000 0.000 1.000 0.000 0.000 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 5 0.5744 -0.19217 0.408 0.000 0.000 0.000 0.424 0.168
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.3804 0.48190 0.576 0.000 0.000 0.000 0.424 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 6 0.2562 0.89000 0.000 0.172 0.000 0.000 0.000 0.828
#> 113340B4-B092-4B8C-8A13-5932525B0C33 5 0.0000 0.70626 0.000 0.000 0.000 0.000 1.000 0.000
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 4 0.0146 0.95145 0.000 0.004 0.000 0.996 0.000 0.000
#> 25B5E54F-5858-454C-9B23-440A82450912 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.3531 0.61299 0.672 0.000 0.000 0.000 0.328 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.3464 0.62978 0.688 0.000 0.000 0.000 0.312 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 5 0.3515 0.46821 0.324 0.000 0.000 0.000 0.676 0.000
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.2300 0.71367 0.000 0.856 0.000 0.000 0.000 0.144
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#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.3804 0.48190 0.576 0.000 0.000 0.000 0.424 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 6 0.3448 0.52566 0.000 0.000 0.000 0.004 0.280 0.716
#> 1FB9316D-4674-4D97-A33B-649F53D09487 6 0.2562 0.65948 0.000 0.000 0.000 0.000 0.172 0.828
#> BF513557-1518-4843-9F62-837B557D4CAB 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.3309 0.65672 0.720 0.000 0.000 0.000 0.280 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 5 0.2730 0.51405 0.192 0.000 0.000 0.000 0.808 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.2762 0.73547 0.000 0.804 0.000 0.196 0.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.3851 0.03497 0.000 0.000 0.000 0.000 0.540 0.460
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 6 0.2664 0.87802 0.000 0.184 0.000 0.000 0.000 0.816
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.2996 0.55946 0.228 0.000 0.000 0.000 0.772 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.3351 0.65201 0.712 0.000 0.000 0.000 0.288 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.2527 0.71210 0.000 0.832 0.000 0.000 0.000 0.168
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.3672 0.56030 0.000 0.632 0.000 0.368 0.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.0000 0.70626 0.000 0.000 0.000 0.000 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.98717 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.98717 0.000 0.000 1.000 0.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.5709 -0.05973 0.364 0.000 0.000 0.000 0.468 0.168
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.2969 0.68919 0.776 0.000 0.000 0.000 0.224 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.2300 0.71257 0.856 0.000 0.000 0.000 0.144 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0146 0.83191 0.000 0.996 0.000 0.000 0.000 0.004
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.98717 0.000 0.000 1.000 0.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 6 0.5019 0.04051 0.292 0.000 0.000 0.000 0.104 0.604
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.3672 0.56030 0.000 0.632 0.000 0.368 0.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0260 0.94733 0.000 0.008 0.000 0.992 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.5627 0.54695 0.052 0.644 0.000 0.000 0.136 0.168
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.0000 0.70626 0.000 0.000 0.000 0.000 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0260 0.83086 0.000 0.992 0.000 0.000 0.000 0.008
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.3464 0.51815 0.000 0.000 0.000 0.688 0.000 0.312
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.76036 1.000 0.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.2300 0.73720 0.000 0.856 0.000 0.000 0.000 0.144
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.2300 0.73934 0.000 0.856 0.000 0.000 0.000 0.144
#> 635170D3-D669-4165-B69C-9C9A246BFF11 6 0.2823 0.86263 0.000 0.204 0.000 0.000 0.000 0.796
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.3620 0.57985 0.000 0.648 0.000 0.352 0.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 6 0.2527 0.89227 0.000 0.168 0.000 0.000 0.000 0.832
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.2854 0.66522 0.000 0.792 0.000 0.000 0.000 0.208
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.83272 0.000 1.000 0.000 0.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.1863 0.64264 0.104 0.000 0.000 0.000 0.896 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 6 0.5731 0.38547 0.000 0.172 0.000 0.364 0.000 0.464
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.3244 0.66580 0.732 0.000 0.000 0.000 0.268 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.98717 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0260 0.83086 0.000 0.992 0.000 0.000 0.000 0.008
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.95506 0.000 0.000 0.000 1.000 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 6 0.3041 0.85541 0.000 0.128 0.000 0.000 0.040 0.832
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0146 0.83201 0.000 0.996 0.000 0.000 0.000 0.004
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.98717 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17630 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 0.958 0.936 0.972 0.4795 0.515 0.515
#> 3 3 0.661 0.812 0.891 0.3301 0.777 0.589
#> 4 4 0.809 0.800 0.905 0.0717 0.871 0.673
#> 5 5 0.673 0.617 0.775 0.0895 0.956 0.863
#> 6 6 0.696 0.630 0.796 0.0781 0.864 0.557
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.981 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.955 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.981 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.981 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.981 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.981 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.955 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0938 0.945 0.988 0.012
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.2423 0.959 0.040 0.960
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.981 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.955 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.955 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.955 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.981 0.000 1.000
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.981 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.981 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.981 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.955 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.981 0.000 1.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.955 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.981 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.2423 0.959 0.040 0.960
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.955 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.955 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.2423 0.959 0.040 0.960
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.981 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.981 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.955 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 1 0.9881 0.298 0.564 0.436
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.0000 0.955 1.000 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.955 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.3733 0.928 0.072 0.928
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.955 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.981 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.955 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.981 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.981 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.955 1.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.981 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.981 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.2423 0.959 0.040 0.960
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.5842 0.843 0.140 0.860
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 1 0.9795 0.340 0.584 0.416
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.955 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.955 1.000 0.000
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#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.6973 0.759 0.812 0.188
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.9460 0.463 0.636 0.364
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0000 0.981 0.000 1.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.955 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.981 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.955 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.981 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.981 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.955 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.981 0.000 1.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.955 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.981 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.955 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.981 0.000 1.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.981 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.9358 0.488 0.648 0.352
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.981 0.000 1.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.955 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.955 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.981 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.955 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.981 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.981 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.955 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.981 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.2423 0.959 0.040 0.960
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.981 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.2423 0.959 0.040 0.960
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.955 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.955 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.981 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.955 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.981 0.000 1.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.2423 0.959 0.040 0.960
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.955 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.981 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.955 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.981 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.981 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.9909 0.176 0.444 0.556
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.955 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.981 0.000 1.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.3879 0.919 0.076 0.924
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.981 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.955 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.955 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.955 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.981 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.955 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.955 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.981 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.981 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.981 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.981 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.981 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.981 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.981 0.000 1.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.981 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.981 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.981 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.981 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.955 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 1 0.9460 0.463 0.636 0.364
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.955 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.2423 0.959 0.040 0.960
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.981 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.981 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 1 0.9491 0.454 0.632 0.368
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.981 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.2423 0.959 0.040 0.960
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.1643 0.91280 0.000 0.956 0.044
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 3 0.7213 0.57184 0.272 0.060 0.668
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.92516 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.92516 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.5760 0.52392 0.000 0.672 0.328
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.92516 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.7624 0.26556 0.560 0.048 0.392
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 3 0.7353 0.48674 0.316 0.052 0.632
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.5178 0.72149 0.000 0.256 0.744
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0424 0.92513 0.000 0.992 0.008
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.1860 0.91253 0.948 0.000 0.052
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.7820 0.20869 0.544 0.056 0.400
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.6422 0.53700 0.660 0.016 0.324
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.3619 0.81768 0.000 0.864 0.136
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.1031 0.91475 0.000 0.976 0.024
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.1643 0.91195 0.000 0.956 0.044
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.92516 0.000 1.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.93015 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.2537 0.87898 0.000 0.920 0.080
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.4351 0.81569 0.828 0.004 0.168
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0424 0.92513 0.000 0.992 0.008
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.3619 0.77512 0.000 0.136 0.864
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.93015 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.2625 0.89294 0.916 0.000 0.084
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.6140 0.54063 0.000 0.404 0.596
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0592 0.92483 0.000 0.988 0.012
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.1289 0.91225 0.000 0.968 0.032
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.93015 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 3 0.5722 0.63382 0.004 0.292 0.704
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.7996 -0.02859 0.476 0.060 0.464
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.93015 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.5263 0.72224 0.116 0.060 0.824
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.93015 1.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.1031 0.91475 0.000 0.976 0.024
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.93015 1.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.6215 0.21179 0.000 0.572 0.428
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0747 0.92417 0.000 0.984 0.016
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.4047 0.83617 0.848 0.004 0.148
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.92516 0.000 1.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.5560 0.59196 0.000 0.700 0.300
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.6140 0.54564 0.000 0.404 0.596
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 3 0.5810 0.60848 0.000 0.336 0.664
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 3 0.5690 0.63618 0.004 0.288 0.708
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.1411 0.91994 0.964 0.000 0.036
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.6906 0.49819 0.644 0.032 0.324
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.5016 0.74002 0.000 0.240 0.760
#> EE4F9349-F750-4471-BFE7-7230784569E1 3 0.5864 0.63858 0.008 0.288 0.704
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.92516 0.000 1.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.93015 1.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.93015 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 3 0.6372 0.68017 0.176 0.068 0.756
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.1031 0.91475 0.000 0.976 0.024
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0892 0.91683 0.000 0.980 0.020
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 3 0.6274 0.26244 0.000 0.456 0.544
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.3340 0.82848 0.000 0.880 0.120
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0237 0.92512 0.000 0.996 0.004
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 3 0.6398 0.51004 0.008 0.372 0.620
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.92516 0.000 1.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.1643 0.91653 0.956 0.000 0.044
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.1529 0.91837 0.960 0.000 0.040
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.2066 0.91177 0.000 0.940 0.060
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 3 0.7633 0.69665 0.120 0.200 0.680
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.92516 0.000 1.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.92516 0.000 1.000 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.2261 0.88525 0.000 0.932 0.068
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.92516 0.000 1.000 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.1031 0.91475 0.000 0.976 0.024
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.1643 0.90099 0.000 0.956 0.044
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.4399 0.76858 0.000 0.188 0.812
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.93015 1.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.1529 0.91888 0.960 0.000 0.040
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0237 0.92410 0.000 0.996 0.004
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.93015 1.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.92516 0.000 1.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.93015 1.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.0892 0.91683 0.000 0.980 0.020
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.93015 1.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.5621 0.53068 0.000 0.692 0.308
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.6140 0.31398 0.000 0.596 0.404
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.2165 0.90195 0.936 0.000 0.064
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.0892 0.91733 0.000 0.980 0.020
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.93015 1.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.3896 0.75123 0.052 0.060 0.888
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.92516 0.000 1.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0237 0.92410 0.000 0.996 0.004
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0747 0.92423 0.000 0.984 0.016
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.3752 0.77426 0.000 0.144 0.856
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.5325 0.71046 0.748 0.004 0.248
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.1753 0.90027 0.000 0.952 0.048
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.6432 0.09303 0.004 0.568 0.428
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0237 0.92512 0.000 0.996 0.004
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 3 0.6559 0.67166 0.040 0.252 0.708
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.1031 0.92143 0.000 0.976 0.024
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0592 0.92154 0.000 0.988 0.012
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.2772 0.89325 0.916 0.004 0.080
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.3192 0.83854 0.000 0.888 0.112
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 3 0.6936 0.61851 0.232 0.064 0.704
#> 9ECB653A-A04F-457C-92FC-D13424511A47 3 0.6295 0.21310 0.000 0.472 0.528
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.1643 0.91653 0.956 0.000 0.044
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0237 0.92512 0.000 0.996 0.004
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 3 0.5667 0.70680 0.140 0.060 0.800
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.93015 1.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.1529 0.91837 0.960 0.000 0.040
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.0237 0.92410 0.000 0.996 0.004
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.1163 0.92074 0.000 0.972 0.028
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.2356 0.88692 0.000 0.928 0.072
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.1163 0.91469 0.000 0.972 0.028
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#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.5058 0.73126 0.000 0.244 0.756
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0747 0.92201 0.000 0.984 0.016
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.3619 0.77512 0.000 0.136 0.864
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.3193 0.87861 0.896 0.004 0.100
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.93015 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.1964 0.90421 0.000 0.944 0.056
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.3112 0.88129 0.900 0.004 0.096
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.2448 0.88314 0.000 0.924 0.076
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.3619 0.77512 0.000 0.136 0.864
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.2356 0.90115 0.928 0.000 0.072
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0592 0.92497 0.000 0.988 0.012
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.93015 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0237 0.92512 0.000 0.996 0.004
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.1031 0.91475 0.000 0.976 0.024
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 3 0.8838 0.62087 0.220 0.200 0.580
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.2261 0.90354 0.932 0.000 0.068
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.2356 0.88692 0.000 0.928 0.072
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 3 0.5497 0.63125 0.000 0.292 0.708
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.5254 0.63649 0.000 0.736 0.264
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.93015 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.93015 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.93015 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0424 0.92513 0.000 0.992 0.008
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.93015 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.93015 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.92516 0.000 1.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0237 0.92512 0.000 0.996 0.004
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.1163 0.92037 0.000 0.972 0.028
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.1411 0.91666 0.000 0.964 0.036
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.1289 0.90970 0.000 0.968 0.032
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.92516 0.000 1.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.2356 0.89190 0.000 0.928 0.072
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.1163 0.92037 0.000 0.972 0.028
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.1163 0.92037 0.000 0.972 0.028
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0237 0.92512 0.000 0.996 0.004
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.92516 0.000 1.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.2066 0.90820 0.940 0.000 0.060
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 3 0.7721 0.68557 0.168 0.152 0.680
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.93015 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.3619 0.77512 0.000 0.136 0.864
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.1163 0.92037 0.000 0.972 0.028
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.5178 0.67974 0.000 0.744 0.256
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 3 0.7199 0.70300 0.092 0.204 0.704
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0237 0.92512 0.000 0.996 0.004
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.3619 0.77512 0.000 0.136 0.864
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.0592 0.9424 0.000 0.016 0.000 0.984
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.4008 0.6637 0.244 0.756 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.4655 0.5681 0.000 0.312 0.004 0.684
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.4543 0.6233 0.324 0.676 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 2 0.1576 0.6440 0.048 0.948 0.000 0.004
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 4 0.5314 0.6847 0.000 0.084 0.176 0.740
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 4 0.0469 0.9429 0.000 0.012 0.000 0.988
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.4477 0.4502 0.688 0.312 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.4933 0.4324 0.432 0.568 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.4564 0.6199 0.328 0.672 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 4 0.2149 0.8986 0.000 0.088 0.000 0.912
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.0376 0.9436 0.000 0.004 0.004 0.992
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.0921 0.9388 0.000 0.028 0.000 0.972
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 4 0.1022 0.9364 0.000 0.032 0.000 0.968
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 2 0.4679 0.5939 0.352 0.648 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 4 0.0817 0.9393 0.000 0.024 0.000 0.976
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0188 0.9124 0.000 0.000 0.996 0.004
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.4730 0.2915 0.636 0.364 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.3528 0.7498 0.000 0.192 0.000 0.808
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 4 0.1022 0.9364 0.000 0.032 0.000 0.968
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.0376 0.9436 0.000 0.004 0.004 0.992
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.4088 0.4522 0.000 0.764 0.004 0.232
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.2814 0.6599 0.132 0.868 0.000 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.5543 0.6291 0.304 0.660 0.032 0.004
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.5151 0.0229 0.000 0.532 0.004 0.464
#> 745233F1-DF41-4DDA-9146-1666DD59355E 4 0.1118 0.9355 0.000 0.036 0.000 0.964
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.4605 0.6121 0.336 0.664 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.0336 0.9440 0.000 0.008 0.000 0.992
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.4313 0.6634 0.000 0.260 0.004 0.736
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 4 0.4936 0.5136 0.000 0.316 0.012 0.672
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.4072 0.6570 0.000 0.252 0.000 0.748
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.1902 0.6188 0.000 0.932 0.004 0.064
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.2345 0.8369 0.900 0.100 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.4564 0.6199 0.328 0.672 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.7695 -0.1343 0.000 0.372 0.220 0.408
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.2164 0.6183 0.004 0.924 0.004 0.068
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.5154 0.6213 0.324 0.660 0.012 0.004
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.5168 0.0920 0.000 0.496 0.004 0.500
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> DD028798-C4CB-43A8-81D7-711E015E23B5 4 0.1022 0.9364 0.000 0.032 0.000 0.968
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.5332 0.1391 0.004 0.480 0.004 0.512
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.4522 0.4307 0.680 0.320 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.2469 0.8195 0.892 0.108 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0376 0.9435 0.000 0.004 0.004 0.992
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.2101 0.6278 0.012 0.928 0.000 0.060
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 4 0.1118 0.9355 0.000 0.036 0.000 0.964
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 4 0.0336 0.9430 0.000 0.000 0.008 0.992
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 4 0.0336 0.9431 0.000 0.008 0.000 0.992
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.4836 0.5104 0.000 0.320 0.672 0.008
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.2814 0.8027 0.868 0.132 0.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 4 0.2814 0.8511 0.000 0.132 0.000 0.868
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.4916 0.0749 0.000 0.576 0.000 0.424
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.3764 0.6309 0.784 0.216 0.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 2 0.4920 0.2887 0.000 0.628 0.368 0.004
#> 7AE107A7-8EA7-4920-A579-2337C007920D 4 0.1118 0.9355 0.000 0.036 0.000 0.964
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 4 0.1118 0.9355 0.000 0.036 0.000 0.964
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.1209 0.8852 0.000 0.032 0.964 0.004
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 2 0.4454 0.4985 0.308 0.692 0.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 4 0.4898 0.3617 0.000 0.416 0.000 0.584
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 4 0.1118 0.9355 0.000 0.036 0.000 0.964
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.0592 0.6298 0.000 0.984 0.000 0.016
#> 3AD94D09-83F9-4E15-946F-1123E468F582 4 0.0188 0.9442 0.000 0.004 0.000 0.996
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 4 0.0336 0.9430 0.000 0.000 0.008 0.992
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.4134 0.5658 0.740 0.260 0.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.0376 0.9435 0.000 0.004 0.004 0.992
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 2 0.1489 0.6506 0.044 0.952 0.000 0.004
#> 9ECB653A-A04F-457C-92FC-D13424511A47 4 0.4837 0.5074 0.000 0.348 0.004 0.648
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.3123 0.7567 0.844 0.156 0.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 4 0.1022 0.9364 0.000 0.032 0.000 0.968
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.5648 0.6172 0.324 0.640 0.032 0.004
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.4624 0.3733 0.660 0.340 0.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.5288 -0.0203 0.000 0.520 0.472 0.008
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.3583 0.7267 0.000 0.180 0.816 0.004
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 4 0.1022 0.9364 0.000 0.032 0.000 0.968
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0188 0.9124 0.000 0.000 0.996 0.004
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#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.0188 0.6302 0.000 0.996 0.000 0.004
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 4 0.1118 0.9355 0.000 0.036 0.000 0.964
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 2 0.4972 0.2254 0.456 0.544 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.4250 0.5432 0.724 0.276 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 4 0.4867 0.6616 0.000 0.032 0.232 0.736
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 4 0.0469 0.9428 0.000 0.012 0.000 0.988
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0188 0.9124 0.000 0.000 0.996 0.004
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 2 0.4761 0.5702 0.372 0.628 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.0469 0.9424 0.000 0.012 0.000 0.988
#> 15FB165D-6751-4894-A904-C77EA723CFCB 2 0.4790 0.5581 0.380 0.620 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 4 0.1022 0.9364 0.000 0.032 0.000 0.968
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0188 0.9124 0.000 0.000 0.996 0.004
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.4761 0.2873 0.628 0.372 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0188 0.9444 0.000 0.004 0.000 0.996
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.6844 0.5745 0.292 0.592 0.008 0.108
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.4661 0.3523 0.652 0.348 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 4 0.1022 0.9364 0.000 0.032 0.000 0.968
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0188 0.6302 0.000 0.996 0.000 0.004
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.4677 0.5637 0.000 0.316 0.004 0.680
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 4 0.1118 0.9355 0.000 0.036 0.000 0.964
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 4 0.1022 0.9364 0.000 0.032 0.000 0.968
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 4 0.0469 0.9434 0.000 0.012 0.000 0.988
#> 635170D3-D669-4165-B69C-9C9A246BFF11 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.1118 0.9355 0.000 0.036 0.000 0.964
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 4 0.1022 0.9364 0.000 0.032 0.000 0.968
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 4 0.1022 0.9364 0.000 0.032 0.000 0.968
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 4 0.1022 0.9364 0.000 0.032 0.000 0.968
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 4 0.0336 0.9430 0.000 0.000 0.008 0.992
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.4730 0.2959 0.636 0.364 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.2142 0.6318 0.016 0.928 0.000 0.056
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9230 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0188 0.9124 0.000 0.000 0.996 0.004
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 4 0.1022 0.9364 0.000 0.032 0.000 0.968
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.3208 0.8169 0.000 0.148 0.004 0.848
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.2040 0.6285 0.012 0.936 0.004 0.048
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 4 0.0000 0.9446 0.000 0.000 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0188 0.9124 0.000 0.000 0.996 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.3966 0.68669 0.000 0.664 0.000 0.336 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.4061 0.33398 0.016 0.004 0.000 0.240 0.740
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.2886 0.74232 0.000 0.844 0.008 0.148 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.3093 0.74014 0.000 0.824 0.008 0.168 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.4948 0.05211 0.000 0.536 0.000 0.436 0.028
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.1952 0.75083 0.000 0.912 0.004 0.084 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 5 0.3888 0.61144 0.120 0.000 0.000 0.076 0.804
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 4 0.5130 0.30670 0.032 0.004 0.000 0.552 0.412
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.7375 0.04017 0.000 0.436 0.300 0.224 0.040
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.3480 0.72279 0.000 0.752 0.000 0.248 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.5399 -0.07767 0.496 0.000 0.000 0.056 0.448
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.6651 0.39506 0.300 0.000 0.000 0.256 0.444
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.2230 0.62822 0.116 0.000 0.000 0.000 0.884
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.4339 0.67930 0.000 0.652 0.000 0.336 0.012
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.2450 0.71882 0.000 0.896 0.076 0.028 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.4045 0.67414 0.000 0.644 0.000 0.356 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0865 0.74861 0.000 0.972 0.024 0.004 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.4387 0.66744 0.000 0.640 0.000 0.348 0.012
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.3262 0.63269 0.124 0.000 0.000 0.036 0.840
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.3534 0.72058 0.000 0.744 0.000 0.256 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.94168 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0290 0.84177 0.992 0.000 0.000 0.000 0.008
#> B7A23896-4182-48D3-A1D9-92C781BF283F 5 0.4475 0.59024 0.276 0.000 0.000 0.032 0.692
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.6118 0.14489 0.000 0.556 0.080 0.340 0.024
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.3932 0.69321 0.000 0.672 0.000 0.328 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.2079 0.72955 0.000 0.916 0.064 0.020 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0162 0.84315 0.996 0.000 0.000 0.000 0.004
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.5958 0.44163 0.000 0.200 0.000 0.592 0.208
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.6064 0.05070 0.120 0.000 0.000 0.460 0.420
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 5 0.3593 0.60472 0.092 0.020 0.000 0.044 0.844
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0290 0.84205 0.992 0.000 0.000 0.000 0.008
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.1836 0.73271 0.000 0.932 0.032 0.036 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.6468 0.39852 0.000 0.360 0.000 0.452 0.188
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.3913 0.69352 0.000 0.676 0.000 0.324 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.3732 0.63515 0.176 0.000 0.000 0.032 0.792
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.3586 0.71871 0.000 0.736 0.000 0.264 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.4746 0.24785 0.000 0.600 0.000 0.376 0.024
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.7570 -0.20271 0.000 0.372 0.212 0.364 0.052
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.6068 0.06108 0.000 0.544 0.000 0.308 0.148
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.5232 0.47355 0.000 0.104 0.000 0.668 0.228
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.5091 0.29692 0.584 0.000 0.000 0.044 0.372
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 5 0.2280 0.63031 0.120 0.000 0.000 0.000 0.880
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.7709 -0.23464 0.000 0.444 0.120 0.308 0.128
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.5693 0.45133 0.000 0.144 0.000 0.620 0.236
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.1121 0.74505 0.000 0.956 0.044 0.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 5 0.2561 0.61026 0.096 0.020 0.000 0.000 0.884
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.1478 0.73755 0.000 0.936 0.000 0.064 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.1502 0.74144 0.000 0.940 0.004 0.056 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.6191 0.41582 0.000 0.292 0.000 0.536 0.172
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.2459 0.71864 0.000 0.904 0.040 0.052 0.004
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.3966 0.68692 0.000 0.664 0.000 0.336 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.6235 0.41668 0.004 0.296 0.000 0.544 0.156
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.1121 0.74505 0.000 0.956 0.044 0.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.5553 -0.11735 0.484 0.000 0.000 0.068 0.448
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.4227 0.49339 0.692 0.000 0.000 0.016 0.292
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.1697 0.73257 0.000 0.932 0.000 0.060 0.008
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.5960 0.45058 0.004 0.140 0.000 0.592 0.264
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.3949 0.69017 0.000 0.668 0.000 0.332 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.1043 0.74594 0.000 0.960 0.040 0.000 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.1965 0.74060 0.000 0.924 0.000 0.024 0.052
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.1251 0.75212 0.000 0.956 0.008 0.036 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.1341 0.73511 0.000 0.944 0.000 0.056 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.4031 0.72523 0.000 0.772 0.000 0.184 0.044
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.7033 0.24675 0.000 0.048 0.468 0.128 0.356
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0955 0.83213 0.968 0.000 0.000 0.004 0.028
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.4958 0.32318 0.592 0.000 0.000 0.036 0.372
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.1300 0.74373 0.000 0.956 0.028 0.016 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.1608 0.80221 0.928 0.000 0.000 0.000 0.072
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.3353 0.73527 0.000 0.796 0.008 0.196 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0324 0.84191 0.992 0.000 0.000 0.004 0.004
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.1818 0.73747 0.000 0.932 0.044 0.024 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0162 0.84295 0.996 0.000 0.000 0.000 0.004
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.6176 0.46580 0.000 0.540 0.000 0.288 0.172
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 4 0.4967 0.09540 0.000 0.280 0.000 0.660 0.060
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.5675 0.14343 0.556 0.000 0.000 0.092 0.352
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.1661 0.73540 0.000 0.940 0.024 0.036 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 5 0.5541 0.35652 0.000 0.008 0.168 0.152 0.672
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.3816 0.70360 0.000 0.696 0.000 0.304 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.1251 0.74510 0.000 0.956 0.036 0.008 0.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.3999 0.68098 0.000 0.656 0.000 0.344 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.1704 0.88791 0.000 0.000 0.928 0.004 0.068
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.6532 0.12441 0.196 0.000 0.000 0.384 0.420
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.3582 0.72874 0.000 0.768 0.000 0.224 0.008
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 4 0.6610 0.06646 0.000 0.340 0.000 0.436 0.224
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.3949 0.68895 0.000 0.668 0.000 0.332 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 4 0.5204 0.36756 0.000 0.048 0.000 0.560 0.392
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.3582 0.72881 0.000 0.768 0.000 0.224 0.008
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.1282 0.74398 0.000 0.952 0.044 0.004 0.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.6288 -0.14570 0.472 0.000 0.000 0.156 0.372
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.2238 0.72093 0.000 0.912 0.020 0.064 0.004
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 4 0.4375 0.32634 0.000 0.004 0.000 0.576 0.420
#> 9ECB653A-A04F-457C-92FC-D13424511A47 4 0.6764 -0.02290 0.000 0.360 0.000 0.372 0.268
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.4456 0.42872 0.660 0.000 0.000 0.020 0.320
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#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0510 0.94048 0.000 0.000 0.984 0.016 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 5 0.5006 0.49990 0.100 0.004 0.000 0.184 0.712
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.94168 0.000 0.000 1.000 0.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 5 0.6743 0.12717 0.000 0.020 0.368 0.148 0.464
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0898 0.75073 0.000 0.972 0.008 0.020 0.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.3326 0.66434 0.000 0.824 0.000 0.152 0.024
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0566 0.84066 0.984 0.000 0.000 0.004 0.012
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 5 0.7517 0.07578 0.000 0.048 0.356 0.212 0.384
#> D902E43A-F384-432A-B690-D20BFCC78443 4 0.3766 0.43652 0.000 0.004 0.000 0.728 0.268
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.1341 0.73836 0.000 0.944 0.000 0.056 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.4015 0.67773 0.000 0.652 0.000 0.348 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.6526 0.32444 0.000 0.484 0.000 0.256 0.260
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.94168 0.000 0.000 1.000 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.3877 0.62982 0.764 0.000 0.000 0.024 0.212
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.6373 0.04808 0.164 0.000 0.000 0.416 0.420
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.6299 -0.13222 0.464 0.000 0.000 0.156 0.380
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0963 0.74692 0.000 0.964 0.036 0.000 0.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 5 0.2280 0.62925 0.120 0.000 0.000 0.000 0.880
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.5889 0.44458 0.004 0.128 0.000 0.596 0.272
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.3039 0.67337 0.808 0.000 0.000 0.000 0.192
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.2017 0.73217 0.000 0.912 0.000 0.080 0.008
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.1205 0.82556 0.956 0.000 0.000 0.004 0.040
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.1341 0.73511 0.000 0.944 0.000 0.056 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.4730 0.30982 0.012 0.004 0.000 0.568 0.416
#> 1FB9316D-4674-4D97-A33B-649F53D09487 4 0.4375 0.34408 0.000 0.004 0.000 0.576 0.420
#> BF513557-1518-4843-9F62-837B557D4CAB 4 0.5433 0.40284 0.000 0.092 0.000 0.620 0.288
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0324 0.84191 0.992 0.000 0.000 0.004 0.004
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.3305 0.72941 0.000 0.776 0.000 0.224 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0324 0.84191 0.992 0.000 0.000 0.004 0.004
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.2915 0.70008 0.000 0.860 0.000 0.116 0.024
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.1907 0.73553 0.000 0.928 0.044 0.028 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 4 0.5404 0.40333 0.000 0.100 0.000 0.636 0.264
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.3949 0.68924 0.000 0.668 0.000 0.332 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.1270 0.73946 0.000 0.948 0.000 0.000 0.052
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.2451 0.71886 0.000 0.904 0.036 0.056 0.004
#> A541B123-A51C-4EF0-839E-8A9513311C98 4 0.4415 0.32398 0.000 0.004 0.000 0.552 0.444
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.4030 0.67489 0.000 0.648 0.000 0.352 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.6712 0.23958 0.256 0.000 0.000 0.332 0.412
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.2299 0.72332 0.000 0.912 0.032 0.052 0.004
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0898 0.74868 0.000 0.972 0.008 0.020 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.1310 0.74697 0.000 0.956 0.024 0.020 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.6318 -0.08243 0.488 0.000 0.000 0.168 0.344
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.1830 0.73712 0.000 0.924 0.000 0.068 0.008
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.7234 -0.04870 0.000 0.384 0.376 0.212 0.028
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.3336 0.72852 0.000 0.772 0.000 0.228 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.94168 0.000 0.000 1.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.4595 0.62379 0.172 0.000 0.000 0.088 0.740
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0162 0.84315 0.996 0.000 0.000 0.000 0.004
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.3949 0.69143 0.000 0.668 0.000 0.332 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 5 0.4219 0.63234 0.156 0.000 0.000 0.072 0.772
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.3983 0.68315 0.000 0.660 0.000 0.340 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.94168 0.000 0.000 1.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.6247 -0.27977 0.428 0.000 0.000 0.144 0.428
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0955 0.74843 0.000 0.968 0.000 0.028 0.004
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.3006 0.74059 0.000 0.836 0.004 0.156 0.004
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.1648 0.73569 0.000 0.940 0.020 0.040 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 5 0.2989 0.54488 0.052 0.024 0.000 0.040 0.884
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.6410 -0.17844 0.456 0.000 0.000 0.176 0.368
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.3932 0.69109 0.000 0.672 0.000 0.328 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 4 0.5002 0.40879 0.000 0.052 0.000 0.636 0.312
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.5156 0.39127 0.000 0.620 0.000 0.320 0.060
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.3932 0.69123 0.000 0.672 0.000 0.328 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.84428 1.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0880 0.74747 0.000 0.968 0.032 0.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.3430 0.73010 0.000 0.776 0.004 0.220 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.3816 0.70340 0.000 0.696 0.000 0.304 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.3949 0.68911 0.000 0.668 0.000 0.332 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.1818 0.74274 0.000 0.932 0.000 0.024 0.044
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0898 0.75026 0.000 0.972 0.008 0.020 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.4101 0.66025 0.000 0.628 0.000 0.372 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.3966 0.68726 0.000 0.664 0.000 0.336 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.3796 0.70426 0.000 0.700 0.000 0.300 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.3999 0.68181 0.000 0.656 0.000 0.344 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.1522 0.74129 0.000 0.944 0.044 0.012 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.6490 -0.25887 0.432 0.000 0.000 0.188 0.380
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.6196 0.44398 0.012 0.140 0.000 0.580 0.268
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0162 0.84343 0.996 0.000 0.000 0.000 0.004
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.94168 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.3983 0.68510 0.000 0.660 0.000 0.340 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.4558 0.37910 0.000 0.652 0.000 0.324 0.024
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.5678 0.44645 0.000 0.128 0.000 0.612 0.260
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.3487 0.73170 0.000 0.780 0.008 0.212 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.94168 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.2212 0.80344 0.000 0.880 0.000 0.112 0.008 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 6 0.5076 0.33633 0.000 0.248 0.000 0.000 0.132 0.620
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 4 0.2454 0.70927 0.000 0.160 0.000 0.840 0.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.3240 0.58588 0.000 0.244 0.000 0.752 0.004 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.3756 0.42572 0.000 0.000 0.000 0.600 0.400 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 4 0.3992 0.28541 0.000 0.364 0.000 0.624 0.012 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.2987 0.57667 0.080 0.008 0.000 0.000 0.056 0.856
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 6 0.6655 -0.08194 0.056 0.164 0.000 0.000 0.388 0.392
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 4 0.5491 0.43123 0.000 0.004 0.280 0.588 0.120 0.008
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.3672 0.55540 0.000 0.632 0.000 0.368 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 6 0.5211 0.27010 0.388 0.000 0.000 0.000 0.096 0.516
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 6 0.5768 0.12943 0.148 0.008 0.000 0.000 0.340 0.504
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 6 0.1844 0.57540 0.048 0.004 0.000 0.000 0.024 0.924
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.3768 0.78347 0.000 0.796 0.000 0.140 0.024 0.040
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.1296 0.80365 0.000 0.004 0.044 0.948 0.000 0.004
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.1196 0.78239 0.000 0.952 0.000 0.040 0.008 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.1285 0.80437 0.000 0.052 0.000 0.944 0.004 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.1918 0.82933 0.904 0.000 0.000 0.000 0.088 0.008
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.3386 0.77826 0.000 0.788 0.000 0.188 0.008 0.016
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 6 0.2595 0.56950 0.084 0.000 0.000 0.000 0.044 0.872
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.3563 0.61050 0.000 0.664 0.000 0.336 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0260 0.93655 0.000 0.000 0.992 0.000 0.008 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.1367 0.83040 0.944 0.000 0.000 0.000 0.012 0.044
#> B7A23896-4182-48D3-A1D9-92C781BF283F 6 0.4819 0.45981 0.228 0.000 0.000 0.000 0.116 0.656
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.4687 0.58009 0.000 0.004 0.060 0.700 0.220 0.016
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.2100 0.80226 0.000 0.884 0.000 0.112 0.004 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.1495 0.81142 0.000 0.020 0.020 0.948 0.008 0.004
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0993 0.83090 0.964 0.000 0.000 0.000 0.024 0.012
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 5 0.3939 0.48739 0.000 0.044 0.000 0.160 0.776 0.020
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.5417 0.43125 0.108 0.012 0.000 0.000 0.580 0.300
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.1663 0.82951 0.912 0.000 0.000 0.000 0.088 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 6 0.3418 0.52852 0.028 0.020 0.000 0.040 0.060 0.852
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.1765 0.82493 0.924 0.000 0.000 0.000 0.024 0.052
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.1204 0.80706 0.000 0.004 0.016 0.960 0.016 0.004
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.1663 0.82951 0.912 0.000 0.000 0.000 0.088 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 5 0.4399 0.48830 0.000 0.048 0.000 0.164 0.748 0.040
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.2212 0.80238 0.000 0.880 0.000 0.112 0.008 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 6 0.2145 0.57902 0.072 0.000 0.000 0.000 0.028 0.900
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.3714 0.59262 0.000 0.656 0.000 0.340 0.004 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.3695 0.47141 0.000 0.000 0.000 0.624 0.376 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 4 0.6007 0.38131 0.000 0.004 0.188 0.548 0.244 0.016
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.5769 -0.01701 0.000 0.064 0.000 0.444 0.448 0.044
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.4131 0.55246 0.000 0.044 0.000 0.032 0.768 0.156
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.5229 0.51719 0.608 0.008 0.000 0.000 0.108 0.276
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 6 0.2074 0.57112 0.048 0.004 0.000 0.000 0.036 0.912
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.5784 0.52154 0.000 0.020 0.128 0.652 0.164 0.036
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.4489 0.54078 0.000 0.052 0.000 0.064 0.756 0.128
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.1410 0.80725 0.000 0.044 0.008 0.944 0.000 0.004
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.1124 0.83444 0.956 0.000 0.000 0.000 0.036 0.008
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.1391 0.83402 0.944 0.000 0.000 0.000 0.040 0.016
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 6 0.2995 0.53839 0.032 0.012 0.000 0.040 0.040 0.876
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.1462 0.80393 0.000 0.008 0.000 0.936 0.056 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.1151 0.80991 0.000 0.012 0.000 0.956 0.032 0.000
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#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.2234 0.80233 0.000 0.872 0.000 0.124 0.004 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 4 0.3229 0.67995 0.000 0.172 0.000 0.804 0.020 0.004
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.1398 0.80456 0.000 0.052 0.000 0.940 0.008 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.1225 0.77688 0.000 0.952 0.000 0.036 0.012 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.2558 0.79393 0.000 0.840 0.000 0.156 0.004 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.3266 0.70036 0.000 0.728 0.000 0.272 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0935 0.77911 0.000 0.964 0.000 0.032 0.004 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 4 0.1477 0.80791 0.000 0.048 0.008 0.940 0.000 0.004
#> A280A4AF-0687-40CA-8804-C6173B33E732 6 0.5606 0.34075 0.220 0.008 0.000 0.000 0.192 0.580
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 5 0.4281 0.55268 0.004 0.008 0.000 0.056 0.736 0.196
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.1970 0.83330 0.920 0.008 0.000 0.000 0.028 0.044
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0260 0.93655 0.000 0.000 0.992 0.000 0.008 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.1806 0.80068 0.000 0.908 0.000 0.088 0.004 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.3634 0.50697 0.000 0.000 0.000 0.644 0.356 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.3671 0.55454 0.000 0.008 0.000 0.040 0.784 0.168
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 4 0.3868 -0.16854 0.000 0.492 0.000 0.508 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0260 0.93655 0.000 0.000 0.992 0.000 0.008 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "NMF"]
# you can also extract it by
# res = res_list["MAD:NMF"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17630 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 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 1.000 0.969 0.987 0.4851 0.515 0.515
#> 3 3 0.842 0.880 0.946 0.3295 0.776 0.593
#> 4 4 0.929 0.907 0.960 0.1433 0.832 0.576
#> 5 5 0.721 0.659 0.833 0.0513 0.950 0.823
#> 6 6 0.701 0.557 0.749 0.0440 0.881 0.582
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
#> 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.991 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.981 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.991 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.991 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.991 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.991 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.981 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.981 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.991 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.991 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.981 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.5178 0.866 0.884 0.116
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.981 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 1 0.5059 0.869 0.888 0.112
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.991 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.991 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.991 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.981 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0376 0.987 0.004 0.996
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.981 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.991 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.991 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.981 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.981 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.991 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.991 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.991 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.981 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.991 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.0000 0.991 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.981 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.9209 0.483 0.336 0.664
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.981 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.991 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.981 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.991 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.991 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.981 1.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.991 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.991 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.991 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.991 0.000 1.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0000 0.991 0.000 1.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.981 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.981 1.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0000 0.991 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.991 0.000 1.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.991 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.981 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.981 1.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.8016 0.685 0.756 0.244
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.991 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.991 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.991 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0000 0.991 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.991 0.000 1.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.991 0.000 1.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.991 0.000 1.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.981 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.981 1.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.991 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0000 0.991 0.000 1.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.991 0.000 1.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.991 0.000 1.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.991 0.000 1.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.991 0.000 1.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0000 0.991 0.000 1.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.991 0.000 1.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.0000 0.991 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.981 1.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.981 1.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.991 0.000 1.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.981 1.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.991 0.000 1.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.981 1.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.0000 0.991 0.000 1.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.981 1.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.991 0.000 1.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.991 0.000 1.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.981 1.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.0000 0.991 0.000 1.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.981 1.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.8608 0.614 0.716 0.284
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.991 0.000 1.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0000 0.991 0.000 1.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.991 0.000 1.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 2 0.0000 0.991 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.0000 0.981 1.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.991 0.000 1.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.9815 0.264 0.420 0.580
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.991 0.000 1.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 1 0.0000 0.981 1.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.991 0.000 1.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0000 0.991 0.000 1.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.981 1.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.0000 0.991 0.000 1.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 1 0.5629 0.846 0.868 0.132
#> 9ECB653A-A04F-457C-92FC-D13424511A47 1 0.0000 0.981 1.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.981 1.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.991 0.000 1.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.0000 0.991 0.000 1.000
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.981 1.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.981 1.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.0000 0.991 0.000 1.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.0000 0.991 0.000 1.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.991 0.000 1.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.991 0.000 1.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.991 0.000 1.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.0000 0.991 0.000 1.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.981 1.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.981 1.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 2 0.0000 0.991 0.000 1.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 2 0.0000 0.991 0.000 1.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.981 1.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.981 1.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.981 1.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0000 0.991 0.000 1.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 2 0.0000 0.991 0.000 1.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 2 0.0000 0.991 0.000 1.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 2 0.0000 0.991 0.000 1.000
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#> 776FDD5D-E929-47F0-AE37-81B7431DD6CC 2 0.0000 0.991 0.000 1.000
#> AABDF22D-9C2A-4994-A2D7-5167F23DDF36 2 0.0000 0.991 0.000 1.000
#> A3874F0D-53A9-43C8-87EE-65C12C0F8135 1 0.0000 0.981 1.000 0.000
#> 928F7FA4-4D64-4708-8C98-43BA704A7B9E 1 0.0000 0.981 1.000 0.000
#> 030CF1C8-2006-4620-B6BE-68A2CC2A0F05 2 0.0000 0.991 0.000 1.000
#> 589A94F8-2432-4D6D-94EB-B327ECA291AF 2 0.0000 0.991 0.000 1.000
#> 85C10CC2-8B28-4C50-BBD9-95947F4624EF 2 0.0000 0.991 0.000 1.000
#> 01169BCB-82ED-4492-9FD0-630CCEA70023 2 0.0000 0.991 0.000 1.000
#> B1A2365C-5491-4E85-AE7E-97B9DB8FF8D1 1 0.8327 0.650 0.736 0.264
#> 67B2F9CD-759E-4300-8F4B-1B5C4F9E0B1C 2 0.0000 0.991 0.000 1.000
#> B8AED170-C88C-4A86-8377-93B5D14AB334 1 0.0000 0.981 1.000 0.000
#> F1D36132-F3C3-47BB-A41F-A10DF40B69D1 2 0.0000 0.991 0.000 1.000
#> 50DE1FDE-B85E-4677-B0F8-08275DA41A6E 1 0.2778 0.938 0.952 0.048
#> 5C40F9B6-4A54-4861-9DE5-8852BF4B13E7 1 0.0000 0.981 1.000 0.000
#> B1E5EF8F-A11D-422A-A3CD-EC70CCC440D5 2 0.0000 0.991 0.000 1.000
#> 57AA1143-0FA1-4197-8CBE-517F6B885753 2 0.0000 0.991 0.000 1.000
#> B6C02F90-8F0E-46F5-B82D-240B3A4B44DD 2 0.0000 0.991 0.000 1.000
#> 387C53ED-A9ED-481F-87D9-87090B690E0E 2 0.0000 0.991 0.000 1.000
#> 443B751F-4F0B-45A1-BC83-24E446E8E573 2 0.0000 0.991 0.000 1.000
#> 74897E26-10A5-4484-A867-CE7C86DDB7E2 2 0.0000 0.991 0.000 1.000
#> 0876D5B1-AA68-4E43-8BBE-9EE2CDC6879E 2 0.0000 0.991 0.000 1.000
#> D42E39B0-7962-4880-A182-4596DB01B202 2 0.0000 0.991 0.000 1.000
#> 84778027-9C8E-4364-9069-70D8B86D6916 2 0.0000 0.991 0.000 1.000
#> C635C019-A66D-42B7-911C-4D0742CAF95A 1 0.0000 0.981 1.000 0.000
#> 1667B17C-C5E2-4E65-98FF-A6DDE44CC4B6 2 0.0000 0.991 0.000 1.000
#> 1C62E679-3A4E-4D10-8BFB-5BFBF2A3B4B6 1 0.0000 0.981 1.000 0.000
#> 39777F3A-0854-4C8E-9FF4-9A1369C4733D 2 0.0000 0.991 0.000 1.000
#> AC25E68C-76EA-40E0-912F-29C632BC0996 1 0.0000 0.981 1.000 0.000
#> 3DA19761-6FF3-4E8C-AA0F-C04CE2CE7037 2 0.0000 0.991 0.000 1.000
#> 2E401C42-010F-4AFC-A362-B69426418626 1 0.0000 0.981 1.000 0.000
#> 913D6292-6507-4F86-A120-137CEACE5C9F 2 0.0000 0.991 0.000 1.000
#> F35F85A8-B3CD-4116-990F-94B2E432F902 2 0.0000 0.991 0.000 1.000
#> EEE5E45B-D2E3-4CFA-AC5F-8AE1EC2CB61C 2 0.0000 0.991 0.000 1.000
#> 7B6D13EE-FE13-4BA8-BA65-1A10307A7936 2 0.0000 0.991 0.000 1.000
#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.0376 0.987 0.004 0.996
#> A130FABA-F55F-412D-940E-7305057B4D1A 2 0.0000 0.991 0.000 1.000
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 2 0.0000 0.991 0.000 1.000
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 1 0.0000 0.981 1.000 0.000
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 1 0.0000 0.981 1.000 0.000
#> E3887082-4C43-426C-8580-ECAA4EFEC577 2 0.0000 0.991 0.000 1.000
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 1 0.4298 0.897 0.912 0.088
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 2 0.0000 0.991 0.000 1.000
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 2 0.0000 0.991 0.000 1.000
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 2 0.0000 0.991 0.000 1.000
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 1 0.0000 0.981 1.000 0.000
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.0000 0.981 1.000 0.000
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 2 0.0000 0.991 0.000 1.000
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0000 0.981 1.000 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 1 0.0000 0.981 1.000 0.000
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 2 0.0000 0.991 0.000 1.000
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.0000 0.981 1.000 0.000
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0000 0.991 0.000 1.000
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 2 0.0000 0.991 0.000 1.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 2 0.0000 0.991 0.000 1.000
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.0000 0.991 0.000 1.000
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.0000 0.981 1.000 0.000
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.981 1.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 2 0.0000 0.991 0.000 1.000
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 1 0.0000 0.981 1.000 0.000
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 2 0.0000 0.991 0.000 1.000
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0000 0.981 1.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.981 1.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.981 1.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0000 0.991 0.000 1.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 2 0.0000 0.991 0.000 1.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 2 0.0000 0.991 0.000 1.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.991 0.000 1.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 2 0.0000 0.991 0.000 1.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 2 0.0000 0.991 0.000 1.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.981 1.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 2 0.0000 0.991 0.000 1.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.981 1.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.0000 0.981 1.000 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 1 0.0000 0.981 1.000 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.981 1.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.981 1.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.6887 0.778 0.816 0.184
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.981 1.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.3274 0.928 0.060 0.940
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0000 0.991 0.000 1.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.0000 0.981 1.000 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0000 0.991 0.000 1.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.981 1.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 2 0.0000 0.991 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.981 1.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.991 0.000 1.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.991 0.000 1.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 2 0.0000 0.991 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.0000 0.991 0.000 1.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.991 0.000 1.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.0000 0.991 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 2 0.0000 0.991 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.0000 0.991 0.000 1.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 2 0.0000 0.991 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.981 1.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 2 0.0000 0.991 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.0000 0.991 0.000 1.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0000 0.991 0.000 1.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0000 0.991 0.000 1.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.981 1.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.0000 0.991 0.000 1.000
#> D902E43A-F384-432A-B690-D20BFCC78443 1 0.8207 0.666 0.744 0.256
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0000 0.991 0.000 1.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.991 0.000 1.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.4161 0.901 0.084 0.916
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.0000 0.991 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.981 1.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.981 1.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.981 1.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0000 0.991 0.000 1.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.981 1.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.981 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.0000 0.991 0.000 1.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.981 1.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.991 0.000 1.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.981 1.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.991 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.9795 0.276 0.416 0.584
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.981 1.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 1 0.0000 0.981 1.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.981 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.991 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.981 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.991 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.991 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.981 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 1 0.0000 0.981 1.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.981 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.991 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.981 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.991 0.000 1.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.991 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.981 1.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.991 0.000 1.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.981 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.981 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.991 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.981 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.991 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.991 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.981 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.991 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.991 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.991 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.991 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.981 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.981 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.991 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.981 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.1184 0.975 0.016 0.984
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.991 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.981 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.991 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.981 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.991 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.991 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.0000 0.981 1.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.981 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.1633 0.967 0.024 0.976
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.0000 0.981 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.991 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.981 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.981 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.981 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.991 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.981 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.981 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.991 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.991 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.991 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.991 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.991 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.991 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.991 0.000 1.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.991 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.991 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.991 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.991 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.981 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.991 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.981 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.991 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.991 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.991 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.991 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.991 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.991 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0237 0.91226 0.000 0.996 0.004
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.1267 0.95502 0.972 0.024 0.004
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.91196 0.000 1.000 0.000
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#> E3887082-4C43-426C-8580-ECAA4EFEC577 3 0.0000 0.93296 0.000 0.000 1.000
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 1 0.2448 0.89840 0.924 0.000 0.076
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 3 0.0237 0.93592 0.000 0.004 0.996
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 2 0.3752 0.82609 0.000 0.856 0.144
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 2 0.0237 0.91226 0.000 0.996 0.004
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 1 0.0000 0.97673 1.000 0.000 0.000
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.0000 0.97673 1.000 0.000 0.000
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 3 0.0237 0.93592 0.000 0.004 0.996
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0000 0.97673 1.000 0.000 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 2 0.0424 0.90931 0.008 0.992 0.000
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 2 0.3879 0.82024 0.000 0.848 0.152
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.0000 0.97673 1.000 0.000 0.000
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0000 0.91196 0.000 1.000 0.000
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 3 0.0237 0.93592 0.000 0.004 0.996
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 3 0.0237 0.93592 0.000 0.004 0.996
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.0424 0.91147 0.000 0.992 0.008
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.0000 0.97673 1.000 0.000 0.000
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.97673 1.000 0.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 3 0.0237 0.93592 0.000 0.004 0.996
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 1 0.0237 0.97387 0.996 0.004 0.000
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 2 0.3686 0.82946 0.000 0.860 0.140
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0000 0.97673 1.000 0.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.97673 1.000 0.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.97673 1.000 0.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0237 0.91226 0.000 0.996 0.004
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0237 0.93592 0.000 0.004 0.996
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0237 0.93592 0.000 0.004 0.996
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0237 0.91071 0.000 0.996 0.004
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0237 0.93592 0.000 0.004 0.996
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0237 0.93592 0.000 0.004 0.996
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.97673 1.000 0.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0237 0.93592 0.000 0.004 0.996
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.97673 1.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.5465 0.61888 0.712 0.288 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.6309 -0.00463 0.496 0.504 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.97673 1.000 0.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.97673 1.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.5098 0.65592 0.752 0.000 0.248
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0237 0.97459 0.996 0.000 0.004
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0237 0.91071 0.000 0.996 0.004
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0237 0.91226 0.000 0.996 0.004
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.0475 0.97221 0.992 0.004 0.004
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0237 0.91226 0.000 0.996 0.004
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.97673 1.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0237 0.93592 0.000 0.004 0.996
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.97673 1.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.91196 0.000 1.000 0.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0237 0.91071 0.000 0.996 0.004
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0237 0.93592 0.000 0.004 0.996
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.0237 0.93592 0.000 0.004 0.996
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0237 0.91226 0.000 0.996 0.004
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.6309 0.12215 0.000 0.504 0.496
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0237 0.93592 0.000 0.004 0.996
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.6309 -0.10513 0.000 0.496 0.504
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0237 0.93592 0.000 0.004 0.996
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0661 0.96940 0.988 0.008 0.004
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0237 0.93592 0.000 0.004 0.996
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.0000 0.93296 0.000 0.000 1.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0237 0.91226 0.000 0.996 0.004
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.4452 0.77818 0.000 0.808 0.192
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.97673 1.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.0000 0.93296 0.000 0.000 1.000
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.0424 0.90931 0.008 0.992 0.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.2537 0.87432 0.000 0.920 0.080
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.91196 0.000 1.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.3112 0.82223 0.096 0.900 0.004
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0237 0.93592 0.000 0.004 0.996
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.97673 1.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.3619 0.81349 0.864 0.136 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.97673 1.000 0.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.6192 0.24519 0.000 0.580 0.420
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0661 0.96940 0.988 0.008 0.004
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.97673 1.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.4750 0.74991 0.000 0.784 0.216
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.97673 1.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.2878 0.86361 0.000 0.904 0.096
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.97673 1.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.5291 0.67961 0.000 0.732 0.268
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.4249 0.84118 0.028 0.864 0.108
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.0592 0.90733 0.012 0.988 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0237 0.91038 0.004 0.996 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.97673 1.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0237 0.91071 0.000 0.996 0.004
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.97673 1.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.4654 0.75957 0.000 0.792 0.208
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.1031 0.92119 0.000 0.024 0.976
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.97673 1.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0237 0.91038 0.004 0.996 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.97673 1.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.91196 0.000 1.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.97673 1.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.5178 0.62314 0.000 0.744 0.256
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.4842 0.67490 0.000 0.224 0.776
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.3752 0.82161 0.856 0.144 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0237 0.91071 0.000 0.996 0.004
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.97673 1.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.97673 1.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.5835 0.43376 0.000 0.340 0.660
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.97673 1.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0592 0.91063 0.000 0.988 0.012
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0424 0.91147 0.000 0.992 0.008
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.97673 1.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.2878 0.86384 0.000 0.904 0.096
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0237 0.93592 0.000 0.004 0.996
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0237 0.91071 0.000 0.996 0.004
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0237 0.93592 0.000 0.004 0.996
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.97673 1.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.97673 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0237 0.91226 0.000 0.996 0.004
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0237 0.97459 0.996 0.000 0.004
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0237 0.91071 0.000 0.996 0.004
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0237 0.93592 0.000 0.004 0.996
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0237 0.97459 0.996 0.000 0.004
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.1411 0.90003 0.000 0.964 0.036
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.97673 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.3482 0.80965 0.000 0.872 0.128
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.4002 0.81193 0.000 0.840 0.160
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.3120 0.89055 0.908 0.080 0.012
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.97673 1.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0237 0.91071 0.000 0.996 0.004
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.1289 0.89011 0.032 0.968 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0592 0.91033 0.000 0.988 0.012
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.97673 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.97673 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.97673 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0237 0.91226 0.000 0.996 0.004
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.97673 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.97673 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0237 0.91226 0.000 0.996 0.004
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0237 0.91071 0.000 0.996 0.004
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0237 0.91071 0.000 0.996 0.004
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.91196 0.000 1.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0424 0.91171 0.000 0.992 0.008
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0237 0.91226 0.000 0.996 0.004
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0237 0.91226 0.000 0.996 0.004
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0237 0.91071 0.000 0.996 0.004
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0237 0.91071 0.000 0.996 0.004
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0237 0.91226 0.000 0.996 0.004
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.3192 0.84384 0.000 0.112 0.888
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.97673 1.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.4504 0.77400 0.000 0.804 0.196
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.97673 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0237 0.93592 0.000 0.004 0.996
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0237 0.91071 0.000 0.996 0.004
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.5621 0.61440 0.000 0.692 0.308
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.1643 0.89593 0.000 0.956 0.044
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.91196 0.000 1.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0237 0.93592 0.000 0.004 0.996
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.2589 0.8587 0.000 0.116 0.000 0.884
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.1792 0.8636 0.068 0.932 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0336 0.9139 0.000 0.992 0.000 0.008
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0469 0.9130 0.000 0.988 0.000 0.012
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0469 0.9130 0.000 0.988 0.000 0.012
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.3610 0.7267 0.200 0.800 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.1637 0.8686 0.060 0.940 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.1867 0.9045 0.000 0.072 0.000 0.928
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0469 0.9130 0.000 0.988 0.000 0.012
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 2 0.4933 0.2530 0.432 0.568 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9842 1.000 0.000 0.000 0.000
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#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 1 0.0921 0.9586 0.972 0.000 0.000 0.028
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 2 0.0469 0.9130 0.000 0.988 0.000 0.012
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 4 0.0188 0.9526 0.000 0.004 0.000 0.996
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 4 0.1406 0.9338 0.000 0.016 0.024 0.960
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.3569 0.7414 0.000 0.804 0.000 0.196
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.4941 0.2677 0.000 0.564 0.000 0.436
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 4 0.1867 0.9036 0.000 0.072 0.000 0.928
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.2704 0.8493 0.876 0.124 0.000 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 1 0.3056 0.8773 0.888 0.040 0.000 0.072
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0188 0.9815 0.996 0.004 0.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0469 0.9130 0.000 0.988 0.000 0.012
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.4948 0.1924 0.560 0.440 0.000 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.3942 0.6892 0.000 0.764 0.000 0.236
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.3688 0.7205 0.000 0.000 0.792 0.208
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 2 0.4222 0.6241 0.272 0.728 0.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0817 0.9069 0.000 0.976 0.000 0.024
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> D902E43A-F384-432A-B690-D20BFCC78443 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.4072 0.6619 0.000 0.748 0.000 0.252
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.4624 0.4739 0.660 0.000 0.000 0.340
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0188 0.9135 0.000 0.996 0.004 0.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.1302 0.8826 0.044 0.956 0.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.0469 0.9446 0.012 0.000 0.000 0.988
#> 1FB9316D-4674-4D97-A33B-649F53D09487 4 0.3942 0.6837 0.236 0.000 0.000 0.764
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.3688 0.7385 0.000 0.792 0.000 0.208
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0469 0.9130 0.000 0.988 0.000 0.012
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0469 0.9476 0.000 0.000 0.012 0.988
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0188 0.9815 0.996 0.004 0.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0188 0.9522 0.000 0.000 0.004 0.996
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.4872 0.4826 0.000 0.640 0.004 0.356
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.0188 0.9526 0.000 0.004 0.000 0.996
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0188 0.9815 0.996 0.004 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0188 0.9524 0.000 0.000 0.004 0.996
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.0188 0.9126 0.004 0.996 0.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0188 0.9815 0.996 0.004 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.4008 0.6758 0.000 0.756 0.000 0.244
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0469 0.9130 0.000 0.988 0.000 0.012
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.4406 0.5997 0.000 0.700 0.000 0.300
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.1940 0.8691 0.000 0.924 0.000 0.076
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.1557 0.9167 0.000 0.056 0.000 0.944
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.1867 0.9045 0.000 0.072 0.000 0.928
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0188 0.9143 0.000 0.996 0.000 0.004
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9145 0.000 1.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.4761 0.4277 0.000 0.628 0.000 0.372
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.4040 0.6587 0.000 0.752 0.248 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9842 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9715 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0188 0.9143 0.000 0.996 0.000 0.004
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.0000 0.9544 0.000 0.000 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0336 0.9139 0.000 0.992 0.000 0.008
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9715 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.6006 0.41220 0.000 0.300 0.000 0.556 0.144
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.6433 -0.24995 0.188 0.472 0.000 0.000 0.340
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0771 0.66379 0.000 0.976 0.000 0.004 0.020
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.1106 0.66695 0.000 0.964 0.000 0.024 0.012
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0162 0.83598 0.000 0.000 0.000 0.996 0.004
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.1830 0.66347 0.000 0.932 0.000 0.040 0.028
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.5847 0.00364 0.264 0.592 0.000 0.000 0.144
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.4380 0.24763 0.376 0.008 0.000 0.000 0.616
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.92844 0.000 0.000 1.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.1270 0.65898 0.000 0.948 0.000 0.000 0.052
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.1704 0.83080 0.928 0.004 0.000 0.000 0.068
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.5398 0.54825 0.716 0.032 0.000 0.144 0.108
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.6232 -0.02236 0.152 0.492 0.000 0.000 0.356
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.1341 0.65907 0.000 0.944 0.000 0.000 0.056
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.3300 0.74485 0.000 0.000 0.792 0.204 0.004
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#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.3305 0.68953 0.776 0.000 0.000 0.000 0.224
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.2471 0.78221 0.864 0.000 0.000 0.000 0.136
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0609 0.83083 0.980 0.000 0.000 0.000 0.020
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.3010 0.60893 0.000 0.824 0.000 0.172 0.004
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.2377 0.78639 0.872 0.000 0.000 0.000 0.128
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.1965 0.80755 0.904 0.000 0.000 0.000 0.096
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.6188 0.26998 0.000 0.512 0.064 0.032 0.392
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.1908 0.65314 0.000 0.908 0.000 0.000 0.092
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.1608 0.65596 0.000 0.928 0.000 0.000 0.072
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.4825 0.29450 0.000 0.568 0.000 0.408 0.024
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.7821 0.26544 0.000 0.476 0.160 0.144 0.220
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.3849 0.62421 0.000 0.232 0.000 0.752 0.016
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.5766 0.22865 0.000 0.392 0.000 0.516 0.092
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0963 0.66207 0.000 0.964 0.000 0.000 0.036
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.1197 0.65358 0.000 0.952 0.000 0.000 0.048
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.3246 0.59485 0.000 0.808 0.000 0.184 0.008
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.4538 0.18834 0.000 0.540 0.452 0.000 0.008
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0510 0.83282 0.984 0.000 0.000 0.000 0.016
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.3826 0.72437 0.004 0.008 0.000 0.752 0.236
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0404 0.83129 0.988 0.000 0.000 0.000 0.012
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.92844 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.1410 0.65983 0.000 0.940 0.000 0.000 0.060
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0162 0.83598 0.000 0.000 0.000 0.996 0.004
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.3280 0.76338 0.000 0.012 0.000 0.812 0.176
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1211 0.66608 0.000 0.960 0.000 0.016 0.024
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.92844 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.6539 0.43718 0.000 0.552 0.000 0.180 0.112 0.156
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.5265 0.51636 0.176 0.148 0.000 0.000 0.656 0.020
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0547 0.69908 0.000 0.980 0.000 0.000 0.000 0.020
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0935 0.69650 0.000 0.964 0.000 0.004 0.000 0.032
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.78266 0.000 0.000 0.000 1.000 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.1391 0.69707 0.000 0.944 0.000 0.016 0.000 0.040
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.7393 -0.31177 0.300 0.360 0.000 0.000 0.136 0.204
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.4472 0.39740 0.096 0.036 0.000 0.000 0.756 0.112
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.92677 0.000 0.000 1.000 0.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.1204 0.67971 0.000 0.944 0.000 0.000 0.000 0.056
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.4199 0.02561 0.600 0.000 0.000 0.000 0.380 0.020
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.4294 0.53877 0.780 0.004 0.000 0.072 0.104 0.040
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 6 0.5814 0.57208 0.152 0.168 0.000 0.000 0.056 0.624
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.2706 0.63535 0.000 0.860 0.000 0.000 0.036 0.104
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.4057 0.30527 0.000 0.000 0.388 0.600 0.012 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.6993 -0.08026 0.000 0.340 0.000 0.388 0.080 0.192
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.3454 0.57671 0.000 0.208 0.000 0.768 0.000 0.024
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 5 0.3620 0.59067 0.352 0.000 0.000 0.000 0.648 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.3956 0.41221 0.000 0.712 0.000 0.000 0.036 0.252
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.5270 0.57675 0.248 0.020 0.000 0.000 0.632 0.100
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.1327 0.69989 0.000 0.936 0.000 0.000 0.000 0.064
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.92677 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 5 0.3695 0.57209 0.376 0.000 0.000 0.000 0.624 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.3668 0.27933 0.668 0.000 0.000 0.000 0.328 0.004
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.3464 0.47620 0.000 0.000 0.312 0.688 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.1116 0.70586 0.000 0.960 0.000 0.008 0.004 0.028
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.4879 0.39278 0.000 0.008 0.608 0.340 0.016 0.028
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.3464 0.35937 0.688 0.000 0.000 0.000 0.312 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.0363 0.78038 0.000 0.000 0.000 0.988 0.000 0.012
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.6942 0.31496 0.172 0.008 0.000 0.496 0.236 0.088
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.3531 0.31997 0.672 0.000 0.000 0.000 0.328 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 6 0.7779 0.44839 0.108 0.136 0.280 0.000 0.056 0.420
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 5 0.3862 0.39643 0.476 0.000 0.000 0.000 0.524 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.3183 0.61358 0.000 0.008 0.200 0.788 0.004 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.3076 0.49878 0.760 0.000 0.000 0.000 0.240 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.78266 0.000 0.000 0.000 1.000 0.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.2355 0.68805 0.000 0.876 0.000 0.112 0.004 0.008
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 6 0.5271 0.19123 0.060 0.020 0.000 0.000 0.372 0.548
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.2841 0.66159 0.000 0.824 0.000 0.164 0.000 0.012
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.78266 0.000 0.000 0.000 1.000 0.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.3860 0.08876 0.000 0.000 0.528 0.472 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.7969 0.18695 0.028 0.208 0.020 0.420 0.232 0.092
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.7718 0.27905 0.124 0.080 0.000 0.464 0.236 0.096
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.5240 0.41537 0.640 0.000 0.000 0.032 0.252 0.076
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.6044 0.23991 0.556 0.100 0.000 0.000 0.060 0.284
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.5616 0.20037 0.000 0.000 0.504 0.368 0.008 0.120
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.7202 0.33388 0.044 0.116 0.000 0.512 0.236 0.092
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 6 0.3668 0.53518 0.000 0.328 0.000 0.004 0.000 0.668
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.2883 0.54162 0.788 0.000 0.000 0.000 0.212 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 5 0.3854 0.42345 0.464 0.000 0.000 0.000 0.536 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 6 0.5022 0.59274 0.040 0.256 0.000 0.000 0.048 0.656
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0405 0.78208 0.000 0.008 0.000 0.988 0.004 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0692 0.77737 0.000 0.020 0.000 0.976 0.004 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0146 0.78306 0.000 0.004 0.000 0.996 0.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.1007 0.76356 0.000 0.000 0.044 0.956 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.3504 0.67426 0.000 0.820 0.000 0.052 0.016 0.112
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.2932 0.68136 0.000 0.000 0.000 0.820 0.016 0.164
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 6 0.4351 0.59283 0.000 0.276 0.000 0.044 0.004 0.676
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 5 0.3867 0.35526 0.488 0.000 0.000 0.000 0.512 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.2857 0.62407 0.856 0.000 0.000 0.000 0.072 0.072
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0260 0.78255 0.000 0.008 0.000 0.992 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.3782 0.61486 0.000 0.000 0.000 0.740 0.036 0.224
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.5899 0.50324 0.000 0.604 0.000 0.192 0.048 0.156
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 6 0.4632 0.59434 0.000 0.276 0.064 0.000 0.004 0.656
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 6 0.4633 0.60163 0.000 0.096 0.000 0.068 0.084 0.752
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.6314 -0.14355 0.000 0.468 0.000 0.168 0.032 0.332
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0146 0.78306 0.000 0.004 0.000 0.996 0.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.4002 0.39226 0.000 0.704 0.000 0.000 0.036 0.260
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.92677 0.000 0.000 1.000 0.000 0.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.3843 -0.13141 0.548 0.000 0.000 0.000 0.452 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.4991 0.42958 0.656 0.000 0.000 0.028 0.256 0.060
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.2362 0.69670 0.000 0.004 0.000 0.860 0.000 0.136
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 5 0.3774 0.53433 0.408 0.000 0.000 0.000 0.592 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0405 0.70069 0.000 0.988 0.000 0.004 0.000 0.008
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0909 0.66657 0.968 0.000 0.000 0.000 0.020 0.012
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.7750 0.06717 0.000 0.148 0.192 0.436 0.032 0.192
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.3854 -0.17980 0.536 0.000 0.000 0.000 0.464 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.5760 -0.06091 0.000 0.436 0.000 0.012 0.120 0.432
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.6205 0.43369 0.000 0.544 0.000 0.140 0.052 0.264
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 5 0.5104 0.52452 0.164 0.008 0.000 0.000 0.656 0.172
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.5889 0.46987 0.000 0.600 0.032 0.276 0.048 0.044
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.1267 0.65753 0.940 0.000 0.000 0.000 0.060 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 3 0.0146 0.92274 0.000 0.000 0.996 0.000 0.004 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.5693 0.48700 0.000 0.596 0.000 0.244 0.028 0.132
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.3239 0.66151 0.000 0.816 0.024 0.000 0.008 0.152
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.4783 0.61145 0.000 0.716 0.000 0.084 0.032 0.168
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.92677 0.000 0.000 1.000 0.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.6939 0.23947 0.496 0.012 0.000 0.136 0.264 0.092
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 6 0.3984 0.27419 0.000 0.336 0.000 0.000 0.016 0.648
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 6 0.4828 0.15753 0.000 0.368 0.000 0.000 0.064 0.568
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.5773 0.52513 0.000 0.620 0.000 0.108 0.060 0.212
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 5 0.5934 -0.21259 0.000 0.320 0.000 0.000 0.448 0.232
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.4891 0.58859 0.000 0.688 0.000 0.128 0.012 0.172
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.5112 0.23205 0.000 0.632 0.236 0.000 0.004 0.128
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.6127 0.21032 0.456 0.000 0.000 0.052 0.400 0.092
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.0363 0.78048 0.000 0.000 0.012 0.988 0.000 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 4 0.8289 0.06391 0.260 0.076 0.000 0.320 0.244 0.100
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.3617 0.54803 0.000 0.736 0.000 0.000 0.244 0.020
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.3012 0.54310 0.796 0.000 0.000 0.000 0.196 0.008
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.2848 0.66539 0.000 0.828 0.000 0.004 0.008 0.160
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 1 0.8211 -0.32734 0.340 0.252 0.108 0.000 0.064 0.236
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.2668 0.57329 0.828 0.000 0.000 0.000 0.168 0.004
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.3890 0.03597 0.596 0.000 0.000 0.000 0.400 0.004
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.6505 0.06638 0.000 0.332 0.000 0.468 0.060 0.140
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.5713 0.42932 0.000 0.576 0.000 0.296 0.084 0.044
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.4457 0.58111 0.000 0.704 0.000 0.012 0.056 0.228
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 6 0.3670 0.60412 0.000 0.240 0.000 0.000 0.024 0.736
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.1767 0.70740 0.000 0.932 0.012 0.036 0.000 0.020
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.0000 0.92677 0.000 0.000 1.000 0.000 0.000 0.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 5 0.3737 0.55519 0.392 0.000 0.000 0.000 0.608 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.2445 0.63450 0.872 0.000 0.000 0.000 0.108 0.020
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.0858 0.77357 0.000 0.028 0.000 0.968 0.004 0.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.3446 0.51250 0.000 0.000 0.692 0.000 0.000 0.308
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 5 0.3620 0.59067 0.352 0.000 0.000 0.000 0.648 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.1858 0.64816 0.904 0.000 0.000 0.000 0.092 0.004
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.1225 0.66135 0.952 0.000 0.000 0.000 0.036 0.012
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.1663 0.65998 0.000 0.912 0.000 0.000 0.000 0.088
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#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.92677 0.000 0.000 1.000 0.000 0.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 3 0.0000 0.92677 0.000 0.000 1.000 0.000 0.000 0.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.5934 0.14858 0.000 0.360 0.000 0.508 0.044 0.088
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.0405 0.78208 0.000 0.008 0.000 0.988 0.004 0.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0820 0.66929 0.972 0.000 0.000 0.000 0.016 0.012
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.1398 0.87419 0.000 0.000 0.940 0.000 0.008 0.052
#> D902E43A-F384-432A-B690-D20BFCC78443 4 0.8225 -0.03641 0.068 0.300 0.000 0.312 0.216 0.104
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.0405 0.78208 0.000 0.008 0.000 0.988 0.004 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.5585 0.54134 0.000 0.640 0.000 0.116 0.048 0.196
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.5425 0.33132 0.000 0.560 0.000 0.000 0.156 0.284
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.92677 0.000 0.000 1.000 0.000 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.1918 0.64987 0.904 0.000 0.000 0.000 0.088 0.008
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.7087 0.11279 0.424 0.000 0.000 0.236 0.248 0.092
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.3253 0.54216 0.788 0.000 0.000 0.000 0.192 0.020
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.5540 0.25961 0.012 0.640 0.004 0.032 0.064 0.248
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 6 0.5352 0.62088 0.112 0.148 0.000 0.000 0.060 0.680
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.2703 0.58336 0.824 0.000 0.000 0.000 0.172 0.004
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.2950 0.68862 0.000 0.000 0.000 0.828 0.024 0.148
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0935 0.66538 0.964 0.000 0.000 0.000 0.032 0.004
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.0291 0.78291 0.000 0.004 0.000 0.992 0.000 0.004
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.1320 0.66278 0.948 0.000 0.000 0.000 0.036 0.016
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0146 0.78306 0.000 0.004 0.000 0.996 0.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.4552 0.58603 0.004 0.000 0.000 0.700 0.092 0.204
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.7912 -0.13213 0.364 0.324 0.000 0.072 0.160 0.080
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.4917 0.23582 0.000 0.520 0.000 0.020 0.432 0.028
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.1225 0.66095 0.952 0.000 0.000 0.000 0.036 0.012
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.1327 0.69548 0.000 0.936 0.000 0.000 0.000 0.064
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.1285 0.66379 0.944 0.000 0.000 0.000 0.052 0.004
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0146 0.78306 0.000 0.004 0.000 0.996 0.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0363 0.91363 0.000 0.012 0.988 0.000 0.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 5 0.3695 0.57261 0.376 0.000 0.000 0.000 0.624 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.5223 0.41511 0.000 0.588 0.000 0.004 0.300 0.108
#> 647EE729-B34A-41F0-85AB-207F8C24420B 5 0.3499 0.60212 0.320 0.000 0.000 0.000 0.680 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.1261 0.70718 0.000 0.952 0.000 0.024 0.000 0.024
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 5 0.3868 0.32178 0.496 0.000 0.000 0.000 0.504 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.2407 0.68556 0.000 0.892 0.004 0.000 0.056 0.048
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.2362 0.68399 0.000 0.000 0.136 0.860 0.004 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.5985 -0.17275 0.016 0.352 0.000 0.000 0.480 0.152
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.1194 0.69757 0.000 0.956 0.000 0.008 0.004 0.032
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 5 0.3866 0.37078 0.484 0.000 0.000 0.000 0.516 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.7056 0.04043 0.300 0.008 0.000 0.140 0.452 0.100
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0146 0.78262 0.000 0.000 0.004 0.996 0.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.1285 0.66027 0.944 0.000 0.000 0.000 0.052 0.004
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.3235 0.67596 0.000 0.848 0.076 0.060 0.004 0.012
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.0603 0.77934 0.000 0.016 0.000 0.980 0.004 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.2212 0.61910 0.880 0.000 0.000 0.000 0.112 0.008
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0146 0.78306 0.000 0.004 0.000 0.996 0.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.92677 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.3601 0.34487 0.000 0.684 0.000 0.000 0.004 0.312
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.92677 0.000 0.000 1.000 0.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.1320 0.66182 0.948 0.000 0.000 0.000 0.016 0.036
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.3103 0.52009 0.784 0.000 0.000 0.000 0.208 0.008
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.4595 0.25683 0.000 0.352 0.000 0.608 0.028 0.012
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.3854 -0.21323 0.536 0.000 0.000 0.000 0.464 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.2968 0.60046 0.000 0.816 0.000 0.000 0.016 0.168
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.92677 0.000 0.000 1.000 0.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.3828 -0.12032 0.560 0.000 0.000 0.000 0.440 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.1588 0.75233 0.000 0.000 0.000 0.924 0.004 0.072
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.3515 0.32682 0.676 0.000 0.000 0.000 0.324 0.000
#> C543A527-3E25-4389-9722-E9325C733243 6 0.3890 0.42038 0.000 0.400 0.000 0.000 0.004 0.596
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0405 0.78230 0.000 0.004 0.000 0.988 0.000 0.008
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.6297 -0.00566 0.084 0.548 0.000 0.000 0.108 0.260
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.2020 0.63495 0.896 0.000 0.000 0.000 0.096 0.008
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.2869 0.60175 0.000 0.832 0.000 0.000 0.020 0.148
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.6006 0.16315 0.000 0.428 0.000 0.000 0.316 0.256
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0000 0.78266 0.000 0.000 0.000 1.000 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 5 0.3659 0.58253 0.364 0.000 0.000 0.000 0.636 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 5 0.3810 0.50229 0.428 0.000 0.000 0.000 0.572 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.2278 0.61323 0.868 0.000 0.000 0.000 0.128 0.004
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.1624 0.70645 0.000 0.936 0.000 0.044 0.008 0.012
#> B9535625-504A-4FCD-B341-2985AE72508A 5 0.3843 0.45536 0.452 0.000 0.000 0.000 0.548 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 5 0.3864 0.38499 0.480 0.000 0.000 0.000 0.520 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 6 0.3566 0.52221 0.000 0.236 0.000 0.000 0.020 0.744
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.2048 0.65983 0.000 0.880 0.000 0.000 0.000 0.120
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.1714 0.66410 0.000 0.908 0.000 0.000 0.000 0.092
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.3384 0.66719 0.000 0.820 0.000 0.132 0.016 0.032
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.5769 0.53413 0.000 0.640 0.092 0.024 0.032 0.212
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.3616 0.60406 0.000 0.184 0.000 0.780 0.024 0.012
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.4503 0.63412 0.000 0.756 0.000 0.124 0.052 0.068
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0632 0.69958 0.000 0.976 0.000 0.000 0.000 0.024
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.3269 0.52524 0.000 0.792 0.000 0.000 0.024 0.184
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.1268 0.70812 0.000 0.952 0.000 0.036 0.004 0.008
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.3996 0.05619 0.000 0.512 0.484 0.000 0.000 0.004
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.1957 0.63537 0.888 0.000 0.000 0.000 0.112 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.3841 0.58734 0.000 0.000 0.000 0.716 0.028 0.256
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.1644 0.65016 0.920 0.000 0.000 0.000 0.076 0.004
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.92677 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.1411 0.70116 0.000 0.936 0.000 0.000 0.004 0.060
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.78266 0.000 0.000 0.000 1.000 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.7983 0.23354 0.084 0.112 0.000 0.428 0.240 0.136
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0260 0.70052 0.000 0.992 0.000 0.000 0.000 0.008
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.92677 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17630 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 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 0.520 0.797 0.900 0.4640 0.506 0.506
#> 3 3 0.524 0.763 0.856 0.3124 0.836 0.687
#> 4 4 0.541 0.673 0.804 0.0919 0.973 0.929
#> 5 5 0.567 0.606 0.752 0.0515 0.972 0.921
#> 6 6 0.593 0.596 0.702 0.0527 0.924 0.806
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.7602 0.71864 0.220 0.780
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.7745 0.73345 0.772 0.228
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.4022 0.88908 0.080 0.920
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.2236 0.90809 0.036 0.964
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.91307 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0938 0.91275 0.012 0.988
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.9881 0.37026 0.564 0.436
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.84209 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.91307 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.5059 0.86558 0.112 0.888
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.9552 0.52129 0.624 0.376
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.8661 0.66904 0.712 0.288
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.8081 0.71392 0.752 0.248
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 1 0.9993 0.20684 0.516 0.484
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.91307 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.4939 0.86734 0.108 0.892
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.2043 0.90977 0.032 0.968
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.84209 1.000 0.000
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#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.84209 1.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.9427 0.41590 0.360 0.640
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0938 0.91275 0.012 0.988
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.9881 0.37003 0.564 0.436
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.3733 0.89400 0.072 0.928
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.84209 1.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 2 0.0000 0.91307 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.84209 1.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.5737 0.83835 0.136 0.864
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.6973 0.77183 0.188 0.812
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 2 0.0000 0.91307 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.0000 0.91307 0.000 1.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.3114 0.90113 0.056 0.944
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.0000 0.91307 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 2 0.0000 0.91307 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.0000 0.91307 0.000 1.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 2 0.0000 0.91307 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.9815 0.41431 0.580 0.420
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 2 0.0000 0.91307 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.7219 0.74908 0.200 0.800
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.1633 0.91119 0.024 0.976
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0000 0.91307 0.000 1.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.84209 1.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.9393 0.42725 0.356 0.644
#> D902E43A-F384-432A-B690-D20BFCC78443 1 0.9710 0.46857 0.600 0.400
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0000 0.91307 0.000 1.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.4161 0.88678 0.084 0.916
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.9358 0.43887 0.352 0.648
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.0000 0.91307 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0938 0.84132 0.988 0.012
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.9552 0.52107 0.624 0.376
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.8909 0.63877 0.692 0.308
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.4690 0.87157 0.100 0.900
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.8207 0.70570 0.744 0.256
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.84209 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 1 0.9552 0.51884 0.624 0.376
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0376 0.84201 0.996 0.004
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0938 0.91277 0.012 0.988
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.2043 0.83781 0.968 0.032
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.91307 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.9552 0.51884 0.624 0.376
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.8608 0.67195 0.716 0.284
#> BF513557-1518-4843-9F62-837B557D4CAB 1 0.9954 0.29131 0.540 0.460
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.84209 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.4022 0.88914 0.080 0.920
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.84209 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.91307 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0376 0.91273 0.004 0.996
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.84209 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.9909 0.10571 0.444 0.556
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.84209 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.3274 0.89968 0.060 0.940
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.84209 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0376 0.91273 0.004 0.996
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.91307 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.6887 0.76810 0.816 0.184
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.4022 0.89045 0.080 0.920
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.84209 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.84209 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.91307 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.84209 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0672 0.91292 0.008 0.992
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.91307 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.8081 0.71408 0.752 0.248
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.91307 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.91307 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.6247 0.81575 0.156 0.844
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.91307 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.3431 0.82871 0.936 0.064
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.84209 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.3431 0.89816 0.064 0.936
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.84209 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.8955 0.54134 0.312 0.688
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.91307 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.9000 0.62958 0.684 0.316
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.1184 0.91210 0.016 0.984
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.84209 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.7299 0.74928 0.204 0.796
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.91307 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.9963 0.27941 0.536 0.464
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.5519 0.80024 0.872 0.128
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.9427 0.41590 0.360 0.640
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.8713 0.66182 0.708 0.292
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.91307 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.84209 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.84209 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.84209 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.3431 0.89775 0.064 0.936
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.84209 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.84209 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.2948 0.90277 0.052 0.948
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.4562 0.87895 0.096 0.904
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.4939 0.86899 0.108 0.892
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.3733 0.89428 0.072 0.928
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.5519 0.84724 0.128 0.872
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.1633 0.91119 0.024 0.976
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.8081 0.66893 0.248 0.752
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.4022 0.88908 0.080 0.920
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.6048 0.82348 0.148 0.852
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.3114 0.90113 0.056 0.944
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0376 0.91273 0.004 0.996
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.8386 0.69226 0.732 0.268
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 1 0.9552 0.51884 0.624 0.376
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.84209 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.91307 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.5842 0.83428 0.140 0.860
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.91307 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 1 0.9710 0.46857 0.600 0.400
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.3733 0.89402 0.072 0.928
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.91307 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.6267 0.2776 0.000 0.548 0.452
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 3 0.5921 0.6287 0.212 0.032 0.756
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.4887 0.7808 0.000 0.772 0.228
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.3192 0.8566 0.000 0.888 0.112
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.8648 0.000 1.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.2959 0.8601 0.000 0.900 0.100
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 3 0.4994 0.7486 0.024 0.160 0.816
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0592 0.9008 0.988 0.000 0.012
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0424 0.8619 0.000 0.992 0.008
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.5138 0.7552 0.000 0.748 0.252
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 3 0.5416 0.7537 0.080 0.100 0.820
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 3 0.6062 0.6911 0.160 0.064 0.776
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 3 0.5746 0.6699 0.180 0.040 0.780
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 3 0.5318 0.7038 0.016 0.204 0.780
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.1643 0.8694 0.000 0.956 0.044
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.5098 0.7564 0.000 0.752 0.248
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.3267 0.8575 0.000 0.884 0.116
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0424 0.9002 0.992 0.000 0.008
#> 022275BA-F672-49C5-887B-CCF24A20848F 3 0.6168 0.2867 0.000 0.412 0.588
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.6489 0.2424 0.540 0.004 0.456
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.4750 0.7917 0.000 0.784 0.216
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0424 0.8619 0.000 0.992 0.008
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0424 0.9002 0.992 0.000 0.008
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.1643 0.8978 0.956 0.000 0.044
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0237 0.8636 0.000 0.996 0.004
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.4842 0.7841 0.000 0.776 0.224
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.1753 0.8700 0.000 0.952 0.048
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0424 0.9026 0.992 0.000 0.008
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.4654 0.7938 0.000 0.792 0.208
#> A3153235-3128-40AC-9371-AFA1F61E3E59 3 0.4099 0.7427 0.008 0.140 0.852
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0424 0.9002 0.992 0.000 0.008
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.5657 0.7385 0.104 0.088 0.808
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.2356 0.8848 0.928 0.000 0.072
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0237 0.8636 0.000 0.996 0.004
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0237 0.9014 0.996 0.000 0.004
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.8648 0.000 1.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.4887 0.7768 0.000 0.772 0.228
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 3 0.6355 0.5262 0.280 0.024 0.696
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.4452 0.8121 0.000 0.808 0.192
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.8648 0.000 1.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0237 0.8636 0.000 0.996 0.004
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 3 0.3682 0.7516 0.008 0.116 0.876
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 3 0.3532 0.7500 0.008 0.108 0.884
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.1964 0.8938 0.944 0.000 0.056
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 3 0.6004 0.7058 0.156 0.064 0.780
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.4121 0.8301 0.000 0.832 0.168
#> EE4F9349-F750-4471-BFE7-7230784569E1 3 0.3896 0.7489 0.008 0.128 0.864
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.3340 0.8548 0.000 0.880 0.120
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0592 0.9033 0.988 0.000 0.012
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0424 0.9002 0.992 0.000 0.008
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 3 0.5657 0.7385 0.104 0.088 0.808
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.2066 0.8669 0.000 0.940 0.060
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.8648 0.000 1.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.2878 0.8627 0.000 0.904 0.096
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0237 0.8636 0.000 0.996 0.004
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.4842 0.7857 0.000 0.776 0.224
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 3 0.5327 0.6018 0.000 0.272 0.728
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.3340 0.8548 0.000 0.880 0.120
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 3 0.7276 0.2686 0.404 0.032 0.564
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 3 0.5982 0.6206 0.228 0.028 0.744
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.8648 0.000 1.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 3 0.4489 0.7563 0.036 0.108 0.856
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.4796 0.7897 0.000 0.780 0.220
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.3619 0.8476 0.000 0.864 0.136
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.6235 0.3200 0.000 0.564 0.436
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.2959 0.8607 0.000 0.900 0.100
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.2066 0.8669 0.000 0.940 0.060
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 3 0.6225 0.2198 0.000 0.432 0.568
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.5098 0.7349 0.000 0.752 0.248
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#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.4796 0.7897 0.000 0.780 0.220
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 3 0.6540 0.3023 0.008 0.408 0.584
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.0424 0.8619 0.000 0.992 0.008
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.5016 0.7351 0.760 0.000 0.240
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 3 0.3886 0.7483 0.024 0.096 0.880
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 3 0.4887 0.7175 0.096 0.060 0.844
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.5016 0.7575 0.000 0.760 0.240
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 3 0.5631 0.6844 0.164 0.044 0.792
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0592 0.9033 0.988 0.000 0.012
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 3 0.4489 0.7563 0.036 0.108 0.856
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.2066 0.8933 0.940 0.000 0.060
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.2878 0.8627 0.000 0.904 0.096
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.6018 0.6008 0.684 0.008 0.308
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0237 0.8636 0.000 0.996 0.004
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 3 0.4489 0.7563 0.036 0.108 0.856
#> 1FB9316D-4674-4D97-A33B-649F53D09487 3 0.5408 0.6912 0.136 0.052 0.812
#> BF513557-1518-4843-9F62-837B557D4CAB 3 0.5581 0.7341 0.036 0.176 0.788
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.1643 0.8971 0.956 0.000 0.044
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.4887 0.7805 0.000 0.772 0.228
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0592 0.9029 0.988 0.000 0.012
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.8648 0.000 1.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.1964 0.8692 0.000 0.944 0.056
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0424 0.9002 0.992 0.000 0.008
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 3 0.6507 0.5971 0.028 0.284 0.688
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0424 0.9002 0.992 0.000 0.008
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.4399 0.8134 0.000 0.812 0.188
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0424 0.9002 0.992 0.000 0.008
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.2448 0.8671 0.000 0.924 0.076
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0237 0.8636 0.000 0.996 0.004
#> A541B123-A51C-4EF0-839E-8A9513311C98 3 0.7128 0.4322 0.344 0.036 0.620
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.4887 0.7822 0.000 0.772 0.228
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0424 0.9002 0.992 0.000 0.008
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.2066 0.8923 0.940 0.000 0.060
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.8648 0.000 1.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0592 0.9031 0.988 0.000 0.012
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.2066 0.8683 0.000 0.940 0.060
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.2066 0.8669 0.000 0.940 0.060
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 3 0.7770 0.5418 0.292 0.080 0.628
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.2066 0.8669 0.000 0.940 0.060
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0424 0.8619 0.000 0.992 0.008
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.5560 0.6796 0.000 0.700 0.300
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0424 0.8619 0.000 0.992 0.008
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.6460 0.3448 0.556 0.004 0.440
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0237 0.9006 0.996 0.000 0.004
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.4654 0.7997 0.000 0.792 0.208
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.1643 0.8978 0.956 0.000 0.044
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 3 0.6267 0.1382 0.000 0.452 0.548
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0424 0.8619 0.000 0.992 0.008
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 3 0.5093 0.7362 0.088 0.076 0.836
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.2537 0.8646 0.000 0.920 0.080
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0424 0.9002 0.992 0.000 0.008
#> C543A527-3E25-4389-9722-E9325C733243 2 0.5988 0.5296 0.000 0.632 0.368
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.1860 0.8681 0.000 0.948 0.052
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 3 0.4755 0.7231 0.008 0.184 0.808
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 3 0.6379 0.2859 0.368 0.008 0.624
#> 896B5096-D888-4DC3-9C70-152BDE083E26 3 0.6079 0.3565 0.000 0.388 0.612
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 3 0.5831 0.7252 0.128 0.076 0.796
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.8648 0.000 1.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0424 0.9002 0.992 0.000 0.008
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0424 0.9002 0.992 0.000 0.008
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0892 0.9032 0.980 0.000 0.020
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.4654 0.8001 0.000 0.792 0.208
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0424 0.9002 0.992 0.000 0.008
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.2066 0.8911 0.940 0.000 0.060
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.4178 0.8283 0.000 0.828 0.172
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.4931 0.7763 0.000 0.768 0.232
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.5098 0.7594 0.000 0.752 0.248
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.4605 0.8021 0.000 0.796 0.204
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.5465 0.6922 0.000 0.712 0.288
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.2959 0.8607 0.000 0.900 0.100
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.6308 0.1128 0.000 0.508 0.492
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.4887 0.7808 0.000 0.772 0.228
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.5497 0.6809 0.000 0.708 0.292
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.4178 0.8252 0.000 0.828 0.172
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.2165 0.8686 0.000 0.936 0.064
#> A280A4AF-0687-40CA-8804-C6173B33E732 3 0.5558 0.6921 0.152 0.048 0.800
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 3 0.4489 0.7563 0.036 0.108 0.856
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0592 0.9033 0.988 0.000 0.012
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0424 0.8619 0.000 0.992 0.008
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.5650 0.6514 0.000 0.688 0.312
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.1163 0.8684 0.000 0.972 0.028
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 3 0.3532 0.7500 0.008 0.108 0.884
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.4702 0.7950 0.000 0.788 0.212
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0424 0.8619 0.000 0.992 0.008
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.7746 0.19520 0.000 0.288 0.272 0.440
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.6697 0.32112 0.140 0.640 0.212 0.008
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 4 0.5522 0.70771 0.000 0.288 0.044 0.668
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.3946 0.79971 0.000 0.168 0.020 0.812
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0336 0.81481 0.000 0.000 0.008 0.992
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 4 0.3708 0.80564 0.000 0.148 0.020 0.832
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.4142 0.39431 0.012 0.844 0.080 0.064
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.1004 0.88397 0.972 0.004 0.024 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 4 0.0927 0.81200 0.000 0.008 0.016 0.976
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 4 0.5619 0.67443 0.000 0.320 0.040 0.640
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.5554 0.37358 0.068 0.772 0.116 0.044
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.7726 0.16817 0.116 0.544 0.300 0.040
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.5937 0.37133 0.112 0.704 0.180 0.004
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.5321 0.32765 0.008 0.764 0.128 0.100
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.2480 0.81990 0.000 0.088 0.008 0.904
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.5925 0.68432 0.000 0.284 0.068 0.648
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.4095 0.80046 0.000 0.172 0.024 0.804
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0469 0.88464 0.988 0.000 0.012 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.6004 0.32161 0.000 0.648 0.076 0.276
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.7356 0.11972 0.468 0.368 0.164 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 4 0.5497 0.71247 0.000 0.284 0.044 0.672
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 4 0.0592 0.80852 0.000 0.000 0.016 0.984
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0469 0.88464 0.988 0.000 0.012 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.1820 0.88015 0.944 0.020 0.036 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.0469 0.80946 0.000 0.000 0.012 0.988
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 4 0.5742 0.70525 0.000 0.276 0.060 0.664
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.2402 0.81944 0.000 0.076 0.012 0.912
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0469 0.88725 0.988 0.000 0.012 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.4983 0.72767 0.000 0.272 0.024 0.704
#> A3153235-3128-40AC-9371-AFA1F61E3E59 3 0.5802 0.79137 0.012 0.264 0.680 0.044
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0469 0.88464 0.988 0.000 0.012 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.5359 0.40112 0.052 0.768 0.152 0.028
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.2670 0.86516 0.904 0.024 0.072 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.0336 0.81063 0.000 0.000 0.008 0.992
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0469 0.88694 0.988 0.000 0.012 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0336 0.81481 0.000 0.000 0.008 0.992
#> 745233F1-DF41-4DDA-9146-1666DD59355E 4 0.5799 0.70051 0.000 0.264 0.068 0.668
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.7171 0.24528 0.212 0.556 0.232 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.5619 0.72765 0.000 0.248 0.064 0.688
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0336 0.81481 0.000 0.000 0.008 0.992
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 4 0.0469 0.80946 0.000 0.000 0.012 0.988
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 3 0.5321 0.81780 0.012 0.272 0.696 0.020
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 3 0.5188 0.82602 0.012 0.268 0.704 0.016
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.2048 0.87613 0.928 0.008 0.064 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.6256 0.38555 0.096 0.704 0.176 0.024
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.4610 0.76682 0.000 0.236 0.020 0.744
#> EE4F9349-F750-4471-BFE7-7230784569E1 3 0.5606 0.80822 0.012 0.272 0.684 0.032
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.3681 0.80141 0.000 0.176 0.008 0.816
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0469 0.88813 0.988 0.000 0.012 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0469 0.88464 0.988 0.000 0.012 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.5359 0.40112 0.052 0.768 0.152 0.028
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.2737 0.81727 0.000 0.104 0.008 0.888
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0336 0.81481 0.000 0.000 0.008 0.992
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.3862 0.80655 0.000 0.152 0.024 0.824
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.0336 0.81063 0.000 0.000 0.008 0.992
#> DD028798-C4CB-43A8-81D7-711E015E23B5 4 0.5877 0.69846 0.000 0.276 0.068 0.656
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.6691 0.28665 0.000 0.612 0.236 0.152
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.3681 0.80141 0.000 0.176 0.008 0.816
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 2 0.7845 0.05585 0.344 0.428 0.224 0.004
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 2 0.6240 0.34502 0.156 0.668 0.176 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0336 0.81481 0.000 0.000 0.008 0.992
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.4594 0.28318 0.000 0.712 0.280 0.008
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 4 0.5851 0.70272 0.000 0.272 0.068 0.660
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 4 0.3972 0.78835 0.000 0.204 0.008 0.788
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.6438 -0.18583 0.000 0.496 0.068 0.436
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.3672 0.80457 0.000 0.164 0.012 0.824
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.2737 0.81727 0.000 0.104 0.008 0.888
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.5929 0.32145 0.000 0.640 0.064 0.296
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 4 0.5090 0.64677 0.000 0.324 0.016 0.660
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.2329 0.87323 0.916 0.012 0.072 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.6008 0.26177 0.496 0.040 0.464 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.2737 0.81752 0.000 0.104 0.008 0.888
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.1004 0.88719 0.972 0.004 0.024 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 4 0.3554 0.81061 0.000 0.136 0.020 0.844
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0817 0.88640 0.976 0.000 0.024 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.2611 0.81980 0.000 0.096 0.008 0.896
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0707 0.88742 0.980 0.000 0.020 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.5941 0.32814 0.000 0.652 0.072 0.276
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.6259 0.30937 0.000 0.616 0.084 0.300
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 2 0.7551 0.16585 0.288 0.484 0.228 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.0657 0.81047 0.000 0.004 0.012 0.984
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#> B11FF528-846E-4E40-9E32-E5820ECB5504 4 0.0592 0.80852 0.000 0.000 0.016 0.984
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 2 0.4199 0.39887 0.008 0.836 0.096 0.060
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 4 0.0592 0.80852 0.000 0.000 0.016 0.984
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 4 0.5784 0.45876 0.000 0.412 0.032 0.556
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.3428 0.81004 0.000 0.144 0.012 0.844
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.0336 0.81481 0.000 0.000 0.008 0.992
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0921 0.88619 0.972 0.000 0.028 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.5890 0.33158 0.000 0.660 0.072 0.268
#> D902E43A-F384-432A-B690-D20BFCC78443 3 0.5216 0.82482 0.012 0.272 0.700 0.016
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.0336 0.81481 0.000 0.000 0.008 0.992
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 4 0.5851 0.70272 0.000 0.272 0.068 0.660
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.6092 0.33176 0.004 0.652 0.072 0.272
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 4 0.0592 0.80852 0.000 0.000 0.016 0.984
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.5168 0.68478 0.712 0.040 0.248 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 3 0.5102 0.83114 0.016 0.256 0.716 0.012
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 3 0.6071 0.78853 0.076 0.240 0.676 0.008
#> 37586AAC-159B-41F9-9078-C2F7888753AC 4 0.5186 0.65720 0.000 0.344 0.016 0.640
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.5834 0.37976 0.092 0.716 0.184 0.008
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0469 0.88813 0.988 0.000 0.012 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.4594 0.28318 0.000 0.712 0.280 0.008
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.2596 0.87113 0.908 0.024 0.068 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.3862 0.80655 0.000 0.152 0.024 0.824
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.6715 0.54154 0.604 0.144 0.252 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0336 0.81063 0.000 0.000 0.008 0.992
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.4594 0.28318 0.000 0.712 0.280 0.008
#> 1FB9316D-4674-4D97-A33B-649F53D09487 3 0.6634 0.73386 0.124 0.212 0.652 0.012
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.5759 0.33288 0.028 0.748 0.144 0.080
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.1824 0.87980 0.936 0.004 0.060 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 4 0.5624 0.70822 0.000 0.280 0.052 0.668
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0817 0.88790 0.976 0.000 0.024 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0336 0.81481 0.000 0.000 0.008 0.992
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.2976 0.81726 0.000 0.120 0.008 0.872
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0469 0.88464 0.988 0.000 0.012 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.6747 0.30430 0.020 0.660 0.136 0.184
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0469 0.88464 0.988 0.000 0.012 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 4 0.5434 0.73213 0.000 0.252 0.052 0.696
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0592 0.88449 0.984 0.000 0.016 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 4 0.3428 0.81089 0.000 0.144 0.012 0.844
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0336 0.81063 0.000 0.000 0.008 0.992
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.7820 0.03798 0.276 0.412 0.312 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 4 0.5389 0.69852 0.000 0.308 0.032 0.660
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0469 0.88464 0.988 0.000 0.012 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.2124 0.87424 0.924 0.008 0.068 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0188 0.81412 0.000 0.000 0.004 0.996
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0779 0.88853 0.980 0.004 0.016 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 4 0.2799 0.81784 0.000 0.108 0.008 0.884
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.2737 0.81727 0.000 0.104 0.008 0.888
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 3 0.8427 0.28530 0.248 0.332 0.396 0.024
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.2611 0.81827 0.000 0.096 0.008 0.896
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 4 0.0592 0.80852 0.000 0.000 0.016 0.984
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 4 0.5387 0.57889 0.000 0.400 0.016 0.584
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 4 0.0592 0.80852 0.000 0.000 0.016 0.984
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.7537 0.28469 0.492 0.180 0.324 0.004
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0469 0.88561 0.988 0.000 0.012 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.5417 0.71597 0.000 0.284 0.040 0.676
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.1820 0.88015 0.944 0.020 0.036 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.6116 0.26581 0.000 0.612 0.068 0.320
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 4 0.0592 0.80852 0.000 0.000 0.016 0.984
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.4936 0.39013 0.028 0.784 0.160 0.028
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.3249 0.81116 0.000 0.140 0.008 0.852
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0469 0.88464 0.988 0.000 0.012 0.000
#> C543A527-3E25-4389-9722-E9325C733243 4 0.5693 0.38861 0.000 0.472 0.024 0.504
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.2610 0.81896 0.000 0.088 0.012 0.900
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.3966 0.39029 0.000 0.840 0.072 0.088
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 3 0.8073 0.19402 0.308 0.268 0.416 0.008
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.5732 0.34188 0.000 0.672 0.064 0.264
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.6164 0.32245 0.080 0.680 0.228 0.012
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0336 0.81481 0.000 0.000 0.008 0.992
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0592 0.88449 0.984 0.000 0.016 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0469 0.88464 0.988 0.000 0.012 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0804 0.88775 0.980 0.008 0.012 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 4 0.5444 0.72710 0.000 0.264 0.048 0.688
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0469 0.88464 0.988 0.000 0.012 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.2660 0.86532 0.908 0.036 0.056 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 4 0.4452 0.75582 0.000 0.260 0.008 0.732
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 4 0.5785 0.70233 0.000 0.272 0.064 0.664
#> 33060001-05C9-4751-AA58-F194207ACC08 4 0.5678 0.67711 0.000 0.316 0.044 0.640
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 4 0.5508 0.72928 0.000 0.252 0.056 0.692
#> 635170D3-D669-4165-B69C-9C9A246BFF11 4 0.6150 0.58552 0.000 0.360 0.060 0.580
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.3672 0.80457 0.000 0.164 0.012 0.824
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.7855 0.05680 0.000 0.300 0.300 0.400
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 4 0.5599 0.70368 0.000 0.288 0.048 0.664
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 4 0.5465 0.57369 0.000 0.392 0.020 0.588
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 4 0.5102 0.75647 0.000 0.220 0.048 0.732
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 4 0.2888 0.81685 0.000 0.124 0.004 0.872
#> A280A4AF-0687-40CA-8804-C6173B33E732 2 0.6024 0.36184 0.084 0.700 0.204 0.012
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.4594 0.28318 0.000 0.712 0.280 0.008
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0469 0.88813 0.988 0.000 0.012 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 4 0.0592 0.80852 0.000 0.000 0.016 0.984
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 4 0.6158 0.54293 0.000 0.384 0.056 0.560
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.1767 0.81980 0.000 0.044 0.012 0.944
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 3 0.5188 0.82602 0.012 0.268 0.704 0.016
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 4 0.5392 0.71968 0.000 0.280 0.040 0.680
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 4 0.0592 0.80852 0.000 0.000 0.016 0.984
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.7063 0.087533 0.000 0.256 0.012 0.384 0.348
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.6011 0.201854 0.044 0.588 0.316 0.000 0.052
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 4 0.5379 0.638935 0.000 0.340 0.008 0.600 0.052
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.4001 0.758072 0.000 0.208 0.004 0.764 0.024
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0290 0.782828 0.000 0.000 0.000 0.992 0.008
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 4 0.3759 0.767425 0.000 0.180 0.004 0.792 0.024
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.3396 0.313606 0.000 0.844 0.112 0.036 0.008
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.1331 0.836595 0.952 0.000 0.040 0.000 0.008
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 4 0.1306 0.776832 0.000 0.008 0.016 0.960 0.016
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 4 0.5406 0.601399 0.000 0.368 0.008 0.576 0.048
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.4275 0.298037 0.020 0.792 0.152 0.008 0.028
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.7230 0.142965 0.032 0.508 0.244 0.008 0.208
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.4866 0.205500 0.036 0.620 0.344 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.4460 0.326571 0.000 0.792 0.048 0.044 0.116
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.2583 0.785901 0.000 0.132 0.004 0.864 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.5762 0.621568 0.000 0.308 0.004 0.588 0.100
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.4074 0.765277 0.000 0.188 0.004 0.772 0.036
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0865 0.842755 0.972 0.000 0.024 0.000 0.004
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.7191 0.258755 0.000 0.556 0.116 0.208 0.120
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 3 0.7040 0.150353 0.304 0.320 0.368 0.000 0.008
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 4 0.5410 0.643954 0.000 0.332 0.008 0.604 0.056
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0771 0.841754 0.976 0.000 0.020 0.000 0.004
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.3291 0.818859 0.856 0.028 0.100 0.000 0.016
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.0579 0.776220 0.000 0.000 0.008 0.984 0.008
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 4 0.5449 0.641354 0.000 0.328 0.004 0.600 0.068
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.2445 0.786626 0.000 0.108 0.004 0.884 0.004
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.1106 0.848343 0.964 0.000 0.024 0.000 0.012
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.5464 0.666113 0.000 0.288 0.024 0.640 0.048
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.3210 0.706981 0.000 0.092 0.008 0.040 0.860
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0865 0.842755 0.972 0.000 0.024 0.000 0.004
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.4917 0.266457 0.008 0.700 0.252 0.016 0.024
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.4318 0.780327 0.792 0.032 0.136 0.000 0.040
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.0451 0.777491 0.000 0.000 0.008 0.988 0.004
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0955 0.846357 0.968 0.000 0.028 0.000 0.004
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0290 0.782828 0.000 0.000 0.000 0.992 0.008
#> 745233F1-DF41-4DDA-9146-1666DD59355E 4 0.5602 0.641822 0.000 0.292 0.004 0.612 0.092
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.6957 0.112141 0.088 0.492 0.348 0.000 0.072
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.5290 0.664768 0.000 0.300 0.000 0.624 0.076
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0290 0.782828 0.000 0.000 0.000 0.992 0.008
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 4 0.0579 0.776220 0.000 0.000 0.008 0.984 0.008
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.2689 0.738513 0.000 0.084 0.012 0.016 0.888
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.2466 0.740825 0.000 0.076 0.012 0.012 0.900
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.2193 0.833745 0.912 0.000 0.028 0.000 0.060
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.4926 0.233894 0.032 0.656 0.304 0.004 0.004
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.4581 0.721314 0.000 0.268 0.004 0.696 0.032
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.2965 0.727260 0.000 0.084 0.012 0.028 0.876
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.3707 0.759011 0.000 0.220 0.004 0.768 0.008
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.1059 0.848487 0.968 0.008 0.020 0.000 0.004
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0771 0.841754 0.976 0.000 0.020 0.000 0.004
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.4917 0.266457 0.008 0.700 0.252 0.016 0.024
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.2864 0.782050 0.000 0.136 0.000 0.852 0.012
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0290 0.782828 0.000 0.000 0.000 0.992 0.008
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.3922 0.766858 0.000 0.180 0.000 0.780 0.040
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.0451 0.777491 0.000 0.000 0.008 0.988 0.004
#> DD028798-C4CB-43A8-81D7-711E015E23B5 4 0.5490 0.630443 0.000 0.324 0.000 0.592 0.084
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 3 0.8101 0.240379 0.000 0.244 0.392 0.112 0.252
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.3707 0.759011 0.000 0.220 0.004 0.768 0.008
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 2 0.8240 -0.089752 0.208 0.372 0.280 0.000 0.140
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 2 0.5825 0.162347 0.068 0.568 0.348 0.000 0.016
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0290 0.782828 0.000 0.000 0.000 0.992 0.008
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#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.5753 0.687752 0.684 0.036 0.164 0.000 0.116
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 3 0.7631 0.339165 0.000 0.288 0.424 0.060 0.228
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 2 0.8418 0.088889 0.008 0.408 0.228 0.192 0.164
#> 7C225672-8372-4202-A749-3D8E9A0747CC 4 0.1216 0.787323 0.000 0.020 0.000 0.960 0.020
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.3567 0.807523 0.836 0.004 0.068 0.000 0.092
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0771 0.841754 0.976 0.000 0.020 0.000 0.004
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 4 0.4380 0.728233 0.000 0.256 0.008 0.716 0.020
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 2 0.7562 0.056742 0.096 0.412 0.368 0.000 0.124
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 4 0.0290 0.782828 0.000 0.000 0.000 0.992 0.008
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.8416 -0.067294 0.304 0.152 0.296 0.000 0.248
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.5106 0.736115 0.736 0.024 0.136 0.000 0.104
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.1444 0.845831 0.948 0.000 0.040 0.000 0.012
#> 7779D220-647F-4D6C-890B-022208B51F57 4 0.5015 0.686074 0.000 0.296 0.004 0.652 0.048
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 4 0.1074 0.774088 0.000 0.004 0.016 0.968 0.012
#> 56D3154E-E779-4C27-8305-FEE7310B6762 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 4 0.5595 0.597102 0.000 0.356 0.004 0.568 0.072
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.4806 0.762902 0.760 0.024 0.132 0.000 0.084
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0771 0.841754 0.976 0.000 0.020 0.000 0.004
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 2 0.8135 -0.037837 0.128 0.368 0.316 0.000 0.188
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.4980 0.315651 0.000 0.748 0.108 0.024 0.120
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.1364 0.845989 0.952 0.000 0.036 0.000 0.012
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0865 0.841490 0.972 0.000 0.024 0.000 0.004
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 5 0.3801 0.714837 0.000 0.112 0.028 0.032 0.828
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0865 0.841490 0.972 0.000 0.024 0.000 0.004
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.6560 0.294954 0.000 0.616 0.096 0.204 0.084
#> FC2F983B-2530-4886-B759-E2C571E2D068 4 0.3351 0.779657 0.000 0.148 0.004 0.828 0.020
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 2 0.2511 0.311509 0.000 0.892 0.088 0.016 0.004
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 4 0.5409 0.651668 0.000 0.304 0.000 0.612 0.084
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.2871 0.830093 0.876 0.004 0.088 0.000 0.032
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.2069 0.846793 0.924 0.012 0.052 0.000 0.012
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 4 0.6157 0.413986 0.000 0.420 0.016 0.480 0.084
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.6683 -0.291660 0.000 0.444 0.044 0.424 0.088
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 4 0.1074 0.774086 0.000 0.004 0.016 0.968 0.012
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 4 0.0867 0.779271 0.000 0.008 0.008 0.976 0.008
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 4 0.4993 0.699937 0.000 0.268 0.004 0.672 0.056
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.0451 0.777491 0.000 0.000 0.008 0.988 0.004
#> AE988295-3046-4778-81C5-B787CAC92268 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 4 0.1216 0.787323 0.000 0.020 0.000 0.960 0.020
#> B11FF528-846E-4E40-9E32-E5820ECB5504 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 2 0.2784 0.308774 0.004 0.872 0.108 0.016 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 4 0.5500 0.363786 0.000 0.460 0.024 0.492 0.024
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.3513 0.771892 0.000 0.180 0.000 0.800 0.020
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.0290 0.782828 0.000 0.000 0.000 0.992 0.008
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.1469 0.845781 0.948 0.000 0.036 0.000 0.016
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.7284 0.246622 0.000 0.544 0.144 0.208 0.104
#> D902E43A-F384-432A-B690-D20BFCC78443 5 0.2526 0.741938 0.000 0.080 0.012 0.012 0.896
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.0290 0.782828 0.000 0.000 0.000 0.992 0.008
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 4 0.5656 0.629561 0.000 0.316 0.004 0.592 0.088
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.7011 0.275687 0.004 0.584 0.104 0.208 0.100
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.7039 0.473244 0.536 0.048 0.216 0.000 0.200
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.2630 0.747919 0.000 0.080 0.016 0.012 0.892
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.4262 0.708283 0.040 0.080 0.052 0.008 0.820
#> 37586AAC-159B-41F9-9078-C2F7888753AC 4 0.4985 0.589587 0.000 0.392 0.012 0.580 0.016
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.4838 0.213774 0.028 0.632 0.336 0.000 0.004
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.1059 0.848487 0.968 0.008 0.020 0.000 0.004
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 3 0.6308 0.427321 0.000 0.196 0.552 0.004 0.248
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.3602 0.813429 0.840 0.020 0.104 0.000 0.036
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.3922 0.766858 0.000 0.180 0.000 0.780 0.040
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.7699 0.272269 0.456 0.096 0.280 0.000 0.168
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.0451 0.777491 0.000 0.000 0.008 0.988 0.004
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 3 0.6308 0.427321 0.000 0.196 0.552 0.004 0.248
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.4825 0.644162 0.100 0.068 0.036 0.012 0.784
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.4671 0.319485 0.000 0.772 0.084 0.024 0.120
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.2913 0.828100 0.876 0.004 0.080 0.000 0.040
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 4 0.5394 0.642974 0.000 0.328 0.004 0.604 0.064
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.1106 0.848177 0.964 0.000 0.024 0.000 0.012
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.0290 0.782828 0.000 0.000 0.000 0.992 0.008
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.3170 0.780673 0.000 0.160 0.004 0.828 0.008
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0865 0.842755 0.972 0.000 0.024 0.000 0.004
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.5908 0.326309 0.000 0.688 0.064 0.128 0.120
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0771 0.841754 0.976 0.000 0.020 0.000 0.004
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 4 0.5255 0.666332 0.000 0.308 0.004 0.628 0.060
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0865 0.841490 0.972 0.000 0.024 0.000 0.004
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 4 0.3391 0.771426 0.000 0.188 0.000 0.800 0.012
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.0451 0.777491 0.000 0.000 0.008 0.988 0.004
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.8233 -0.057121 0.140 0.356 0.308 0.000 0.196
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 4 0.5139 0.630576 0.000 0.360 0.004 0.596 0.040
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0771 0.841754 0.976 0.000 0.020 0.000 0.004
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.2438 0.830411 0.900 0.000 0.040 0.000 0.060
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0162 0.782126 0.000 0.000 0.000 0.996 0.004
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.1522 0.847390 0.944 0.000 0.044 0.000 0.012
#> EDD5BA86-0402-4002-8040-2B98F43DA758 4 0.2953 0.781682 0.000 0.144 0.000 0.844 0.012
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.2864 0.782050 0.000 0.136 0.000 0.852 0.012
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.8291 0.162816 0.124 0.252 0.204 0.008 0.412
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.2723 0.783955 0.000 0.124 0.000 0.864 0.012
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 4 0.0807 0.773619 0.000 0.000 0.012 0.976 0.012
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 4 0.5148 0.488895 0.000 0.452 0.008 0.516 0.024
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.8416 -0.067294 0.304 0.152 0.296 0.000 0.248
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0771 0.842713 0.976 0.000 0.020 0.000 0.004
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.5187 0.653239 0.000 0.336 0.004 0.612 0.048
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.3291 0.818859 0.856 0.028 0.100 0.000 0.016
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.6908 0.273804 0.000 0.560 0.084 0.256 0.100
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.4054 0.236871 0.000 0.744 0.236 0.008 0.012
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.3304 0.774920 0.000 0.168 0.000 0.816 0.016
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0771 0.843557 0.976 0.000 0.020 0.000 0.004
#> C543A527-3E25-4389-9722-E9325C733243 2 0.5474 -0.275705 0.000 0.520 0.020 0.432 0.028
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.2674 0.784806 0.000 0.120 0.000 0.868 0.012
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.3038 0.319751 0.000 0.872 0.080 0.040 0.008
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.8654 -0.012963 0.192 0.188 0.284 0.008 0.328
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.6560 0.294954 0.000 0.616 0.096 0.204 0.084
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 3 0.6984 0.377321 0.052 0.300 0.528 0.004 0.116
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0290 0.782828 0.000 0.000 0.000 0.992 0.008
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0865 0.841490 0.972 0.000 0.024 0.000 0.004
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0865 0.842755 0.972 0.000 0.024 0.000 0.004
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.1710 0.847346 0.940 0.016 0.040 0.000 0.004
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 4 0.5097 0.662706 0.000 0.320 0.000 0.624 0.056
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0771 0.843557 0.976 0.000 0.020 0.000 0.004
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.4210 0.730414 0.756 0.036 0.204 0.000 0.004
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 4 0.4645 0.699495 0.000 0.300 0.016 0.672 0.012
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 4 0.5587 0.636318 0.000 0.320 0.008 0.600 0.072
#> 33060001-05C9-4751-AA58-F194207ACC08 4 0.5455 0.604574 0.000 0.364 0.008 0.576 0.052
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 4 0.5430 0.667592 0.000 0.296 0.008 0.628 0.068
#> 635170D3-D669-4165-B69C-9C9A246BFF11 4 0.6026 0.501717 0.000 0.388 0.012 0.516 0.084
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.3745 0.764726 0.000 0.196 0.000 0.780 0.024
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 5 0.7035 -0.100199 0.000 0.248 0.012 0.340 0.400
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 4 0.5438 0.634181 0.000 0.340 0.008 0.596 0.056
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 4 0.4992 0.474661 0.000 0.460 0.008 0.516 0.016
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 4 0.4993 0.699937 0.000 0.268 0.004 0.672 0.056
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 4 0.2970 0.779220 0.000 0.168 0.000 0.828 0.004
#> A280A4AF-0687-40CA-8804-C6173B33E732 2 0.4991 0.221828 0.004 0.636 0.320 0.000 0.040
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 3 0.6308 0.427321 0.000 0.196 0.552 0.004 0.248
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.1059 0.848487 0.968 0.008 0.020 0.000 0.004
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 4 0.5886 0.444949 0.000 0.424 0.008 0.492 0.076
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.1670 0.788081 0.000 0.052 0.000 0.936 0.012
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.2466 0.740825 0.000 0.076 0.012 0.012 0.900
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 4 0.5334 0.652712 0.000 0.328 0.008 0.612 0.052
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 4 0.0912 0.771898 0.000 0.000 0.016 0.972 0.012
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.566 0.15454 0.000 0.536 NA 0.012 0.368 0.024
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 6 0.471 0.56367 0.016 0.052 NA 0.052 0.048 0.788
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.283 0.61640 0.000 0.876 NA 0.000 0.028 0.048
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.324 0.69730 0.000 0.816 NA 0.000 0.008 0.024
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.366 0.69390 0.000 0.636 NA 0.000 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.285 0.70153 0.000 0.828 NA 0.000 0.008 0.004
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.542 0.43304 0.000 0.208 NA 0.012 0.004 0.632
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.233 0.81917 0.908 0.000 NA 0.044 0.012 0.008
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.399 0.66042 0.000 0.528 NA 0.000 0.004 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.354 0.58379 0.000 0.836 NA 0.004 0.032 0.064
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 6 0.546 0.50120 0.004 0.168 NA 0.024 0.024 0.688
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#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.346 0.70835 0.000 0.748 NA 0.008 0.004 0.000
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#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 6 0.760 0.04005 0.124 0.004 NA 0.160 0.336 0.364
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.801 -0.30374 0.000 0.376 NA 0.096 0.072 0.296
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 4 0.762 0.45469 0.040 0.020 NA 0.448 0.076 0.308
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.366 0.69390 0.000 0.636 NA 0.000 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.179 0.82782 0.936 0.000 NA 0.024 0.012 0.008
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.151 0.83268 0.948 0.000 NA 0.016 0.012 0.004
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.230 0.83717 0.908 0.000 NA 0.036 0.012 0.040
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.257 0.62553 0.000 0.892 NA 0.000 0.032 0.032
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.153 0.83115 0.948 0.000 NA 0.016 0.012 0.008
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.597 0.61588 0.616 0.000 NA 0.172 0.012 0.164
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.361 0.64945 0.000 0.768 NA 0.004 0.000 0.028
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.341 0.61044 0.000 0.840 NA 0.000 0.052 0.040
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.340 0.58525 0.000 0.840 NA 0.000 0.032 0.064
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.298 0.62911 0.000 0.868 NA 0.000 0.044 0.036
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.480 0.49404 0.000 0.752 NA 0.016 0.048 0.072
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.377 0.69618 0.000 0.780 NA 0.016 0.012 0.012
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.569 0.00833 0.000 0.480 NA 0.012 0.428 0.024
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.284 0.61013 0.000 0.876 NA 0.000 0.032 0.048
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.439 0.50325 0.000 0.748 NA 0.008 0.004 0.120
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.255 0.64871 0.000 0.888 NA 0.000 0.032 0.016
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.324 0.70939 0.000 0.764 NA 0.000 0.000 0.008
#> A280A4AF-0687-40CA-8804-C6173B33E732 6 0.310 0.55014 0.000 0.044 NA 0.028 0.036 0.872
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.635 0.71669 0.000 0.016 NA 0.604 0.164 0.076
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.105 0.83946 0.964 0.000 NA 0.012 0.000 0.020
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.387 0.65347 0.000 0.516 NA 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.498 0.45158 0.000 0.728 NA 0.012 0.036 0.096
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.379 0.70620 0.000 0.688 NA 0.008 0.004 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.148 0.74898 0.000 0.036 NA 0.008 0.944 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.262 0.62140 0.000 0.888 NA 0.000 0.024 0.040
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.387 0.65347 0.000 0.516 NA 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 17630 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 0.993 0.997 0.4713 0.530 0.530
#> 3 3 0.685 0.648 0.860 0.3725 0.711 0.499
#> 4 4 0.766 0.840 0.918 0.1335 0.785 0.468
#> 5 5 0.705 0.591 0.748 0.0588 0.946 0.805
#> 6 6 0.702 0.597 0.707 0.0429 0.892 0.585
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.997 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.998 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.997 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.997 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.997 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.997 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.6623 0.791 0.172 0.828
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.998 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.997 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.997 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.998 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.9552 0.397 0.376 0.624
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.998 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.997 0.000 1.000
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.997 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.997 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.997 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.998 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.997 0.000 1.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.998 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.997 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.997 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.998 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.998 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.997 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.997 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.997 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.998 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.997 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.0000 0.997 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.998 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.0000 0.997 0.000 1.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.998 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.997 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.998 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.997 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.997 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.998 1.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.997 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.997 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.997 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.997 0.000 1.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0000 0.997 0.000 1.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.998 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.998 1.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0000 0.997 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.997 0.000 1.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.997 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.998 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.998 1.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.0000 0.997 0.000 1.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.997 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.997 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.997 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0000 0.997 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.997 0.000 1.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.997 0.000 1.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.997 0.000 1.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.998 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.998 1.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.997 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0000 0.997 0.000 1.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.997 0.000 1.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.997 0.000 1.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.997 0.000 1.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.997 0.000 1.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0000 0.997 0.000 1.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.997 0.000 1.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.0000 0.997 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.998 1.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.998 1.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.997 0.000 1.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.998 1.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.997 0.000 1.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.998 1.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.0000 0.997 0.000 1.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.998 1.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.997 0.000 1.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.997 0.000 1.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.998 1.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.0000 0.997 0.000 1.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.998 1.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.0000 0.998 1.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.997 0.000 1.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0000 0.997 0.000 1.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.997 0.000 1.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 2 0.0000 0.997 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.0000 0.998 1.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.997 0.000 1.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 1 0.7883 0.691 0.764 0.236
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.997 0.000 1.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 1 0.0000 0.998 1.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.997 0.000 1.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0000 0.997 0.000 1.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.998 1.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.0000 0.997 0.000 1.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 1 0.5519 0.853 0.872 0.128
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.0000 0.997 0.000 1.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.998 1.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.997 0.000 1.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.0000 0.997 0.000 1.000
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.998 1.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.998 1.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.0000 0.997 0.000 1.000
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#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.997 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.997 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.997 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.997 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.997 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.5948 0.35444 0.000 0.640 0.360
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.4974 0.43440 0.236 0.764 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 3 0.6295 0.15842 0.000 0.472 0.528
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 3 0.6267 0.22483 0.000 0.452 0.548
#> CA366342-0949-4941-8AE6-984BAF032886 3 0.2261 0.81915 0.000 0.068 0.932
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.6308 -0.02149 0.000 0.508 0.492
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.0000 0.70151 0.000 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.93212 1.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.82721 0.000 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.6225 0.19950 0.000 0.568 0.432
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.1529 0.68265 0.040 0.960 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.0000 0.70151 0.000 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.5968 0.12756 0.364 0.636 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.70151 0.000 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.0000 0.82721 0.000 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.6225 0.19950 0.000 0.568 0.432
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 3 0.6111 0.37845 0.000 0.396 0.604
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.93212 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.70151 0.000 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.3941 0.79424 0.844 0.156 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.5968 0.34738 0.000 0.636 0.364
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.82721 0.000 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.93212 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.93212 1.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0000 0.82721 0.000 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.6225 0.19950 0.000 0.568 0.432
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.82721 0.000 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.93212 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.6286 0.09161 0.000 0.536 0.464
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.0000 0.70151 0.000 1.000 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.93212 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.0000 0.70151 0.000 1.000 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.93212 1.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.0000 0.82721 0.000 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.93212 1.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 3 0.6026 0.42269 0.000 0.376 0.624
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.6225 0.19950 0.000 0.568 0.432
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.4887 0.44962 0.228 0.772 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.6225 0.19950 0.000 0.568 0.432
#> 19EBA5E0-D299-4166-834A-256294572121 3 0.2711 0.81382 0.000 0.088 0.912
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.82721 0.000 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.70151 0.000 1.000 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0000 0.70151 0.000 1.000 0.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.93212 1.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.6291 -0.20414 0.468 0.532 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.6267 0.13565 0.000 0.548 0.452
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.70151 0.000 1.000 0.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 3 0.4452 0.71983 0.000 0.192 0.808
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.93212 1.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.93212 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.0000 0.70151 0.000 1.000 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 3 0.2878 0.80891 0.000 0.096 0.904
#> D35E148D-0537-4186-8B19-17915782AF18 3 0.2711 0.81382 0.000 0.088 0.912
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 3 0.6140 0.35878 0.000 0.404 0.596
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.0000 0.82721 0.000 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.6095 0.29246 0.000 0.608 0.392
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0237 0.69988 0.000 0.996 0.004
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 3 0.3686 0.77511 0.000 0.140 0.860
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.6260 0.40182 0.552 0.448 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.5733 0.59952 0.676 0.324 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 3 0.2448 0.81734 0.000 0.076 0.924
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0000 0.70151 0.000 1.000 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.6267 0.13573 0.000 0.548 0.452
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 3 0.6309 0.06273 0.000 0.496 0.504
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.70151 0.000 1.000 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 3 0.6286 0.18690 0.000 0.464 0.536
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 3 0.2711 0.81382 0.000 0.088 0.912
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.70151 0.000 1.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.82721 0.000 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.93212 1.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.93212 1.000 0.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 3 0.3686 0.77511 0.000 0.140 0.860
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.93212 1.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 3 0.6291 0.17328 0.000 0.468 0.532
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.93212 1.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 3 0.2711 0.81382 0.000 0.088 0.912
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.93212 1.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.70151 0.000 1.000 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.1163 0.68863 0.000 0.972 0.028
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.93212 1.000 0.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 3 0.3752 0.77137 0.000 0.144 0.856
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.93212 1.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.1643 0.89715 0.956 0.044 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.6225 0.19950 0.000 0.568 0.432
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 3 0.6244 0.26073 0.000 0.440 0.560
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.5760 0.40467 0.000 0.672 0.328
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.82721 0.000 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 2 0.6111 0.02749 0.396 0.604 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.70151 0.000 1.000 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.70151 0.000 1.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.5905 0.36797 0.000 0.648 0.352
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.2711 0.64968 0.088 0.912 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.6215 0.20981 0.000 0.572 0.428
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.0000 0.82721 0.000 0.000 1.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.93212 1.000 0.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.0000 0.82721 0.000 0.000 1.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 2 0.0000 0.70151 0.000 1.000 0.000
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.0000 0.70151 0.000 1.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.93212 1.000 0.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.6225 0.19950 0.000 0.568 0.432
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.0000 0.70151 0.000 1.000 0.000
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.93212 1.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.93212 1.000 0.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 3 0.3816 0.76747 0.000 0.148 0.852
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.6111 0.28390 0.000 0.604 0.396
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.70151 0.000 1.000 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.70151 0.000 1.000 0.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 3 0.6140 0.35888 0.000 0.404 0.596
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.1964 0.67313 0.000 0.944 0.056
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.93212 1.000 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.93212 1.000 0.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 3 0.1411 0.82398 0.000 0.036 0.964
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.0000 0.82721 0.000 0.000 1.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.93212 1.000 0.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.93212 1.000 0.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.93212 1.000 0.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.5905 0.36783 0.000 0.648 0.352
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.82721 0.000 0.000 1.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.82721 0.000 0.000 1.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 3 0.2261 0.81915 0.000 0.068 0.932
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.6244 0.41735 0.560 0.440 0.000
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 2 0.3340 0.61244 0.120 0.880 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.5058 0.69895 0.756 0.244 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.0000 0.70151 0.000 1.000 0.000
#> 113340B4-B092-4B8C-8A13-5932525B0C33 2 0.6299 -0.22609 0.476 0.524 0.000
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 3 0.2711 0.81382 0.000 0.088 0.912
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.0000 0.70151 0.000 1.000 0.000
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 3 0.0000 0.82721 0.000 0.000 1.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0000 0.93212 1.000 0.000 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.0000 0.93212 1.000 0.000 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.0000 0.93212 1.000 0.000 0.000
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 3 0.6295 0.03891 0.000 0.472 0.528
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0000 0.93212 1.000 0.000 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.0000 0.70151 0.000 1.000 0.000
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 3 0.2711 0.81382 0.000 0.088 0.912
#> A0A24949-483B-4250-B11E-2BCE49F302AC 3 0.2711 0.81382 0.000 0.088 0.912
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.0000 0.93212 1.000 0.000 0.000
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 3 0.6045 0.41473 0.000 0.380 0.620
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 2 0.6309 -0.03899 0.000 0.504 0.496
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 2 0.0000 0.70151 0.000 1.000 0.000
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.0000 0.93212 1.000 0.000 0.000
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 2 0.0000 0.70151 0.000 1.000 0.000
#> 7604968C-689A-458D-96BA-33B163B238F8 2 0.6308 -0.02149 0.000 0.508 0.492
#> 2E040577-EA0C-4876-9F43-A180DA38F733 1 0.0000 0.93212 1.000 0.000 0.000
#> 9C30E1C0-1ADE-460B-B53D-297CCA80C071 3 0.0000 0.82721 0.000 0.000 1.000
#> 4FE5EDE2-7790-4A75-9BB6-93260A8154A0 2 0.6267 0.13556 0.000 0.548 0.452
#> A4821960-9921-4B07-98CE-C4FDCA15146D 1 0.0000 0.93212 1.000 0.000 0.000
#> 8DA59514-8B25-493E-B226-818F2521B5D5 1 0.0000 0.93212 1.000 0.000 0.000
#> C9EE359E-2F42-4D20-880D-FBF8B4953731 1 0.0000 0.93212 1.000 0.000 0.000
#> F90967A5-96C6-4669-BCFB-0C51F539B0E7 2 0.6252 0.16219 0.000 0.556 0.444
#> 2482156E-29A8-4B6B-91BD-219EAC9229B5 3 0.2711 0.81382 0.000 0.088 0.912
#> 4EA4A8AE-581A-4170-8062-99645CB41337 1 0.0000 0.93212 1.000 0.000 0.000
#> C584D193-A7DD-43B1-93ED-C46F4E3313F0 2 0.5968 0.34749 0.000 0.636 0.364
#> 2FBF997D-B138-4BB4-B51E-81CEF9C0C8A3 3 0.3619 0.77868 0.000 0.136 0.864
#> 0AF0D126-507C-4DE1-B9A2-A1B8F0A089FB 2 0.5882 0.37432 0.000 0.652 0.348
#> 077523A7-E1C9-4E9F-8C9F-B9F647B4DF7C 3 0.0000 0.82721 0.000 0.000 1.000
#> 32CED7C6-C413-4B5C-8A49-8AA2C97E582D 3 0.0000 0.82721 0.000 0.000 1.000
#> 66FF1C46-83F0-4EEC-9871-448C8C7EA3AE 1 0.0000 0.93212 1.000 0.000 0.000
#> 89BE4270-8300-424E-A248-A0B00C3F5C1A 2 0.2878 0.64712 0.000 0.904 0.096
#> 0F8BE394-BA6A-401C-87D0-9B3CF50FB0C8 2 0.5810 0.39270 0.000 0.664 0.336
#> 008AE101-874B-4EB6-B811-3945E5ECCFD9 2 0.2711 0.64968 0.088 0.912 0.000
#> 67B5E93E-6F06-4247-86DD-A914279EFFC5 3 0.2711 0.81382 0.000 0.088 0.912
#> 1E2D87A6-48B8-47FA-A801-AFEA7E01E829 3 0.0000 0.82721 0.000 0.000 1.000
#> E3A67B7B-7427-4C11-912B-166451072767 3 0.0000 0.82721 0.000 0.000 1.000
#> BFC86E5F-1A88-4E87-A8C2-2434EC5D95BE 3 0.2261 0.81915 0.000 0.068 0.932
#> F226F6D3-DE88-4B15-A0F1-63EDB55E8F9D 1 0.0000 0.93212 1.000 0.000 0.000
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#> 3DA19761-6FF3-4E8C-AA0F-C04CE2CE7037 2 0.0000 0.70151 0.000 1.000 0.000
#> 2E401C42-010F-4AFC-A362-B69426418626 1 0.0000 0.93212 1.000 0.000 0.000
#> 913D6292-6507-4F86-A120-137CEACE5C9F 3 0.6286 0.18690 0.000 0.464 0.536
#> F35F85A8-B3CD-4116-990F-94B2E432F902 3 0.6291 0.17328 0.000 0.468 0.532
#> EEE5E45B-D2E3-4CFA-AC5F-8AE1EC2CB61C 3 0.5785 0.50990 0.000 0.332 0.668
#> 7B6D13EE-FE13-4BA8-BA65-1A10307A7936 3 0.0000 0.82721 0.000 0.000 1.000
#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.0000 0.70151 0.000 1.000 0.000
#> A130FABA-F55F-412D-940E-7305057B4D1A 3 0.4796 0.68516 0.000 0.220 0.780
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 2 0.5560 0.44401 0.000 0.700 0.300
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 1 0.0000 0.93212 1.000 0.000 0.000
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 1 0.0000 0.93212 1.000 0.000 0.000
#> E3887082-4C43-426C-8580-ECAA4EFEC577 2 0.0000 0.70151 0.000 1.000 0.000
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 2 0.6295 -0.21512 0.472 0.528 0.000
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 3 0.0000 0.82721 0.000 0.000 1.000
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 3 0.4796 0.68516 0.000 0.220 0.780
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 3 0.6111 0.37845 0.000 0.396 0.604
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 2 0.6252 -0.13342 0.444 0.556 0.000
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.0000 0.93212 1.000 0.000 0.000
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 3 0.0000 0.82721 0.000 0.000 1.000
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0000 0.93212 1.000 0.000 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 2 0.6026 0.09257 0.376 0.624 0.000
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 3 0.6111 0.37845 0.000 0.396 0.604
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.0000 0.93212 1.000 0.000 0.000
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0000 0.70151 0.000 1.000 0.000
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 3 0.0000 0.82721 0.000 0.000 1.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 2 0.4931 0.51515 0.000 0.768 0.232
#> 7C225672-8372-4202-A749-3D8E9A0747CC 3 0.3116 0.80077 0.000 0.108 0.892
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.0000 0.93212 1.000 0.000 0.000
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.93212 1.000 0.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 3 0.0747 0.82579 0.000 0.016 0.984
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 2 0.5706 0.25230 0.320 0.680 0.000
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 3 0.3412 0.78860 0.000 0.124 0.876
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.6309 0.29199 0.504 0.496 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.93212 1.000 0.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.93212 1.000 0.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 3 0.6291 0.17328 0.000 0.468 0.532
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0000 0.82721 0.000 0.000 1.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0000 0.82721 0.000 0.000 1.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.5988 0.34008 0.000 0.632 0.368
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0000 0.82721 0.000 0.000 1.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0000 0.82721 0.000 0.000 1.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.93212 1.000 0.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0000 0.82721 0.000 0.000 1.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.93212 1.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 2 0.6302 -0.23709 0.480 0.520 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.0000 0.70151 0.000 1.000 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.93212 1.000 0.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.93212 1.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 2 0.0000 0.70151 0.000 1.000 0.000
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.93212 1.000 0.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.70151 0.000 1.000 0.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 3 0.2711 0.81382 0.000 0.088 0.912
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 2 0.0000 0.70151 0.000 1.000 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.6192 0.22984 0.000 0.580 0.420
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.93212 1.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.82721 0.000 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.93212 1.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.70151 0.000 1.000 0.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.70151 0.000 1.000 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.82721 0.000 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.0000 0.82721 0.000 0.000 1.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.6308 -0.02149 0.000 0.508 0.492
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 3 0.1411 0.82398 0.000 0.036 0.964
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.82721 0.000 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.0000 0.82721 0.000 0.000 1.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.82721 0.000 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 2 0.3038 0.63173 0.104 0.896 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.82721 0.000 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.4702 0.58950 0.000 0.788 0.212
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 3 0.6168 0.33843 0.000 0.412 0.588
#> 4D9EF242-9F58-4681-ADCF-556E05932931 3 0.2448 0.81734 0.000 0.076 0.924
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.93212 1.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.0000 0.70151 0.000 1.000 0.000
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.0000 0.70151 0.000 1.000 0.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 3 0.2711 0.81382 0.000 0.088 0.912
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.70151 0.000 1.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0000 0.70151 0.000 1.000 0.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.82721 0.000 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.93212 1.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 2 0.3686 0.58842 0.140 0.860 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.5926 0.55522 0.644 0.356 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 3 0.5810 0.50271 0.000 0.336 0.664
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.2711 0.64968 0.088 0.912 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.93212 1.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.0000 0.70151 0.000 1.000 0.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.93212 1.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 3 0.5098 0.64712 0.000 0.248 0.752
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.93212 1.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 3 0.2261 0.81915 0.000 0.068 0.932
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.5948 0.14189 0.360 0.640 0.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.6295 -0.21511 0.472 0.528 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0000 0.70151 0.000 1.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.93212 1.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.6225 0.19950 0.000 0.568 0.432
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.93212 1.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 3 0.2711 0.81382 0.000 0.088 0.912
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0000 0.82721 0.000 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.93212 1.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.70151 0.000 1.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.93212 1.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.6192 0.22985 0.000 0.580 0.420
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.93212 1.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.6267 0.13556 0.000 0.548 0.452
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.0000 0.82721 0.000 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.6305 0.32177 0.516 0.484 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.5621 0.43309 0.000 0.692 0.308
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.93212 1.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.93212 1.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.0000 0.82721 0.000 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.93212 1.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.6079 0.39667 0.000 0.388 0.612
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 3 0.3267 0.79486 0.000 0.116 0.884
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 2 0.5678 0.26110 0.316 0.684 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 3 0.2711 0.81382 0.000 0.088 0.912
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.82721 0.000 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.5988 0.34008 0.000 0.632 0.368
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.82721 0.000 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.6274 0.38518 0.544 0.456 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.93212 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.6235 0.18746 0.000 0.564 0.436
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.93212 1.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.70151 0.000 1.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.82721 0.000 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.2711 0.64968 0.088 0.912 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 3 0.6286 0.18690 0.000 0.464 0.536
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.93212 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.6274 0.12131 0.000 0.544 0.456
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 3 0.2711 0.81382 0.000 0.088 0.912
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.0000 0.70151 0.000 1.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.6180 0.46052 0.584 0.416 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.70151 0.000 1.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.2066 0.67206 0.060 0.940 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 3 0.6045 0.41424 0.000 0.380 0.620
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.93212 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.93212 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.93212 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.6225 0.19950 0.000 0.568 0.432
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.93212 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.93212 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 3 0.6305 0.11198 0.000 0.484 0.516
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.6225 0.19950 0.000 0.568 0.432
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.5497 0.45436 0.000 0.708 0.292
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.6062 0.30888 0.000 0.616 0.384
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.2448 0.66084 0.000 0.924 0.076
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 3 0.6286 0.18690 0.000 0.464 0.536
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.5882 0.37440 0.000 0.652 0.348
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.6225 0.19950 0.000 0.568 0.432
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.6180 0.23941 0.000 0.584 0.416
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 3 0.6267 0.22483 0.000 0.452 0.548
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.82721 0.000 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 2 0.5678 0.26214 0.316 0.684 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.70151 0.000 1.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.93212 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.82721 0.000 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.6192 0.22985 0.000 0.580 0.420
#> 293E6D35-8392-4C44-BC18-F917989516B0 3 0.2711 0.81382 0.000 0.088 0.912
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.70151 0.000 1.000 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.6308 -0.02149 0.000 0.508 0.492
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.82721 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0188 0.89768 0.000 0.996 0.000 0.004
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 4 0.0000 0.92707 0.000 0.000 0.000 1.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 3 0.4500 0.71563 0.000 0.316 0.684 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 4 0.0592 0.92143 0.000 0.016 0.000 0.984
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.1637 0.79481 0.000 0.060 0.940 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 4 0.0000 0.92707 0.000 0.000 0.000 1.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 4 0.0188 0.92688 0.000 0.000 0.004 0.996
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#> 1C62E679-3A4E-4D10-8BFB-5BFBF2A3B4B6 4 0.0469 0.92373 0.000 0.012 0.000 0.988
#> 39777F3A-0854-4C8E-9FF4-9A1369C4733D 2 0.2466 0.83990 0.000 0.900 0.004 0.096
#> AC25E68C-76EA-40E0-912F-29C632BC0996 1 0.4040 0.66357 0.752 0.000 0.000 0.248
#> 3DA19761-6FF3-4E8C-AA0F-C04CE2CE7037 4 0.4509 0.62219 0.000 0.288 0.004 0.708
#> 2E401C42-010F-4AFC-A362-B69426418626 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 913D6292-6507-4F86-A120-137CEACE5C9F 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> F35F85A8-B3CD-4116-990F-94B2E432F902 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> EEE5E45B-D2E3-4CFA-AC5F-8AE1EC2CB61C 2 0.1389 0.86128 0.000 0.952 0.048 0.000
#> 7B6D13EE-FE13-4BA8-BA65-1A10307A7936 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.3486 0.77087 0.000 0.812 0.000 0.188
#> A130FABA-F55F-412D-940E-7305057B4D1A 2 0.4431 0.39578 0.000 0.696 0.304 0.000
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 2 0.2589 0.82773 0.000 0.884 0.000 0.116
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 4 0.3688 0.72405 0.208 0.000 0.000 0.792
#> E3887082-4C43-426C-8580-ECAA4EFEC577 2 0.4164 0.66484 0.000 0.736 0.000 0.264
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 4 0.0524 0.92608 0.008 0.000 0.004 0.988
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 2 0.3569 0.65194 0.000 0.804 0.196 0.000
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 4 0.0524 0.92608 0.008 0.000 0.004 0.988
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 4 0.3873 0.69655 0.228 0.000 0.000 0.772
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 4 0.0524 0.92608 0.008 0.000 0.004 0.988
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.2704 0.85190 0.876 0.000 0.000 0.124
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.3311 0.78604 0.000 0.828 0.000 0.172
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 4 0.6058 0.56061 0.000 0.068 0.308 0.624
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.4888 -0.00128 0.000 0.588 0.412 0.000
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.3311 0.79253 0.828 0.000 0.000 0.172
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 2 0.3311 0.75673 0.000 0.828 0.172 0.000
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 4 0.0188 0.92688 0.000 0.000 0.004 0.996
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 3 0.4941 0.50945 0.000 0.436 0.564 0.000
#> 2F382D6A-B26F-450A-A156-9407D14538CD 4 0.0336 0.92660 0.008 0.000 0.000 0.992
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 4 0.4008 0.67097 0.244 0.000 0.000 0.756
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 4 0.0524 0.92608 0.008 0.000 0.004 0.988
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 4 0.0188 0.92688 0.000 0.000 0.004 0.996
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 4 0.0188 0.92688 0.000 0.000 0.004 0.996
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.3569 0.76137 0.000 0.804 0.000 0.196
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.1716 0.84548 0.000 0.936 0.064 0.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 4 0.2011 0.87443 0.000 0.080 0.000 0.920
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.3172 0.79534 0.000 0.840 0.000 0.160
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.3311 0.78604 0.000 0.828 0.000 0.172
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.3172 0.80244 0.000 0.160 0.840 0.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 3 0.4500 0.71563 0.000 0.316 0.684 0.000
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.3123 0.80382 0.000 0.156 0.844 0.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 4 0.0188 0.92651 0.000 0.004 0.000 0.996
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.5231 0.54899 0.000 0.676 0.296 0.028
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 3 0.4605 0.69861 0.000 0.336 0.664 0.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.3311 0.78604 0.000 0.828 0.000 0.172
#> D902E43A-F384-432A-B690-D20BFCC78443 4 0.2888 0.83753 0.000 0.124 0.004 0.872
#> D5E8379B-621C-4551-9B13-E63B1B068488 3 0.4605 0.69861 0.000 0.336 0.664 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0376 0.89633 0.000 0.992 0.004 0.004
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.4679 0.49310 0.000 0.648 0.000 0.352
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.4382 0.57112 0.704 0.000 0.000 0.296
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 4 0.0524 0.92608 0.008 0.000 0.004 0.988
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 4 0.2888 0.82497 0.124 0.000 0.004 0.872
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.1356 0.87835 0.000 0.960 0.032 0.008
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 4 0.0469 0.92373 0.000 0.012 0.000 0.988
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.3764 0.73622 0.000 0.784 0.000 0.216
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.3764 0.61267 0.000 0.784 0.216 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 3 0.4522 0.71244 0.000 0.320 0.680 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 4 0.0376 0.92685 0.000 0.004 0.004 0.992
#> 1FB9316D-4674-4D97-A33B-649F53D09487 4 0.0524 0.92608 0.008 0.000 0.004 0.988
#> BF513557-1518-4843-9F62-837B557D4CAB 4 0.2345 0.85420 0.000 0.100 0.000 0.900
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 3 0.4605 0.69861 0.000 0.336 0.664 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.3356 0.79588 0.000 0.176 0.824 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 4 0.2530 0.84260 0.000 0.112 0.000 0.888
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0524 0.89688 0.000 0.988 0.004 0.008
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.3024 0.80646 0.000 0.148 0.852 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 4 0.0524 0.92608 0.008 0.000 0.004 0.988
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0336 0.89593 0.000 0.992 0.000 0.008
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.3801 0.77480 0.000 0.220 0.780 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 3 0.4989 0.41621 0.000 0.472 0.528 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 4 0.0524 0.92608 0.008 0.000 0.004 0.988
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 3 0.4624 0.69382 0.000 0.340 0.660 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0336 0.89593 0.000 0.992 0.000 0.008
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 4 0.0524 0.92608 0.008 0.000 0.004 0.988
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.3311 0.78604 0.000 0.828 0.000 0.172
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 4 0.0188 0.92651 0.000 0.004 0.000 0.996
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0336 0.89593 0.000 0.992 0.000 0.008
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 3 0.4624 0.69382 0.000 0.340 0.660 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.4522 0.55905 0.000 0.680 0.000 0.320
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 4 0.0524 0.92608 0.008 0.000 0.004 0.988
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.3569 0.76137 0.000 0.804 0.000 0.196
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 4 0.0469 0.92373 0.000 0.012 0.000 0.988
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.3123 0.72088 0.000 0.844 0.156 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0336 0.89593 0.000 0.992 0.000 0.008
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0469 0.89399 0.000 0.988 0.000 0.012
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0376 0.89633 0.000 0.992 0.004 0.004
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0336 0.89593 0.000 0.992 0.000 0.008
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.4989 0.32884 0.000 0.472 0.528 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 4 0.0000 0.92707 0.000 0.000 0.000 1.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.4331 0.63861 0.000 0.712 0.000 0.288
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.97677 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0188 0.81874 0.000 0.004 0.996 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0336 0.89593 0.000 0.992 0.000 0.008
#> 293E6D35-8392-4C44-BC18-F917989516B0 3 0.4605 0.69861 0.000 0.336 0.664 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.3402 0.80021 0.000 0.164 0.004 0.832
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0188 0.89858 0.000 0.996 0.004 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0188 0.81874 0.000 0.004 0.996 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0162 0.74197 0.000 0.996 0.000 0.004 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.3480 0.54980 0.000 0.000 0.000 0.248 0.752
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0162 0.74220 0.000 0.996 0.000 0.004 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.74179 0.000 1.000 0.000 0.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 3 0.3876 0.58362 0.000 0.316 0.684 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.74179 0.000 1.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 4 0.5868 0.42336 0.000 0.104 0.000 0.516 0.380
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0404 0.92704 0.988 0.000 0.000 0.012 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.4777 0.58595 0.000 0.052 0.680 0.268 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0510 0.73987 0.000 0.984 0.000 0.016 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.3534 0.54262 0.000 0.000 0.000 0.256 0.744
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.1638 0.67514 0.000 0.004 0.000 0.064 0.932
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.3636 0.51597 0.000 0.000 0.000 0.272 0.728
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.5122 0.14707 0.000 0.628 0.000 0.312 0.060
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.3636 0.60888 0.000 0.272 0.728 0.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0162 0.74197 0.000 0.996 0.000 0.004 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.3636 0.48268 0.000 0.728 0.272 0.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 4 0.5500 0.48985 0.000 0.376 0.000 0.552 0.072
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.3461 0.56347 0.004 0.000 0.000 0.224 0.772
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.2732 0.62796 0.000 0.840 0.000 0.160 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.3661 0.62497 0.000 0.000 0.724 0.276 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.4937 0.62330 0.672 0.000 0.000 0.064 0.264
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.3366 0.62532 0.000 0.232 0.768 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0162 0.74197 0.000 0.996 0.000 0.004 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.3395 0.62392 0.000 0.236 0.764 0.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0609 0.92782 0.980 0.000 0.000 0.020 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.4010 0.58875 0.000 0.760 0.032 0.208 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.5733 0.40867 0.000 0.220 0.000 0.160 0.620
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 4 0.4644 0.22872 0.000 0.012 0.000 0.528 0.460
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.3033 0.87091 0.864 0.000 0.000 0.052 0.084
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.3366 0.62532 0.000 0.232 0.768 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.3796 0.42609 0.000 0.700 0.300 0.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0162 0.74197 0.000 0.996 0.000 0.004 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.3452 0.55806 0.000 0.000 0.000 0.244 0.756
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0162 0.74220 0.000 0.996 0.000 0.004 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 3 0.3932 0.57420 0.000 0.328 0.672 0.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0162 0.63543 0.000 0.004 0.996 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.5195 0.36322 0.000 0.688 0.000 0.144 0.168
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.5783 0.39320 0.000 0.228 0.000 0.160 0.612
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.3012 0.84781 0.860 0.000 0.000 0.036 0.104
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 5 0.3508 0.54552 0.000 0.000 0.000 0.252 0.748
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.3977 0.59269 0.000 0.764 0.032 0.204 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.6334 -0.15459 0.000 0.452 0.000 0.160 0.388
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.3534 0.51696 0.000 0.744 0.256 0.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0162 0.92687 0.996 0.000 0.000 0.004 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 4 0.6024 0.52271 0.000 0.148 0.000 0.556 0.296
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 3 0.4114 0.49023 0.000 0.376 0.624 0.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 3 0.3932 0.57420 0.000 0.328 0.672 0.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.3661 0.47581 0.000 0.724 0.276 0.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.3366 0.62532 0.000 0.232 0.768 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0404 0.74097 0.000 0.988 0.000 0.012 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.5192 -0.19562 0.000 0.492 0.004 0.472 0.032
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.4210 0.15050 0.000 0.588 0.412 0.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 5 0.1704 0.67319 0.004 0.000 0.000 0.068 0.928
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 5 0.4276 0.50642 0.032 0.000 0.000 0.244 0.724
#> 332283CB-F855-4493-A259-7852FD37B9DC 3 0.3895 0.58056 0.000 0.320 0.680 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.5566 0.52897 0.000 0.332 0.000 0.580 0.088
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0162 0.74197 0.000 0.996 0.000 0.004 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0162 0.74220 0.000 0.996 0.000 0.004 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.5047 -0.19239 0.000 0.496 0.000 0.472 0.032
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.3495 0.63733 0.000 0.812 0.028 0.160 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 3 0.3949 0.56943 0.000 0.332 0.668 0.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.5047 -0.19239 0.000 0.496 0.000 0.472 0.032
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.6071 0.44298 0.000 0.160 0.556 0.284 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.1836 0.90472 0.932 0.000 0.000 0.036 0.032
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.3578 0.64336 0.048 0.000 0.000 0.132 0.820
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.4300 -0.09737 0.000 0.524 0.476 0.000 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.74179 0.000 1.000 0.000 0.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0794 0.92212 0.972 0.000 0.000 0.028 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 3 0.3949 0.56943 0.000 0.332 0.668 0.000 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0404 0.92704 0.988 0.000 0.000 0.012 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 4 0.5114 0.22487 0.000 0.476 0.000 0.488 0.036
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.5039 -0.14408 0.000 0.512 0.000 0.456 0.032
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.1012 0.92664 0.968 0.000 0.000 0.020 0.012
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.3586 0.48241 0.000 0.736 0.264 0.000 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0404 0.92704 0.988 0.000 0.000 0.012 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 5 0.5396 0.52206 0.220 0.000 0.000 0.124 0.656
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0162 0.74197 0.000 0.996 0.000 0.004 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0290 0.74209 0.000 0.992 0.000 0.008 0.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.1478 0.71287 0.000 0.936 0.000 0.064 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.3661 0.62497 0.000 0.000 0.724 0.276 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.3412 0.65785 0.000 0.028 0.000 0.152 0.820
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.5046 -0.17840 0.000 0.500 0.000 0.468 0.032
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 4 0.6001 0.54754 0.000 0.176 0.000 0.580 0.244
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0290 0.74184 0.000 0.992 0.000 0.008 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 4 0.4641 0.23652 0.000 0.012 0.000 0.532 0.456
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0290 0.74184 0.000 0.992 0.000 0.008 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.4192 0.51332 0.000 0.736 0.232 0.032 0.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.5865 0.37060 0.552 0.000 0.000 0.116 0.332
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.3366 0.62532 0.000 0.232 0.768 0.000 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.3495 0.65204 0.000 0.028 0.000 0.160 0.812
#> 9ECB653A-A04F-457C-92FC-D13424511A47 5 0.6312 -0.27915 0.000 0.156 0.000 0.392 0.452
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 5 0.4025 0.61836 0.132 0.000 0.000 0.076 0.792
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0510 0.73987 0.000 0.984 0.000 0.016 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 5 0.5856 0.33516 0.000 0.172 0.000 0.224 0.604
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0609 0.92782 0.980 0.000 0.000 0.020 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 5 0.5559 0.27830 0.380 0.000 0.000 0.076 0.544
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.4182 0.18877 0.000 0.600 0.400 0.000 0.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.0290 0.74126 0.000 0.992 0.000 0.008 0.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.3895 0.31060 0.000 0.680 0.000 0.320 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.5047 -0.19239 0.000 0.496 0.000 0.472 0.032
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.74179 0.000 1.000 0.000 0.000 0.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.4989 -0.02320 0.000 0.552 0.000 0.416 0.032
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.4990 0.47975 0.600 0.000 0.000 0.040 0.360
#> 37A8E941-F86F-449A-86E4-833AC349111F 3 0.3857 0.58667 0.000 0.312 0.688 0.000 0.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.6465 0.31481 0.000 0.288 0.492 0.220 0.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0404 0.92704 0.988 0.000 0.000 0.012 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 5 0.2074 0.66483 0.044 0.000 0.000 0.036 0.920
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.2813 0.62284 0.000 0.832 0.000 0.168 0.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.3661 0.62497 0.000 0.000 0.724 0.276 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.3661 0.62497 0.000 0.000 0.724 0.276 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 3 0.3876 0.58362 0.000 0.316 0.684 0.000 0.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 5 0.2286 0.65497 0.004 0.000 0.000 0.108 0.888
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 5 0.3074 0.60287 0.000 0.000 0.000 0.196 0.804
#> ED604501-C110-4693-820B-DE9FB648FEAA 5 0.1502 0.67442 0.004 0.000 0.000 0.056 0.940
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.5664 -0.09784 0.000 0.560 0.000 0.348 0.092
#> 113340B4-B092-4B8C-8A13-5932525B0C33 5 0.3454 0.66503 0.028 0.000 0.000 0.156 0.816
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 3 0.3983 0.55932 0.000 0.340 0.660 0.000 0.000
#> 25B5E54F-5858-454C-9B23-440A82450912 4 0.5652 0.51921 0.000 0.360 0.000 0.552 0.088
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 3 0.0162 0.63543 0.000 0.004 0.996 0.000 0.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0404 0.92704 0.988 0.000 0.000 0.012 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.3355 0.83079 0.832 0.000 0.000 0.036 0.132
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.2153 0.90182 0.916 0.000 0.000 0.044 0.040
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 2 0.3058 0.65093 0.000 0.860 0.096 0.044 0.000
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.4475 0.32823 0.000 0.692 0.000 0.276 0.032
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 3 0.3949 0.56943 0.000 0.332 0.668 0.000 0.000
#> A0A24949-483B-4250-B11E-2BCE49F302AC 2 0.2471 0.65643 0.000 0.864 0.136 0.000 0.000
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.2450 0.89772 0.900 0.000 0.000 0.052 0.048
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 2 0.3586 0.49609 0.000 0.736 0.264 0.000 0.000
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 2 0.0290 0.74126 0.000 0.992 0.000 0.008 0.000
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 5 0.6518 -0.31161 0.000 0.192 0.000 0.396 0.412
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.0963 0.91960 0.964 0.000 0.000 0.036 0.000
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 4 0.5454 0.43559 0.000 0.404 0.000 0.532 0.064
#> 7604968C-689A-458D-96BA-33B163B238F8 2 0.0162 0.74197 0.000 0.996 0.000 0.004 0.000
#> 2E040577-EA0C-4876-9F43-A180DA38F733 1 0.0794 0.92212 0.972 0.000 0.000 0.028 0.000
#> 9C30E1C0-1ADE-460B-B53D-297CCA80C071 3 0.3534 0.61618 0.000 0.256 0.744 0.000 0.000
#> 4FE5EDE2-7790-4A75-9BB6-93260A8154A0 2 0.0955 0.73030 0.000 0.968 0.028 0.004 0.000
#> A4821960-9921-4B07-98CE-C4FDCA15146D 1 0.0963 0.91960 0.964 0.000 0.000 0.036 0.000
#> 8DA59514-8B25-493E-B226-818F2521B5D5 1 0.0404 0.92704 0.988 0.000 0.000 0.012 0.000
#> C9EE359E-2F42-4D20-880D-FBF8B4953731 5 0.5255 0.16646 0.388 0.000 0.000 0.052 0.560
#> F90967A5-96C6-4669-BCFB-0C51F539B0E7 2 0.0162 0.74197 0.000 0.996 0.000 0.004 0.000
#> 2482156E-29A8-4B6B-91BD-219EAC9229B5 3 0.3949 0.56943 0.000 0.332 0.668 0.000 0.000
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#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.3039 0.58674 0.000 0.808 0.000 0.192 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.3661 0.62497 0.000 0.000 0.724 0.276 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.0451 0.67855 0.004 0.000 0.000 0.008 0.988
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0162 0.74220 0.000 0.996 0.000 0.004 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.1661 0.91519 0.940 0.000 0.000 0.024 0.036
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.5036 -0.13920 0.000 0.516 0.000 0.452 0.032
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.3661 0.62497 0.000 0.000 0.724 0.276 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 5 0.4287 -0.01925 0.000 0.000 0.000 0.460 0.540
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.3741 0.49504 0.000 0.732 0.264 0.004 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.3160 0.60528 0.000 0.808 0.000 0.188 0.004
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 3 0.3949 0.56943 0.000 0.332 0.668 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 4 0.5644 0.36641 0.000 0.440 0.000 0.484 0.076
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.2712 0.66352 0.032 0.000 0.000 0.088 0.880
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.5036 -0.14034 0.000 0.516 0.000 0.452 0.032
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 4 0.4937 0.28302 0.000 0.028 0.000 0.544 0.428
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.3895 0.38003 0.000 0.680 0.320 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0609 0.92782 0.980 0.000 0.000 0.020 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0290 0.74184 0.000 0.992 0.000 0.008 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0794 0.92672 0.972 0.000 0.000 0.028 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0510 0.92784 0.984 0.000 0.000 0.016 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0609 0.73945 0.000 0.980 0.000 0.020 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0290 0.74184 0.000 0.992 0.000 0.008 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.1732 0.70097 0.000 0.920 0.000 0.080 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0404 0.74131 0.000 0.988 0.000 0.012 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.3336 0.56163 0.000 0.772 0.000 0.228 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.4197 0.63938 0.000 0.776 0.076 0.148 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0290 0.74126 0.000 0.992 0.000 0.008 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0290 0.74184 0.000 0.992 0.000 0.008 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.2690 0.63204 0.000 0.844 0.000 0.156 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.1410 0.70805 0.000 0.940 0.060 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.2377 0.64577 0.000 0.872 0.128 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.3424 0.56004 0.000 0.000 0.000 0.240 0.760
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.5717 0.49922 0.000 0.368 0.000 0.540 0.092
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.1043 0.92513 0.960 0.000 0.000 0.040 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.3661 0.62497 0.000 0.000 0.724 0.276 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.3074 0.59989 0.000 0.804 0.000 0.196 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 3 0.3932 0.57420 0.000 0.328 0.672 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.5237 0.51144 0.000 0.156 0.000 0.160 0.684
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0162 0.74220 0.000 0.996 0.000 0.004 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.3661 0.62497 0.000 0.000 0.724 0.276 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0713 0.78124 0.000 0.972 0.000 0.000 0.028 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.5984 0.46583 0.000 0.000 0.000 0.272 0.444 0.284
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.5787 0.79443 0.000 0.252 0.244 0.504 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.4402 0.31865 0.000 0.008 0.000 0.188 0.080 0.724
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0405 0.85492 0.988 0.000 0.000 0.008 0.000 0.004
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.2812 0.83183 0.000 0.040 0.872 0.016 0.000 0.072
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.6024 0.43882 0.000 0.000 0.000 0.268 0.424 0.308
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.4996 0.56029 0.000 0.000 0.000 0.200 0.644 0.156
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 6 0.6067 -0.32513 0.000 0.000 0.000 0.272 0.332 0.396
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.5468 0.35946 0.000 0.660 0.000 0.104 0.056 0.180
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.5786 0.78319 0.000 0.240 0.256 0.504 0.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.3864 -0.36799 0.000 0.520 0.000 0.480 0.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0146 0.85447 0.996 0.000 0.000 0.000 0.000 0.004
#> 022275BA-F672-49C5-887B-CCF24A20848F 6 0.1814 0.58575 0.000 0.100 0.000 0.000 0.000 0.900
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.6547 0.39455 0.020 0.000 0.000 0.308 0.352 0.320
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.2664 0.62907 0.000 0.816 0.000 0.000 0.000 0.184
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.94186 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0146 0.85447 0.996 0.000 0.000 0.000 0.000 0.004
#> B7A23896-4182-48D3-A1D9-92C781BF283F 4 0.6932 -0.55328 0.224 0.000 0.000 0.456 0.236 0.084
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.5786 0.78277 0.000 0.240 0.256 0.504 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.5786 0.78277 0.000 0.240 0.256 0.504 0.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.1493 0.85507 0.936 0.000 0.000 0.056 0.004 0.004
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 6 0.5741 0.09590 0.000 0.372 0.000 0.172 0.000 0.456
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.4099 0.31979 0.000 0.244 0.000 0.000 0.708 0.048
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0146 0.85447 0.996 0.000 0.000 0.000 0.000 0.004
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 6 0.3772 0.36931 0.000 0.008 0.000 0.180 0.040 0.772
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.5516 0.57442 0.572 0.000 0.000 0.260 0.164 0.004
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.5786 0.78277 0.000 0.240 0.256 0.504 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0146 0.85447 0.996 0.000 0.000 0.000 0.000 0.004
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.3998 0.42843 0.000 0.492 0.004 0.504 0.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.6003 0.45710 0.000 0.000 0.000 0.272 0.436 0.292
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0146 0.79501 0.000 0.996 0.000 0.000 0.000 0.004
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.5787 0.79443 0.000 0.252 0.244 0.504 0.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.3869 -0.22810 0.000 0.000 0.500 0.500 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.4561 0.02560 0.000 0.428 0.000 0.000 0.536 0.036
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.4107 0.30372 0.000 0.256 0.000 0.000 0.700 0.044
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.5330 0.65270 0.612 0.000 0.000 0.208 0.176 0.004
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 6 0.6099 -0.34803 0.000 0.000 0.000 0.292 0.328 0.380
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 6 0.5115 -0.01783 0.000 0.456 0.000 0.080 0.000 0.464
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.4309 0.24585 0.000 0.296 0.000 0.000 0.660 0.044
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.4127 -0.13294 0.000 0.588 0.008 0.400 0.000 0.004
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.1285 0.85576 0.944 0.000 0.000 0.052 0.004 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0146 0.85447 0.996 0.000 0.000 0.000 0.000 0.004
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 6 0.2373 0.46539 0.000 0.008 0.000 0.104 0.008 0.880
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.5716 0.77123 0.000 0.304 0.192 0.504 0.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.5784 0.79520 0.000 0.260 0.236 0.504 0.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.4531 0.45081 0.000 0.464 0.000 0.504 0.000 0.032
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.5786 0.78277 0.000 0.240 0.256 0.504 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0146 0.79503 0.000 0.996 0.000 0.000 0.000 0.004
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 6 0.2871 0.59541 0.000 0.192 0.000 0.004 0.000 0.804
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.4755 0.51777 0.000 0.460 0.048 0.492 0.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 5 0.5724 0.53962 0.000 0.000 0.000 0.324 0.492 0.184
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 6 0.6259 -0.29107 0.008 0.000 0.000 0.324 0.264 0.404
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.5787 0.79443 0.000 0.252 0.244 0.504 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 6 0.3274 0.56727 0.000 0.096 0.000 0.000 0.080 0.824
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 6 0.2730 0.59725 0.000 0.192 0.000 0.000 0.000 0.808
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.4634 0.48321 0.000 0.656 0.000 0.080 0.000 0.264
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.5784 0.79520 0.000 0.260 0.236 0.504 0.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 6 0.2762 0.59385 0.000 0.196 0.000 0.000 0.000 0.804
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.2750 0.73142 0.000 0.136 0.844 0.000 0.000 0.020
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.3933 0.77925 0.740 0.000 0.000 0.216 0.040 0.004
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.2562 0.55088 0.000 0.000 0.000 0.172 0.828 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.5228 0.63889 0.000 0.400 0.096 0.504 0.000 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0146 0.85447 0.996 0.000 0.000 0.000 0.000 0.004
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.2416 0.82876 0.844 0.000 0.000 0.156 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.5774 0.79251 0.000 0.272 0.224 0.504 0.000 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0405 0.85492 0.988 0.000 0.000 0.008 0.000 0.004
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 6 0.2730 0.59725 0.000 0.192 0.000 0.000 0.000 0.808
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 6 0.2969 0.56802 0.000 0.224 0.000 0.000 0.000 0.776
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.2314 0.84051 0.900 0.000 0.000 0.056 0.008 0.036
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.3482 0.18449 0.000 0.684 0.000 0.316 0.000 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0260 0.85537 0.992 0.000 0.000 0.008 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 5 0.5363 0.44086 0.148 0.000 0.000 0.232 0.612 0.008
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0363 0.79192 0.000 0.988 0.000 0.000 0.000 0.012
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.2340 0.67744 0.000 0.852 0.000 0.000 0.000 0.148
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.94186 0.000 0.000 1.000 0.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.0603 0.56351 0.000 0.000 0.000 0.004 0.980 0.016
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 6 0.2883 0.57812 0.000 0.212 0.000 0.000 0.000 0.788
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 6 0.1719 0.56043 0.000 0.060 0.000 0.000 0.016 0.924
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0547 0.78919 0.000 0.980 0.000 0.000 0.000 0.020
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 6 0.2813 0.45160 0.000 0.008 0.000 0.092 0.036 0.864
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.3126 0.56117 0.000 0.752 0.248 0.000 0.000 0.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.6139 0.23148 0.384 0.000 0.000 0.240 0.372 0.004
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.5786 0.78277 0.000 0.240 0.256 0.504 0.000 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.1007 0.54957 0.000 0.000 0.000 0.000 0.956 0.044
#> 9ECB653A-A04F-457C-92FC-D13424511A47 6 0.7575 0.05335 0.000 0.272 0.000 0.192 0.196 0.340
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 4 0.5939 -0.68154 0.012 0.000 0.000 0.432 0.408 0.148
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.1007 0.77268 0.000 0.956 0.000 0.000 0.000 0.044
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#> A061C2FD-B726-422D-9470-43249B49F5BD 6 0.3872 0.31771 0.000 0.392 0.000 0.004 0.000 0.604
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0260 0.79114 0.000 0.992 0.000 0.008 0.000 0.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 6 0.5295 0.25772 0.000 0.032 0.000 0.208 0.104 0.656
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0865 0.78270 0.000 0.964 0.000 0.000 0.000 0.036
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.4085 0.75737 0.716 0.000 0.000 0.232 0.052 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.94186 0.000 0.000 1.000 0.000 0.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0653 0.85647 0.980 0.000 0.000 0.012 0.004 0.004
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.3868 -0.01510 0.000 0.504 0.000 0.000 0.000 0.496
#> 72781523-C5BA-4B54-8410-E238B5F441B4 6 0.3330 0.48944 0.000 0.284 0.000 0.000 0.000 0.716
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.94186 0.000 0.000 1.000 0.000 0.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 4 0.5941 0.75298 0.000 0.316 0.236 0.448 0.000 0.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.5787 0.79443 0.000 0.252 0.244 0.504 0.000 0.000
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.94186 0.000 0.000 1.000 0.000 0.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 4 0.5786 0.78277 0.000 0.240 0.256 0.504 0.000 0.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.94186 0.000 0.000 1.000 0.000 0.000 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 6 0.5365 0.05538 0.000 0.000 0.000 0.256 0.164 0.580
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.94186 0.000 0.000 1.000 0.000 0.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 6 0.3213 0.60009 0.000 0.160 0.032 0.000 0.000 0.808
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.4157 -0.26960 0.000 0.544 0.000 0.444 0.000 0.012
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.5787 0.79443 0.000 0.252 0.244 0.504 0.000 0.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.3104 0.81218 0.800 0.000 0.000 0.184 0.016 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 6 0.2730 0.59725 0.000 0.192 0.000 0.000 0.000 0.808
#> D902E43A-F384-432A-B690-D20BFCC78443 5 0.4099 0.31699 0.000 0.244 0.000 0.000 0.708 0.048
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.5787 0.79443 0.000 0.252 0.244 0.504 0.000 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.2361 0.71495 0.000 0.884 0.000 0.000 0.088 0.028
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 6 0.2070 0.57936 0.000 0.092 0.000 0.012 0.000 0.896
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.94186 0.000 0.000 1.000 0.000 0.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 5 0.5628 0.51988 0.088 0.000 0.000 0.360 0.528 0.024
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.0777 0.56080 0.000 0.000 0.000 0.004 0.972 0.024
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.2178 0.55957 0.000 0.000 0.000 0.132 0.868 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.5873 0.26537 0.000 0.480 0.000 0.272 0.000 0.248
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 6 0.4170 0.33861 0.000 0.008 0.000 0.192 0.060 0.740
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0777 0.85691 0.972 0.000 0.000 0.024 0.000 0.004
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 6 0.3123 0.59245 0.000 0.136 0.000 0.000 0.040 0.824
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.4191 0.74717 0.704 0.000 0.000 0.240 0.056 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.5936 0.67889 0.000 0.356 0.108 0.504 0.000 0.032
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.4809 0.69149 0.652 0.000 0.000 0.240 0.108 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.5787 0.79443 0.000 0.252 0.244 0.504 0.000 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 6 0.4107 0.11204 0.004 0.000 0.000 0.004 0.452 0.540
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.0603 0.56351 0.000 0.000 0.000 0.004 0.980 0.016
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.6933 0.01065 0.000 0.484 0.000 0.124 0.232 0.160
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.3454 0.79524 0.768 0.000 0.000 0.208 0.024 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.3219 0.81030 0.792 0.000 0.000 0.192 0.012 0.004
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.5787 0.79443 0.000 0.252 0.244 0.504 0.000 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.5784 0.71438 0.000 0.356 0.184 0.460 0.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0146 0.85447 0.996 0.000 0.000 0.000 0.000 0.004
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.7035 -0.08796 0.000 0.432 0.000 0.092 0.272 0.204
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0146 0.85447 0.996 0.000 0.000 0.000 0.000 0.004
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0405 0.85492 0.988 0.000 0.000 0.008 0.000 0.004
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0790 0.77983 0.000 0.968 0.000 0.000 0.000 0.032
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.5786 0.78277 0.000 0.240 0.256 0.504 0.000 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.1480 0.57514 0.000 0.000 0.000 0.040 0.940 0.020
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.2697 0.62504 0.000 0.812 0.000 0.000 0.000 0.188
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0146 0.85447 0.996 0.000 0.000 0.000 0.000 0.004
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.5702 0.57081 0.548 0.000 0.000 0.216 0.232 0.004
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.5787 0.79443 0.000 0.252 0.244 0.504 0.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.1858 0.84927 0.904 0.000 0.000 0.092 0.004 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.5669 0.75423 0.000 0.320 0.176 0.504 0.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.2812 0.58334 0.000 0.000 0.000 0.096 0.856 0.048
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.5787 0.79443 0.000 0.252 0.244 0.504 0.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.1814 0.82752 0.000 0.000 0.900 0.100 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.2793 0.60850 0.000 0.800 0.000 0.000 0.000 0.200
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.94186 0.000 0.000 1.000 0.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.5396 0.56671 0.000 0.000 0.000 0.292 0.560 0.148
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0146 0.85447 0.996 0.000 0.000 0.000 0.000 0.004
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.2203 0.84233 0.896 0.000 0.000 0.084 0.016 0.004
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 6 0.3907 0.28180 0.000 0.408 0.000 0.004 0.000 0.588
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.94186 0.000 0.000 1.000 0.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 6 0.5146 0.13154 0.000 0.000 0.000 0.236 0.148 0.616
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.4648 -0.36634 0.000 0.496 0.000 0.464 0.000 0.040
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0146 0.85447 0.996 0.000 0.000 0.000 0.000 0.004
#> C543A527-3E25-4389-9722-E9325C733243 2 0.3428 0.47686 0.000 0.696 0.000 0.000 0.000 0.304
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.5781 0.79470 0.000 0.264 0.232 0.504 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 6 0.5700 0.43178 0.000 0.324 0.000 0.132 0.012 0.532
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.4061 0.58027 0.000 0.000 0.000 0.248 0.708 0.044
#> 896B5096-D888-4DC3-9C70-152BDE083E26 6 0.3979 0.16894 0.000 0.456 0.000 0.004 0.000 0.540
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 6 0.2113 0.48734 0.000 0.008 0.000 0.032 0.048 0.912
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.4097 0.44020 0.000 0.488 0.008 0.504 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0260 0.85366 0.992 0.000 0.000 0.000 0.000 0.008
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0146 0.85447 0.996 0.000 0.000 0.000 0.000 0.004
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.1732 0.85235 0.920 0.000 0.000 0.072 0.004 0.004
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0146 0.85447 0.996 0.000 0.000 0.000 0.000 0.004
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.1155 0.85641 0.956 0.000 0.000 0.036 0.004 0.004
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.1765 0.74167 0.000 0.904 0.000 0.000 0.000 0.096
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.1501 0.74738 0.000 0.924 0.000 0.000 0.000 0.076
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.3756 0.29793 0.000 0.600 0.000 0.000 0.000 0.400
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.5982 0.16939 0.000 0.436 0.000 0.316 0.000 0.248
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.1075 0.76878 0.000 0.952 0.000 0.000 0.048 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.2823 0.61007 0.000 0.796 0.000 0.000 0.000 0.204
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0260 0.79114 0.000 0.992 0.000 0.008 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0632 0.77952 0.000 0.976 0.024 0.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.6014 0.46006 0.000 0.000 0.000 0.280 0.432 0.288
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 6 0.2867 0.58588 0.000 0.112 0.000 0.000 0.040 0.848
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.3074 0.80934 0.792 0.000 0.000 0.200 0.004 0.004
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.94186 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.3547 0.43204 0.000 0.668 0.000 0.000 0.000 0.332
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.5787 0.79443 0.000 0.252 0.244 0.504 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.3806 0.36354 0.000 0.200 0.000 0.000 0.752 0.048
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.79652 0.000 1.000 0.000 0.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.94186 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17630 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 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.990 0.996 0.4894 0.511 0.511
#> 3 3 1.000 0.953 0.973 0.3309 0.819 0.651
#> 4 4 0.853 0.825 0.906 0.0795 0.917 0.771
#> 5 5 0.817 0.769 0.840 0.0593 0.951 0.842
#> 6 6 0.879 0.891 0.919 0.0533 0.923 0.729
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9978 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9927 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9978 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9978 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.9978 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9978 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.9927 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9927 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.9978 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9978 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9927 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9927 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9927 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9978 0.000 1.000
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.9978 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9978 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.9978 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9927 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 1 0.2423 0.9539 0.960 0.040
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9927 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9978 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.9978 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9927 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9927 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.9978 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9978 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.9978 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9927 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.9978 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.0000 0.9978 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9927 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 1 0.0000 0.9927 1.000 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9927 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.9978 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9927 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.9978 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9978 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.9927 1.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9978 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.9978 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.9978 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.9978 0.000 1.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.3274 0.9349 0.060 0.940
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9927 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.9927 1.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0000 0.9978 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.9978 0.000 1.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.9978 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9927 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9927 1.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.0000 0.9927 1.000 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.9978 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.9978 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.9978 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0000 0.9978 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9978 0.000 1.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.9978 0.000 1.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.9978 0.000 1.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9927 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9927 1.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.9978 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 1 0.0000 0.9927 1.000 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9978 0.000 1.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.9978 0.000 1.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.9978 0.000 1.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.9978 0.000 1.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0000 0.9978 0.000 1.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.9978 0.000 1.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.0000 0.9978 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9927 1.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.9927 1.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.9978 0.000 1.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9927 1.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9978 0.000 1.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9927 1.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.0000 0.9978 0.000 1.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9927 1.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.9978 0.000 1.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.9978 0.000 1.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.9927 1.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.0000 0.9978 0.000 1.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.9927 1.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.0000 0.9927 1.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.9978 0.000 1.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0000 0.9978 0.000 1.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.9978 0.000 1.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 2 0.0000 0.9978 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.0000 0.9927 1.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.9978 0.000 1.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 1 0.0000 0.9927 1.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.9978 0.000 1.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 1 0.0000 0.9927 1.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.9978 0.000 1.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0000 0.9978 0.000 1.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.9927 1.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.0000 0.9978 0.000 1.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 1 0.0000 0.9927 1.000 0.000
#> 9ECB653A-A04F-457C-92FC-D13424511A47 1 0.0000 0.9927 1.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.9927 1.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.9978 0.000 1.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.7453 0.7297 0.212 0.788
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.9927 1.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.9927 1.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.0000 0.9978 0.000 1.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.0000 0.9978 0.000 1.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.9978 0.000 1.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.9978 0.000 1.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.9978 0.000 1.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.0000 0.9978 0.000 1.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.9927 1.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.9927 1.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 2 0.0000 0.9978 0.000 1.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 2 0.0000 0.9978 0.000 1.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.9927 1.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.9927 1.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.9927 1.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0000 0.9978 0.000 1.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 2 0.0000 0.9978 0.000 1.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 2 0.0000 0.9978 0.000 1.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 2 0.0000 0.9978 0.000 1.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.0000 0.9927 1.000 0.000
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.0000 0.9927 1.000 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.0000 0.9927 1.000 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.0000 0.9978 0.000 1.000
#> 113340B4-B092-4B8C-8A13-5932525B0C33 1 0.0000 0.9927 1.000 0.000
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 2 0.0000 0.9978 0.000 1.000
#> 25B5E54F-5858-454C-9B23-440A82450912 1 0.9983 0.0973 0.524 0.476
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 2 0.0000 0.9978 0.000 1.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0000 0.9927 1.000 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.0000 0.9927 1.000 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.0000 0.9927 1.000 0.000
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 2 0.0000 0.9978 0.000 1.000
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0000 0.9927 1.000 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.0000 0.9978 0.000 1.000
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#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 2 0.0000 0.9978 0.000 1.000
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 1 0.0000 0.9927 1.000 0.000
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.0000 0.9927 1.000 0.000
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 2 0.0000 0.9978 0.000 1.000
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#> A4821960-9921-4B07-98CE-C4FDCA15146D 1 0.0000 0.9927 1.000 0.000
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#> 2482156E-29A8-4B6B-91BD-219EAC9229B5 2 0.0000 0.9978 0.000 1.000
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#> C584D193-A7DD-43B1-93ED-C46F4E3313F0 2 0.0000 0.9978 0.000 1.000
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#> A5D67B9F-5558-48FC-81A3-642D1903DA1F 2 0.0000 0.9978 0.000 1.000
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#> 53B31ABD-AD68-4A44-A525-23FD413115D5 1 0.0000 0.9927 1.000 0.000
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#> 69A8CCB7-91F2-475C-8A31-64CD4E075090 2 0.0000 0.9978 0.000 1.000
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#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.9978 0.000 1.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 2 0.0000 0.9978 0.000 1.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 2 0.0000 0.9978 0.000 1.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.9927 1.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 2 0.0000 0.9978 0.000 1.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.9927 1.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.0000 0.9927 1.000 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 1 0.0000 0.9927 1.000 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.9927 1.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.9927 1.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 1 0.0000 0.9927 1.000 0.000
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.9927 1.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.9978 0.000 1.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0000 0.9978 0.000 1.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.3879 0.9152 0.924 0.076
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0000 0.9978 0.000 1.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.9927 1.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 2 0.0000 0.9978 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.9927 1.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.9978 0.000 1.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.9978 0.000 1.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 2 0.0000 0.9978 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.0000 0.9978 0.000 1.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.9978 0.000 1.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.0000 0.9978 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 2 0.0000 0.9978 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.0000 0.9978 0.000 1.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 2 0.0000 0.9978 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.0000 0.9927 1.000 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 2 0.0000 0.9978 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.0000 0.9978 0.000 1.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0000 0.9978 0.000 1.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0000 0.9978 0.000 1.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9927 1.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.0000 0.9978 0.000 1.000
#> D902E43A-F384-432A-B690-D20BFCC78443 1 0.1414 0.9739 0.980 0.020
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0000 0.9978 0.000 1.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.9978 0.000 1.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 1 0.9732 0.3276 0.596 0.404
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.0000 0.9978 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9927 1.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.9927 1.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9927 1.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0000 0.9978 0.000 1.000
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.0000 0.9927 1.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9927 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.8267 0.6459 0.260 0.740
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9927 1.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0000 0.9978 0.000 1.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9927 1.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.9978 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.0000 0.9927 1.000 0.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.9927 1.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 1 0.4562 0.8917 0.904 0.096
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9927 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.9978 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9927 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.9978 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.0000 0.9978 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9927 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 1 0.0000 0.9927 1.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9927 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.9978 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9927 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.9978 0.000 1.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.0000 0.9978 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.9927 1.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9978 0.000 1.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9927 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9927 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0000 0.9978 0.000 1.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9927 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.9978 0.000 1.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.9978 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9927 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.9978 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.0000 0.9978 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.9978 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.0000 0.9978 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9927 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9927 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.9978 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9927 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9978 0.000 1.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.9978 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9927 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.9978 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9927 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9978 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.9978 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.0000 0.9978 0.000 1.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9927 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9978 0.000 1.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.0000 0.9927 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.9978 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9927 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9927 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9927 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9978 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9927 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9927 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9978 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9978 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9978 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9978 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.9978 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.9978 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9978 0.000 1.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9978 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9978 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9978 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.9978 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9927 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 1 0.0000 0.9927 1.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9927 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.9978 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9978 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.9978 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 1 0.1633 0.9700 0.976 0.024
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9978 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.9978 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.1860 0.9512 0.000 0.948 0.052
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9933 1.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.1860 0.9512 0.000 0.948 0.052
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.6274 0.1965 0.000 0.544 0.456
#> CA366342-0949-4941-8AE6-984BAF032886 3 0.1163 0.9661 0.000 0.028 0.972
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.1860 0.9512 0.000 0.948 0.052
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.1163 0.9702 0.972 0.028 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9933 1.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9683 0.000 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.1860 0.9512 0.000 0.948 0.052
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9933 1.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9933 1.000 0.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9933 1.000 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.9409 0.000 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.0000 0.9683 0.000 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.1860 0.9512 0.000 0.948 0.052
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 3 0.1163 0.9661 0.000 0.028 0.972
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9933 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.1031 0.9353 0.000 0.976 0.024
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9933 1.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9409 0.000 1.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9683 0.000 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9933 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9933 1.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.1031 0.9664 0.000 0.024 0.976
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.1860 0.9512 0.000 0.948 0.052
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.9683 0.000 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9933 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 3 0.0237 0.9680 0.000 0.004 0.996
#> A3153235-3128-40AC-9371-AFA1F61E3E59 3 0.1163 0.9661 0.000 0.028 0.972
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9933 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 1 0.2050 0.9529 0.952 0.028 0.020
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9933 1.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.1031 0.9664 0.000 0.024 0.976
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9933 1.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 3 0.1163 0.9661 0.000 0.028 0.972
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.1860 0.9512 0.000 0.948 0.052
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.9933 1.000 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.1860 0.9512 0.000 0.948 0.052
#> 19EBA5E0-D299-4166-834A-256294572121 3 0.1163 0.9661 0.000 0.028 0.972
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9683 0.000 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 3 0.5926 0.4546 0.000 0.356 0.644
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.3045 0.9321 0.020 0.916 0.064
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9933 1.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.9933 1.000 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.0000 0.9683 0.000 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 3 0.6095 0.3484 0.000 0.392 0.608
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 3 0.0237 0.9680 0.000 0.004 0.996
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9933 1.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9933 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.3181 0.9154 0.912 0.064 0.024
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 3 0.1163 0.9661 0.000 0.028 0.972
#> D35E148D-0537-4186-8B19-17915782AF18 3 0.1163 0.9661 0.000 0.028 0.972
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 3 0.1163 0.9661 0.000 0.028 0.972
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.1031 0.9664 0.000 0.024 0.976
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.1860 0.9512 0.000 0.948 0.052
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 3 0.1964 0.9246 0.000 0.056 0.944
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 3 0.1163 0.9661 0.000 0.028 0.972
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9933 1.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9933 1.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 3 0.1163 0.9661 0.000 0.028 0.972
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 1 0.3253 0.9162 0.912 0.052 0.036
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#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9933 1.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.1860 0.9240 0.000 0.052 0.948
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.2860 0.8938 0.084 0.912 0.004
#> D5E8379B-621C-4551-9B13-E63B1B068488 3 0.1163 0.9661 0.000 0.028 0.972
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.1860 0.9512 0.000 0.948 0.052
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.1031 0.9353 0.000 0.976 0.024
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.9683 0.000 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9933 1.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.9933 1.000 0.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9933 1.000 0.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 3 0.0592 0.9642 0.000 0.012 0.988
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.1163 0.9702 0.972 0.028 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9933 1.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 3 0.3356 0.8934 0.036 0.056 0.908
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9933 1.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 3 0.1163 0.9661 0.000 0.028 0.972
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9933 1.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 3 0.1163 0.9661 0.000 0.028 0.972
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.0000 0.9933 1.000 0.000 0.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.9933 1.000 0.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0892 0.9369 0.020 0.980 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9933 1.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.1860 0.9512 0.000 0.948 0.052
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9933 1.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 3 0.1163 0.9661 0.000 0.028 0.972
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0000 0.9683 0.000 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9933 1.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0747 0.9364 0.016 0.984 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9933 1.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.1860 0.9512 0.000 0.948 0.052
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9933 1.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.3619 0.8889 0.000 0.864 0.136
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.1031 0.9664 0.000 0.024 0.976
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.9933 1.000 0.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.9409 0.000 1.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9933 1.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9933 1.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.1031 0.9664 0.000 0.024 0.976
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9933 1.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 3 0.1031 0.9664 0.000 0.024 0.976
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 3 0.1163 0.9661 0.000 0.028 0.972
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9933 1.000 0.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 3 0.1163 0.9661 0.000 0.028 0.972
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9683 0.000 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.1031 0.9353 0.000 0.976 0.024
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9683 0.000 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9933 1.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9933 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.1860 0.9512 0.000 0.948 0.052
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9933 1.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.1031 0.9353 0.000 0.976 0.024
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9683 0.000 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9933 1.000 0.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 3 0.1163 0.9661 0.000 0.028 0.972
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9933 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.1031 0.9353 0.000 0.976 0.024
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 3 0.1163 0.9661 0.000 0.028 0.972
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.1163 0.9334 0.000 0.972 0.028
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9933 1.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.1031 0.9353 0.000 0.976 0.024
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.1163 0.9702 0.972 0.028 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 3 0.1163 0.9661 0.000 0.028 0.972
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9933 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9933 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9933 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.1860 0.9512 0.000 0.948 0.052
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9933 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9933 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.1964 0.9498 0.000 0.944 0.056
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.1860 0.9512 0.000 0.948 0.052
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9409 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.1860 0.9512 0.000 0.948 0.052
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.1643 0.9409 0.000 0.956 0.044
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 3 0.0237 0.9680 0.000 0.004 0.996
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.1860 0.9512 0.000 0.948 0.052
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.1860 0.9512 0.000 0.948 0.052
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.1031 0.9353 0.000 0.976 0.024
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.1860 0.9512 0.000 0.948 0.052
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0000 0.9683 0.000 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9933 1.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 1 0.3589 0.9035 0.900 0.052 0.048
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9933 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9683 0.000 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9409 0.000 1.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 3 0.1163 0.9661 0.000 0.028 0.972
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 1 0.3896 0.8420 0.864 0.128 0.008
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1860 0.9512 0.000 0.948 0.052
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9683 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.4040 0.5084 0.000 0.752 0.000 0.248
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.4661 0.6940 0.000 0.348 0.000 0.652
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 3 0.1637 0.8258 0.060 0.000 0.940 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.1022 0.9673 0.968 0.000 0.032 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0376 0.8934 0.000 0.992 0.004 0.004
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 3 0.1211 0.8499 0.000 0.040 0.960 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.4916 -0.0194 0.000 0.576 0.424 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.1398 0.7720 0.000 0.040 0.004 0.956
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.4898 0.3635 0.000 0.000 0.416 0.584
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.5762 0.0773 0.000 0.608 0.040 0.352
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.1661 0.8312 0.052 0.000 0.944 0.004
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.5080 0.5742 0.000 0.420 0.004 0.576
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.1211 0.8661 0.000 0.960 0.040 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.1211 0.8661 0.000 0.960 0.040 0.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.1398 0.8642 0.000 0.956 0.040 0.004
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.4608 0.7150 0.000 0.304 0.004 0.692
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 3 0.1305 0.8389 0.036 0.000 0.960 0.004
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.4401 0.7250 0.000 0.272 0.004 0.724
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 3 0.1118 0.8286 0.000 0.000 0.964 0.036
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 3 0.1118 0.8387 0.036 0.000 0.964 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 4 0.2149 0.7072 0.000 0.088 0.000 0.912
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 3 0.1356 0.8472 0.000 0.032 0.960 0.008
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.5028 0.3979 0.000 0.004 0.400 0.596
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 3 0.1211 0.8499 0.000 0.040 0.960 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.1118 0.9640 0.964 0.000 0.036 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.4608 0.7150 0.000 0.304 0.004 0.692
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 3 0.1211 0.8499 0.000 0.040 0.960 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 3 0.1211 0.8499 0.000 0.040 0.960 0.000
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#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.1211 0.8288 0.000 0.000 0.960 0.040
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.1118 0.8684 0.000 0.964 0.036 0.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.8909 0.000 1.000 0.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 3 0.1211 0.8499 0.000 0.040 0.960 0.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.1452 0.9572 0.956 0.008 0.036 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.1022 0.9673 0.968 0.000 0.032 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 4 0.4916 0.3340 0.000 0.000 0.424 0.576
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 3 0.1637 0.8258 0.060 0.000 0.940 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 3 0.1209 0.8315 0.004 0.000 0.964 0.032
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.1305 0.9606 0.960 0.004 0.036 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0188 0.8896 0.000 0.996 0.004 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.4917 0.2158 0.008 0.656 0.336 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 4 0.4304 0.4202 0.000 0.284 0.000 0.716
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.4925 -0.0357 0.000 0.572 0.428 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 4 0.4564 0.7072 0.000 0.328 0.000 0.672
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.1118 0.9640 0.964 0.000 0.036 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 3 0.4888 0.4483 0.000 0.412 0.588 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 3 0.1211 0.8499 0.000 0.040 0.960 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.2345 0.8859 0.900 0.000 0.100 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 3 0.5055 0.5226 0.000 0.368 0.624 0.008
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 3 0.1211 0.8499 0.000 0.040 0.960 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 3 0.1211 0.8499 0.000 0.040 0.960 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 3 0.1389 0.8336 0.048 0.000 0.952 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.4855 0.6860 0.000 0.352 0.004 0.644
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.4804 0.4171 0.000 0.708 0.016 0.276
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0336 0.8899 0.000 0.992 0.008 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> 635170D3-D669-4165-B69C-9C9A246BFF11 3 0.6716 0.3567 0.000 0.404 0.504 0.092
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.5331 0.5209 0.000 0.024 0.332 0.644
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0188 0.8896 0.000 0.996 0.004 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 3 0.4855 0.4710 0.000 0.400 0.600 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 3 0.1211 0.8376 0.040 0.000 0.960 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9923 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 4 0.0000 0.7729 0.000 0.000 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 3 0.4776 0.5144 0.000 0.376 0.624 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.4800 0.7020 0.000 0.340 0.004 0.656
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.4037 0.6828 0.136 0.824 0.040 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0336 0.8959 0.000 0.992 0.000 0.008
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 4 0.0000 0.7729 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0290 0.8345 0.000 0.992 0.000 0.000 0.008
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0609 0.9540 0.980 0.000 0.000 0.000 0.020
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.1608 0.7797 0.000 0.928 0.072 0.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.5725 0.2949 0.000 0.620 0.156 0.224 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 3 0.4517 0.9539 0.012 0.000 0.600 0.000 0.388
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0609 0.9540 0.980 0.000 0.000 0.000 0.020
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.4150 0.0873 0.612 0.000 0.000 0.000 0.388
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0609 0.9540 0.980 0.000 0.000 0.000 0.020
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0703 0.8277 0.000 0.976 0.000 0.000 0.024
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.4130 0.7088 0.000 0.012 0.292 0.696 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 3 0.4238 0.9723 0.000 0.004 0.628 0.000 0.368
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0609 0.9540 0.980 0.000 0.000 0.000 0.020
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.4541 0.6402 0.000 0.752 0.112 0.000 0.136
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0162 0.9668 0.996 0.000 0.000 0.000 0.004
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.5490 0.7121 0.000 0.072 0.372 0.556 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.2377 0.7018 0.000 0.000 0.128 0.872 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.5767 0.6332 0.000 0.024 0.448 0.488 0.040
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.6127 0.3693 0.000 0.152 0.220 0.016 0.612
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.4415 0.9583 0.008 0.000 0.604 0.000 0.388
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.6107 0.7103 0.000 0.132 0.372 0.496 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0609 0.9540 0.980 0.000 0.000 0.000 0.020
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.1544 0.7835 0.000 0.932 0.068 0.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.4150 0.3157 0.000 0.388 0.000 0.000 0.612
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.4150 0.3157 0.000 0.388 0.000 0.000 0.612
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0162 0.9668 0.996 0.000 0.000 0.000 0.004
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.2329 0.7020 0.000 0.000 0.124 0.876 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.4709 0.3369 0.000 0.364 0.024 0.000 0.612
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 3 0.4276 0.9662 0.004 0.000 0.616 0.000 0.380
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 3 0.4088 0.9705 0.000 0.000 0.632 0.000 0.368
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0290 0.9639 0.992 0.000 0.000 0.000 0.008
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0510 0.9574 0.984 0.000 0.000 0.000 0.016
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 3 0.4088 0.9705 0.000 0.000 0.632 0.000 0.368
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 4 0.3274 0.4543 0.000 0.220 0.000 0.780 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 3 0.4088 0.9705 0.000 0.000 0.632 0.000 0.368
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.6858 0.6457 0.000 0.064 0.348 0.500 0.088
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
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#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.1608 0.8819 0.928 0.000 0.000 0.000 0.072
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 5 0.6323 0.5486 0.252 0.220 0.000 0.000 0.528
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 5 0.4150 0.5891 0.388 0.000 0.000 0.000 0.612
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 3 0.4238 0.9723 0.000 0.004 0.628 0.000 0.368
#> FC2F983B-2530-4886-B759-E2C571E2D068 4 0.4045 0.4644 0.000 0.356 0.000 0.644 0.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 3 0.4610 0.9486 0.016 0.000 0.596 0.000 0.388
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.1544 0.7838 0.000 0.932 0.068 0.000 0.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 5 0.6825 -0.5083 0.000 0.336 0.324 0.000 0.340
#> 72781523-C5BA-4B54-8410-E238B5F441B4 3 0.4238 0.9723 0.000 0.004 0.628 0.000 0.368
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> AE988295-3046-4778-81C5-B787CAC92268 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 4 0.2329 0.6903 0.000 0.124 0.000 0.876 0.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.3039 0.6861 0.808 0.000 0.000 0.000 0.192
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 4 0.4307 -0.3377 0.000 0.000 0.500 0.500 0.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 3 0.4238 0.9700 0.000 0.000 0.628 0.004 0.368
#> D902E43A-F384-432A-B690-D20BFCC78443 5 0.4150 0.3157 0.000 0.388 0.000 0.000 0.612
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.2329 0.7264 0.000 0.876 0.000 0.000 0.124
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 3 0.4238 0.9723 0.000 0.004 0.628 0.000 0.368
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.4150 0.5891 0.388 0.000 0.000 0.000 0.612
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.4256 -0.1213 0.564 0.000 0.000 0.000 0.436
#> 37586AAC-159B-41F9-9078-C2F7888753AC 4 0.6955 0.4686 0.000 0.024 0.240 0.500 0.236
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 3 0.4517 0.9536 0.012 0.000 0.600 0.000 0.388
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 3 0.4088 0.9705 0.000 0.000 0.632 0.000 0.368
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.0290 0.9626 0.992 0.000 0.008 0.000 0.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.4182 0.5704 0.400 0.000 0.000 0.000 0.600
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.3143 0.6506 0.000 0.796 0.000 0.000 0.204
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.3762 0.5796 0.004 0.748 0.004 0.000 0.244
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 4 0.4242 -0.1309 0.000 0.428 0.000 0.572 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.1608 0.8819 0.928 0.000 0.000 0.000 0.072
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.5391 0.4964 0.000 0.652 0.116 0.000 0.232
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 4 0.3636 0.5493 0.000 0.272 0.000 0.728 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.4294 0.4186 0.468 0.000 0.000 0.000 0.532
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.5748 0.3563 0.000 0.584 0.116 0.000 0.300
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.1043 0.8087 0.000 0.960 0.040 0.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0162 0.9668 0.996 0.000 0.000 0.000 0.004
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 3 0.4238 0.9723 0.000 0.004 0.628 0.000 0.368
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.3994 0.6162 0.772 0.000 0.040 0.000 0.188
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.6728 -0.2150 0.000 0.404 0.260 0.000 0.336
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 3 0.4517 0.9590 0.000 0.012 0.600 0.000 0.388
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 3 0.4551 0.9628 0.000 0.016 0.616 0.000 0.368
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 3 0.4238 0.9703 0.004 0.000 0.628 0.000 0.368
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0162 0.9668 0.996 0.000 0.000 0.000 0.004
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.4630 0.6027 0.000 0.736 0.176 0.000 0.088
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0162 0.8368 0.000 0.996 0.000 0.000 0.004
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.7091 0.4138 0.000 0.576 0.124 0.124 0.176
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.5895 0.7062 0.000 0.104 0.396 0.500 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0880 0.8169 0.000 0.968 0.000 0.000 0.032
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.5748 0.3563 0.000 0.584 0.116 0.000 0.300
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 4 0.0404 0.6839 0.000 0.012 0.000 0.988 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0290 0.9638 0.992 0.000 0.000 0.000 0.008
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 3 0.4088 0.9705 0.000 0.000 0.632 0.000 0.368
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9693 1.000 0.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.5952 0.3006 0.000 0.560 0.136 0.000 0.304
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.6074 0.7134 0.000 0.128 0.372 0.500 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.4894 0.3879 0.036 0.352 0.000 0.000 0.612
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.8385 0.000 1.000 0.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 4 0.0000 0.6921 0.000 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0146 0.9465 0.000 0.996 0.000 0.000 0.004 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.3394 0.7687 0.776 0.000 0.000 0.200 0.024 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0146 0.9461 0.000 0.996 0.000 0.004 0.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.1225 0.9024 0.000 0.952 0.036 0.012 0.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.3377 0.9783 0.000 0.028 0.188 0.784 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9484 0.000 1.000 0.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 6 0.3944 0.7179 0.016 0.000 0.000 0.216 0.024 0.744
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9550 1.000 0.000 0.000 0.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0000 0.9310 0.000 0.000 1.000 0.000 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9484 0.000 1.000 0.000 0.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.3301 0.7824 0.788 0.000 0.000 0.188 0.024 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.2948 0.7467 0.188 0.000 0.000 0.008 0.804 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.3202 0.7955 0.800 0.000 0.000 0.176 0.024 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.2219 0.8493 0.000 0.864 0.000 0.136 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.3428 0.8391 0.000 0.000 0.304 0.696 0.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9484 0.000 1.000 0.000 0.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.3377 0.9783 0.000 0.028 0.188 0.784 0.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9550 1.000 0.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 6 0.0000 0.8529 0.000 0.000 0.000 0.000 0.000 1.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.3202 0.7955 0.800 0.000 0.000 0.176 0.024 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.1007 0.9229 0.000 0.956 0.000 0.000 0.000 0.044
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9310 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9550 1.000 0.000 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0146 0.9531 0.996 0.000 0.000 0.000 0.004 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.3345 0.9643 0.000 0.020 0.204 0.776 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9484 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.3706 0.7046 0.000 0.000 0.380 0.620 0.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9550 1.000 0.000 0.000 0.000 0.000 0.000
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#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9550 1.000 0.000 0.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 6 0.3857 0.1361 0.000 0.468 0.000 0.000 0.000 0.532
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.3377 0.9783 0.000 0.028 0.188 0.784 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 6 0.3855 0.7288 0.000 0.012 0.000 0.216 0.024 0.748
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0790 0.9330 0.968 0.000 0.000 0.000 0.032 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 6 0.2265 0.8142 0.000 0.052 0.000 0.052 0.000 0.896
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 6 0.0000 0.8529 0.000 0.000 0.000 0.000 0.000 1.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.3377 0.9783 0.000 0.028 0.188 0.784 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9550 1.000 0.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9550 1.000 0.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9550 1.000 0.000 0.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9484 0.000 1.000 0.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9550 1.000 0.000 0.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0291 0.9511 0.992 0.000 0.000 0.004 0.004 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.1141 0.9181 0.000 0.948 0.000 0.000 0.000 0.052
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9484 0.000 1.000 0.000 0.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9484 0.000 1.000 0.000 0.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9484 0.000 1.000 0.000 0.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.4729 0.5888 0.000 0.676 0.128 0.000 0.000 0.196
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.3377 0.9510 0.000 0.000 0.188 0.784 0.000 0.028
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0458 0.9397 0.000 0.984 0.000 0.000 0.016 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9484 0.000 1.000 0.000 0.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.2454 0.8072 0.000 0.840 0.000 0.000 0.000 0.160
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9484 0.000 1.000 0.000 0.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.0865 0.8943 0.000 0.036 0.964 0.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.1700 0.9088 0.928 0.000 0.000 0.048 0.024 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 6 0.0000 0.8529 0.000 0.000 0.000 0.000 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9550 1.000 0.000 0.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9310 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.2697 0.7730 0.000 0.812 0.000 0.000 0.000 0.188
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.3377 0.9783 0.000 0.028 0.188 0.784 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.0692 0.8732 0.004 0.020 0.000 0.000 0.976 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9484 0.000 1.000 0.000 0.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9310 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17630 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 5.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.987 0.995 0.4486 0.554 0.554
#> 3 3 0.840 0.910 0.955 0.4051 0.779 0.609
#> 4 4 0.752 0.735 0.826 0.1278 0.889 0.712
#> 5 5 0.941 0.888 0.950 0.0876 0.888 0.649
#> 6 6 0.839 0.831 0.899 0.0337 0.962 0.839
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.993 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.997 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.993 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.993 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.993 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.993 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.0000 0.993 0.000 1.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.997 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.993 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.993 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.9358 0.462 0.352 0.648
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.0000 0.993 0.000 1.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.997 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.993 0.000 1.000
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.993 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.993 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.993 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.997 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.993 0.000 1.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.997 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.993 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.993 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.997 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.997 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.993 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.993 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.993 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.997 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.993 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.0000 0.993 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.997 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.0000 0.993 0.000 1.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.997 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.993 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.997 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.993 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.993 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.6531 0.796 0.832 0.168
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.993 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.993 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.993 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.993 0.000 1.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0000 0.993 0.000 1.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.997 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.997 1.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0000 0.993 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.993 0.000 1.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.993 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.997 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.997 1.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.0000 0.993 0.000 1.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.993 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.993 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.993 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0000 0.993 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.993 0.000 1.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.993 0.000 1.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.993 0.000 1.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.997 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.997 1.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.993 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0000 0.993 0.000 1.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.993 0.000 1.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.993 0.000 1.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.993 0.000 1.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.993 0.000 1.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0000 0.993 0.000 1.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.993 0.000 1.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.0000 0.993 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.997 1.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.997 1.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.993 0.000 1.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.997 1.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.993 0.000 1.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.997 1.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.0000 0.993 0.000 1.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.997 1.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.993 0.000 1.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.993 0.000 1.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.997 1.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.0000 0.993 0.000 1.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.997 1.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.0000 0.997 1.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.993 0.000 1.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0000 0.993 0.000 1.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.993 0.000 1.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 2 0.0000 0.993 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.0000 0.997 1.000 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.993 0.000 1.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.993 0.000 1.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.993 0.000 1.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.1184 0.978 0.016 0.984
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.993 0.000 1.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0000 0.993 0.000 1.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.997 1.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.0000 0.993 0.000 1.000
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#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.993 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.993 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.993 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.993 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.997 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.993 0.000 1.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.997 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.993 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.993 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.993 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.993 0.000 1.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.993 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.993 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.961 0.000 1.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.4399 0.740 0.812 0.188 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.961 0.000 1.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.961 0.000 1.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 3 0.4178 0.853 0.000 0.172 0.828
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.961 0.000 1.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.0000 0.961 0.000 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.989 1.000 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.4178 0.853 0.000 0.172 0.828
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.961 0.000 1.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.2796 0.857 0.092 0.908 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.0000 0.961 0.000 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.4931 0.673 0.768 0.232 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0000 0.961 0.000 1.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.4178 0.853 0.000 0.172 0.828
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.961 0.000 1.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.961 0.000 1.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.989 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.0000 0.961 0.000 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.989 1.000 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.961 0.000 1.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.862 0.000 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.989 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.989 1.000 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0000 0.862 0.000 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.961 0.000 1.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.4178 0.853 0.000 0.172 0.828
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.989 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.961 0.000 1.000 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.0000 0.961 0.000 1.000 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.989 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.0000 0.961 0.000 1.000 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.989 1.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.3116 0.861 0.000 0.108 0.892
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.989 1.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.961 0.000 1.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.961 0.000 1.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.3116 0.828 0.108 0.892 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.961 0.000 1.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 3 0.4974 0.807 0.000 0.236 0.764
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.862 0.000 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.961 0.000 1.000 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0000 0.961 0.000 1.000 0.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.989 1.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.989 1.000 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0000 0.961 0.000 1.000 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.961 0.000 1.000 0.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.961 0.000 1.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.989 1.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.989 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.0000 0.961 0.000 1.000 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 3 0.5016 0.802 0.000 0.240 0.760
#> D35E148D-0537-4186-8B19-17915782AF18 3 0.6126 0.529 0.000 0.400 0.600
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.1860 0.906 0.000 0.948 0.052
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.4178 0.853 0.000 0.172 0.828
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.961 0.000 1.000 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.961 0.000 1.000 0.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.961 0.000 1.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.989 1.000 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.989 1.000 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 3 0.4654 0.832 0.000 0.208 0.792
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.0000 0.961 0.000 1.000 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.961 0.000 1.000 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.961 0.000 1.000 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.961 0.000 1.000 0.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.961 0.000 1.000 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 3 0.4702 0.829 0.000 0.212 0.788
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.961 0.000 1.000 0.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.3879 0.856 0.000 0.152 0.848
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.989 1.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.989 1.000 0.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.961 0.000 1.000 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.989 1.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.961 0.000 1.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.989 1.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 3 0.4702 0.829 0.000 0.212 0.788
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.989 1.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.0000 0.961 0.000 1.000 0.000
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.961 0.000 1.000 0.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.989 1.000 0.000 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.0000 0.961 0.000 1.000 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.989 1.000 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.0000 0.989 1.000 0.000 0.000
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0000 0.961 0.000 1.000 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0000 0.961 0.000 1.000 0.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.961 0.000 1.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.862 0.000 0.000 1.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.1529 0.943 0.960 0.040 0.000
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0000 0.961 0.000 1.000 0.000
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.0000 0.961 0.000 1.000 0.000
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0000 0.961 0.000 1.000 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.0000 0.961 0.000 1.000 0.000
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.961 0.000 1.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0892 0.941 0.000 0.980 0.020
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.0000 0.989 1.000 0.000 0.000
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.1643 0.866 0.000 0.044 0.956
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 2 0.0000 0.961 0.000 1.000 0.000
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.0000 0.961 0.000 1.000 0.000
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0000 0.989 1.000 0.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.961 0.000 1.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.0000 0.961 0.000 1.000 0.000
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.989 1.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0000 0.989 1.000 0.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.6295 -0.138 0.000 0.528 0.472
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.0000 0.961 0.000 1.000 0.000
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.0000 0.961 0.000 1.000 0.000
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0000 0.961 0.000 1.000 0.000
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.961 0.000 1.000 0.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.0000 0.961 0.000 1.000 0.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0000 0.989 1.000 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0000 0.989 1.000 0.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 3 0.4178 0.853 0.000 0.172 0.828
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.5760 0.673 0.000 0.328 0.672
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0000 0.989 1.000 0.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0000 0.989 1.000 0.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0000 0.989 1.000 0.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.0000 0.961 0.000 1.000 0.000
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.862 0.000 0.000 1.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.862 0.000 0.000 1.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 3 0.4178 0.853 0.000 0.172 0.828
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.0000 0.989 1.000 0.000 0.000
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 2 0.4702 0.679 0.212 0.788 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.0000 0.989 1.000 0.000 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.0000 0.961 0.000 1.000 0.000
#> 113340B4-B092-4B8C-8A13-5932525B0C33 1 0.0000 0.989 1.000 0.000 0.000
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 3 0.5397 0.755 0.000 0.280 0.720
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.0000 0.961 0.000 1.000 0.000
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 3 0.4178 0.853 0.000 0.172 0.828
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0000 0.989 1.000 0.000 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.0000 0.989 1.000 0.000 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.0000 0.989 1.000 0.000 0.000
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 2 0.0237 0.957 0.000 0.996 0.004
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0000 0.989 1.000 0.000 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.0000 0.961 0.000 1.000 0.000
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 3 0.5591 0.720 0.000 0.304 0.696
#> A0A24949-483B-4250-B11E-2BCE49F302AC 2 0.0000 0.961 0.000 1.000 0.000
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.0000 0.989 1.000 0.000 0.000
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 2 0.0000 0.961 0.000 1.000 0.000
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 2 0.0000 0.961 0.000 1.000 0.000
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 2 0.0000 0.961 0.000 1.000 0.000
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.0000 0.989 1.000 0.000 0.000
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 2 0.0000 0.961 0.000 1.000 0.000
#> 7604968C-689A-458D-96BA-33B163B238F8 2 0.0000 0.961 0.000 1.000 0.000
#> 2E040577-EA0C-4876-9F43-A180DA38F733 1 0.0000 0.989 1.000 0.000 0.000
#> 9C30E1C0-1ADE-460B-B53D-297CCA80C071 3 0.4178 0.853 0.000 0.172 0.828
#> 4FE5EDE2-7790-4A75-9BB6-93260A8154A0 2 0.0000 0.961 0.000 1.000 0.000
#> A4821960-9921-4B07-98CE-C4FDCA15146D 1 0.0000 0.989 1.000 0.000 0.000
#> 8DA59514-8B25-493E-B226-818F2521B5D5 1 0.0000 0.989 1.000 0.000 0.000
#> C9EE359E-2F42-4D20-880D-FBF8B4953731 1 0.0000 0.989 1.000 0.000 0.000
#> F90967A5-96C6-4669-BCFB-0C51F539B0E7 2 0.0000 0.961 0.000 1.000 0.000
#> 2482156E-29A8-4B6B-91BD-219EAC9229B5 3 0.4346 0.847 0.000 0.184 0.816
#> 4EA4A8AE-581A-4170-8062-99645CB41337 1 0.0000 0.989 1.000 0.000 0.000
#> C584D193-A7DD-43B1-93ED-C46F4E3313F0 2 0.0000 0.961 0.000 1.000 0.000
#> 2FBF997D-B138-4BB4-B51E-81CEF9C0C8A3 2 0.5706 0.423 0.000 0.680 0.320
#> 0AF0D126-507C-4DE1-B9A2-A1B8F0A089FB 2 0.0000 0.961 0.000 1.000 0.000
#> 077523A7-E1C9-4E9F-8C9F-B9F647B4DF7C 3 0.0000 0.862 0.000 0.000 1.000
#> 32CED7C6-C413-4B5C-8A49-8AA2C97E582D 3 0.0000 0.862 0.000 0.000 1.000
#> 66FF1C46-83F0-4EEC-9871-448C8C7EA3AE 1 0.0000 0.989 1.000 0.000 0.000
#> 89BE4270-8300-424E-A248-A0B00C3F5C1A 2 0.0000 0.961 0.000 1.000 0.000
#> 0F8BE394-BA6A-401C-87D0-9B3CF50FB0C8 2 0.0000 0.961 0.000 1.000 0.000
#> 008AE101-874B-4EB6-B811-3945E5ECCFD9 2 0.0000 0.961 0.000 1.000 0.000
#> 67B5E93E-6F06-4247-86DD-A914279EFFC5 3 0.5254 0.774 0.000 0.264 0.736
#> 1E2D87A6-48B8-47FA-A801-AFEA7E01E829 3 0.0000 0.862 0.000 0.000 1.000
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#> 913D6292-6507-4F86-A120-137CEACE5C9F 2 0.0000 0.961 0.000 1.000 0.000
#> F35F85A8-B3CD-4116-990F-94B2E432F902 2 0.0000 0.961 0.000 1.000 0.000
#> EEE5E45B-D2E3-4CFA-AC5F-8AE1EC2CB61C 3 0.5254 0.776 0.000 0.264 0.736
#> 7B6D13EE-FE13-4BA8-BA65-1A10307A7936 3 0.0000 0.862 0.000 0.000 1.000
#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.0000 0.961 0.000 1.000 0.000
#> A130FABA-F55F-412D-940E-7305057B4D1A 2 0.0000 0.961 0.000 1.000 0.000
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 2 0.0000 0.961 0.000 1.000 0.000
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 1 0.0000 0.989 1.000 0.000 0.000
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 1 0.0000 0.989 1.000 0.000 0.000
#> E3887082-4C43-426C-8580-ECAA4EFEC577 2 0.0000 0.961 0.000 1.000 0.000
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 1 0.4121 0.773 0.832 0.168 0.000
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 3 0.0000 0.862 0.000 0.000 1.000
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 3 0.6215 0.467 0.000 0.428 0.572
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 2 0.0000 0.961 0.000 1.000 0.000
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 1 0.6154 0.307 0.592 0.408 0.000
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.0000 0.989 1.000 0.000 0.000
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 3 0.0000 0.862 0.000 0.000 1.000
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.0000 0.989 1.000 0.000 0.000
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 2 0.3619 0.790 0.136 0.864 0.000
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 2 0.0000 0.961 0.000 1.000 0.000
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.0000 0.989 1.000 0.000 0.000
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0000 0.961 0.000 1.000 0.000
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 3 0.0000 0.862 0.000 0.000 1.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 3 0.6126 0.359 0.000 0.400 0.600
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.0000 0.961 0.000 1.000 0.000
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.0000 0.989 1.000 0.000 0.000
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.0000 0.989 1.000 0.000 0.000
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 3 0.4702 0.829 0.000 0.212 0.788
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 1 0.1643 0.937 0.956 0.044 0.000
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 2 0.4399 0.713 0.000 0.812 0.188
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0000 0.989 1.000 0.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.0000 0.989 1.000 0.000 0.000
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.989 1.000 0.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0000 0.961 0.000 1.000 0.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0000 0.862 0.000 0.000 1.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0000 0.862 0.000 0.000 1.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0000 0.961 0.000 1.000 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0000 0.862 0.000 0.000 1.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0000 0.862 0.000 0.000 1.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.0000 0.989 1.000 0.000 0.000
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0000 0.862 0.000 0.000 1.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.989 1.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.0000 0.989 1.000 0.000 0.000
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.0000 0.961 0.000 1.000 0.000
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.0000 0.989 1.000 0.000 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.989 1.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 2 0.0000 0.961 0.000 1.000 0.000
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.0000 0.989 1.000 0.000 0.000
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0000 0.961 0.000 1.000 0.000
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0000 0.961 0.000 1.000 0.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 2 0.0000 0.961 0.000 1.000 0.000
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0000 0.961 0.000 1.000 0.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.989 1.000 0.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.862 0.000 0.000 1.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.989 1.000 0.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0000 0.961 0.000 1.000 0.000
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0000 0.961 0.000 1.000 0.000
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.862 0.000 0.000 1.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.4702 0.829 0.000 0.212 0.788
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.961 0.000 1.000 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 3 0.4178 0.853 0.000 0.172 0.828
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.862 0.000 0.000 1.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.4605 0.834 0.000 0.204 0.796
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.862 0.000 0.000 1.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 2 0.5835 0.480 0.340 0.660 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.862 0.000 0.000 1.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.4702 0.673 0.000 0.788 0.212
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0000 0.961 0.000 1.000 0.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 3 0.4504 0.839 0.000 0.196 0.804
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.989 1.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.4399 0.710 0.000 0.812 0.188
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.0000 0.961 0.000 1.000 0.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 3 0.6168 0.500 0.000 0.412 0.588
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0000 0.961 0.000 1.000 0.000
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.0000 0.961 0.000 1.000 0.000
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.862 0.000 0.000 1.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.989 1.000 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 2 0.1529 0.915 0.040 0.960 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.989 1.000 0.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.5178 0.584 0.000 0.744 0.256
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.0000 0.961 0.000 1.000 0.000
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.989 1.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.0000 0.961 0.000 1.000 0.000
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.989 1.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 3 0.5291 0.769 0.000 0.268 0.732
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.989 1.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 3 0.4178 0.853 0.000 0.172 0.828
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.4654 0.693 0.208 0.792 0.000
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.989 1.000 0.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.0000 0.961 0.000 1.000 0.000
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.989 1.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.961 0.000 1.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.989 1.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 3 0.4974 0.807 0.000 0.236 0.764
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.4702 0.829 0.000 0.212 0.788
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.989 1.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0000 0.961 0.000 1.000 0.000
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.989 1.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.961 0.000 1.000 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.989 1.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.961 0.000 1.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.0000 0.862 0.000 0.000 1.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.989 1.000 0.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.961 0.000 1.000 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.989 1.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.989 1.000 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.4178 0.853 0.000 0.172 0.828
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.989 1.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.961 0.000 1.000 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.5948 0.309 0.000 0.640 0.360
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.6008 0.411 0.628 0.372 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 3 0.5016 0.802 0.000 0.240 0.760
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.862 0.000 0.000 1.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.961 0.000 1.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.862 0.000 0.000 1.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.989 1.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.989 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.961 0.000 1.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.989 1.000 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.961 0.000 1.000 0.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.862 0.000 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.0747 0.945 0.016 0.984 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.961 0.000 1.000 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.989 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.961 0.000 1.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 3 0.4702 0.829 0.000 0.212 0.788
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.0000 0.961 0.000 1.000 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.989 1.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.961 0.000 1.000 0.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.0000 0.961 0.000 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0892 0.941 0.000 0.980 0.020
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.989 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.989 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.989 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.961 0.000 1.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.989 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.989 1.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.961 0.000 1.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.961 0.000 1.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.961 0.000 1.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.961 0.000 1.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.961 0.000 1.000 0.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.961 0.000 1.000 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.961 0.000 1.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.961 0.000 1.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.961 0.000 1.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.961 0.000 1.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0237 0.957 0.000 0.996 0.004
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0237 0.984 0.996 0.004 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0000 0.961 0.000 1.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.989 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.862 0.000 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.961 0.000 1.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 3 0.4702 0.829 0.000 0.212 0.788
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0000 0.961 0.000 1.000 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.961 0.000 1.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.862 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.4936 -0.1508 0.624 0.372 0.000 0.004
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.4961 0.5026 0.000 0.000 0.448 0.552
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.5050 0.5332 0.408 0.588 0.000 0.004
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.3172 0.6092 0.000 0.160 0.840 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.5126 0.5050 0.444 0.552 0.000 0.004
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.5126 0.5050 0.444 0.552 0.000 0.004
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.4905 -0.1281 0.632 0.364 0.000 0.004
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.6920 0.6538 0.000 0.132 0.316 0.552
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.4961 0.5475 0.000 0.448 0.000 0.552
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.4955 0.8364 0.556 0.000 0.000 0.444
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#> B66ECF23-8CB2-4C95-8E3D-AA63A494F4A0 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> A130FABA-F55F-412D-940E-7305057B4D1A 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 3E605854-CC65-4951-8EDB-235FD21FD71F 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 91E04630-B2A7-448E-8C80-580818C9D7E6 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 633064DB-D3ED-4B5F-B48F-6924AD719647 1 0.1211 0.6477 0.960 0.000 0.000 0.040
#> E3887082-4C43-426C-8580-ECAA4EFEC577 2 0.1637 0.8240 0.060 0.940 0.000 0.000
#> 1F4CD8D0-E2FD-45AA-8CE2-8C0488916778 1 0.0188 0.6202 0.996 0.000 0.000 0.004
#> 9E2420C3-FD2A-45BB-B5A3-DC25D9F7CB3C 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> 7465EA24-534F-45A3-8CD3-AD985E574BFF 4 0.7193 0.6898 0.000 0.240 0.208 0.552
#> C81B24AB-2DBA-4624-A1D4-D4DCAC714506 4 0.4961 0.5475 0.000 0.448 0.000 0.552
#> 261EAE5F-1B79-4324-84F6-1B0DDDA9B7B5 1 0.5158 -0.4033 0.524 0.472 0.000 0.004
#> 569BCFB6-7B4D-459A-962A-4C148889CE2C 1 0.3764 0.7364 0.784 0.000 0.000 0.216
#> 3A2D0D6F-66C3-48EE-9EA4-68668FF9B043 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> 825AC0F8-4D16-4109-AA6A-4648934E3C35 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 3F932445-1D8F-4128-A8DA-F36EA9F6E745 2 0.5126 0.5050 0.444 0.552 0.000 0.004
#> 46AD8592-A823-48DA-AB51-3CEC34F53E04 4 0.4961 0.5475 0.000 0.448 0.000 0.552
#> 8D986787-7BD1-4F66-837E-88CD2A4CEA68 1 0.3219 0.7113 0.836 0.000 0.000 0.164
#> CA985B0C-E8F9-4682-ABAF-A0E482F7DF72 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> 0A4681EC-A57A-45CD-BB97-3E90A8CDECDD 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> 61496AD6-7265-4D58-87CC-4FEE9723106E 1 0.7469 -0.3068 0.444 0.152 0.400 0.004
#> 7C225672-8372-4202-A749-3D8E9A0747CC 2 0.0188 0.8622 0.000 0.996 0.000 0.004
#> 726D58A7-23E0-492A-B5CE-15DCB11B0C90 1 0.4103 0.7553 0.744 0.000 0.000 0.256
#> F9A39954-57EB-4A3F-97A0-1801B08BBD53 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 2 0.4008 0.5413 0.000 0.756 0.244 0.000
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 1 0.3402 0.4190 0.832 0.164 0.000 0.004
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 4 0.6990 0.6591 0.000 0.304 0.144 0.552
#> 2F382D6A-B26F-450A-A156-9407D14538CD 1 0.0000 0.6234 1.000 0.000 0.000 0.000
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.4948 0.8351 0.560 0.000 0.000 0.440
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.1211 0.6477 0.960 0.000 0.000 0.040
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 1 0.0188 0.6202 0.996 0.000 0.000 0.004
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 2 0.5105 0.5146 0.432 0.564 0.000 0.004
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 2 0.5126 0.5050 0.444 0.552 0.000 0.004
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 2 0.3355 0.7380 0.160 0.836 0.000 0.004
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.4072 0.5202 0.000 0.748 0.252 0.000
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 4 0.4961 0.5026 0.000 0.000 0.448 0.552
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.7796 -0.2385 0.000 0.292 0.424 0.284
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 2 0.5126 0.5050 0.444 0.552 0.000 0.004
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.4961 0.5475 0.000 0.448 0.000 0.552
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.4961 0.5026 0.000 0.000 0.448 0.552
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.5792 0.5493 0.000 0.032 0.416 0.552
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.1305 0.8396 0.036 0.960 0.000 0.004
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.4948 0.8351 0.560 0.000 0.000 0.440
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 2 0.5126 0.5050 0.444 0.552 0.000 0.004
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.6234 1.000 0.000 0.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 4 0.7149 0.6794 0.000 0.264 0.184 0.552
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.5126 0.5050 0.444 0.552 0.000 0.004
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 1 0.7688 -0.2864 0.440 0.232 0.000 0.328
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.7176 0.6938 0.000 0.196 0.252 0.552
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.4961 0.5026 0.000 0.000 0.448 0.552
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.4781 -0.0389 0.660 0.336 0.000 0.004
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0336 0.6234 0.992 0.000 0.000 0.008
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.1004 0.8487 0.024 0.972 0.000 0.004
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.5550 0.5335 0.000 0.020 0.428 0.552
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 4 0.7205 0.6931 0.000 0.200 0.252 0.548
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.4961 0.5026 0.000 0.000 0.448 0.552
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0188 0.6202 0.996 0.000 0.000 0.004
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.4961 0.5026 0.000 0.000 0.448 0.552
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.7201 0.6935 0.000 0.224 0.224 0.552
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.1902 0.5501 0.932 0.064 0.000 0.004
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.7138 0.6892 0.000 0.180 0.268 0.552
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.6234 1.000 0.000 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.5126 0.5050 0.444 0.552 0.000 0.004
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.4961 0.5475 0.000 0.448 0.000 0.552
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.7176 0.6938 0.000 0.196 0.252 0.552
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.6234 1.000 0.000 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.5119 0.5081 0.440 0.556 0.000 0.004
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.5360 0.5659 0.000 0.436 0.012 0.552
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0188 0.8650 0.000 0.996 0.000 0.004
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.4961 0.5475 0.000 0.448 0.000 0.552
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0469 0.8571 0.000 0.988 0.012 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0524 0.6127 0.988 0.008 0.000 0.004
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.5119 0.5081 0.440 0.556 0.000 0.004
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.4955 0.8364 0.556 0.000 0.000 0.444
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9193 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.6061 0.5671 0.000 0.048 0.400 0.552
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.0376 0.8629 0.004 0.992 0.000 0.004
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.8656 0.000 1.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9193 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.3690 0.6469 0.000 0.224 0.000 0.012 0.764
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0609 0.9527 0.000 0.000 0.020 0.980 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.4547 0.3010 0.000 0.588 0.000 0.012 0.400
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0324 0.9620 0.992 0.000 0.004 0.004 0.000
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#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.0566 0.9428 0.000 0.984 0.000 0.012 0.004
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.0162 0.8927 0.004 0.000 0.000 0.000 0.996
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0566 0.9428 0.000 0.984 0.000 0.012 0.004
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 5 0.1444 0.8680 0.000 0.040 0.000 0.012 0.948
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0609 0.9537 0.000 0.020 0.000 0.980 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0324 0.9620 0.992 0.000 0.004 0.004 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9633 1.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9633 1.000 0.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0324 0.9620 0.992 0.000 0.004 0.004 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9633 1.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0566 0.9428 0.000 0.984 0.000 0.012 0.004
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0963 0.9457 0.000 0.036 0.000 0.964 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.0290 0.8923 0.000 0.000 0.000 0.008 0.992
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 5 0.1444 0.8680 0.000 0.040 0.000 0.012 0.948
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9633 1.000 0.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0162 0.9591 0.000 0.000 0.996 0.004 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0609 0.9527 0.000 0.000 0.020 0.980 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.1205 0.9220 0.000 0.956 0.000 0.004 0.040
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0162 0.9485 0.000 0.996 0.000 0.004 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0162 0.9591 0.000 0.000 0.996 0.004 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0865 0.8830 0.000 0.964 0.000 0.000 0.000 0.036
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.5237 0.5590 0.000 0.220 0.000 0.000 0.608 0.172
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.5779 0.2997 0.000 0.488 0.000 0.000 0.312 0.200
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 6 0.3175 0.9596 0.256 0.000 0.000 0.000 0.000 0.744
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.4184 0.3449 0.000 0.408 0.576 0.000 0.000 0.016
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.2703 0.8182 0.000 0.004 0.000 0.000 0.824 0.172
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.0146 0.8580 0.000 0.000 0.000 0.000 0.996 0.004
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.0000 0.8578 0.000 0.000 0.000 0.000 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.2562 0.8365 0.000 0.828 0.000 0.000 0.000 0.172
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.1168 0.9145 0.000 0.028 0.000 0.956 0.000 0.016
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0865 0.8830 0.000 0.964 0.000 0.000 0.000 0.036
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.1075 0.9067 0.000 0.048 0.000 0.952 0.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 6 0.3221 0.9705 0.264 0.000 0.000 0.000 0.000 0.736
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.2793 0.8246 0.000 0.800 0.000 0.000 0.000 0.200
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.1471 0.8170 0.064 0.000 0.000 0.000 0.932 0.004
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9322 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 6 0.3221 0.9705 0.264 0.000 0.000 0.000 0.000 0.736
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0937 0.8508 0.960 0.000 0.000 0.000 0.040 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.0603 0.9182 0.000 0.000 0.004 0.980 0.000 0.016
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.0458 0.9202 0.000 0.000 0.000 0.984 0.000 0.016
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.8749 1.000 0.000 0.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.2882 0.7648 0.000 0.180 0.000 0.812 0.000 0.008
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.6794 0.2494 0.000 0.484 0.000 0.224 0.212 0.080
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.2823 0.5801 0.796 0.000 0.000 0.000 0.000 0.204
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 5 0.2793 0.8087 0.000 0.000 0.000 0.000 0.800 0.200
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.8749 1.000 0.000 0.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.2664 0.6225 0.816 0.000 0.000 0.000 0.000 0.184
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.2219 0.8360 0.000 0.000 0.000 0.000 0.864 0.136
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 4 0.3738 0.5294 0.000 0.000 0.280 0.704 0.000 0.016
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0865 0.8830 0.000 0.964 0.000 0.000 0.000 0.036
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.3012 0.8277 0.000 0.796 0.000 0.000 0.008 0.196
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.8749 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 5 0.0000 0.8578 0.000 0.000 0.000 0.000 1.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0632 0.8852 0.000 0.976 0.000 0.000 0.000 0.024
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0937 0.8819 0.000 0.960 0.000 0.000 0.000 0.040
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.3288 0.5632 0.000 0.724 0.000 0.276 0.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.8749 1.000 0.000 0.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 6 0.3221 0.9705 0.264 0.000 0.000 0.000 0.000 0.736
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.4518 0.7320 0.000 0.696 0.000 0.000 0.104 0.200
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0547 0.9212 0.000 0.020 0.000 0.980 0.000 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.0458 0.9202 0.000 0.000 0.000 0.984 0.000 0.016
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0865 0.8830 0.000 0.964 0.000 0.000 0.000 0.036
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.4401 0.2151 0.000 0.464 0.000 0.512 0.000 0.024
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.2883 0.6791 0.000 0.788 0.000 0.212 0.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 5 0.0508 0.8562 0.004 0.000 0.000 0.000 0.984 0.012
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 5 0.0405 0.8569 0.008 0.000 0.000 0.000 0.988 0.004
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 5 0.3806 0.7837 0.000 0.048 0.000 0.000 0.752 0.200
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0865 0.8830 0.000 0.964 0.000 0.000 0.000 0.036
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.2793 0.8246 0.000 0.800 0.000 0.000 0.000 0.200
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.1075 0.9067 0.000 0.048 0.000 0.952 0.000 0.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0632 0.8852 0.000 0.976 0.000 0.000 0.000 0.024
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.4110 0.3140 0.000 0.608 0.376 0.000 0.000 0.016
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.8749 1.000 0.000 0.000 0.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.3110 0.7053 0.792 0.000 0.000 0.000 0.196 0.012
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.0632 0.9198 0.000 0.024 0.000 0.976 0.000 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 6 0.3747 0.7919 0.396 0.000 0.000 0.000 0.000 0.604
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.8749 1.000 0.000 0.000 0.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.0937 0.9118 0.000 0.040 0.000 0.960 0.000 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 6 0.3221 0.9705 0.264 0.000 0.000 0.000 0.000 0.736
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.2793 0.8246 0.000 0.800 0.000 0.000 0.000 0.200
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.2762 0.8271 0.000 0.804 0.000 0.000 0.000 0.196
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.3873 0.5820 0.772 0.000 0.000 0.000 0.124 0.104
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.0146 0.8905 0.000 0.996 0.000 0.004 0.000 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.3198 0.4464 0.740 0.000 0.000 0.000 0.000 0.260
#> 27875588-7C41-49BB-A4C0-A66D72A12499 5 0.1500 0.8301 0.052 0.000 0.000 0.000 0.936 0.012
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.0146 0.8912 0.000 0.996 0.000 0.000 0.000 0.004
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.9322 0.000 0.000 1.000 0.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 5 0.1075 0.8520 0.000 0.000 0.000 0.000 0.952 0.048
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.0632 0.8852 0.000 0.976 0.000 0.000 0.000 0.024
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 5 0.5501 0.5336 0.000 0.236 0.000 0.000 0.564 0.200
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.0865 0.8830 0.000 0.964 0.000 0.000 0.000 0.036
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 5 0.2793 0.8087 0.000 0.000 0.000 0.000 0.800 0.200
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 5 0.3368 0.6148 0.232 0.000 0.000 0.000 0.756 0.012
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 5 0.3107 0.7587 0.000 0.116 0.000 0.000 0.832 0.052
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.3679 0.8006 0.000 0.772 0.000 0.000 0.052 0.176
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.2969 0.6872 0.776 0.000 0.000 0.000 0.224 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 2 0.2793 0.7669 0.000 0.800 0.000 0.000 0.200 0.000
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0000 0.8749 1.000 0.000 0.000 0.000 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.3076 0.6698 0.760 0.000 0.000 0.000 0.240 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.1007 0.9093 0.000 0.044 0.000 0.956 0.000 0.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.2562 0.8433 0.000 0.828 0.000 0.000 0.000 0.172
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.2562 0.8365 0.000 0.828 0.000 0.000 0.000 0.172
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.0790 0.8847 0.000 0.968 0.000 0.000 0.000 0.032
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 6 0.3221 0.9705 0.264 0.000 0.000 0.000 0.000 0.736
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0363 0.8686 0.988 0.000 0.000 0.000 0.000 0.012
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 2 0.0458 0.8857 0.000 0.984 0.000 0.000 0.000 0.016
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#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.0865 0.8547 0.000 0.000 0.000 0.000 0.964 0.036
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.4039 0.4747 0.000 0.000 0.632 0.352 0.000 0.016
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
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#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.2562 0.8365 0.000 0.828 0.000 0.000 0.000 0.172
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9322 0.000 0.000 1.000 0.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 5 0.2793 0.8087 0.000 0.000 0.000 0.000 0.800 0.200
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.1152 0.9081 0.000 0.044 0.000 0.952 0.000 0.004
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 6 0.3409 0.9309 0.300 0.000 0.000 0.000 0.000 0.700
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.3585 0.8104 0.000 0.780 0.000 0.000 0.048 0.172
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.0000 0.8578 0.000 0.000 0.000 0.000 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.2597 0.8347 0.000 0.824 0.000 0.000 0.000 0.176
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 5 0.2793 0.8087 0.000 0.000 0.000 0.000 0.800 0.200
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 6 0.3221 0.9705 0.264 0.000 0.000 0.000 0.000 0.736
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0363 0.8664 0.988 0.000 0.000 0.000 0.000 0.012
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.8749 1.000 0.000 0.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 6 0.3717 0.8113 0.384 0.000 0.000 0.000 0.000 0.616
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.8749 1.000 0.000 0.000 0.000 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0865 0.8830 0.000 0.964 0.000 0.000 0.000 0.036
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.2416 0.8447 0.000 0.844 0.000 0.000 0.000 0.156
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.1152 0.9081 0.000 0.044 0.000 0.952 0.000 0.004
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0865 0.8830 0.000 0.964 0.000 0.000 0.000 0.036
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.1765 0.8462 0.000 0.000 0.000 0.000 0.904 0.096
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 5 0.3776 0.7861 0.000 0.048 0.000 0.000 0.756 0.196
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.8749 1.000 0.000 0.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9322 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0000 0.9275 0.000 0.000 0.000 1.000 0.000 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.3714 0.8021 0.000 0.760 0.000 0.000 0.044 0.196
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.8919 0.000 1.000 0.000 0.000 0.000 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9322 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17630 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 0.603 0.843 0.921 0.4885 0.506 0.506
#> 3 3 0.584 0.650 0.813 0.2965 0.788 0.601
#> 4 4 0.667 0.765 0.866 0.1255 0.838 0.585
#> 5 5 0.606 0.583 0.774 0.0390 0.961 0.868
#> 6 6 0.597 0.593 0.724 0.0408 0.935 0.778
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0376 0.8695 0.004 0.996
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.3431 0.9096 0.936 0.064
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.8709 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.8709 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.8709 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.8709 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.6343 0.7845 0.840 0.160
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9559 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.9522 0.5510 0.372 0.628
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.8709 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.3584 0.9060 0.932 0.068
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.3431 0.9096 0.936 0.064
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.3584 0.9060 0.932 0.068
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 1 0.9710 0.2809 0.600 0.400
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.5946 0.8048 0.144 0.856
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#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.6247 0.7740 0.156 0.844
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.7950 0.7334 0.240 0.760
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 1 0.6973 0.7405 0.812 0.188
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.2236 0.8558 0.036 0.964
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.0000 0.9559 1.000 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 2 0.8555 0.6960 0.280 0.720
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0000 0.9559 1.000 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.1633 0.8614 0.024 0.976
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.6247 0.7740 0.156 0.844
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 2 0.8555 0.6960 0.280 0.720
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 2 0.7815 0.7403 0.232 0.768
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0000 0.8709 0.000 1.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.0000 0.8709 0.000 1.000
#> AE988295-3046-4778-81C5-B787CAC92268 2 0.8555 0.6960 0.280 0.720
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 2 0.2778 0.8544 0.048 0.952
#> B11FF528-846E-4E40-9E32-E5820ECB5504 2 0.8555 0.6960 0.280 0.720
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 1 0.3584 0.9060 0.932 0.068
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 2 0.8555 0.6960 0.280 0.720
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.9896 0.3994 0.440 0.560
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.0000 0.8709 0.000 1.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.0000 0.8709 0.000 1.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9559 1.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.9896 0.3994 0.440 0.560
#> D902E43A-F384-432A-B690-D20BFCC78443 1 0.0000 0.9559 1.000 0.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.0000 0.8709 0.000 1.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.5629 0.7932 0.132 0.868
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.7056 0.7405 0.192 0.808
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 2 0.8555 0.6960 0.280 0.720
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.0000 0.9559 1.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.0000 0.9559 1.000 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.0000 0.9559 1.000 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.0376 0.8695 0.004 0.996
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 1 0.6531 0.7743 0.832 0.168
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9559 1.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.7376 0.7183 0.208 0.792
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.9559 1.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.0938 0.8665 0.012 0.988
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.9559 1.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0000 0.8709 0.000 1.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 1 0.3114 0.9115 0.944 0.056
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.0000 0.9559 1.000 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 1 0.6438 0.7900 0.836 0.164
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9559 1.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.8709 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.9559 1.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0000 0.8709 0.000 1.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.7219 0.7664 0.200 0.800
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9559 1.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 1 0.9922 0.1518 0.552 0.448
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9559 1.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0000 0.8709 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9559 1.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.8327 0.7115 0.264 0.736
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.1184 0.8662 0.016 0.984
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.0000 0.9559 1.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0000 0.8709 0.000 1.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9559 1.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.0000 0.9559 1.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.0376 0.8698 0.004 0.996
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.9559 1.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.7376 0.7604 0.208 0.792
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0000 0.8709 0.000 1.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.0000 0.9559 1.000 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0000 0.8709 0.000 1.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 2 0.8555 0.6960 0.280 0.720
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0000 0.8709 0.000 1.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 2 0.8555 0.6960 0.280 0.720
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.0000 0.9559 1.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9559 1.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0000 0.8709 0.000 1.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0000 0.9559 1.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.6247 0.7740 0.156 0.844
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.8555 0.6960 0.280 0.720
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.3584 0.9060 0.932 0.068
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.8709 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9559 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.8709 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.8709 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 1 0.9552 0.2883 0.624 0.376
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9559 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.6247 0.7740 0.156 0.844
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.7528 0.7080 0.216 0.784
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.8709 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9559 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9559 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9559 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.8709 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9559 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9559 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.8709 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.8709 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.8709 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.8709 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.8709 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.8709 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.8608 0.5858 0.284 0.716
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.8709 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.8709 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.8709 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.8555 0.6960 0.280 0.720
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.3431 0.9096 0.936 0.064
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.7528 0.7080 0.216 0.784
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9559 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.8555 0.6960 0.280 0.720
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.8709 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.8709 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 1 0.0000 0.9559 1.000 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.8709 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.8555 0.6960 0.280 0.720
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.1964 0.82379 0.000 0.944 0.056
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.6683 0.43915 0.500 0.008 0.492
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0237 0.84688 0.000 0.996 0.004
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0424 0.84560 0.000 0.992 0.008
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0592 0.84633 0.000 0.988 0.012
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0892 0.84257 0.000 0.980 0.020
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 3 0.5921 0.26392 0.212 0.032 0.756
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.3941 0.79660 0.844 0.000 0.156
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.5760 0.49373 0.000 0.328 0.672
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0424 0.84631 0.000 0.992 0.008
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 3 0.6804 -0.35745 0.460 0.012 0.528
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.7309 0.51799 0.552 0.032 0.416
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 3 0.6793 -0.33365 0.452 0.012 0.536
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 3 0.8587 0.34721 0.176 0.220 0.604
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.4555 0.58333 0.000 0.800 0.200
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0747 0.84428 0.000 0.984 0.016
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0592 0.84424 0.000 0.988 0.012
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.85988 1.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.6062 0.41436 0.000 0.616 0.384
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.6476 0.52683 0.548 0.004 0.448
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0892 0.84460 0.000 0.980 0.020
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.6192 0.52264 0.000 0.420 0.580
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.85988 1.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.2878 0.83676 0.904 0.000 0.096
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.6267 0.48611 0.000 0.452 0.548
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0424 0.84570 0.000 0.992 0.008
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.6235 0.50179 0.000 0.436 0.564
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.85988 1.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.3267 0.77120 0.000 0.884 0.116
#> A3153235-3128-40AC-9371-AFA1F61E3E59 1 0.6404 0.65192 0.644 0.012 0.344
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.85988 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.5508 0.29683 0.188 0.028 0.784
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0892 0.85746 0.980 0.000 0.020
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.2878 0.75976 0.000 0.904 0.096
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.85988 1.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0424 0.84570 0.000 0.992 0.008
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.1163 0.84178 0.000 0.972 0.028
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.6516 0.47088 0.516 0.004 0.480
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0424 0.84629 0.000 0.992 0.008
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0592 0.84713 0.000 0.988 0.012
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.6215 0.51428 0.000 0.428 0.572
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 1 0.7250 0.54983 0.572 0.032 0.396
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 1 0.6252 0.65437 0.648 0.008 0.344
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.1163 0.85623 0.972 0.000 0.028
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.6825 0.43280 0.500 0.012 0.488
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.6302 -0.26325 0.000 0.520 0.480
#> EE4F9349-F750-4471-BFE7-7230784569E1 1 0.6608 0.62994 0.628 0.016 0.356
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0747 0.84356 0.000 0.984 0.016
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.85988 1.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.85988 1.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 3 0.6297 0.32314 0.184 0.060 0.756
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0237 0.84688 0.000 0.996 0.004
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0424 0.84570 0.000 0.992 0.008
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.2165 0.81928 0.000 0.936 0.064
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.3192 0.73910 0.000 0.888 0.112
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0237 0.84655 0.000 0.996 0.004
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.6062 0.42132 0.000 0.616 0.384
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0592 0.84524 0.000 0.988 0.012
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.5553 0.73233 0.724 0.004 0.272
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 3 0.6786 -0.33142 0.448 0.012 0.540
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0237 0.84688 0.000 0.996 0.004
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.6763 0.31930 0.012 0.552 0.436
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0892 0.84554 0.000 0.980 0.020
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.5926 0.15419 0.000 0.644 0.356
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.6062 0.41621 0.000 0.616 0.384
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0747 0.84599 0.000 0.984 0.016
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0237 0.84688 0.000 0.996 0.004
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.6045 0.42291 0.000 0.620 0.380
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.6235 0.50938 0.000 0.436 0.564
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.85988 1.000 0.000 0.000
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#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 3 0.6775 0.42640 0.096 0.164 0.740
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.6192 0.52264 0.000 0.420 0.580
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.2625 0.84042 0.916 0.000 0.084
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 1 0.5621 0.70038 0.692 0.000 0.308
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.3340 0.82697 0.880 0.000 0.120
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.2448 0.80892 0.000 0.924 0.076
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 3 0.6057 0.29032 0.196 0.044 0.760
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.85988 1.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.6314 0.39983 0.004 0.604 0.392
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0000 0.85988 1.000 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.2448 0.81207 0.000 0.924 0.076
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0000 0.85988 1.000 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.0424 0.84570 0.000 0.992 0.008
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 3 0.6566 -0.02412 0.348 0.016 0.636
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.5216 0.73955 0.740 0.000 0.260
#> BF513557-1518-4843-9F62-837B557D4CAB 3 0.8866 0.23913 0.248 0.180 0.572
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.85988 1.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0000 0.84694 0.000 1.000 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.85988 1.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.0237 0.84688 0.000 0.996 0.004
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 2 0.6299 -0.29691 0.000 0.524 0.476
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.85988 1.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 3 0.8349 0.35512 0.128 0.264 0.608
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.85988 1.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0592 0.84566 0.000 0.988 0.012
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.85988 1.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 3 0.6286 0.45527 0.000 0.464 0.536
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 2 0.3412 0.72057 0.000 0.876 0.124
#> A541B123-A51C-4EF0-839E-8A9513311C98 1 0.5982 0.66669 0.668 0.004 0.328
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.1031 0.84161 0.000 0.976 0.024
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.85988 1.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.1289 0.85559 0.968 0.000 0.032
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 2 0.3267 0.72964 0.000 0.884 0.116
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0000 0.85988 1.000 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.6309 -0.36761 0.000 0.500 0.500
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.0424 0.84570 0.000 0.992 0.008
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.5244 0.75599 0.756 0.004 0.240
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.0747 0.84669 0.000 0.984 0.016
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.6215 0.51428 0.000 0.428 0.572
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.1163 0.84131 0.000 0.972 0.028
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.6192 0.52264 0.000 0.420 0.580
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.4654 0.77946 0.792 0.000 0.208
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.85988 1.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0424 0.84629 0.000 0.992 0.008
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.1860 0.85052 0.948 0.000 0.052
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.5785 0.48597 0.000 0.668 0.332
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.6192 0.52264 0.000 0.420 0.580
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 3 0.6497 -0.02407 0.336 0.016 0.648
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0747 0.84512 0.000 0.984 0.016
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.85988 1.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.2261 0.81417 0.000 0.932 0.068
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0424 0.84629 0.000 0.992 0.008
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 3 0.6705 0.33883 0.176 0.084 0.740
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.3752 0.81289 0.856 0.000 0.144
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.5948 0.44768 0.000 0.640 0.360
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 3 0.6299 -0.17956 0.000 0.476 0.524
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0424 0.84570 0.000 0.992 0.008
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.85988 1.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.85988 1.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.85988 1.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0424 0.84570 0.000 0.992 0.008
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.85988 1.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.1031 0.85687 0.976 0.000 0.024
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0892 0.84421 0.000 0.980 0.020
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0592 0.84566 0.000 0.988 0.012
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0747 0.84399 0.000 0.984 0.016
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.1860 0.82718 0.000 0.948 0.052
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.2959 0.79172 0.000 0.900 0.100
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0592 0.84580 0.000 0.988 0.012
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.6685 0.52652 0.048 0.708 0.244
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0424 0.84570 0.000 0.992 0.008
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.1031 0.84311 0.000 0.976 0.024
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0424 0.84570 0.000 0.992 0.008
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.6244 0.49795 0.000 0.440 0.560
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.6505 0.49167 0.528 0.004 0.468
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.6373 0.37901 0.004 0.588 0.408
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.85988 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.6192 0.52264 0.000 0.420 0.580
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.2878 0.79011 0.000 0.904 0.096
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0424 0.84629 0.000 0.992 0.008
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 1 0.5982 0.67828 0.668 0.004 0.328
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0592 0.84424 0.000 0.988 0.012
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.6192 0.52264 0.000 0.420 0.580
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.1890 0.77228 0.000 0.056 0.008 0.936
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.0707 0.87247 0.020 0.980 0.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 4 0.0188 0.80867 0.000 0.000 0.004 0.996
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.0188 0.80867 0.000 0.000 0.004 0.996
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.3324 0.71693 0.000 0.012 0.136 0.852
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.0804 0.86869 0.008 0.980 0.012 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 2 0.4679 0.53604 0.352 0.648 0.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.6300 0.68213 0.000 0.084 0.608 0.308
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.0592 0.87175 0.016 0.984 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 2 0.0895 0.87274 0.020 0.976 0.004 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.0779 0.87153 0.016 0.980 0.004 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.3863 0.73601 0.008 0.812 0.004 0.176
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.5257 0.66902 0.000 0.008 0.548 0.444
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.0592 0.80099 0.000 0.000 0.016 0.984
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 4 0.6536 0.43154 0.000 0.324 0.096 0.580
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 2 0.0921 0.87310 0.028 0.972 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 4 0.0188 0.80867 0.000 0.000 0.004 0.996
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.3591 0.81954 0.000 0.008 0.824 0.168
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 2 0.4730 0.50922 0.364 0.636 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.6007 0.78101 0.000 0.056 0.604 0.340
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.5069 0.81160 0.000 0.016 0.664 0.320
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.2722 0.75968 0.000 0.032 0.064 0.904
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.3144 0.85893 0.044 0.884 0.072 0.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.1114 0.86825 0.008 0.972 0.016 0.004
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.5155 0.56344 0.000 0.004 0.528 0.468
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.0707 0.87247 0.020 0.980 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.0188 0.80867 0.000 0.000 0.004 0.996
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.2868 0.72446 0.000 0.000 0.136 0.864
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.4741 0.81138 0.000 0.004 0.668 0.328
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.2450 0.86113 0.016 0.912 0.072 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.3320 0.85651 0.056 0.876 0.068 0.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0336 0.96118 0.992 0.008 0.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 2 0.0779 0.87153 0.016 0.980 0.004 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 4 0.6223 -0.40768 0.000 0.060 0.384 0.556
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.3144 0.85893 0.044 0.884 0.072 0.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.0188 0.80867 0.000 0.000 0.004 0.996
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.3238 0.83263 0.008 0.880 0.092 0.020
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.2281 0.75854 0.000 0.000 0.096 0.904
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.2589 0.74065 0.000 0.000 0.116 0.884
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0927 0.80620 0.000 0.016 0.008 0.976
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.5097 0.65081 0.000 0.004 0.568 0.428
#> DD028798-C4CB-43A8-81D7-711E015E23B5 4 0.0188 0.80867 0.000 0.000 0.004 0.996
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.6535 0.44836 0.000 0.312 0.100 0.588
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.0188 0.80870 0.000 0.000 0.004 0.996
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 2 0.2647 0.84474 0.120 0.880 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 2 0.0779 0.87153 0.016 0.980 0.004 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.2921 0.72049 0.000 0.000 0.140 0.860
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 4 0.6888 0.07358 0.000 0.448 0.104 0.448
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 4 0.0188 0.80867 0.000 0.000 0.004 0.996
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 4 0.4889 -0.20276 0.000 0.004 0.360 0.636
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 4 0.6285 0.49007 0.000 0.284 0.092 0.624
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.0336 0.80882 0.000 0.000 0.008 0.992
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.2530 0.74613 0.000 0.000 0.112 0.888
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 4 0.6269 0.50091 0.000 0.272 0.096 0.632
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.6658 0.70574 0.000 0.092 0.532 0.376
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.3123 0.80950 0.844 0.156 0.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.1389 0.78863 0.000 0.000 0.048 0.952
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.2530 0.74268 0.000 0.000 0.112 0.888
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 4 0.6603 0.41655 0.000 0.328 0.100 0.572
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 4 0.6248 0.50904 0.000 0.260 0.100 0.640
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 2 0.3498 0.79583 0.160 0.832 0.008 0.000
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.5820 0.15114 0.000 0.080 0.240 0.680
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0000 0.96594 1.000 0.000 0.000 0.000
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#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 2 0.0804 0.86869 0.008 0.980 0.012 0.000
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.3591 0.81954 0.000 0.008 0.824 0.168
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 2 0.5515 0.68418 0.000 0.732 0.152 0.116
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 4 0.0188 0.80867 0.000 0.000 0.004 0.996
#> 4D9EF242-9F58-4681-ADCF-556E05932931 4 0.2921 0.72049 0.000 0.000 0.140 0.860
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 2 0.4640 0.77258 0.004 0.804 0.116 0.076
#> D902E43A-F384-432A-B690-D20BFCC78443 2 0.3229 0.85793 0.048 0.880 0.072 0.000
#> D5E8379B-621C-4551-9B13-E63B1B068488 4 0.2868 0.72446 0.000 0.000 0.136 0.864
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 4 0.4746 0.49326 0.000 0.304 0.008 0.688
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 2 0.4787 0.75844 0.004 0.796 0.092 0.108
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.3591 0.81954 0.000 0.008 0.824 0.168
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.3726 0.72278 0.788 0.212 0.000 0.000
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 2 0.3398 0.85484 0.060 0.872 0.068 0.000
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 1 0.4718 0.59072 0.708 0.280 0.012 0.000
#> 37586AAC-159B-41F9-9078-C2F7888753AC 4 0.2313 0.77536 0.000 0.032 0.044 0.924
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 2 0.2234 0.85450 0.008 0.924 0.064 0.004
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 4 0.6649 0.38974 0.000 0.340 0.100 0.560
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.0336 0.96095 0.992 0.008 0.000 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 4 0.2909 0.76493 0.000 0.020 0.092 0.888
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.0469 0.95818 0.988 0.012 0.000 0.000
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 4 0.3311 0.67797 0.000 0.000 0.172 0.828
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.2141 0.86445 0.012 0.936 0.040 0.012
#> 1FB9316D-4674-4D97-A33B-649F53D09487 2 0.3691 0.84650 0.076 0.856 0.068 0.000
#> BF513557-1518-4843-9F62-837B557D4CAB 2 0.1762 0.85795 0.004 0.944 0.004 0.048
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.2868 0.72446 0.000 0.000 0.136 0.864
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.5444 0.72817 0.000 0.016 0.560 0.424
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 2 0.1824 0.84670 0.000 0.936 0.004 0.060
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 4 0.6315 -0.55598 0.000 0.060 0.432 0.508
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.5088 0.66159 0.000 0.004 0.572 0.424
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.2408 0.85213 0.104 0.896 0.000 0.000
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 4 0.0188 0.80867 0.000 0.000 0.004 0.996
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.4454 0.49693 0.692 0.308 0.000 0.000
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.5151 0.57723 0.000 0.004 0.532 0.464
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0188 0.96359 0.996 0.004 0.000 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 4 0.5833 -0.53428 0.000 0.032 0.440 0.528
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.2345 0.75299 0.000 0.000 0.100 0.900
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 2 0.3205 0.85098 0.104 0.872 0.024 0.000
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.2589 0.74362 0.000 0.000 0.116 0.884
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.4608 0.82172 0.000 0.004 0.692 0.304
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 4 0.0817 0.80010 0.000 0.024 0.000 0.976
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.3591 0.81954 0.000 0.008 0.824 0.168
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 2 0.2814 0.83415 0.132 0.868 0.000 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.0188 0.80867 0.000 0.000 0.004 0.996
#> 15FB165D-6751-4894-A904-C77EA723CFCB 2 0.4967 0.30297 0.452 0.548 0.000 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 4 0.5327 0.59429 0.000 0.220 0.060 0.720
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.3591 0.81954 0.000 0.008 0.824 0.168
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 2 0.0779 0.87153 0.016 0.980 0.004 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.0188 0.80867 0.000 0.000 0.004 0.996
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 4 0.1677 0.78646 0.000 0.040 0.012 0.948
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.2011 0.77019 0.000 0.000 0.080 0.920
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.2510 0.84108 0.008 0.916 0.012 0.064
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 2 0.3649 0.76541 0.204 0.796 0.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 4 0.5200 0.56369 0.000 0.264 0.036 0.700
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.6837 -0.00193 0.000 0.472 0.100 0.428
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 4 0.0188 0.80867 0.000 0.000 0.004 0.996
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0921 0.94598 0.972 0.028 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 4 0.0469 0.80794 0.000 0.000 0.012 0.988
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 4 0.0188 0.80877 0.000 0.000 0.004 0.996
#> 635170D3-D669-4165-B69C-9C9A246BFF11 4 0.1452 0.79581 0.000 0.036 0.008 0.956
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.0188 0.80867 0.000 0.000 0.004 0.996
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.5138 0.37640 0.000 0.600 0.008 0.392
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 4 0.0336 0.80884 0.000 0.000 0.008 0.992
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 4 0.0469 0.80671 0.000 0.000 0.012 0.988
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.5383 0.69821 0.000 0.012 0.536 0.452
#> A280A4AF-0687-40CA-8804-C6173B33E732 2 0.0592 0.87175 0.016 0.984 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 4 0.6813 0.28606 0.000 0.380 0.104 0.516
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.96594 1.000 0.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.3591 0.81954 0.000 0.008 0.824 0.168
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 4 0.2722 0.75848 0.000 0.032 0.064 0.904
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.2589 0.74328 0.000 0.000 0.116 0.884
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.3398 0.85484 0.060 0.872 0.068 0.000
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 4 0.0000 0.80907 0.000 0.000 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.3591 0.81954 0.000 0.008 0.824 0.168
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.1095 0.7394 0.000 0.968 0.008 0.012 0.012
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.2020 0.4567 0.000 0.000 0.000 0.100 0.900
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.1357 0.7357 0.000 0.948 0.048 0.004 0.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.1952 0.7228 0.000 0.912 0.084 0.004 0.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.4457 0.5001 0.000 0.656 0.328 0.012 0.004
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.1571 0.7325 0.000 0.936 0.060 0.004 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 5 0.3003 0.3340 0.000 0.000 0.000 0.188 0.812
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.6882 0.2055 0.304 0.000 0.008 0.248 0.440
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.7201 0.4492 0.000 0.324 0.476 0.144 0.056
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0451 0.7413 0.000 0.988 0.004 0.008 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.1965 0.4440 0.000 0.000 0.000 0.096 0.904
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.2439 0.4989 0.004 0.000 0.000 0.120 0.876
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.2813 0.3637 0.000 0.000 0.000 0.168 0.832
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 5 0.5974 -0.1928 0.000 0.380 0.004 0.100 0.516
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.6010 0.4513 0.000 0.404 0.512 0.060 0.024
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0566 0.7410 0.000 0.984 0.004 0.012 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.2338 0.7060 0.000 0.884 0.112 0.004 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.6132 0.3384 0.000 0.584 0.004 0.212 0.200
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.3193 0.4996 0.028 0.000 0.000 0.132 0.840
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0671 0.7419 0.000 0.980 0.004 0.016 0.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.5619 0.7034 0.000 0.156 0.636 0.208 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 5 0.6284 0.2676 0.320 0.000 0.000 0.172 0.508
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.6415 0.5819 0.000 0.236 0.608 0.104 0.052
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0451 0.7413 0.000 0.988 0.004 0.008 0.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.4961 0.6640 0.000 0.276 0.672 0.044 0.008
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.2519 0.7356 0.000 0.900 0.036 0.060 0.004
#> A3153235-3128-40AC-9371-AFA1F61E3E59 5 0.6280 0.4136 0.024 0.000 0.156 0.212 0.608
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 5 0.3929 0.2597 0.000 0.028 0.000 0.208 0.764
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.2674 0.8691 0.868 0.000 0.000 0.120 0.012
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.4538 0.5586 0.000 0.348 0.636 0.012 0.004
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0693 0.7422 0.000 0.980 0.012 0.008 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0693 0.7408 0.000 0.980 0.008 0.012 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.1965 0.4651 0.000 0.000 0.000 0.096 0.904
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0566 0.7417 0.000 0.984 0.012 0.004 0.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.3992 0.5776 0.000 0.720 0.268 0.012 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.4479 0.6766 0.000 0.240 0.720 0.036 0.004
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.5689 0.4459 0.020 0.000 0.156 0.148 0.676
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.6332 0.4155 0.028 0.000 0.156 0.208 0.608
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.2733 0.8716 0.872 0.000 0.004 0.112 0.012
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 5 0.2179 0.4377 0.000 0.000 0.000 0.112 0.888
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.6916 0.1342 0.000 0.560 0.228 0.156 0.056
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.6332 0.4155 0.028 0.000 0.156 0.208 0.608
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.2719 0.6841 0.000 0.852 0.144 0.004 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 5 0.5396 -0.1573 0.000 0.080 0.004 0.280 0.636
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.3305 0.6381 0.000 0.776 0.224 0.000 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.4063 0.5667 0.000 0.708 0.280 0.012 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.1808 0.7428 0.000 0.936 0.044 0.008 0.012
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 3 0.4066 0.6040 0.000 0.324 0.672 0.004 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0290 0.7412 0.000 0.992 0.000 0.008 0.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.6319 0.2294 0.000 0.540 0.004 0.280 0.176
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.2690 0.6797 0.000 0.844 0.156 0.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 5 0.4315 0.5041 0.068 0.000 0.004 0.156 0.772
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 5 0.3636 0.3830 0.000 0.000 0.000 0.272 0.728
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.4213 0.5315 0.000 0.680 0.308 0.012 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.6654 0.0426 0.000 0.480 0.004 0.284 0.232
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0798 0.7422 0.000 0.976 0.016 0.008 0.000
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#> A0DA6087-9D43-41F9-8569-9F9320E4A9E8 2 0.7522 -0.2122 0.000 0.444 0.308 0.184 0.064
#> 8B0BED75-8B6D-4838-9CE0-425EBFE33A44 5 0.4611 0.5146 0.024 0.000 0.052 0.160 0.764
#> BDC31CC4-927C-49B1-819B-5119AA8422E8 2 0.2054 0.7315 0.000 0.916 0.072 0.004 0.008
#> 2F382D6A-B26F-450A-A156-9407D14538CD 5 0.3759 0.5100 0.056 0.000 0.000 0.136 0.808
#> C5C8713B-05C1-4C5C-8685-2A546B99BA50 1 0.2338 0.8762 0.884 0.000 0.000 0.112 0.004
#> 94640BD8-E1D9-482D-A597-4790F6EEA6B7 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 7779D220-647F-4D6C-890B-022208B51F57 2 0.0579 0.7421 0.000 0.984 0.008 0.008 0.000
#> 7F7B62D8-D399-4A7C-9265-05196E97CC18 3 0.6370 0.6613 0.000 0.168 0.588 0.224 0.020
#> 56D3154E-E779-4C27-8305-FEE7310B6762 3 0.6035 0.7268 0.000 0.216 0.580 0.204 0.000
#> 4099642A-F8D6-428C-AA12-1E76C27BB368 2 0.0693 0.7408 0.000 0.980 0.008 0.012 0.000
#> BB79CABB-0912-4E02-ACD9-82EF3AB8B598 3 0.5268 0.7212 0.000 0.172 0.680 0.148 0.000
#> DE716AF0-930E-4747-B7FE-4AFAA45212DC 3 0.5322 0.7290 0.000 0.188 0.672 0.140 0.000
#> 3941F338-3165-4CCA-9108-65A110186E6B 1 0.5116 0.6767 0.692 0.000 0.000 0.120 0.188
#> 2B70C69F-DE54-4C78-B326-5CCEE15916FB 3 0.5329 0.7277 0.000 0.184 0.672 0.144 0.000
#> 4B4647B5-1964-49A9-AC25-89AB4A669341 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 7AA08B08-B1DD-47AB-A0F2-850F6DE95093 5 0.4843 0.5044 0.056 0.000 0.020 0.188 0.736
#> 61521A02-8D3F-48D5-BBDE-4D874A633059 5 0.1908 0.4943 0.000 0.000 0.000 0.092 0.908
#> C8E7072F-6FBB-4BF8-8917-0C0CBDAF7605 1 0.2338 0.8765 0.884 0.000 0.004 0.112 0.000
#> DB8DD33B-34B6-4F4B-AD87-D666899A26BC 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 6AF1465C-7A6C-4AAF-AFF2-3065EA5B7D0B 5 0.5689 0.4480 0.020 0.000 0.156 0.148 0.676
#> 551ADCCD-D116-43D8-AABC-E7E111D79E70 1 0.5414 0.0370 0.528 0.000 0.000 0.060 0.412
#> A061C2FD-B726-422D-9470-43249B49F5BD 2 0.5289 0.5204 0.000 0.684 0.004 0.116 0.196
#> FC2F983B-2530-4886-B759-E2C571E2D068 2 0.6318 -0.2837 0.000 0.496 0.400 0.068 0.036
#> DACCA07A-8F2C-40C5-B8AD-73805E408D85 5 0.3355 0.3258 0.000 0.012 0.000 0.184 0.804
#> 94F9B9B1-A23E-4947-BD09-67CBA3052C51 2 0.2171 0.7298 0.000 0.924 0.016 0.028 0.032
#> 9BB12A25-E833-4055-8CEF-814EA5454F11 1 0.2127 0.8791 0.892 0.000 0.000 0.108 0.000
#> 45B7816C-0A67-441C-8E80-656EAF2AD940 3 0.5983 0.7268 0.000 0.212 0.588 0.200 0.000
#> DF145DF3-D7FD-48C9-ADC8-0B8618DC65A8 1 0.0162 0.9109 0.996 0.000 0.000 0.004 0.000
#> D7037D13-E2EA-4483-9E58-1F9717520BAB 2 0.2491 0.7120 0.000 0.896 0.000 0.036 0.068
#> 72781523-C5BA-4B54-8410-E238B5F441B4 2 0.5565 0.4878 0.000 0.660 0.004 0.172 0.164
#> 61C38CFD-F57F-48D2-9FC7-81776647CF0E 3 0.5162 0.7129 0.000 0.160 0.692 0.148 0.000
#> E3E4E7DA-AD14-44BA-B3BE-02652B3CEE18 3 0.5191 0.5227 0.000 0.408 0.552 0.036 0.004
#> 6990AABF-A5F4-4784-91FF-286A0EE6A618 2 0.0451 0.7413 0.000 0.988 0.004 0.008 0.000
#> A85A0E3A-2CB9-40EB-80E9-125EC137151B 2 0.4371 0.4677 0.000 0.644 0.344 0.012 0.000
#> AE988295-3046-4778-81C5-B787CAC92268 3 0.5163 0.7085 0.000 0.156 0.692 0.152 0.000
#> 4549956C-8D25-4B37-894C-E82D5C7684F0 3 0.4173 0.6393 0.000 0.300 0.688 0.012 0.000
#> B11FF528-846E-4E40-9E32-E5820ECB5504 3 0.5125 0.7093 0.000 0.156 0.696 0.148 0.000
#> CCA161B9-1E9A-4F8C-8144-B32B5CF76ECC 5 0.2852 0.3579 0.000 0.000 0.000 0.172 0.828
#> D155B4CA-927F-4B4F-B6BC-2D41267F195E 3 0.5619 0.7034 0.000 0.156 0.636 0.208 0.000
#> 580D2283-0AEE-42D8-AEDC-E5280DA56D81 5 0.8469 -0.5699 0.000 0.164 0.264 0.268 0.304
#> 7E7AAFFD-6EEB-4357-88AD-9EB12BB78602 2 0.1430 0.7352 0.000 0.944 0.052 0.004 0.000
#> 4D9EF242-9F58-4681-ADCF-556E05932931 2 0.4270 0.5137 0.000 0.668 0.320 0.012 0.000
#> D9385661-DBBA-4AF7-B7E6-857BF84CF7CD 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> C884FB38-DE5C-48BA-95F1-4ABD2991E833 4 0.7074 0.0000 0.000 0.024 0.192 0.420 0.364
#> D902E43A-F384-432A-B690-D20BFCC78443 5 0.6332 0.4155 0.028 0.000 0.156 0.208 0.608
#> D5E8379B-621C-4551-9B13-E63B1B068488 2 0.4086 0.5616 0.000 0.704 0.284 0.012 0.000
#> F56466DC-3C0F-48BE-8A72-CEDEAEF52F00 2 0.2976 0.6751 0.000 0.852 0.004 0.012 0.132
#> FBF510B1-3629-4FB9-BF9C-5BE689827DAC 5 0.6885 -0.3967 0.000 0.344 0.004 0.264 0.388
#> 03D53F2A-5003-48D3-80CD-9C9BBCEBD59E 3 0.5619 0.7034 0.000 0.156 0.636 0.208 0.000
#> 64F4FE1B-1B96-49CC-B4E9-454D971DB7BC 1 0.5220 0.7207 0.712 0.000 0.012 0.124 0.152
#> 9970B75F-7AC6-431B-BDBB-120D01582CBE 5 0.6332 0.4155 0.028 0.000 0.156 0.208 0.608
#> E0DE33EA-C3DF-478E-9C4D-86E3C7B3A1D9 5 0.7928 0.2082 0.340 0.000 0.112 0.164 0.384
#> 37586AAC-159B-41F9-9078-C2F7888753AC 2 0.3849 0.6948 0.000 0.808 0.136 0.052 0.004
#> D2201D51-9020-4A0D-B2C8-8F7A2F0A918A 5 0.3561 0.2290 0.000 0.000 0.000 0.260 0.740
#> 9BFF7746-9003-4941-9590-0B813E00B326 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 381221D6-D0E6-47B3-AB59-468AE2A5FC0A 2 0.6389 0.1973 0.000 0.528 0.004 0.284 0.184
#> 05C1C0CC-8EAE-4924-B041-D448D280C192 1 0.2020 0.8824 0.900 0.000 0.000 0.100 0.000
#> 1C94EA93-563D-4F65-B857-85EF91127874 2 0.2426 0.7376 0.000 0.900 0.064 0.036 0.000
#> 1A0F3795-92C5-4887-8CD0-B19C763CF6EF 1 0.2951 0.8651 0.860 0.000 0.000 0.112 0.028
#> DD58135A-FE4D-4B43-BEED-485D7A48C9F3 2 0.4066 0.5180 0.000 0.672 0.324 0.004 0.000
#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 5 0.5444 0.2300 0.036 0.020 0.008 0.288 0.648
#> 1FB9316D-4674-4D97-A33B-649F53D09487 5 0.6760 0.4061 0.028 0.000 0.156 0.292 0.524
#> BF513557-1518-4843-9F62-837B557D4CAB 5 0.4818 0.0957 0.000 0.212 0.000 0.080 0.708
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 2 0.0162 0.7419 0.000 0.996 0.000 0.004 0.000
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0162 0.9109 0.996 0.000 0.000 0.004 0.000
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 2 0.4063 0.5659 0.000 0.708 0.280 0.012 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.5396 0.4874 0.000 0.424 0.528 0.040 0.008
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 5 0.4984 -0.0555 0.000 0.308 0.000 0.052 0.640
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 2 0.0290 0.7412 0.000 0.992 0.000 0.008 0.000
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 2 0.7362 -0.3096 0.000 0.448 0.336 0.156 0.060
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 3 0.4288 0.6029 0.000 0.324 0.664 0.012 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 5 0.6129 0.4434 0.128 0.000 0.028 0.216 0.628
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 2 0.0609 0.7399 0.000 0.980 0.000 0.020 0.000
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.4653 0.7617 0.752 0.000 0.004 0.112 0.132
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 3 0.4567 0.5411 0.000 0.356 0.628 0.012 0.004
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.0290 0.9102 0.992 0.000 0.000 0.008 0.000
#> EDD5BA86-0402-4002-8040-2B98F43DA758 2 0.6317 -0.1708 0.000 0.528 0.364 0.068 0.040
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 2 0.3366 0.6335 0.000 0.768 0.232 0.000 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 5 0.6003 0.4588 0.048 0.000 0.120 0.164 0.668
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 2 0.3707 0.5746 0.000 0.716 0.284 0.000 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.3366 0.6925 0.000 0.232 0.768 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0671 0.7419 0.000 0.980 0.004 0.016 0.000
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.5619 0.7034 0.000 0.156 0.636 0.208 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.5009 0.4865 0.112 0.000 0.004 0.168 0.716
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.0451 0.7418 0.000 0.988 0.004 0.008 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 5 0.6500 0.1132 0.400 0.000 0.000 0.188 0.412
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.5255 0.5414 0.000 0.692 0.004 0.128 0.176
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.5619 0.7034 0.000 0.156 0.636 0.208 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 5 0.2891 0.3515 0.000 0.000 0.000 0.176 0.824
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0671 0.7414 0.000 0.980 0.016 0.004 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.2569 0.7337 0.000 0.896 0.068 0.032 0.004
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.3305 0.6408 0.000 0.776 0.224 0.000 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 5 0.4824 0.1052 0.000 0.076 0.004 0.200 0.720
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.6315 0.3742 0.240 0.000 0.028 0.132 0.600
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.5225 0.5174 0.000 0.684 0.004 0.100 0.212
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.6749 -0.2124 0.000 0.388 0.000 0.264 0.348
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0451 0.7425 0.000 0.988 0.008 0.004 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0290 0.7412 0.000 0.992 0.000 0.008 0.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.2900 0.8693 0.864 0.000 0.000 0.108 0.028
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.1522 0.7394 0.000 0.944 0.044 0.012 0.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0579 0.7411 0.000 0.984 0.008 0.008 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0404 0.7406 0.000 0.988 0.000 0.012 0.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0798 0.7404 0.000 0.976 0.008 0.016 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.3076 0.7223 0.000 0.880 0.052 0.040 0.028
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.1740 0.7359 0.000 0.932 0.056 0.012 0.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.3320 0.6441 0.000 0.828 0.008 0.012 0.152
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0290 0.7412 0.000 0.992 0.000 0.008 0.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0671 0.7414 0.000 0.980 0.004 0.016 0.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0693 0.7422 0.000 0.980 0.012 0.008 0.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.5755 0.5107 0.000 0.416 0.516 0.052 0.016
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.1608 0.5042 0.000 0.000 0.000 0.072 0.928
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.6602 0.0796 0.000 0.492 0.004 0.280 0.224
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0609 0.9076 0.980 0.000 0.000 0.020 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.5619 0.7034 0.000 0.156 0.636 0.208 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.2249 0.7054 0.000 0.896 0.008 0.096 0.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.3838 0.5764 0.000 0.716 0.280 0.004 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.6332 0.4155 0.028 0.000 0.156 0.208 0.608
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1041 0.7387 0.000 0.964 0.032 0.004 0.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.5619 0.7034 0.000 0.156 0.636 0.208 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.3347 0.66081 0.000 0.848 0.036 0.040 0.004 0.072
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.2221 0.69041 0.000 0.000 0.000 0.032 0.896 0.072
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.2144 0.67715 0.000 0.908 0.040 0.048 0.000 0.004
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.2364 0.66988 0.000 0.892 0.032 0.072 0.000 0.004
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.5029 0.42127 0.000 0.620 0.120 0.260 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.3239 0.66433 0.000 0.840 0.044 0.100 0.000 0.016
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 5 0.3280 0.63479 0.000 0.000 0.004 0.032 0.812 0.152
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.6625 0.35311 0.324 0.000 0.000 0.044 0.432 0.200
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 4 0.7813 0.52325 0.000 0.296 0.172 0.376 0.032 0.124
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.2103 0.69166 0.000 0.916 0.040 0.020 0.000 0.024
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.2119 0.67679 0.000 0.000 0.000 0.036 0.904 0.060
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.2318 0.68822 0.000 0.000 0.000 0.064 0.892 0.044
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.2560 0.67846 0.000 0.000 0.000 0.036 0.872 0.092
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 5 0.6295 -0.32048 0.000 0.296 0.000 0.048 0.512 0.144
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.6151 -0.51223 0.000 0.436 0.196 0.356 0.000 0.012
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.2769 0.67234 0.000 0.880 0.036 0.032 0.000 0.052
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.3505 0.63870 0.000 0.808 0.048 0.136 0.000 0.008
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0717 0.86984 0.976 0.000 0.000 0.008 0.000 0.016
#> 022275BA-F672-49C5-887B-CCF24A20848F 6 0.6011 0.85874 0.000 0.308 0.016 0.000 0.172 0.504
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.3086 0.68658 0.004 0.000 0.000 0.020 0.820 0.156
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#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 4 0.6621 0.33593 0.000 0.236 0.356 0.376 0.000 0.032
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.2220 0.68031 0.000 0.908 0.044 0.012 0.000 0.036
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.2489 0.71355 0.000 0.128 0.860 0.012 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.5224 0.66254 0.092 0.000 0.000 0.084 0.700 0.124
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0520 0.87116 0.984 0.000 0.000 0.008 0.000 0.008
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 2 0.1716 0.68307 0.000 0.932 0.028 0.004 0.000 0.036
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.5997 0.50553 0.548 0.000 0.000 0.028 0.264 0.160
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.6461 -0.67005 0.000 0.412 0.040 0.004 0.140 0.404
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.1957 0.71343 0.000 0.112 0.888 0.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 5 0.2956 0.66503 0.000 0.000 0.000 0.040 0.840 0.120
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.2022 0.67948 0.000 0.916 0.052 0.008 0.000 0.024
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0891 0.86759 0.968 0.000 0.000 0.008 0.000 0.024
#> C543A527-3E25-4389-9722-E9325C733243 2 0.3108 0.67319 0.000 0.860 0.052 0.052 0.000 0.036
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.3880 0.61218 0.000 0.780 0.096 0.120 0.000 0.004
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 5 0.4770 0.54269 0.000 0.040 0.008 0.040 0.716 0.196
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.6505 0.46383 0.244 0.000 0.000 0.072 0.524 0.160
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.6606 -0.63460 0.000 0.420 0.036 0.008 0.160 0.376
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 6 0.6224 0.72597 0.000 0.228 0.004 0.012 0.268 0.488
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.1536 0.69362 0.000 0.940 0.040 0.004 0.000 0.016
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0972 0.86645 0.964 0.000 0.000 0.008 0.000 0.028
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0972 0.86645 0.964 0.000 0.000 0.008 0.000 0.028
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0260 0.87220 0.992 0.000 0.000 0.008 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.2036 0.68346 0.000 0.916 0.028 0.008 0.000 0.048
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0972 0.86645 0.964 0.000 0.000 0.008 0.000 0.028
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.3441 0.84205 0.820 0.000 0.000 0.016 0.040 0.124
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.2450 0.67728 0.000 0.896 0.048 0.040 0.000 0.016
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.2538 0.67398 0.000 0.892 0.040 0.048 0.000 0.020
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.2265 0.68629 0.000 0.904 0.028 0.012 0.000 0.056
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.3166 0.66230 0.000 0.856 0.036 0.048 0.000 0.060
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.3798 0.65380 0.000 0.812 0.060 0.088 0.000 0.040
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.2649 0.67332 0.000 0.884 0.052 0.048 0.000 0.016
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.5333 0.45455 0.000 0.704 0.024 0.032 0.124 0.116
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.1726 0.68663 0.000 0.932 0.012 0.012 0.000 0.044
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.2573 0.66862 0.000 0.884 0.044 0.008 0.000 0.064
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.2171 0.68379 0.000 0.912 0.032 0.016 0.000 0.040
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 4 0.6571 0.61741 0.000 0.372 0.188 0.400 0.000 0.040
#> A280A4AF-0687-40CA-8804-C6173B33E732 5 0.1745 0.69479 0.000 0.000 0.000 0.020 0.924 0.056
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 6 0.6840 0.83185 0.000 0.264 0.060 0.008 0.188 0.480
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.1141 0.87528 0.948 0.000 0.000 0.000 0.000 0.052
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.1957 0.71343 0.000 0.112 0.888 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.4536 0.31930 0.000 0.664 0.048 0.008 0.000 0.280
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.4682 0.52551 0.000 0.696 0.124 0.176 0.000 0.004
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.4684 0.59964 0.000 0.000 0.000 0.372 0.576 0.052
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1788 0.68755 0.000 0.928 0.028 0.040 0.000 0.004
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.2191 0.71403 0.000 0.120 0.876 0.004 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17630 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 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 0.993 0.4897 0.511 0.511
#> 3 3 0.682 0.858 0.866 0.2843 0.805 0.638
#> 4 4 0.657 0.744 0.848 0.1586 0.843 0.605
#> 5 5 0.716 0.696 0.824 0.0664 0.889 0.633
#> 6 6 0.801 0.744 0.874 0.0517 0.827 0.403
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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.0000 0.9926 0.000 1.000
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.0000 0.9935 1.000 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.0000 0.9926 0.000 1.000
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.0000 0.9926 0.000 1.000
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.0000 0.9926 0.000 1.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.0000 0.9926 0.000 1.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.0000 0.9935 1.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.0000 0.9935 1.000 0.000
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 2 0.0000 0.9926 0.000 1.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.0000 0.9926 0.000 1.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.0000 0.9935 1.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.0000 0.9935 1.000 0.000
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.0000 0.9935 1.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0376 0.9888 0.004 0.996
#> EA485E4A-5956-430C-8584-E14D865E3758 2 0.0000 0.9926 0.000 1.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0000 0.9926 0.000 1.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.0000 0.9926 0.000 1.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0000 0.9935 1.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 1 0.0000 0.9935 1.000 0.000
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.0000 0.9935 1.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0000 0.9926 0.000 1.000
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 2 0.0000 0.9926 0.000 1.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0000 0.9935 1.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0000 0.9935 1.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 2 0.0000 0.9926 0.000 1.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.0000 0.9926 0.000 1.000
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 2 0.0000 0.9926 0.000 1.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0000 0.9935 1.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.0000 0.9926 0.000 1.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.0000 0.9926 0.000 1.000
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9935 1.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 1 0.0000 0.9935 1.000 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0000 0.9935 1.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.0000 0.9926 0.000 1.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0000 0.9935 1.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.0000 0.9926 0.000 1.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0000 0.9926 0.000 1.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.0000 0.9935 1.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.0000 0.9926 0.000 1.000
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.0000 0.9926 0.000 1.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 2 0.0000 0.9926 0.000 1.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.0000 0.9926 0.000 1.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.0000 0.9926 0.000 1.000
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.0000 0.9935 1.000 0.000
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0000 0.9935 1.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.0000 0.9926 0.000 1.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.0000 0.9926 0.000 1.000
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.0000 0.9926 0.000 1.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0000 0.9935 1.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0000 0.9935 1.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.0000 0.9935 1.000 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.0000 0.9926 0.000 1.000
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.0000 0.9926 0.000 1.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.0000 0.9926 0.000 1.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.0000 0.9926 0.000 1.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.0000 0.9926 0.000 1.000
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.0000 0.9926 0.000 1.000
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.0000 0.9926 0.000 1.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0000 0.9935 1.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0000 0.9935 1.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.0000 0.9926 0.000 1.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 1 0.0000 0.9935 1.000 0.000
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.0000 0.9926 0.000 1.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.0000 0.9926 0.000 1.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.0000 0.9926 0.000 1.000
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.0000 0.9926 0.000 1.000
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.0000 0.9926 0.000 1.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.0000 0.9926 0.000 1.000
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 2 0.0000 0.9926 0.000 1.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0000 0.9935 1.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.0000 0.9935 1.000 0.000
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.0000 0.9926 0.000 1.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0000 0.9935 1.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.0000 0.9926 0.000 1.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0000 0.9935 1.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.0000 0.9926 0.000 1.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0000 0.9935 1.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 1 0.8443 0.6261 0.728 0.272
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.0000 0.9926 0.000 1.000
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0000 0.9935 1.000 0.000
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#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0000 0.9926 0.000 1.000
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 2 0.0000 0.9926 0.000 1.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0000 0.9935 1.000 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.0000 0.9926 0.000 1.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0000 0.9935 1.000 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0000 0.9926 0.000 1.000
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 2 0.0000 0.9926 0.000 1.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.8555 0.6151 0.280 0.720
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.0000 0.9935 1.000 0.000
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.0000 0.9926 0.000 1.000
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 1 0.0000 0.9935 1.000 0.000
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 2 0.0000 0.9926 0.000 1.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0000 0.9935 1.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0000 0.9935 1.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0000 0.9935 1.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.0000 0.9926 0.000 1.000
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0000 0.9935 1.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0000 0.9935 1.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.0000 0.9926 0.000 1.000
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.0000 0.9926 0.000 1.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0000 0.9926 0.000 1.000
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.0000 0.9926 0.000 1.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.0000 0.9926 0.000 1.000
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.0000 0.9926 0.000 1.000
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.0000 0.9926 0.000 1.000
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.0000 0.9926 0.000 1.000
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.0000 0.9926 0.000 1.000
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0000 0.9926 0.000 1.000
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.0000 0.9926 0.000 1.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0000 0.9935 1.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 1 0.0000 0.9935 1.000 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9935 1.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 2 0.0000 0.9926 0.000 1.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.0000 0.9926 0.000 1.000
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.0000 0.9926 0.000 1.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.9866 0.2428 0.432 0.568
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.0000 0.9926 0.000 1.000
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 2 0.0000 0.9926 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.2711 0.8324 0.000 0.912 0.088
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 1 0.3370 0.9030 0.904 0.024 0.072
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.1163 0.8550 0.000 0.972 0.028
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.1753 0.8505 0.000 0.952 0.048
#> CA366342-0949-4941-8AE6-984BAF032886 2 0.1529 0.8520 0.000 0.960 0.040
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.2625 0.8482 0.000 0.916 0.084
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 1 0.3370 0.9030 0.904 0.024 0.072
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.3412 0.8990 0.876 0.000 0.124
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.4796 0.8915 0.000 0.220 0.780
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.3116 0.8382 0.000 0.892 0.108
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.3091 0.9088 0.912 0.016 0.072
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.2356 0.9281 0.928 0.000 0.072
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.2774 0.9141 0.920 0.008 0.072
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.6567 0.6821 0.160 0.752 0.088
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.5216 0.9511 0.000 0.260 0.740
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 2 0.0592 0.8588 0.000 0.988 0.012
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 2 0.1860 0.8470 0.000 0.948 0.052
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0237 0.9501 0.996 0.000 0.004
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.7637 0.5172 0.284 0.640 0.076
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.2774 0.9141 0.920 0.008 0.072
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.2878 0.8422 0.000 0.904 0.096
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.5216 0.9511 0.000 0.260 0.740
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0237 0.9501 0.996 0.000 0.004
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0424 0.9494 0.992 0.000 0.008
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.5254 0.9467 0.000 0.264 0.736
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.1860 0.8509 0.000 0.948 0.052
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.5216 0.9511 0.000 0.260 0.740
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0237 0.9504 0.996 0.000 0.004
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.2356 0.8366 0.000 0.928 0.072
#> A3153235-3128-40AC-9371-AFA1F61E3E59 2 0.5061 0.7309 0.008 0.784 0.208
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0000 0.9504 1.000 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.6339 0.2761 0.360 0.008 0.632
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0237 0.9501 0.996 0.000 0.004
#> E6090BC6-D29D-4401-990A-251930CC6853 2 0.5760 0.3179 0.000 0.672 0.328
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0237 0.9504 0.996 0.000 0.004
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 2 0.1289 0.8549 0.000 0.968 0.032
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.0592 0.8585 0.000 0.988 0.012
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.2774 0.9141 0.920 0.008 0.072
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.1753 0.8509 0.000 0.952 0.048
#> 19EBA5E0-D299-4166-834A-256294572121 2 0.1163 0.8540 0.000 0.972 0.028
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.5216 0.9511 0.000 0.260 0.740
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 2 0.4834 0.7356 0.004 0.792 0.204
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 2 0.5061 0.7271 0.008 0.784 0.208
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.4002 0.8723 0.840 0.000 0.160
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.0424 0.9494 0.992 0.000 0.008
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.5216 0.9511 0.000 0.260 0.740
#> EE4F9349-F750-4471-BFE7-7230784569E1 2 0.5061 0.7271 0.008 0.784 0.208
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 2 0.3116 0.8037 0.000 0.892 0.108
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.0237 0.9504 0.996 0.000 0.004
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0237 0.9501 0.996 0.000 0.004
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 1 0.6387 0.6260 0.680 0.020 0.300
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 2 0.1529 0.8507 0.000 0.960 0.040
#> D35E148D-0537-4186-8B19-17915782AF18 2 0.1411 0.8517 0.000 0.964 0.036
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 2 0.3412 0.8156 0.000 0.876 0.124
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 2 0.4750 0.6328 0.000 0.784 0.216
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.1964 0.8526 0.000 0.944 0.056
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.5024 0.7280 0.004 0.776 0.220
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 2 0.2796 0.8194 0.000 0.908 0.092
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0424 0.9494 0.992 0.000 0.008
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0424 0.9494 0.992 0.000 0.008
#> 332283CB-F855-4493-A259-7852FD37B9DC 2 0.2165 0.8406 0.000 0.936 0.064
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 1 0.5956 0.8073 0.768 0.044 0.188
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 2 0.3038 0.8200 0.000 0.896 0.104
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.6305 -0.1878 0.000 0.516 0.484
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.7218 0.4491 0.052 0.652 0.296
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.3267 0.8318 0.000 0.884 0.116
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 2 0.2165 0.8410 0.000 0.936 0.064
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 3 0.6280 0.3884 0.000 0.460 0.540
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.4555 0.8923 0.000 0.200 0.800
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0237 0.9504 0.996 0.000 0.004
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.3983 0.8819 0.852 0.004 0.144
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 2 0.1529 0.8511 0.000 0.960 0.040
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0237 0.9501 0.996 0.000 0.004
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.3038 0.8400 0.000 0.896 0.104
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.1753 0.9380 0.952 0.000 0.048
#> 111625A4-390B-4D8C-BF80-020062CE9D89 2 0.3412 0.7875 0.000 0.876 0.124
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0592 0.9494 0.988 0.000 0.012
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 1 0.4745 0.8554 0.852 0.068 0.080
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.3038 0.8235 0.000 0.896 0.104
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.0424 0.9501 0.992 0.000 0.008
#> 800E78BA-08BE-463B-ABBA-45255B48362B 2 0.1163 0.8539 0.000 0.972 0.028
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0237 0.9504 0.996 0.000 0.004
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.1529 0.9420 0.960 0.000 0.040
#> 7AE107A7-8EA7-4920-A579-2337C007920D 2 0.2711 0.8306 0.000 0.912 0.088
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.3038 0.8106 0.000 0.896 0.104
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.2448 0.8378 0.000 0.924 0.076
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.5216 0.9511 0.000 0.260 0.740
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 2 0.8717 0.4762 0.220 0.592 0.188
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.3340 0.8270 0.000 0.880 0.120
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 1 0.4915 0.8631 0.832 0.036 0.132
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.4062 0.7686 0.000 0.836 0.164
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 1 0.3091 0.9088 0.912 0.016 0.072
#> 3AD94D09-83F9-4E15-946F-1123E468F582 2 0.0892 0.8590 0.000 0.980 0.020
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.4750 0.8679 0.000 0.216 0.784
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.4062 0.8692 0.836 0.000 0.164
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 2 0.6235 -0.1859 0.000 0.564 0.436
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 2 0.7011 0.6531 0.092 0.720 0.188
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.7616 0.5123 0.292 0.636 0.072
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.0424 0.9494 0.992 0.000 0.008
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.2066 0.8485 0.000 0.940 0.060
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 1 0.6059 0.7224 0.764 0.188 0.048
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.0424 0.9494 0.992 0.000 0.008
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.0424 0.9494 0.992 0.000 0.008
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 2 0.1964 0.8451 0.000 0.944 0.056
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 2 0.1860 0.8527 0.000 0.948 0.052
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.2165 0.8465 0.000 0.936 0.064
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.5502 0.6636 0.008 0.744 0.248
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.2261 0.8500 0.000 0.932 0.068
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.5216 0.9511 0.000 0.260 0.740
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.0237 0.9501 0.996 0.000 0.004
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.1964 0.9349 0.944 0.000 0.056
#> 37A8E941-F86F-449A-86E4-833AC349111F 2 0.4346 0.6974 0.000 0.816 0.184
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.5216 0.9511 0.000 0.260 0.740
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.0237 0.9501 0.996 0.000 0.004
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0424 0.9500 0.992 0.000 0.008
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.0237 0.9504 0.996 0.000 0.004
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.2625 0.8447 0.000 0.916 0.084
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.5216 0.9511 0.000 0.260 0.740
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.5216 0.9511 0.000 0.260 0.740
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 2 0.2537 0.8301 0.000 0.920 0.080
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 1 0.2116 0.9316 0.948 0.012 0.040
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 1 0.3234 0.9058 0.908 0.020 0.072
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.1753 0.9333 0.952 0.000 0.048
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 2 0.3116 0.8300 0.000 0.892 0.108
#> 113340B4-B092-4B8C-8A13-5932525B0C33 1 0.5384 0.8277 0.788 0.024 0.188
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 2 0.2878 0.8335 0.000 0.904 0.096
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.7749 0.4824 0.312 0.616 0.072
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 3 0.5216 0.9511 0.000 0.260 0.740
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0237 0.9504 0.996 0.000 0.004
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.1964 0.9349 0.944 0.000 0.056
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.0237 0.9504 0.996 0.000 0.004
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 3 0.4796 0.8645 0.000 0.220 0.780
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.0424 0.9494 0.992 0.000 0.008
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.3461 0.8340 0.024 0.900 0.076
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 2 0.3038 0.8307 0.000 0.896 0.104
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#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.2711 0.8440 0.000 0.912 0.088
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.2165 0.8465 0.000 0.936 0.064
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.1860 0.8609 0.000 0.948 0.052
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.3116 0.8053 0.000 0.892 0.108
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.2878 0.8210 0.000 0.904 0.096
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.2165 0.8450 0.000 0.936 0.064
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.2796 0.8432 0.000 0.908 0.092
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 2 0.0592 0.8570 0.000 0.988 0.012
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.5016 0.8876 0.000 0.240 0.760
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0424 0.9494 0.992 0.000 0.008
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 1 0.5147 0.8383 0.800 0.020 0.180
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0000 0.9504 1.000 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.5216 0.9511 0.000 0.260 0.740
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.2261 0.8454 0.000 0.932 0.068
#> 293E6D35-8392-4C44-BC18-F917989516B0 2 0.1411 0.8513 0.000 0.964 0.036
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 2 0.6354 0.6882 0.056 0.748 0.196
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.2261 0.8523 0.000 0.932 0.068
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.5216 0.9511 0.000 0.260 0.740
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.1489 0.7906 0.000 0.044 0.004 0.952
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.2334 0.6699 0.088 0.908 0.000 0.004
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 4 0.4088 0.6505 0.000 0.232 0.004 0.764
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.5288 -0.0147 0.000 0.472 0.008 0.520
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.2760 0.7943 0.000 0.000 0.128 0.872
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.5126 0.3884 0.000 0.552 0.004 0.444
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.2149 0.6663 0.088 0.912 0.000 0.000
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.2408 0.8605 0.920 0.044 0.000 0.036
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0469 0.9187 0.000 0.000 0.988 0.012
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.4343 0.6881 0.000 0.732 0.004 0.264
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 2 0.4072 0.4602 0.252 0.748 0.000 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.1733 0.8725 0.948 0.028 0.000 0.024
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 2 0.3837 0.5064 0.224 0.776 0.000 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.3764 0.7071 0.000 0.784 0.000 0.216
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.0000 0.9288 0.000 0.000 1.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.2125 0.7837 0.000 0.076 0.004 0.920
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.3229 0.8013 0.000 0.048 0.072 0.880
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.3074 0.8704 0.848 0.152 0.000 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.3142 0.7086 0.008 0.860 0.000 0.132
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 2 0.4304 0.3909 0.284 0.716 0.000 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.4040 0.6958 0.000 0.752 0.000 0.248
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9288 0.000 0.000 1.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.3486 0.8533 0.812 0.188 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.3528 0.8510 0.808 0.192 0.000 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.0188 0.9255 0.000 0.000 0.996 0.004
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 4 0.4220 0.5982 0.000 0.248 0.004 0.748
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.0000 0.9288 0.000 0.000 1.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.1867 0.8902 0.928 0.072 0.000 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.3547 0.7880 0.000 0.016 0.144 0.840
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.5951 0.6039 0.192 0.032 0.056 0.720
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.2011 0.8892 0.920 0.080 0.000 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 2 0.6560 0.3713 0.248 0.620 0.132 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.3266 0.8637 0.832 0.168 0.000 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 3 0.4999 -0.1833 0.000 0.000 0.508 0.492
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.1474 0.8915 0.948 0.052 0.000 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.1661 0.8055 0.000 0.004 0.052 0.944
#> 745233F1-DF41-4DDA-9146-1666DD59355E 4 0.2266 0.7796 0.000 0.084 0.004 0.912
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 2 0.4277 0.3965 0.280 0.720 0.000 0.000
#> 743F5644-F650-437A-B4AE-4972F88606D8 4 0.2868 0.7418 0.000 0.136 0.000 0.864
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.2345 0.8045 0.000 0.000 0.100 0.900
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9288 0.000 0.000 1.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.1811 0.7706 0.020 0.028 0.004 0.948
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.2797 0.7266 0.068 0.032 0.000 0.900
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.2224 0.8620 0.928 0.040 0.000 0.032
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.3486 0.8533 0.812 0.188 0.000 0.000
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 3 0.2266 0.8545 0.000 0.084 0.912 0.004
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.2751 0.7360 0.056 0.040 0.000 0.904
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.7669 0.2106 0.000 0.228 0.328 0.444
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.1118 0.8918 0.964 0.036 0.000 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.3486 0.8533 0.812 0.188 0.000 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.2401 0.6627 0.092 0.904 0.004 0.000
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.2345 0.8051 0.000 0.000 0.100 0.900
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.2345 0.8051 0.000 0.000 0.100 0.900
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.1970 0.8033 0.000 0.008 0.060 0.932
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.4713 0.5306 0.000 0.000 0.360 0.640
#> DD028798-C4CB-43A8-81D7-711E015E23B5 4 0.3764 0.6681 0.000 0.216 0.000 0.784
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 4 0.5533 0.5853 0.132 0.136 0.000 0.732
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.5878 0.5874 0.000 0.056 0.312 0.632
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.3528 0.8510 0.808 0.192 0.000 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.3837 0.8271 0.776 0.224 0.000 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.2921 0.7923 0.000 0.000 0.140 0.860
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 1 0.6327 0.5471 0.652 0.132 0.000 0.216
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 4 0.1118 0.7902 0.000 0.036 0.000 0.964
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.5279 0.6830 0.000 0.704 0.044 0.252
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.3432 0.6911 0.020 0.884 0.036 0.060
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.4283 0.6890 0.000 0.740 0.004 0.256
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.2469 0.8030 0.000 0.000 0.108 0.892
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.3249 0.7090 0.008 0.852 0.000 0.140
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.9288 0.000 0.000 1.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.0336 0.8901 0.992 0.008 0.000 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.2319 0.8597 0.924 0.040 0.000 0.036
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.2266 0.8069 0.000 0.004 0.084 0.912
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.3486 0.8533 0.812 0.188 0.000 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.4920 0.5602 0.000 0.628 0.004 0.368
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0817 0.8820 0.976 0.024 0.000 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.4431 0.6580 0.000 0.000 0.304 0.696
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.0336 0.8869 0.992 0.008 0.000 0.000
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.2631 0.6715 0.064 0.912 0.016 0.008
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 4 0.3444 0.6946 0.000 0.184 0.000 0.816
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 1 0.3743 0.8660 0.824 0.160 0.000 0.016
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.1557 0.8055 0.000 0.000 0.056 0.944
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.0592 0.8911 0.984 0.016 0.000 0.000
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.1943 0.8752 0.944 0.008 0.032 0.016
#> 7AE107A7-8EA7-4920-A579-2337C007920D 4 0.1302 0.7894 0.000 0.044 0.000 0.956
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 4 0.7622 0.2104 0.000 0.280 0.248 0.472
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 4 0.2814 0.7475 0.000 0.132 0.000 0.868
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.9288 0.000 0.000 1.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 4 0.5957 0.1658 0.420 0.040 0.000 0.540
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 4 0.4925 0.1246 0.000 0.428 0.000 0.572
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.6295 0.4857 0.212 0.656 0.000 0.132
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 4 0.1389 0.7892 0.000 0.048 0.000 0.952
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.1824 0.6746 0.060 0.936 0.000 0.004
#> 3AD94D09-83F9-4E15-946F-1123E468F582 4 0.3873 0.6569 0.000 0.228 0.000 0.772
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.2530 0.8271 0.000 0.100 0.896 0.004
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.2500 0.8580 0.916 0.044 0.000 0.040
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.4888 0.1514 0.000 0.000 0.588 0.412
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 4 0.5256 0.5788 0.204 0.064 0.000 0.732
#> 9ECB653A-A04F-457C-92FC-D13424511A47 2 0.2002 0.6915 0.020 0.936 0.000 0.044
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.3688 0.8401 0.792 0.208 0.000 0.000
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 4 0.4998 -0.1153 0.000 0.488 0.000 0.512
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 1 0.4882 0.6795 0.776 0.056 0.004 0.164
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.3356 0.8597 0.824 0.176 0.000 0.000
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.3688 0.8403 0.792 0.208 0.000 0.000
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.2593 0.8056 0.000 0.004 0.104 0.892
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 4 0.4978 0.2486 0.000 0.384 0.004 0.612
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.4477 0.6315 0.000 0.688 0.000 0.312
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.3681 0.7100 0.008 0.816 0.000 0.176
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 2 0.5132 0.3733 0.000 0.548 0.004 0.448
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.0000 0.9288 0.000 0.000 1.000 0.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.3024 0.8722 0.852 0.148 0.000 0.000
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.0817 0.8822 0.976 0.024 0.000 0.000
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.4877 0.4550 0.000 0.000 0.408 0.592
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.0000 0.9288 0.000 0.000 1.000 0.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.3074 0.8705 0.848 0.152 0.000 0.000
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0592 0.8847 0.984 0.016 0.000 0.000
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.2589 0.8830 0.884 0.116 0.000 0.000
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 2 0.4164 0.6890 0.000 0.736 0.000 0.264
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.9288 0.000 0.000 1.000 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.9288 0.000 0.000 1.000 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 4 0.3528 0.7605 0.000 0.000 0.192 0.808
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 2 0.4605 0.2451 0.336 0.664 0.000 0.000
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 2 0.3688 0.5362 0.208 0.792 0.000 0.000
#> ED604501-C110-4693-820B-DE9FB648FEAA 1 0.3975 0.8130 0.760 0.240 0.000 0.000
#> AAD8D181-FDC2-4722-B5CD-45344E0905E0 4 0.3074 0.7314 0.000 0.152 0.000 0.848
#> 113340B4-B092-4B8C-8A13-5932525B0C33 1 0.3486 0.8156 0.864 0.044 0.000 0.092
#> E528D9EE-41C3-4D4C-B16F-ABBDD6E31B84 4 0.1743 0.8042 0.000 0.004 0.056 0.940
#> 25B5E54F-5858-454C-9B23-440A82450912 2 0.2593 0.7002 0.016 0.904 0.000 0.080
#> A19ADC4B-C7E3-4855-9B59-009865D4FBF0 3 0.0000 0.9288 0.000 0.000 1.000 0.000
#> 9E5B5D00-45A2-48A9-9F57-0B4AAE9E4E25 1 0.0707 0.8898 0.980 0.020 0.000 0.000
#> A21476BD-0550-4D87-80EA-6E1454E0896D 1 0.0469 0.8859 0.988 0.012 0.000 0.000
#> FD3CFD0E-E8D9-4A57-A9F0-4FB519B7E459 1 0.2868 0.8763 0.864 0.136 0.000 0.000
#> 0F8847C7-545C-4C3C-B3D0-0681C9480712 2 0.5047 0.4462 0.000 0.668 0.316 0.016
#> A219A5D7-C67B-4CF0-860A-78ADEB56A13D 1 0.3528 0.8510 0.808 0.192 0.000 0.000
#> AD62B8A4-6AB8-4C99-80F5-98A1C085027D 2 0.4283 0.6927 0.000 0.740 0.004 0.256
#> 85D3FB91-4738-4B8A-B86E-115FDEF10166 4 0.2124 0.8040 0.000 0.008 0.068 0.924
#> A0A24949-483B-4250-B11E-2BCE49F302AC 4 0.4839 0.7433 0.000 0.044 0.200 0.756
#> 2B311620-94F3-4B53-B66A-81AC0A32453B 1 0.2081 0.8887 0.916 0.084 0.000 0.000
#> 85ABD5AE-6E84-4FB0-8C8B-03DD1AEF3898 4 0.2868 0.7950 0.000 0.000 0.136 0.864
#> EE52CA48-EBE4-4BCA-B9BA-9AB39F8E7986 2 0.6041 0.5650 0.000 0.608 0.060 0.332
#> B4E10042-052D-4DC4-BC94-FF1D5D4632C0 2 0.2760 0.7082 0.000 0.872 0.000 0.128
#> 52F6F0A9-8D2D-49BC-9B49-E20E5E53561C 1 0.0817 0.8820 0.976 0.024 0.000 0.000
#> 575F780D-9288-44CC-A0EA-E28EAD80213B 2 0.1724 0.6848 0.032 0.948 0.000 0.020
#> 7604968C-689A-458D-96BA-33B163B238F8 4 0.5151 -0.0813 0.000 0.464 0.004 0.532
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#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.2224 0.8620 0.928 0.040 0.000 0.032
#> 896B5096-D888-4DC3-9C70-152BDE083E26 2 0.3528 0.7083 0.000 0.808 0.000 0.192
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.4188 0.6439 0.112 0.824 0.000 0.064
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.1743 0.8062 0.000 0.004 0.056 0.940
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.3172 0.8673 0.840 0.160 0.000 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.3356 0.8597 0.824 0.176 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.3400 0.8577 0.820 0.180 0.000 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 4 0.1824 0.7873 0.000 0.060 0.004 0.936
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.3172 0.8672 0.840 0.160 0.000 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.3688 0.8401 0.792 0.208 0.000 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 4 0.3583 0.7090 0.000 0.180 0.004 0.816
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.4991 0.5195 0.000 0.608 0.004 0.388
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.4343 0.6873 0.000 0.732 0.004 0.264
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 4 0.4741 0.4309 0.000 0.328 0.004 0.668
#> 635170D3-D669-4165-B69C-9C9A246BFF11 4 0.4643 0.3875 0.000 0.344 0.000 0.656
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.6685 0.4948 0.000 0.268 0.132 0.600
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.1576 0.7902 0.000 0.048 0.004 0.948
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.5143 0.3154 0.000 0.540 0.004 0.456
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.4164 0.6890 0.000 0.736 0.000 0.264
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 4 0.2179 0.7898 0.000 0.064 0.012 0.924
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.5173 0.4470 0.000 0.320 0.660 0.020
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.3649 0.8431 0.796 0.204 0.000 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 1 0.5644 0.6978 0.744 0.144 0.012 0.100
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.2408 0.8849 0.896 0.104 0.000 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9288 0.000 0.000 1.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.4331 0.6621 0.000 0.712 0.000 0.288
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.2408 0.8039 0.000 0.000 0.104 0.896
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.4507 0.6033 0.168 0.044 0.000 0.788
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.4677 0.6212 0.000 0.680 0.004 0.316
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9288 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 4 0.0451 0.7948 0.000 0.004 0.000 0.988 0.008
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 5 0.1965 0.5979 0.024 0.000 0.000 0.052 0.924
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 4 0.4801 0.6080 0.000 0.204 0.008 0.724 0.064
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 4 0.5797 0.5131 0.000 0.084 0.040 0.668 0.208
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.2006 0.8043 0.000 0.012 0.072 0.916 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 4 0.3305 0.6138 0.000 0.000 0.000 0.776 0.224
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 5 0.1082 0.5851 0.008 0.028 0.000 0.000 0.964
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 1 0.2473 0.7621 0.896 0.072 0.000 0.000 0.032
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.3774 0.5636 0.000 0.296 0.704 0.000 0.000
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 5 0.4542 0.2562 0.000 0.008 0.000 0.456 0.536
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 5 0.2563 0.4966 0.120 0.000 0.000 0.008 0.872
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 1 0.1564 0.7751 0.948 0.024 0.000 0.024 0.004
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 5 0.1638 0.5627 0.064 0.004 0.000 0.000 0.932
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 5 0.4251 0.4333 0.000 0.004 0.000 0.372 0.624
#> EA485E4A-5956-430C-8584-E14D865E3758 3 0.0693 0.9184 0.000 0.008 0.980 0.012 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.0609 0.7945 0.000 0.000 0.000 0.980 0.020
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.2949 0.8034 0.000 0.016 0.048 0.884 0.052
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.4066 0.7512 0.672 0.004 0.000 0.000 0.324
#> 022275BA-F672-49C5-887B-CCF24A20848F 2 0.2796 0.7720 0.008 0.868 0.000 0.008 0.116
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 5 0.2286 0.5094 0.108 0.004 0.000 0.000 0.888
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 5 0.5583 0.2690 0.000 0.352 0.000 0.084 0.564
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9337 0.000 0.000 1.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.4310 0.7055 0.604 0.004 0.000 0.000 0.392
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.4321 0.7020 0.600 0.004 0.000 0.000 0.396
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 3 0.1571 0.8725 0.000 0.004 0.936 0.060 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 4 0.2573 0.7456 0.000 0.016 0.000 0.880 0.104
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 3 0.1282 0.8904 0.000 0.004 0.952 0.044 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.2848 0.8058 0.840 0.004 0.000 0.000 0.156
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 2 0.4357 0.7317 0.000 0.768 0.128 0.104 0.000
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.4674 0.4753 0.316 0.024 0.000 0.656 0.004
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.3048 0.8025 0.820 0.004 0.000 0.000 0.176
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 5 0.4122 0.5206 0.064 0.008 0.132 0.000 0.796
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.4196 0.7323 0.640 0.004 0.000 0.000 0.356
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.3132 0.7606 0.000 0.008 0.172 0.820 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.2583 0.8090 0.864 0.004 0.000 0.000 0.132
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.1522 0.8063 0.000 0.012 0.044 0.944 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 4 0.1121 0.7849 0.000 0.000 0.000 0.956 0.044
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 5 0.1952 0.5450 0.084 0.004 0.000 0.000 0.912
#> 743F5644-F650-437A-B4AE-4972F88606D8 2 0.2462 0.7919 0.000 0.880 0.000 0.112 0.008
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.1877 0.8060 0.000 0.012 0.064 0.924 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.0000 0.9337 0.000 0.000 1.000 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 4 0.2300 0.7692 0.072 0.024 0.000 0.904 0.000
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 4 0.3264 0.7216 0.132 0.024 0.000 0.840 0.004
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 1 0.1386 0.7732 0.952 0.032 0.000 0.000 0.016
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.4299 0.7089 0.608 0.004 0.000 0.000 0.388
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 2 0.3495 0.7602 0.000 0.812 0.160 0.028 0.000
#> EE4F9349-F750-4471-BFE7-7230784569E1 4 0.3257 0.7311 0.124 0.028 0.000 0.844 0.004
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.5687 0.4888 0.000 0.020 0.348 0.580 0.052
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.2338 0.8103 0.884 0.004 0.000 0.000 0.112
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.4288 0.7122 0.612 0.004 0.000 0.000 0.384
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 5 0.2573 0.5573 0.016 0.104 0.000 0.000 0.880
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.2423 0.8039 0.000 0.024 0.080 0.896 0.000
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.2006 0.8055 0.000 0.012 0.072 0.916 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.3359 0.7826 0.000 0.072 0.084 0.844 0.000
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.4627 0.2650 0.000 0.012 0.444 0.544 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 4 0.4038 0.6813 0.000 0.128 0.000 0.792 0.080
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 2 0.1369 0.8169 0.000 0.956 0.008 0.028 0.008
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.3400 0.7750 0.000 0.000 0.136 0.828 0.036
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.4321 0.7020 0.600 0.004 0.000 0.000 0.396
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.4443 0.6031 0.524 0.004 0.000 0.000 0.472
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.2069 0.8047 0.000 0.012 0.076 0.912 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 2 0.1082 0.8168 0.000 0.964 0.000 0.028 0.008
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 4 0.0963 0.7990 0.000 0.036 0.000 0.964 0.000
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 5 0.5389 0.3178 0.000 0.024 0.020 0.424 0.532
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 2 0.1830 0.8174 0.000 0.932 0.000 0.028 0.040
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 2 0.5787 0.1167 0.000 0.476 0.016 0.052 0.456
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.3386 0.7766 0.000 0.040 0.128 0.832 0.000
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 2 0.3093 0.7389 0.000 0.824 0.000 0.008 0.168
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.9337 0.000 0.000 1.000 0.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.1831 0.8103 0.920 0.004 0.000 0.000 0.076
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 1 0.1393 0.7760 0.956 0.024 0.000 0.012 0.008
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.2171 0.8062 0.000 0.024 0.064 0.912 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.4299 0.7089 0.608 0.004 0.000 0.000 0.388
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 4 0.4150 0.2531 0.000 0.000 0.000 0.612 0.388
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 1 0.0807 0.7912 0.976 0.012 0.000 0.000 0.012
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.4565 0.4317 0.000 0.012 0.408 0.580 0.000
#> A43D720D-0CA3-48CF-ADC7-5AC72BD5EEA9 1 0.1282 0.8062 0.952 0.004 0.000 0.000 0.044
#> 5B9D33F5-1B4F-4C06-A73A-CC723C1EF409 2 0.1588 0.8076 0.016 0.948 0.000 0.008 0.028
#> 8C319F60-2CC3-4A55-8320-84F1DF1F706E 2 0.1399 0.8195 0.000 0.952 0.000 0.028 0.020
#> E00A399D-E6C3-439D-8E70-A7AD5DF5F5E2 2 0.5286 -0.0987 0.448 0.504 0.000 0.000 0.048
#> 800E78BA-08BE-463B-ABBA-45255B48362B 4 0.2305 0.7998 0.000 0.012 0.092 0.896 0.000
#> CC9815B3-88D0-4376-B96F-B979E1FBD0C7 1 0.1952 0.8105 0.912 0.004 0.000 0.000 0.084
#> 27875588-7C41-49BB-A4C0-A66D72A12499 1 0.2362 0.7895 0.916 0.024 0.032 0.000 0.028
#> 7AE107A7-8EA7-4920-A579-2337C007920D 4 0.3857 0.4787 0.000 0.312 0.000 0.688 0.000
#> ED6F62A6-64A8-4919-B32C-8D3D86A0F9FF 2 0.3722 0.7708 0.000 0.812 0.144 0.040 0.004
#> 7FB45FBA-A0DE-4A56-8D24-C6ED09998EC3 2 0.3967 0.6583 0.000 0.724 0.000 0.264 0.012
#> D65697C7-2DA7-43BA-ABE2-50CB08B0D126 3 0.0000 0.9337 0.000 0.000 1.000 0.000 0.000
#> 98D004A9-E3F0-448E-BFE2-359F25DF356C 1 0.4660 0.4922 0.728 0.036 0.000 0.220 0.016
#> 75D49AA7-FBAD-4469-98FB-BFBB133553F2 2 0.1579 0.8189 0.000 0.944 0.000 0.032 0.024
#> 46C5EF69-5EAF-4FBA-BE47-28A8E7F3D9A2 2 0.1493 0.7983 0.024 0.948 0.000 0.000 0.028
#> B4CD2F4A-9379-44D2-A2F4-3C8CCC1FD44F 2 0.2732 0.7569 0.000 0.840 0.000 0.160 0.000
#> 706B5E97-06B6-4401-9934-7CF12FF7F816 2 0.4592 0.4622 0.024 0.644 0.000 0.000 0.332
#> 3AD94D09-83F9-4E15-946F-1123E468F582 4 0.5921 0.3845 0.000 0.220 0.000 0.596 0.184
#> 6C8488D3-6826-4156-9BD9-A12D8F35B72B 3 0.1608 0.8678 0.000 0.000 0.928 0.000 0.072
#> 242A2775-52C6-4B3C-9317-A27C32C92A6E 1 0.2233 0.7515 0.904 0.080 0.000 0.000 0.016
#> 9CC5EB30-A8C2-4FDF-8074-467AA98ED1CA 3 0.4658 -0.1370 0.000 0.012 0.504 0.484 0.000
#> C4C1F171-9B72-4527-9C03-39C2C00A5B6C 4 0.5225 0.2444 0.432 0.024 0.000 0.532 0.012
#> 9ECB653A-A04F-457C-92FC-D13424511A47 5 0.2782 0.5896 0.000 0.048 0.000 0.072 0.880
#> 443B59BB-0BFD-459A-896E-FA07AA6C3A45 1 0.4359 0.6856 0.584 0.004 0.000 0.000 0.412
#> F99D2B23-A7C3-4115-AA68-17AE6914AC2A 2 0.4971 0.6579 0.000 0.708 0.000 0.176 0.116
#> 15824B66-5519-459A-B0C2-6EABAEEC2D8A 4 0.5152 0.1877 0.392 0.012 0.000 0.572 0.024
#> 228C2042-804C-47FA-B565-1993E1015D40 1 0.4196 0.7323 0.640 0.004 0.000 0.000 0.356
#> F42071CA-8794-4C79-8B02-8D48C70E8BA1 1 0.4341 0.6942 0.592 0.004 0.000 0.000 0.404
#> 194676E1-632C-4B99-A9C8-80E36DD6C85E 4 0.2362 0.8052 0.000 0.024 0.076 0.900 0.000
#> AB522ACF-5D84-41B0-9671-CE2511EBD94F 4 0.1792 0.7656 0.000 0.000 0.000 0.916 0.084
#> 0108A1FA-9CBF-4CF6-8981-7FB39C39B335 2 0.5191 0.5481 0.000 0.660 0.000 0.088 0.252
#> E775874C-4CE0-4D23-8CF0-7A3D72A84DD9 2 0.1907 0.8165 0.000 0.928 0.000 0.028 0.044
#> 2FA21196-17B0-4D16-BCA7-7E405CA2C1C5 4 0.3910 0.5684 0.000 0.008 0.004 0.740 0.248
#> D5789BD0-2379-4E96-875F-0C72ED09B96D 3 0.0000 0.9337 0.000 0.000 1.000 0.000 0.000
#> 97A8E2B1-059B-4527-8FB4-116F718FFD16 1 0.3928 0.7650 0.700 0.004 0.000 0.000 0.296
#> 1B940F72-3C90-43C4-9267-185F21D10AC9 1 0.1310 0.7899 0.956 0.024 0.000 0.000 0.020
#> 37A8E941-F86F-449A-86E4-833AC349111F 4 0.2886 0.7752 0.000 0.008 0.148 0.844 0.000
#> F2FCC449-3487-474C-82A6-8F2ED71E41BC 3 0.0000 0.9337 0.000 0.000 1.000 0.000 0.000
#> 5307FA7F-DFE5-42BC-BFC7-826AACAAE799 1 0.4047 0.7532 0.676 0.004 0.000 0.000 0.320
#> BB96C5BA-CA50-40B4-B22A-3FCFE46AB11C 1 0.0880 0.8034 0.968 0.000 0.000 0.000 0.032
#> 33233781-A799-4610-86FC-C836713D31AA 1 0.4791 0.7485 0.652 0.024 0.000 0.008 0.316
#> E9D4A83F-EADA-4330-911A-8F02393E0BA3 5 0.6244 0.4118 0.000 0.260 0.000 0.200 0.540
#> B71EF25E-7DDB-42DA-84A5-920A90E85512 3 0.0000 0.9337 0.000 0.000 1.000 0.000 0.000
#> 87F9E756-60BB-435B-9A2D-211E89C182D9 3 0.0000 0.9337 0.000 0.000 1.000 0.000 0.000
#> EED16435-CBED-4143-B5BA-C5C7C8510C3A 4 0.2069 0.8047 0.000 0.012 0.076 0.912 0.000
#> 1B1E827B-A98A-465E-AC6F-448C076E829D 5 0.4316 0.3673 0.208 0.004 0.000 0.040 0.748
#> 385ECC71-2BF4-4E14-B2CC-8423E79BDEBE 5 0.1872 0.5838 0.052 0.000 0.000 0.020 0.928
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#> FD76D38B-2A54-4F1A-B7C0-EF268F9D9A0E 2 0.2100 0.7946 0.048 0.924 0.000 0.016 0.012
#> 1FB9316D-4674-4D97-A33B-649F53D09487 1 0.2937 0.7194 0.884 0.040 0.000 0.060 0.016
#> BF513557-1518-4843-9F62-837B557D4CAB 5 0.4227 0.3497 0.000 0.000 0.000 0.420 0.580
#> 55E3F1FB-D55D-42F8-A9E1-7828F7BFF595 1 0.1211 0.7914 0.960 0.024 0.000 0.000 0.016
#> AE32CA37-A422-42E3-AA29-0149CF1A3019 5 0.5639 0.3629 0.000 0.080 0.000 0.396 0.524
#> EBE58DF8-7300-4D3E-9672-A4E7ADF46113 1 0.0404 0.7976 0.988 0.000 0.000 0.000 0.012
#> B8B72B5C-536A-40E3-9E7F-95E7629874D3 4 0.2006 0.8055 0.000 0.012 0.072 0.916 0.000
#> C7284164-EF9A-4BF0-AE88-571A0BA93E66 3 0.0000 0.9337 0.000 0.000 1.000 0.000 0.000
#> 3D3C3AAA-2C7A-43C6-8137-73A6E0896FAC 1 0.4310 0.7055 0.604 0.004 0.000 0.000 0.392
#> 63E967C4-863F-4253-ADFE-3CDC13B6187A 5 0.5776 0.5038 0.000 0.124 0.000 0.288 0.588
#> 647EE729-B34A-41F0-85AB-207F8C24420B 1 0.4288 0.7122 0.612 0.004 0.000 0.000 0.384
#> 8BA4F4D7-5FCD-42B8-B000-108067FE6885 4 0.4494 0.2570 0.000 0.012 0.000 0.608 0.380
#> A2170829-B80C-49F2-8FB6-39B8ACFB27CB 1 0.2077 0.8108 0.908 0.008 0.000 0.000 0.084
#> C6888F62-AE14-4F73-A1B8-2CB81E2809FD 5 0.5382 0.4479 0.000 0.000 0.072 0.336 0.592
#> D2CDDB70-B27F-4D0A-A089-D92EEF1B75F8 4 0.4047 0.6110 0.000 0.004 0.320 0.676 0.000
#> A541B123-A51C-4EF0-839E-8A9513311C98 2 0.4829 -0.1912 0.484 0.496 0.000 0.000 0.020
#> 9041BE5E-3BC7-4495-9461-8FFA2CAEB524 5 0.6287 0.4317 0.000 0.240 0.000 0.224 0.536
#> 665044AD-F2DD-43C2-BCDE-982A8F5C5830 1 0.4288 0.7122 0.612 0.004 0.000 0.000 0.384
#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 1 0.1549 0.7689 0.944 0.040 0.000 0.000 0.016
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.2929 0.7725 0.000 0.008 0.152 0.840 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.2136 0.8110 0.904 0.008 0.000 0.000 0.088
#> EDD5BA86-0402-4002-8040-2B98F43DA758 4 0.2605 0.7108 0.000 0.000 0.000 0.852 0.148
#> 53426017-24F2-4348-BEE1-05E80B6A0E6B 4 0.2362 0.8052 0.000 0.024 0.076 0.900 0.000
#> 8F64E7A6-DEE2-426E-B843-DE4D73ECD667 1 0.4096 0.6382 0.772 0.024 0.000 0.192 0.012
#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.3970 0.6953 0.000 0.020 0.236 0.744 0.000
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0000 0.9337 0.000 0.000 1.000 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 5 0.5228 0.4443 0.000 0.056 0.000 0.356 0.588
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9337 0.000 0.000 1.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 1 0.3060 0.8098 0.848 0.024 0.000 0.000 0.128
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.4151 0.7399 0.652 0.004 0.000 0.000 0.344
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.1525 0.7990 0.000 0.036 0.004 0.948 0.012
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.4331 0.6982 0.596 0.004 0.000 0.000 0.400
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 5 0.5341 0.3592 0.000 0.300 0.000 0.080 0.620
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9337 0.000 0.000 1.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 5 0.4430 -0.4812 0.456 0.004 0.000 0.000 0.540
#> D837BDD1-8786-4548-8D5F-8506AECF2006 2 0.1740 0.8174 0.000 0.932 0.012 0.056 0.000
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.3928 0.7652 0.700 0.004 0.000 0.000 0.296
#> C543A527-3E25-4389-9722-E9325C733243 5 0.5328 0.4476 0.000 0.064 0.000 0.352 0.584
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.4686 0.7044 0.000 0.104 0.160 0.736 0.000
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 5 0.1990 0.5993 0.008 0.004 0.000 0.068 0.920
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 1 0.1364 0.7739 0.952 0.036 0.000 0.000 0.012
#> 896B5096-D888-4DC3-9C70-152BDE083E26 5 0.5088 0.4584 0.000 0.228 0.000 0.092 0.680
#> A239061B-989B-4F2F-BAAC-13BADFDBAC11 2 0.1493 0.7983 0.024 0.948 0.000 0.000 0.028
#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.1914 0.8068 0.000 0.016 0.060 0.924 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.4135 0.7423 0.656 0.004 0.000 0.000 0.340
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.4276 0.7153 0.616 0.004 0.000 0.000 0.380
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.4251 0.7212 0.624 0.004 0.000 0.000 0.372
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 4 0.0451 0.7977 0.000 0.008 0.000 0.988 0.004
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.4196 0.7323 0.640 0.004 0.000 0.000 0.356
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.4350 0.6900 0.588 0.004 0.000 0.000 0.408
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 2 0.2302 0.8211 0.000 0.916 0.016 0.048 0.020
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 4 0.4464 0.1770 0.000 0.008 0.000 0.584 0.408
#> 33060001-05C9-4751-AA58-F194207ACC08 5 0.4989 0.3453 0.000 0.032 0.000 0.416 0.552
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 4 0.3421 0.6416 0.000 0.008 0.000 0.788 0.204
#> 635170D3-D669-4165-B69C-9C9A246BFF11 2 0.1493 0.8195 0.000 0.948 0.000 0.028 0.024
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 2 0.3046 0.8136 0.000 0.880 0.048 0.052 0.020
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 4 0.0798 0.7910 0.000 0.008 0.000 0.976 0.016
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 4 0.3961 0.5580 0.000 0.016 0.000 0.736 0.248
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 5 0.5394 0.3675 0.000 0.060 0.000 0.400 0.540
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 4 0.0324 0.7974 0.000 0.004 0.000 0.992 0.004
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 3 0.5613 0.3588 0.000 0.000 0.604 0.108 0.288
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.4341 0.6942 0.592 0.004 0.000 0.000 0.404
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 2 0.0794 0.8182 0.000 0.972 0.000 0.028 0.000
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.3521 0.7885 0.764 0.004 0.000 0.000 0.232
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9337 0.000 0.000 1.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.3193 0.7605 0.000 0.840 0.000 0.028 0.132
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.2522 0.7932 0.000 0.012 0.108 0.880 0.000
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 4 0.5209 0.4091 0.352 0.028 0.000 0.604 0.016
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 4 0.5737 -0.1896 0.000 0.084 0.000 0.464 0.452
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9337 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
#> D38D3FD9-7A58-43D0-876C-6235DA833043 2 0.5326 0.3971 0.000 0.500 0.000 0.092 0.404 0.004
#> B5DE434D-6630-4E7E-BA91-6DAC5E2608D3 2 0.2473 0.7294 0.136 0.856 0.000 0.000 0.008 0.000
#> BE71F250-1529-43BD-84F3-3AFE1B42D77D 2 0.3894 0.6372 0.000 0.708 0.000 0.268 0.004 0.020
#> 7E9D6B6D-3276-4240-B5C5-F3F982076358 2 0.3109 0.7545 0.000 0.812 0.004 0.168 0.000 0.016
#> CA366342-0949-4941-8AE6-984BAF032886 4 0.0000 0.8935 0.000 0.000 0.000 1.000 0.000 0.000
#> 90188F36-DEF6-4233-B724-4A25F2D52DAA 2 0.2020 0.8128 0.000 0.896 0.000 0.096 0.008 0.000
#> 62BFF895-C5CC-4F59-8348-2026B659FDF5 2 0.3933 0.4748 0.308 0.676 0.000 0.000 0.008 0.008
#> 4F09B010-97EC-4792-BF5A-42E9EF55894D 5 0.5376 0.4142 0.408 0.000 0.000 0.000 0.480 0.112
#> 4EBF33F3-DA34-4866-81E5-F2D50A18D413 3 0.0146 0.9382 0.000 0.000 0.996 0.000 0.000 0.004
#> A235537D-BF50-4796-B01A-FAD83EFDAD25 2 0.1049 0.8279 0.000 0.960 0.000 0.032 0.008 0.000
#> 6CAD21AA-CB33-402E-B64C-685F576B7653 1 0.2121 0.7705 0.892 0.096 0.000 0.000 0.012 0.000
#> 840B7494-6E8E-4518-874A-0C98EF0CBB72 5 0.3288 0.7307 0.160 0.008 0.000 0.016 0.812 0.004
#> 29D4AB03-5604-4AD6-AEFA-EB9C7EED7FCA 1 0.3595 0.5322 0.704 0.288 0.000 0.000 0.008 0.000
#> C1CCE12B-8892-49AB-8DF2-E5E280DEAE32 2 0.0363 0.8242 0.000 0.988 0.000 0.012 0.000 0.000
#> EA485E4A-5956-430C-8584-E14D865E3758 4 0.2003 0.8140 0.000 0.000 0.116 0.884 0.000 0.000
#> 8B2B5542-3E54-4643-BB57-0BEFCF89A16B 4 0.3290 0.6072 0.000 0.252 0.000 0.744 0.004 0.000
#> E16AD7E1-29DA-4B8F-8B12-A8A6BBAA9174 4 0.0000 0.8935 0.000 0.000 0.000 1.000 0.000 0.000
#> 8B4E465B-0FD5-4154-824B-1E6B2656FD2F 1 0.0603 0.8508 0.980 0.004 0.000 0.000 0.016 0.000
#> 022275BA-F672-49C5-887B-CCF24A20848F 6 0.2003 0.8493 0.000 0.116 0.000 0.000 0.000 0.884
#> 3BCD8BE5-753D-43EF-B830-EA4356620A5C 1 0.1866 0.7864 0.908 0.084 0.000 0.000 0.008 0.000
#> 7999ABCD-7441-4437-AE78-7BF5F7FBBE36 2 0.0935 0.8161 0.000 0.964 0.000 0.004 0.000 0.032
#> 430F00C9-0891-4C92-902C-A65022FE4E1E 3 0.0000 0.9403 0.000 0.000 1.000 0.000 0.000 0.000
#> 70203945-80F8-4FA7-8C99-FEBAD3374103 1 0.0458 0.8488 0.984 0.016 0.000 0.000 0.000 0.000
#> B7A23896-4182-48D3-A1D9-92C781BF283F 1 0.0520 0.8466 0.984 0.008 0.000 0.000 0.008 0.000
#> 6D48B494-BA7C-4047-8402-4F26DDD3C2FB 4 0.1141 0.8682 0.000 0.000 0.052 0.948 0.000 0.000
#> 2CB84056-3B7C-4E12-9403-596B76CCF96B 2 0.2056 0.8175 0.000 0.904 0.000 0.080 0.012 0.004
#> 3C612089-3AF3-4999-9F46-3EF083AFF90D 4 0.1663 0.8402 0.000 0.000 0.088 0.912 0.000 0.000
#> FCD3124F-0F41-448E-B2B9-D9934D4EC1A7 1 0.0713 0.8465 0.972 0.000 0.000 0.000 0.028 0.000
#> 1AF629F5-3C10-43F2-B507-E330D4BAA9AD 4 0.1610 0.8512 0.000 0.000 0.000 0.916 0.000 0.084
#> A3153235-3128-40AC-9371-AFA1F61E3E59 4 0.3982 0.2580 0.000 0.000 0.000 0.536 0.460 0.004
#> CE7A3262-C48A-43BF-941C-9D2482B9CACD 1 0.0547 0.8492 0.980 0.000 0.000 0.000 0.020 0.000
#> 7C6AF8DD-EFA4-4AD7-8AAC-918D686D78BA 3 0.3702 0.7026 0.164 0.044 0.784 0.000 0.008 0.000
#> 113D7756-712E-4EB4-9993-BBAF3C41AFEF 1 0.0622 0.8506 0.980 0.008 0.000 0.000 0.012 0.000
#> E6090BC6-D29D-4401-990A-251930CC6853 4 0.0146 0.8930 0.000 0.000 0.004 0.996 0.000 0.000
#> 4A54E284-9902-4E4C-A5BC-1BF144106EA3 1 0.0713 0.8462 0.972 0.000 0.000 0.000 0.028 0.000
#> 28B7B2FC-8270-42E3-95ED-4CC4F0979EE9 4 0.0000 0.8935 0.000 0.000 0.000 1.000 0.000 0.000
#> 745233F1-DF41-4DDA-9146-1666DD59355E 2 0.3852 0.4517 0.000 0.612 0.000 0.384 0.004 0.000
#> B614FC9C-BFE0-4C15-BB5E-DAF4FA9D11D5 1 0.4217 0.1312 0.524 0.464 0.000 0.000 0.008 0.004
#> 743F5644-F650-437A-B4AE-4972F88606D8 6 0.4242 0.1085 0.000 0.016 0.000 0.448 0.000 0.536
#> 19EBA5E0-D299-4166-834A-256294572121 4 0.0000 0.8935 0.000 0.000 0.000 1.000 0.000 0.000
#> 47757643-A7B2-4782-8DAF-AE56BE8777D2 3 0.3810 0.2493 0.000 0.000 0.572 0.428 0.000 0.000
#> A84E45CA-971F-45D8-B7C7-E3562F2B51F3 5 0.1477 0.6588 0.000 0.008 0.000 0.048 0.940 0.004
#> C6A16A8F-0AB7-42E9-A068-15EECF2912D3 5 0.1588 0.6488 0.000 0.000 0.000 0.072 0.924 0.004
#> A07BA2E1-CCA0-4231-A391-B13383A2BCB9 5 0.4015 0.5578 0.372 0.000 0.000 0.000 0.616 0.012
#> 3A29E7E3-412D-45CB-98A8-CE39EAC4233A 1 0.1737 0.8397 0.932 0.020 0.000 0.000 0.040 0.008
#> D26C6966-AF3E-4BEB-9A0B-732AF94D7756 6 0.1053 0.8808 0.000 0.004 0.020 0.012 0.000 0.964
#> EE4F9349-F750-4471-BFE7-7230784569E1 5 0.3615 0.3976 0.000 0.000 0.000 0.292 0.700 0.008
#> 6D239281-7408-49EF-9B9B-F11EAC959F1C 4 0.0603 0.8894 0.000 0.004 0.016 0.980 0.000 0.000
#> 30D8578D-0B48-4D03-9E39-6425494ECD5C 1 0.1007 0.8376 0.956 0.000 0.000 0.000 0.044 0.000
#> 9BB56866-4E99-4E8A-A63F-2D4801558F14 1 0.0725 0.8510 0.976 0.012 0.000 0.000 0.012 0.000
#> 034EEEB2-4BB6-4C72-A63A-C2012C43B4D7 2 0.4228 0.6043 0.168 0.752 0.004 0.000 0.008 0.068
#> 0093DCB6-A7C8-4841-8383-0671A71DDA71 4 0.0363 0.8916 0.000 0.000 0.000 0.988 0.000 0.012
#> D35E148D-0537-4186-8B19-17915782AF18 4 0.0000 0.8935 0.000 0.000 0.000 1.000 0.000 0.000
#> CBE04BB7-A357-484D-BFDB-2CAEEC629123 4 0.0937 0.8801 0.000 0.000 0.000 0.960 0.000 0.040
#> 7DC6D598-8506-4680-81DF-C1D0F1B5C27D 4 0.0547 0.8872 0.000 0.000 0.020 0.980 0.000 0.000
#> DD028798-C4CB-43A8-81D7-711E015E23B5 2 0.1777 0.8264 0.000 0.932 0.000 0.032 0.012 0.024
#> DEACC29A-6DEF-4728-AFEB-15D7BDA850CA 6 0.0363 0.8827 0.000 0.000 0.000 0.012 0.000 0.988
#> 21D48ADE-2798-4380-999A-9485A70E7D2A 4 0.0520 0.8896 0.000 0.008 0.008 0.984 0.000 0.000
#> 2DAB6792-F9AF-4565-BDD5-C9802F3132F4 1 0.0405 0.8475 0.988 0.008 0.000 0.000 0.004 0.000
#> 47E7CB22-BC33-4D50-AF1B-5134C350B9D4 1 0.0725 0.8445 0.976 0.012 0.000 0.000 0.012 0.000
#> 332283CB-F855-4493-A259-7852FD37B9DC 4 0.0000 0.8935 0.000 0.000 0.000 1.000 0.000 0.000
#> 060C8F0B-DAB8-43DB-80C9-3404AFCC0B7D 6 0.0363 0.8827 0.000 0.000 0.000 0.012 0.000 0.988
#> 1AF24109-5FE4-4868-ADB9-5DFDB57BCA0F 4 0.1296 0.8729 0.000 0.032 0.000 0.952 0.012 0.004
#> 5547236E-885B-4CE8-B733-9D2E2D60941C 2 0.1074 0.8221 0.000 0.960 0.028 0.012 0.000 0.000
#> 0F797735-CCCA-4BEA-BB94-C524E7D0A875 6 0.0777 0.8887 0.000 0.024 0.000 0.004 0.000 0.972
#> A7D9F5B1-D8C2-440F-A0B7-8B5641C2DA66 4 0.4570 0.6336 0.000 0.152 0.000 0.700 0.000 0.148
#> 09E07A63-5FD2-4E4F-9FD5-2BB204302232 4 0.0508 0.8910 0.000 0.000 0.004 0.984 0.000 0.012
#> 6F4F72B3-E2B1-48DD-B9F4-C03AFCE79566 6 0.1957 0.8513 0.000 0.112 0.000 0.000 0.000 0.888
#> 6E2BE9AA-5DB6-45A4-80E0-C20F074C6CE6 3 0.0000 0.9403 0.000 0.000 1.000 0.000 0.000 0.000
#> 61D1FD4D-F0FF-4D89-B26F-C1102685ED9D 1 0.2562 0.7088 0.828 0.000 0.000 0.000 0.172 0.000
#> 8ACC0F29-A39E-4C1C-A04C-ED6E5FA80C24 5 0.0777 0.7036 0.024 0.000 0.000 0.000 0.972 0.004
#> 4992152D-1D3D-4156-9D80-1B6810AAE78F 4 0.0000 0.8935 0.000 0.000 0.000 1.000 0.000 0.000
#> 3B7F80E6-74A7-4DA1-AC4B-C260B6BE880A 1 0.0622 0.8507 0.980 0.012 0.000 0.000 0.008 0.000
#> B4030747-7C26-4B9B-A5CB-E1F56D9B1281 2 0.1471 0.8247 0.000 0.932 0.000 0.064 0.004 0.000
#> C14BEAAE-A766-4ADE-A9B4-674D8717591F 5 0.3854 0.3750 0.464 0.000 0.000 0.000 0.536 0.000
#> 111625A4-390B-4D8C-BF80-020062CE9D89 4 0.0363 0.8913 0.000 0.000 0.012 0.988 0.000 0.000
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#> AFE5BFD1-AA9F-470A-A44F-341126F8057D 5 0.1779 0.7199 0.064 0.000 0.000 0.000 0.920 0.016
#> 8D39DD37-3B56-4788-B256-D924EBF2BD21 4 0.0146 0.8930 0.000 0.000 0.004 0.996 0.000 0.000
#> 56BBED6E-8ADB-430B-A85C-D3773F929447 1 0.1297 0.8371 0.948 0.000 0.000 0.000 0.040 0.012
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#> 431EAB8C-D0B4-4440-A2B6-1D001B0026E2 4 0.0508 0.8910 0.000 0.000 0.004 0.984 0.000 0.012
#> 45AFEFED-3C26-4511-B185-C08E3CFD79F5 3 0.0458 0.9302 0.000 0.000 0.984 0.016 0.000 0.000
#> 8C34CD93-1AC0-4920-9E72-439EED0CF85D 2 0.0909 0.8242 0.000 0.968 0.000 0.020 0.000 0.012
#> 3FFD7969-3D39-4219-B3C5-A9FF0C127724 3 0.0000 0.9403 0.000 0.000 1.000 0.000 0.000 0.000
#> 2566FDAC-EF10-4996-8890-FA0BEC771676 5 0.3922 0.6189 0.320 0.016 0.000 0.000 0.664 0.000
#> 0636DD62-C493-47CC-A120-9759FB6980CD 1 0.0458 0.8497 0.984 0.000 0.000 0.000 0.016 0.000
#> 9850FF42-592C-4406-A5B3-52109E0E4E70 4 0.0000 0.8935 0.000 0.000 0.000 1.000 0.000 0.000
#> 15FB165D-6751-4894-A904-C77EA723CFCB 1 0.0405 0.8475 0.988 0.008 0.000 0.000 0.004 0.000
#> 01602D64-57C5-4D95-A6F9-5FB124D398B1 2 0.0790 0.8132 0.000 0.968 0.000 0.000 0.000 0.032
#> 3DC38276-A6D2-49C6-8F54-3F50F6BFAD0C 3 0.0000 0.9403 0.000 0.000 1.000 0.000 0.000 0.000
#> C04DEDC8-747C-4053-BB23-225C9FD9FC5F 1 0.0622 0.8485 0.980 0.012 0.000 0.000 0.008 0.000
#> D837BDD1-8786-4548-8D5F-8506AECF2006 4 0.2048 0.8217 0.000 0.000 0.000 0.880 0.000 0.120
#> D06FFD0C-80D4-413D-9C83-62D9C163EDAB 1 0.0458 0.8502 0.984 0.000 0.000 0.000 0.016 0.000
#> C543A527-3E25-4389-9722-E9325C733243 2 0.0820 0.8235 0.000 0.972 0.000 0.016 0.000 0.012
#> B9E0623C-E3AC-4B2B-983E-C2246AD0DB00 4 0.1010 0.8812 0.000 0.000 0.004 0.960 0.000 0.036
#> 31D3488A-212B-4818-8F09-EBF1E8B135AD 2 0.0291 0.8186 0.004 0.992 0.000 0.000 0.004 0.000
#> EC795554-AF2E-4EEF-B8A4-05549BFA1CC6 5 0.0858 0.7044 0.028 0.004 0.000 0.000 0.968 0.000
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#> 6F0A1EAE-1DBE-4C19-BC3A-DB41CE9C56DA 4 0.0000 0.8935 0.000 0.000 0.000 1.000 0.000 0.000
#> FBB4DAFD-11F1-498F-95C5-73D8B735465B 1 0.0622 0.8505 0.980 0.008 0.000 0.000 0.012 0.000
#> E9FC1686-028B-476C-B51B-4956213D874B 1 0.0260 0.8488 0.992 0.008 0.000 0.000 0.000 0.000
#> DD203D19-D635-4112-AF75-9724E0A64A0B 1 0.0717 0.8506 0.976 0.008 0.000 0.000 0.016 0.000
#> B7B9B5C1-C11D-47B8-B2F8-A5660AB961C1 2 0.4463 0.1709 0.000 0.508 0.000 0.468 0.020 0.004
#> B9535625-504A-4FCD-B341-2985AE72508A 1 0.0458 0.8502 0.984 0.000 0.000 0.000 0.016 0.000
#> 44B1F003-553A-4C8A-A6AE-44C49262081C 1 0.0520 0.8458 0.984 0.008 0.000 0.000 0.008 0.000
#> 507DED46-D79C-4A9F-BCF9-22E9C2CFD334 6 0.3339 0.8014 0.000 0.144 0.028 0.012 0.000 0.816
#> 0A7A28BA-9D46-4D4F-A0A5-B3F9AA8DF29B 2 0.1462 0.8255 0.000 0.936 0.000 0.056 0.008 0.000
#> 33060001-05C9-4751-AA58-F194207ACC08 2 0.0922 0.8266 0.000 0.968 0.000 0.024 0.004 0.004
#> B2D8ED43-A698-4165-9A96-0ADEEFDA29ED 2 0.1297 0.8270 0.000 0.948 0.000 0.040 0.012 0.000
#> 635170D3-D669-4165-B69C-9C9A246BFF11 6 0.1007 0.8838 0.000 0.044 0.000 0.000 0.000 0.956
#> 85EE23A9-B5E4-49F7-A504-CEF2EB4E4E7E 4 0.1814 0.8384 0.000 0.000 0.000 0.900 0.000 0.100
#> 07463FB6-787C-4FAC-8954-C694EEF27F69 2 0.5649 0.3573 0.000 0.464 0.000 0.132 0.400 0.004
#> 53BA607F-7939-40D9-BEFA-DC4ABDC7630B 2 0.1606 0.8257 0.000 0.932 0.000 0.056 0.008 0.004
#> BE6A3670-34C4-4FD3-9794-C5B3254D9224 2 0.1251 0.8262 0.000 0.956 0.000 0.024 0.008 0.012
#> 4A4E96B0-5AC6-4B7D-AB1C-F814C338589C 4 0.2772 0.7216 0.000 0.180 0.000 0.816 0.000 0.004
#> F486AD48-51EA-4C65-8203-DCE72B6C2148 2 0.3163 0.6577 0.000 0.764 0.232 0.004 0.000 0.000
#> A280A4AF-0687-40CA-8804-C6173B33E732 1 0.0520 0.8466 0.984 0.008 0.000 0.000 0.008 0.000
#> 152AC0F4-B49F-49AE-BF76-45C70CA3FF7F 6 0.0146 0.8846 0.000 0.000 0.000 0.004 0.000 0.996
#> 0E66EFB0-712B-4A52-8F75-A37F030CABEF 1 0.0458 0.8497 0.984 0.000 0.000 0.000 0.016 0.000
#> 093A32DA-49D0-4F4C-9000-4F47B4700F4E 3 0.0000 0.9403 0.000 0.000 1.000 0.000 0.000 0.000
#> 0915FD2C-0C30-4437-83BA-DFBDF3CDBC61 2 0.3944 0.1932 0.000 0.568 0.000 0.000 0.004 0.428
#> 293E6D35-8392-4C44-BC18-F917989516B0 4 0.0260 0.8926 0.000 0.000 0.000 0.992 0.000 0.008
#> 2B4FA61A-C1A7-49BD-9438-2865D386EAF2 5 0.0777 0.6783 0.000 0.000 0.000 0.024 0.972 0.004
#> 7ACD648E-76FD-4C83-86AA-51F581A0B09C 2 0.1426 0.8267 0.000 0.948 0.000 0.028 0.008 0.016
#> 8AACDB46-9BB3-42BA-871D-7A593F14430A 3 0.0000 0.9403 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
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