Date: 2019-12-26 01:37:47 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 17377 rows and 265 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] 17377 265
The density distribution for each sample is visualized as in one column in the following heatmap. The clustering is based on the distance which is the Kolmogorov-Smirnov statistic between two distributions.
library(ComplexHeatmap)
densityHeatmap(mat, ylab = "value", cluster_columns = TRUE, show_column_names = FALSE,
mc.cores = 4)
Folowing table shows the best k (number of partitions) for each combination
of top-value methods and partition methods. Clicking on the method name in
the table goes to the section for a single combination of methods.
The cola vignette explains the definition of the metrics used for determining the best number of partitions.
suggest_best_k(res_list)
| The best k | 1-PAC | Mean silhouette | Concordance | Optional k | ||
|---|---|---|---|---|---|---|
| SD:pam | 2 | 1.000 | 0.974 | 0.990 | ** | |
| SD:mclust | 2 | 1.000 | 0.974 | 0.989 | ** | |
| MAD:pam | 2 | 1.000 | 0.965 | 0.984 | ** | |
| MAD:mclust | 2 | 1.000 | 0.956 | 0.984 | ** | |
| ATC:kmeans | 2 | 1.000 | 0.981 | 0.992 | ** | |
| ATC:skmeans | 3 | 1.000 | 0.974 | 0.986 | ** | 2 |
| CV:pam | 2 | 0.992 | 0.950 | 0.979 | ** | |
| ATC:mclust | 3 | 0.985 | 0.932 | 0.968 | ** | 2 |
| ATC:pam | 2 | 0.984 | 0.967 | 0.985 | ** | |
| CV:kmeans | 3 | 0.982 | 0.939 | 0.947 | ** | |
| ATC:NMF | 3 | 0.952 | 0.941 | 0.976 | ** | 2 |
| SD:skmeans | 5 | 0.942 | 0.915 | 0.961 | * | 2,3,4 |
| CV:NMF | 3 | 0.941 | 0.933 | 0.973 | * | |
| MAD:skmeans | 5 | 0.940 | 0.896 | 0.954 | * | 2,3,4 |
| CV:mclust | 3 | 0.933 | 0.906 | 0.964 | * | |
| MAD:NMF | 3 | 0.927 | 0.921 | 0.967 | * | 2 |
| MAD:kmeans | 3 | 0.926 | 0.925 | 0.955 | * | |
| CV:skmeans | 4 | 0.915 | 0.865 | 0.942 | * | 2,3 |
| CV:hclust | 2 | 0.913 | 0.935 | 0.971 | * | |
| SD:NMF | 5 | 0.908 | 0.860 | 0.934 | * | 2,3 |
| SD:kmeans | 2 | 0.760 | 0.869 | 0.948 | ||
| SD:hclust | 2 | 0.654 | 0.898 | 0.941 | ||
| ATC:hclust | 3 | 0.427 | 0.658 | 0.822 | ||
| MAD:hclust | 2 | 0.350 | 0.769 | 0.865 |
**: 1-PAC > 0.95, *: 1-PAC > 0.9
Cumulative distribution function curves of consensus matrix for all methods.
collect_plots(res_list, fun = plot_ecdf)
Consensus heatmaps for all methods. (What is a consensus heatmap?)
collect_plots(res_list, k = 2, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 3, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 4, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 5, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 6, fun = consensus_heatmap, mc.cores = 4)
Membership heatmaps for all methods. (What is a membership heatmap?)
collect_plots(res_list, k = 2, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 3, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 4, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 5, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 6, fun = membership_heatmap, mc.cores = 4)
Signature heatmaps for all methods. (What is a signature heatmap?)
Note in following heatmaps, rows are scaled.
collect_plots(res_list, k = 2, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 3, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 4, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 5, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 6, fun = get_signatures, mc.cores = 4)
The statistics used for measuring the stability of consensus partitioning. (How are they defined?)
get_stats(res_list, k = 2)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 2 0.976 0.958 0.982 0.469 0.528 0.528
#> CV:NMF 2 0.802 0.848 0.940 0.460 0.555 0.555
#> MAD:NMF 2 0.968 0.963 0.984 0.480 0.521 0.521
#> ATC:NMF 2 0.945 0.954 0.979 0.421 0.577 0.577
#> SD:skmeans 2 1.000 0.987 0.994 0.494 0.506 0.506
#> CV:skmeans 2 1.000 0.986 0.994 0.493 0.507 0.507
#> MAD:skmeans 2 1.000 0.981 0.992 0.493 0.508 0.508
#> ATC:skmeans 2 1.000 0.973 0.989 0.501 0.500 0.500
#> SD:mclust 2 1.000 0.974 0.989 0.438 0.560 0.560
#> CV:mclust 2 0.746 0.891 0.950 0.460 0.563 0.563
#> MAD:mclust 2 1.000 0.956 0.984 0.430 0.565 0.565
#> ATC:mclust 2 1.000 0.982 0.993 0.438 0.568 0.568
#> SD:kmeans 2 0.760 0.869 0.948 0.449 0.574 0.574
#> CV:kmeans 2 0.434 0.850 0.861 0.379 0.514 0.514
#> MAD:kmeans 2 0.837 0.904 0.957 0.460 0.525 0.525
#> ATC:kmeans 2 1.000 0.981 0.992 0.495 0.506 0.506
#> SD:pam 2 1.000 0.974 0.990 0.413 0.589 0.589
#> CV:pam 2 0.992 0.950 0.979 0.400 0.606 0.606
#> MAD:pam 2 1.000 0.965 0.984 0.414 0.593 0.593
#> ATC:pam 2 0.984 0.967 0.985 0.469 0.528 0.528
#> SD:hclust 2 0.654 0.898 0.941 0.486 0.505 0.505
#> CV:hclust 2 0.913 0.935 0.971 0.196 0.822 0.822
#> MAD:hclust 2 0.350 0.769 0.865 0.471 0.505 0.505
#> ATC:hclust 2 0.354 0.693 0.860 0.415 0.545 0.545
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.972 0.946 0.978 0.382 0.769 0.584
#> CV:NMF 3 0.941 0.933 0.973 0.390 0.779 0.611
#> MAD:NMF 3 0.927 0.921 0.967 0.384 0.722 0.509
#> ATC:NMF 3 0.952 0.941 0.976 0.515 0.657 0.465
#> SD:skmeans 3 0.909 0.934 0.970 0.341 0.743 0.533
#> CV:skmeans 3 0.945 0.936 0.972 0.297 0.806 0.635
#> MAD:skmeans 3 0.963 0.932 0.972 0.344 0.737 0.524
#> ATC:skmeans 3 1.000 0.974 0.986 0.285 0.803 0.626
#> SD:mclust 3 0.693 0.726 0.853 0.481 0.767 0.592
#> CV:mclust 3 0.933 0.906 0.964 0.290 0.832 0.707
#> MAD:mclust 3 0.580 0.741 0.815 0.509 0.765 0.590
#> ATC:mclust 3 0.985 0.932 0.968 0.143 0.931 0.880
#> SD:kmeans 3 0.797 0.832 0.920 0.446 0.760 0.583
#> CV:kmeans 3 0.982 0.939 0.947 0.477 0.922 0.849
#> MAD:kmeans 3 0.926 0.925 0.955 0.437 0.708 0.493
#> ATC:kmeans 3 0.756 0.826 0.873 0.329 0.724 0.506
#> SD:pam 3 0.635 0.789 0.881 0.587 0.732 0.551
#> CV:pam 3 0.615 0.797 0.849 0.543 0.713 0.536
#> MAD:pam 3 0.742 0.800 0.918 0.589 0.739 0.564
#> ATC:pam 3 0.810 0.858 0.936 0.375 0.672 0.455
#> SD:hclust 3 0.715 0.843 0.911 0.169 0.910 0.823
#> CV:hclust 3 0.425 0.737 0.768 1.275 0.648 0.573
#> MAD:hclust 3 0.351 0.661 0.812 0.155 0.899 0.812
#> ATC:hclust 3 0.427 0.658 0.822 0.516 0.646 0.437
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.870 0.869 0.943 0.150 0.860 0.624
#> CV:NMF 4 0.839 0.817 0.908 0.162 0.847 0.601
#> MAD:NMF 4 0.856 0.844 0.927 0.123 0.877 0.655
#> ATC:NMF 4 0.716 0.753 0.877 0.122 0.895 0.723
#> SD:skmeans 4 0.914 0.892 0.957 0.118 0.840 0.578
#> CV:skmeans 4 0.915 0.865 0.942 0.163 0.850 0.610
#> MAD:skmeans 4 0.928 0.915 0.963 0.116 0.873 0.649
#> ATC:skmeans 4 0.887 0.881 0.942 0.114 0.906 0.747
#> SD:mclust 4 0.764 0.813 0.898 0.127 0.901 0.724
#> CV:mclust 4 0.706 0.754 0.839 0.131 0.944 0.865
#> MAD:mclust 4 0.637 0.722 0.831 0.127 0.892 0.697
#> ATC:mclust 4 0.682 0.664 0.825 0.248 0.897 0.797
#> SD:kmeans 4 0.704 0.783 0.861 0.118 0.836 0.575
#> CV:kmeans 4 0.653 0.496 0.761 0.211 0.932 0.848
#> MAD:kmeans 4 0.698 0.743 0.839 0.113 0.840 0.576
#> ATC:kmeans 4 0.799 0.858 0.919 0.105 0.818 0.539
#> SD:pam 4 0.826 0.848 0.921 0.135 0.907 0.729
#> CV:pam 4 0.718 0.786 0.866 0.150 0.926 0.790
#> MAD:pam 4 0.771 0.809 0.874 0.130 0.839 0.577
#> ATC:pam 4 0.734 0.813 0.906 0.143 0.838 0.575
#> SD:hclust 4 0.578 0.593 0.694 0.210 0.846 0.641
#> CV:hclust 4 0.659 0.788 0.878 0.317 0.885 0.770
#> MAD:hclust 4 0.510 0.492 0.724 0.220 0.801 0.589
#> ATC:hclust 4 0.517 0.587 0.745 0.148 0.842 0.594
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.908 0.860 0.934 0.0550 0.885 0.606
#> CV:NMF 5 0.838 0.802 0.874 0.0620 0.914 0.688
#> MAD:NMF 5 0.809 0.793 0.888 0.0517 0.876 0.579
#> ATC:NMF 5 0.724 0.620 0.805 0.0956 0.829 0.502
#> SD:skmeans 5 0.942 0.915 0.961 0.0655 0.888 0.618
#> CV:skmeans 5 0.851 0.878 0.917 0.0616 0.897 0.638
#> MAD:skmeans 5 0.940 0.896 0.954 0.0670 0.889 0.619
#> ATC:skmeans 5 0.854 0.815 0.917 0.0812 0.931 0.768
#> SD:mclust 5 0.788 0.796 0.888 0.0589 0.940 0.784
#> CV:mclust 5 0.655 0.601 0.727 0.0793 0.923 0.794
#> MAD:mclust 5 0.685 0.694 0.799 0.0553 0.945 0.798
#> ATC:mclust 5 0.687 0.700 0.842 0.1193 0.910 0.786
#> SD:kmeans 5 0.767 0.738 0.791 0.0714 0.901 0.658
#> CV:kmeans 5 0.654 0.496 0.699 0.1116 0.807 0.534
#> MAD:kmeans 5 0.726 0.734 0.788 0.0668 0.912 0.683
#> ATC:kmeans 5 0.763 0.743 0.839 0.0755 0.865 0.563
#> SD:pam 5 0.894 0.885 0.948 0.0506 0.946 0.798
#> CV:pam 5 0.796 0.796 0.891 0.0806 0.925 0.746
#> MAD:pam 5 0.894 0.842 0.932 0.0620 0.939 0.770
#> ATC:pam 5 0.842 0.810 0.920 0.0579 0.947 0.797
#> SD:hclust 5 0.614 0.483 0.695 0.0756 0.846 0.552
#> CV:hclust 5 0.683 0.748 0.848 0.0991 0.993 0.983
#> MAD:hclust 5 0.566 0.653 0.724 0.1174 0.846 0.536
#> ATC:hclust 5 0.573 0.541 0.698 0.0649 0.930 0.749
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.850 0.762 0.885 0.0275 0.961 0.830
#> CV:NMF 6 0.847 0.855 0.902 0.0430 0.937 0.720
#> MAD:NMF 6 0.818 0.747 0.868 0.0241 0.941 0.753
#> ATC:NMF 6 0.705 0.561 0.739 0.0445 0.886 0.564
#> SD:skmeans 6 0.881 0.876 0.917 0.0464 0.960 0.812
#> CV:skmeans 6 0.898 0.893 0.918 0.0460 0.953 0.779
#> MAD:skmeans 6 0.830 0.736 0.843 0.0444 0.950 0.765
#> ATC:skmeans 6 0.852 0.823 0.903 0.0346 0.959 0.827
#> SD:mclust 6 0.773 0.715 0.816 0.0401 0.977 0.903
#> CV:mclust 6 0.660 0.669 0.751 0.0546 0.896 0.690
#> MAD:mclust 6 0.665 0.548 0.725 0.0392 0.937 0.750
#> ATC:mclust 6 0.619 0.627 0.769 0.1011 0.824 0.527
#> SD:kmeans 6 0.745 0.679 0.782 0.0455 0.937 0.718
#> CV:kmeans 6 0.679 0.794 0.771 0.0590 0.879 0.560
#> MAD:kmeans 6 0.738 0.688 0.779 0.0400 0.936 0.714
#> ATC:kmeans 6 0.769 0.674 0.817 0.0475 0.941 0.737
#> SD:pam 6 0.894 0.874 0.943 0.0504 0.950 0.774
#> CV:pam 6 0.886 0.852 0.931 0.0532 0.940 0.751
#> MAD:pam 6 0.810 0.758 0.846 0.0420 0.944 0.746
#> ATC:pam 6 0.780 0.678 0.841 0.0361 0.935 0.739
#> SD:hclust 6 0.664 0.669 0.764 0.0475 0.882 0.592
#> CV:hclust 6 0.668 0.559 0.777 0.0566 0.918 0.802
#> MAD:hclust 6 0.659 0.651 0.789 0.0618 0.985 0.930
#> ATC:hclust 6 0.614 0.498 0.663 0.0398 0.910 0.651
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 17377 rows and 265 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 0.654 0.898 0.941 0.4865 0.505 0.505
#> 3 3 0.715 0.843 0.911 0.1689 0.910 0.823
#> 4 4 0.578 0.593 0.694 0.2101 0.846 0.641
#> 5 5 0.614 0.483 0.695 0.0756 0.846 0.552
#> 6 6 0.664 0.669 0.764 0.0475 0.882 0.592
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.937 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.3733 0.919 0.928 0.072
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.937 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.937 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.4161 0.913 0.916 0.084
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.937 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.7219 0.811 0.800 0.200
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.937 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.937 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0938 0.938 0.988 0.012
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.4562 0.908 0.904 0.096
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.937 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.937 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 2 0.7376 0.771 0.208 0.792
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.937 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0938 0.938 0.988 0.012
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0938 0.938 0.988 0.012
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 2 0.1184 0.931 0.016 0.984
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#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.937 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.937 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.937 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 2 0.0672 0.935 0.008 0.992
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.937 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.937 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.937 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0376 0.938 0.996 0.004
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.1843 0.936 0.972 0.028
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.4431 0.909 0.908 0.092
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.4562 0.909 0.904 0.096
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.8499 0.637 0.276 0.724
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.3733 0.920 0.928 0.072
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.4562 0.909 0.904 0.096
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 2 0.0672 0.935 0.008 0.992
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.7219 0.811 0.800 0.200
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.937 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.937 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.937 1.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0938 0.939 0.988 0.012
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.937 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.937 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.3114 0.903 0.056 0.944
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.937 0.000 1.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.8327 0.707 0.736 0.264
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.937 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.937 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.937 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 2 0.6973 0.792 0.188 0.812
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0376 0.936 0.004 0.996
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.4022 0.916 0.920 0.080
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.6438 0.805 0.164 0.836
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.937 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.937 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0376 0.938 0.996 0.004
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.1843 0.936 0.972 0.028
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.4562 0.909 0.904 0.096
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.5737 0.877 0.864 0.136
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.937 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0376 0.936 0.004 0.996
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.4022 0.916 0.920 0.080
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0938 0.938 0.988 0.012
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.937 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.937 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.937 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.4161 0.913 0.916 0.084
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.8327 0.722 0.736 0.264
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.937 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.937 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.937 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.3431 0.927 0.936 0.064
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.937 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.937 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.6438 0.805 0.164 0.836
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.4022 0.921 0.920 0.080
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.937 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.937 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.937 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.914 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.2804 0.909 0.924 0.060 0.016
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.914 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.914 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.3155 0.907 0.916 0.040 0.044
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.914 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.5892 0.814 0.796 0.100 0.104
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.914 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.914 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0661 0.932 0.988 0.004 0.008
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.3207 0.899 0.904 0.084 0.012
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.914 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.914 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0237 0.725 0.000 0.004 0.996
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.914 0.000 1.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0661 0.932 0.988 0.008 0.004
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0661 0.932 0.988 0.004 0.008
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.6075 0.758 0.008 0.316 0.676
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.1482 0.929 0.968 0.020 0.012
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.931 1.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.9975 -0.307 0.368 0.312 0.320
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.931 1.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.3528 0.893 0.892 0.092 0.016
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0237 0.725 0.000 0.004 0.996
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.914 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.914 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.931 1.000 0.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0661 0.932 0.988 0.008 0.004
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.931 1.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.931 1.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.5892 0.814 0.796 0.100 0.104
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0661 0.932 0.988 0.004 0.008
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.931 1.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.931 1.000 0.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.914 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.931 1.000 0.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.6027 0.587 0.164 0.776 0.060
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.9914 -0.268 0.272 0.380 0.348
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 2 0.9938 -0.281 0.280 0.368 0.352
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.6949 0.734 0.732 0.112 0.156
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.5760 0.751 0.000 0.328 0.672
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.914 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.9598 0.448 0.276 0.248 0.476
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.6129 0.753 0.008 0.324 0.668
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.914 0.000 1.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.914 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.5733 0.755 0.000 0.324 0.676
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.3502 0.897 0.896 0.084 0.020
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0237 0.932 0.996 0.000 0.004
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.914 0.000 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.5966 0.809 0.792 0.104 0.104
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.1482 0.929 0.968 0.012 0.020
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.1315 0.931 0.972 0.008 0.020
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.3550 0.896 0.896 0.080 0.024
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.3042 0.910 0.920 0.040 0.040
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0475 0.932 0.992 0.004 0.004
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.1411 0.741 0.000 0.036 0.964
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.931 1.000 0.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.931 1.000 0.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.914 0.000 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.914 0.000 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.914 0.000 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.931 1.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.3207 0.899 0.904 0.084 0.012
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0661 0.932 0.988 0.004 0.008
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.6322 0.790 0.772 0.108 0.120
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.931 1.000 0.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.3550 0.896 0.896 0.080 0.024
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.931 1.000 0.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.3141 0.908 0.912 0.068 0.020
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0475 0.932 0.992 0.004 0.004
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.3550 0.896 0.896 0.080 0.024
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.914 0.000 1.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.914 0.000 1.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.9906 -0.252 0.272 0.388 0.340
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.914 0.000 1.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.5094 0.839 0.824 0.136 0.040
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.1411 0.741 0.000 0.036 0.964
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.931 1.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0592 0.933 0.988 0.012 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.914 0.000 1.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.4807 0.864 0.848 0.092 0.060
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.1482 0.929 0.968 0.012 0.020
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.931 1.000 0.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.5760 0.751 0.000 0.328 0.672
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.4121 0.886 0.876 0.084 0.040
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.931 1.000 0.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.914 0.000 1.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.914 0.000 1.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0237 0.932 0.996 0.000 0.004
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.931 1.000 0.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0661 0.932 0.988 0.004 0.008
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.8582 0.647 0.124 0.308 0.568
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.914 0.000 1.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.5892 0.814 0.796 0.100 0.104
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.5892 0.814 0.796 0.100 0.104
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0661 0.933 0.988 0.008 0.004
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.931 1.000 0.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0475 0.932 0.992 0.004 0.004
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0000 0.931 1.000 0.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0829 0.931 0.984 0.004 0.012
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.914 0.000 1.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.5706 0.758 0.000 0.320 0.680
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.1620 0.928 0.964 0.012 0.024
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.914 0.000 1.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.1529 0.742 0.000 0.040 0.960
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.1411 0.741 0.000 0.036 0.964
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0424 0.932 0.992 0.008 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.5706 0.757 0.000 0.320 0.680
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.931 1.000 0.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.914 0.000 1.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0424 0.932 0.992 0.000 0.008
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.5423 0.840 0.820 0.084 0.096
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.1482 0.928 0.968 0.012 0.020
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.5706 0.758 0.000 0.320 0.680
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.2939 0.910 0.916 0.072 0.012
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0237 0.725 0.000 0.004 0.996
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.6949 0.734 0.732 0.112 0.156
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0848 0.931 0.984 0.008 0.008
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.8508 0.660 0.160 0.232 0.608
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0661 0.932 0.988 0.004 0.008
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.1711 0.926 0.960 0.008 0.032
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.1015 0.931 0.980 0.012 0.008
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.914 0.000 1.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.5902 0.760 0.004 0.316 0.680
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.3583 0.900 0.900 0.044 0.056
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.931 1.000 0.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.914 0.000 1.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.9914 -0.268 0.272 0.380 0.348
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.914 0.000 1.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.8637 0.650 0.152 0.260 0.588
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.914 0.000 1.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.931 1.000 0.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.914 0.000 1.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.914 0.000 1.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0661 0.932 0.988 0.004 0.008
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.914 0.000 1.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.3359 0.897 0.900 0.084 0.016
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.914 0.000 1.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.5902 0.760 0.004 0.316 0.680
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.5760 0.751 0.000 0.328 0.672
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.2774 0.911 0.920 0.072 0.008
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.914 0.000 1.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.3155 0.907 0.916 0.040 0.044
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.5966 0.809 0.792 0.104 0.104
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.3502 0.896 0.896 0.084 0.020
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0237 0.932 0.996 0.000 0.004
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.5892 0.819 0.796 0.104 0.100
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0661 0.932 0.988 0.004 0.008
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0000 0.931 1.000 0.000 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.5892 0.814 0.796 0.100 0.104
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.931 1.000 0.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.4749 0.852 0.844 0.116 0.040
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.5892 0.814 0.796 0.100 0.104
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.4744 0.846 0.836 0.136 0.028
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.2939 0.910 0.916 0.072 0.012
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.2682 0.910 0.920 0.076 0.004
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0000 0.931 1.000 0.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.1411 0.741 0.000 0.036 0.964
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.5662 0.826 0.808 0.092 0.100
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.914 0.000 1.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.914 0.000 1.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0475 0.932 0.992 0.004 0.004
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0237 0.725 0.000 0.004 0.996
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0661 0.932 0.988 0.004 0.008
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.3141 0.908 0.912 0.068 0.020
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.3359 0.897 0.900 0.084 0.016
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.5760 0.751 0.000 0.328 0.672
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.914 0.000 1.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.914 0.000 1.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.8645 0.528 0.300 0.132 0.568
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.5892 0.814 0.796 0.100 0.104
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.914 0.000 1.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.3042 0.909 0.920 0.040 0.040
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0424 0.932 0.992 0.008 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.914 0.000 1.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0424 0.932 0.992 0.000 0.008
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.5826 0.517 0.204 0.764 0.032
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0237 0.932 0.996 0.000 0.004
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.9873 -0.230 0.268 0.404 0.328
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.914 0.000 1.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.3550 0.896 0.896 0.080 0.024
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0237 0.908 0.004 0.996 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.3263 0.905 0.912 0.040 0.048
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.2866 0.910 0.916 0.076 0.008
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0237 0.725 0.000 0.004 0.996
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.931 1.000 0.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.5892 0.814 0.796 0.100 0.104
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.914 0.000 1.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.2806 0.826 0.032 0.928 0.040
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.3359 0.897 0.900 0.084 0.016
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0661 0.932 0.988 0.008 0.004
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.8645 0.528 0.300 0.132 0.568
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.931 1.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.1411 0.741 0.000 0.036 0.964
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.914 0.000 1.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.914 0.000 1.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.3155 0.907 0.916 0.040 0.044
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.6129 0.753 0.008 0.324 0.668
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.5760 0.751 0.000 0.328 0.672
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.3502 0.897 0.896 0.084 0.020
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.1636 0.927 0.964 0.020 0.016
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.914 0.000 1.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.931 1.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.5733 0.754 0.000 0.324 0.676
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.914 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.2448 0.898 0.924 0.000 0.076
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.914 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.931 1.000 0.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.914 0.000 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.5706 0.758 0.000 0.320 0.680
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.914 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.914 0.000 1.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.914 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0237 0.932 0.996 0.000 0.004
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.1337 0.930 0.972 0.012 0.016
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.3481 0.902 0.904 0.044 0.052
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.3359 0.897 0.900 0.084 0.016
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.9914 -0.268 0.272 0.380 0.348
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.2806 0.913 0.928 0.040 0.032
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.3359 0.897 0.900 0.084 0.016
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.5706 0.758 0.000 0.320 0.680
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.5892 0.814 0.796 0.100 0.104
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.931 1.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.931 1.000 0.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.931 1.000 0.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0661 0.932 0.988 0.008 0.004
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.931 1.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.914 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.7401 0.705 0.048 0.340 0.612
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.914 0.000 1.000 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.6949 0.734 0.732 0.112 0.156
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.914 0.000 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.931 1.000 0.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.914 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.2446 0.740 0.012 0.052 0.936
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0237 0.908 0.004 0.996 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.3042 0.909 0.920 0.040 0.040
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.7975 0.349 0.160 0.660 0.180
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.931 1.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.931 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0475 0.932 0.992 0.004 0.004
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.1163 0.929 0.972 0.028 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.3359 0.897 0.900 0.084 0.016
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.4446 0.865 0.856 0.112 0.032
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.914 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0475 0.904 0.004 0.992 0.004
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.3042 0.909 0.920 0.040 0.040
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0661 0.932 0.988 0.004 0.008
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.914 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.914 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.914 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.3155 0.907 0.916 0.040 0.044
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.6920 0.730 0.732 0.164 0.104
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.914 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.914 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.931 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.2165 0.916 0.936 0.064 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.931 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0237 0.932 0.996 0.000 0.004
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.7327 0.451 0.160 0.708 0.132
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.2774 0.911 0.920 0.072 0.008
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0424 0.932 0.992 0.000 0.008
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.914 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.931 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.1305 0.94198 0.036 0.960 0.004 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 4 0.1677 0.47910 0.040 0.000 0.012 0.948
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.96038 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.1305 0.94198 0.036 0.960 0.004 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.6226 0.37503 0.408 0.020 0.024 0.548
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0336 0.95930 0.008 0.992 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.7314 0.42514 0.372 0.032 0.076 0.520
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.96038 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.1118 0.94389 0.036 0.964 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 4 0.3172 0.29834 0.160 0.000 0.000 0.840
#> 1F101D63-478B-40B9-A951-DC3887CFF067 4 0.3095 0.48056 0.076 0.012 0.020 0.892
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.96038 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0188 0.96018 0.004 0.996 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.1940 0.73003 0.076 0.000 0.924 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1209 0.94445 0.032 0.964 0.004 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.4996 -0.23036 0.484 0.000 0.000 0.516
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 4 0.3356 0.27604 0.176 0.000 0.000 0.824
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.5943 0.77704 0.040 0.216 0.708 0.036
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 4 0.3311 0.34595 0.172 0.000 0.000 0.828
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.4992 0.78884 0.524 0.000 0.000 0.476
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.9911 -0.43481 0.284 0.248 0.280 0.188
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.4804 0.76851 0.616 0.000 0.000 0.384
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.5282 0.46397 0.240 0.028 0.012 0.720
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.1940 0.73003 0.076 0.000 0.924 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.96038 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0336 0.95930 0.008 0.992 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.4992 0.78884 0.524 0.000 0.000 0.476
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#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.4996 -0.23036 0.484 0.000 0.000 0.516
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.7634 0.51558 0.096 0.056 0.576 0.272
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.4907 0.80682 0.580 0.000 0.000 0.420
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.2856 0.74595 0.072 0.024 0.900 0.004
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.96038 0.000 1.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0336 0.95930 0.008 0.992 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.6226 0.37503 0.408 0.020 0.024 0.548
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.6010 0.77272 0.040 0.224 0.700 0.036
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.5992 0.77287 0.048 0.224 0.700 0.028
#> CED15676-B901-4FC8-9C8D-51E529D9441D 4 0.1762 0.48542 0.016 0.012 0.020 0.952
#> 827232CC-8035-440C-8B12-02C789C70B1B 4 0.2408 0.41041 0.104 0.000 0.000 0.896
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0336 0.95930 0.008 0.992 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.4981 0.80084 0.536 0.000 0.000 0.464
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.5832 0.77297 0.040 0.224 0.708 0.028
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.96038 0.000 1.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.6123 0.37343 0.572 0.000 0.056 0.372
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.1118 0.94389 0.036 0.964 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.4992 0.78907 0.524 0.000 0.000 0.476
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0188 0.96018 0.004 0.996 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.5371 0.77115 0.028 0.224 0.728 0.020
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0336 0.95778 0.008 0.992 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0336 0.95930 0.008 0.992 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.96038 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.4776 0.69718 0.624 0.000 0.000 0.376
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 4 0.2868 0.36349 0.136 0.000 0.000 0.864
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.6413 0.36090 0.416 0.020 0.032 0.532
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 4 0.1648 0.48482 0.016 0.012 0.016 0.956
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 3 0.9637 0.52908 0.140 0.216 0.328 0.316
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.5928 0.36658 0.408 0.020 0.012 0.560
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 4 0.1648 0.48482 0.016 0.012 0.016 0.956
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.5371 0.77115 0.028 0.224 0.728 0.020
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.7323 0.42184 0.376 0.032 0.076 0.516
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.4981 0.80084 0.536 0.000 0.000 0.464
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.4877 0.78531 0.592 0.000 0.000 0.408
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.4933 0.81040 0.568 0.000 0.000 0.432
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 4 0.3975 0.11764 0.240 0.000 0.000 0.760
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.4933 0.80622 0.568 0.000 0.000 0.432
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.96038 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.7176 0.75642 0.064 0.224 0.636 0.076
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.1209 0.94445 0.032 0.964 0.004 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.6255 0.42871 0.144 0.012 0.148 0.696
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0336 0.95930 0.008 0.992 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.4933 0.81040 0.568 0.000 0.000 0.432
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.96038 0.000 1.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.3841 0.74521 0.108 0.024 0.852 0.016
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.2570 0.90533 0.052 0.916 0.028 0.004
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.6133 0.37290 0.408 0.020 0.020 0.552
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.8493 0.17144 0.116 0.548 0.152 0.184
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.4790 0.76291 0.620 0.000 0.000 0.380
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.4977 0.79136 0.540 0.000 0.000 0.460
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.4948 -0.53783 0.440 0.000 0.000 0.560
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 4 0.4072 0.27214 0.252 0.000 0.000 0.748
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 4 0.1648 0.48482 0.016 0.012 0.016 0.956
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.3882 0.48913 0.112 0.012 0.028 0.848
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.96038 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.2652 0.90102 0.056 0.912 0.028 0.004
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.6133 0.37288 0.408 0.020 0.020 0.552
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 4 0.3356 0.27604 0.176 0.000 0.000 0.824
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0336 0.95930 0.008 0.992 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.96038 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0188 0.96018 0.004 0.996 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.6226 0.37503 0.408 0.020 0.024 0.548
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.8266 0.38796 0.328 0.104 0.076 0.492
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.96038 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.96038 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.4977 0.79136 0.540 0.000 0.000 0.460
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.4079 0.46439 0.180 0.020 0.000 0.800
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.4977 0.79136 0.540 0.000 0.000 0.460
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 4 0.4898 -0.53127 0.416 0.000 0.000 0.584
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.7472 0.39174 0.068 0.632 0.120 0.180
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 4 0.4303 0.47849 0.184 0.020 0.004 0.792
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4925 -0.53373 0.428 0.000 0.000 0.572
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0188 0.96018 0.004 0.996 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 4 0.4999 -0.73125 0.492 0.000 0.000 0.508
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.1704 0.905119 0.068 0.928 0.000 0.004 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.4502 0.413932 0.076 0.000 0.000 0.180 0.744
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.937087 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.1704 0.905119 0.068 0.928 0.000 0.004 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.5928 0.379342 0.076 0.004 0.008 0.548 0.364
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0880 0.931935 0.032 0.968 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.6715 0.346073 0.104 0.004 0.044 0.556 0.292
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.937087 0.000 1.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.1544 0.907065 0.068 0.932 0.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.1082 0.463879 0.028 0.000 0.000 0.008 0.964
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.4514 0.399671 0.072 0.000 0.000 0.188 0.740
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.937087 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0404 0.936423 0.012 0.988 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0880 0.541748 0.032 0.000 0.968 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1638 0.907719 0.064 0.932 0.000 0.004 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.4757 0.239548 0.024 0.000 0.000 0.596 0.380
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.1117 0.462603 0.020 0.000 0.000 0.016 0.964
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.5911 0.673063 0.432 0.044 0.500 0.016 0.008
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.3164 0.440052 0.044 0.000 0.000 0.104 0.852
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.4696 0.153210 0.016 0.000 0.000 0.428 0.556
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.9492 0.418438 0.340 0.212 0.148 0.204 0.096
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 4 0.5322 0.037674 0.056 0.000 0.000 0.552 0.392
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.5584 0.000447 0.076 0.000 0.000 0.392 0.532
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0880 0.541748 0.032 0.000 0.968 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.937087 0.000 1.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0880 0.931935 0.032 0.968 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.4696 0.153210 0.016 0.000 0.000 0.428 0.556
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.4757 0.239548 0.024 0.000 0.000 0.596 0.380
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 5 0.4708 0.143130 0.016 0.000 0.000 0.436 0.548
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 5 0.4904 0.087295 0.024 0.000 0.000 0.472 0.504
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.6715 0.346073 0.104 0.004 0.044 0.556 0.292
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.2971 0.397581 0.008 0.000 0.000 0.156 0.836
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 5 0.4803 0.137210 0.020 0.000 0.000 0.444 0.536
#> D9ABDB75-04DA-4D33-A69F-701729494533 5 0.4811 0.114497 0.020 0.000 0.000 0.452 0.528
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0880 0.931935 0.032 0.968 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 4 0.5115 -0.060352 0.036 0.000 0.000 0.484 0.480
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.6792 0.406865 0.228 0.600 0.032 0.116 0.024
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.8409 0.739305 0.488 0.096 0.136 0.064 0.216
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.8352 0.726294 0.492 0.084 0.136 0.068 0.220
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.7596 0.075674 0.140 0.000 0.104 0.284 0.472
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.5801 0.674139 0.436 0.048 0.496 0.020 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0880 0.931935 0.032 0.968 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.8375 0.569299 0.400 0.032 0.284 0.068 0.216
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.5971 0.672479 0.432 0.048 0.496 0.016 0.008
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.1544 0.907065 0.068 0.932 0.000 0.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.937087 0.000 1.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.5790 0.678097 0.424 0.048 0.508 0.020 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.4645 0.406425 0.092 0.004 0.004 0.140 0.760
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.5022 0.148648 0.048 0.000 0.000 0.620 0.332
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0880 0.931935 0.032 0.968 0.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.6780 0.341646 0.112 0.004 0.044 0.552 0.288
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.4950 0.307930 0.040 0.000 0.000 0.612 0.348
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.3061 0.422381 0.020 0.000 0.000 0.136 0.844
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.4609 0.395017 0.104 0.000 0.000 0.152 0.744
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.5965 0.367896 0.076 0.004 0.008 0.532 0.380
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.2813 0.396659 0.000 0.000 0.000 0.168 0.832
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.559230 0.000 0.000 1.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 5 0.4708 0.143130 0.016 0.000 0.000 0.436 0.548
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 5 0.4674 0.167353 0.016 0.000 0.000 0.416 0.568
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.1704 0.905119 0.068 0.928 0.000 0.004 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0880 0.931935 0.032 0.968 0.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0880 0.931935 0.032 0.968 0.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 5 0.4630 0.190733 0.016 0.000 0.000 0.396 0.588
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.4514 0.399671 0.072 0.000 0.000 0.188 0.740
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.2286 0.427767 0.004 0.000 0.000 0.108 0.888
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 5 0.7121 0.037747 0.128 0.000 0.056 0.344 0.472
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 4 0.5115 -0.060352 0.036 0.000 0.000 0.484 0.480
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.4609 0.395017 0.104 0.000 0.000 0.152 0.744
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.4886 0.071966 0.024 0.000 0.000 0.528 0.448
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.4647 0.416145 0.084 0.000 0.000 0.184 0.732
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.2470 0.437390 0.012 0.000 0.000 0.104 0.884
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.4609 0.395017 0.104 0.000 0.000 0.152 0.744
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.1704 0.905119 0.068 0.928 0.000 0.004 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0404 0.936423 0.012 0.988 0.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 1 0.8667 0.706585 0.448 0.144 0.132 0.052 0.224
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0162 0.937035 0.004 0.996 0.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 5 0.6501 0.142651 0.136 0.008 0.008 0.312 0.536
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.559230 0.000 0.000 1.000 0.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 4 0.5313 0.039853 0.056 0.000 0.000 0.556 0.388
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.2864 0.412217 0.012 0.000 0.000 0.136 0.852
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#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 4 0.5115 -0.060352 0.036 0.000 0.000 0.484 0.480
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.937087 0.000 1.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.2103 0.530448 0.056 0.000 0.920 0.020 0.004
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.3421 0.805548 0.152 0.824 0.008 0.016 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.5815 0.378793 0.076 0.004 0.004 0.552 0.364
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.8055 -0.254838 0.312 0.448 0.076 0.032 0.132
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 4 0.5313 0.039853 0.056 0.000 0.000 0.556 0.388
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 5 0.4649 0.181713 0.016 0.000 0.000 0.404 0.580
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 5 0.4675 0.215706 0.020 0.000 0.000 0.380 0.600
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 5 0.4564 0.238745 0.016 0.000 0.000 0.372 0.612
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.4489 0.408882 0.092 0.004 0.000 0.140 0.764
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.5516 0.310543 0.136 0.000 0.000 0.220 0.644
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.937087 0.000 1.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.3463 0.800883 0.156 0.820 0.008 0.016 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.5815 0.378837 0.076 0.004 0.004 0.552 0.364
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.1117 0.462603 0.020 0.000 0.000 0.016 0.964
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0880 0.931935 0.032 0.968 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.937087 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0404 0.936423 0.012 0.988 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.5928 0.379342 0.076 0.004 0.008 0.548 0.364
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.7841 0.301678 0.108 0.076 0.040 0.508 0.268
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.937087 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.937087 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 5 0.4658 0.177152 0.016 0.000 0.000 0.408 0.576
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.4661 0.197949 0.032 0.000 0.000 0.312 0.656
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.4649 0.181713 0.016 0.000 0.000 0.404 0.580
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 5 0.4555 0.261679 0.020 0.000 0.000 0.344 0.636
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.7503 0.146133 0.204 0.564 0.068 0.032 0.132
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.5022 0.159414 0.048 0.000 0.000 0.332 0.620
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 5 0.4768 0.226535 0.024 0.000 0.000 0.384 0.592
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0404 0.936423 0.012 0.988 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 5 0.4610 0.197424 0.016 0.000 0.000 0.388 0.596
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.1765 0.91342 0.000 0.924 0.000 0.024 0.000 0.052
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.2754 0.60259 0.116 0.000 0.004 0.012 0.860 0.008
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.94354 0.000 1.000 0.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.1765 0.91342 0.000 0.924 0.000 0.024 0.000 0.052
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.5199 0.79132 0.120 0.000 0.000 0.580 0.300 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.1007 0.93930 0.000 0.968 0.004 0.004 0.008 0.016
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.5847 0.78143 0.044 0.000 0.088 0.544 0.324 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.94354 0.000 1.000 0.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.1682 0.91509 0.000 0.928 0.000 0.020 0.000 0.052
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.3309 0.51354 0.280 0.000 0.000 0.000 0.720 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.3979 0.58853 0.120 0.000 0.024 0.044 0.800 0.012
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.94354 0.000 1.000 0.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0363 0.94305 0.000 0.988 0.000 0.000 0.000 0.012
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 6 0.3330 0.95144 0.000 0.000 0.284 0.000 0.000 0.716
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1700 0.91573 0.000 0.928 0.000 0.024 0.000 0.048
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.5767 0.03179 0.484 0.000 0.000 0.324 0.192 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.3371 0.49696 0.292 0.000 0.000 0.000 0.708 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0603 0.83421 0.000 0.000 0.980 0.000 0.016 0.004
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.4352 0.53511 0.276 0.000 0.004 0.024 0.684 0.012
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.2668 0.71836 0.828 0.000 0.000 0.004 0.168 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 4 0.8168 -0.21606 0.076 0.204 0.000 0.396 0.116 0.208
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.2170 0.67428 0.888 0.000 0.000 0.100 0.012 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.5146 -0.00702 0.060 0.000 0.036 0.260 0.644 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 6 0.3330 0.95144 0.000 0.000 0.284 0.000 0.000 0.716
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.94354 0.000 1.000 0.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.1007 0.93930 0.000 0.968 0.004 0.004 0.008 0.016
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.2668 0.71836 0.828 0.000 0.000 0.004 0.168 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.5767 0.03179 0.484 0.000 0.000 0.324 0.192 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.2558 0.72350 0.840 0.000 0.000 0.004 0.156 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.1957 0.73417 0.888 0.000 0.000 0.000 0.112 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.5847 0.78143 0.044 0.000 0.088 0.544 0.324 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.3864 0.07463 0.480 0.000 0.000 0.000 0.520 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.2527 0.70779 0.832 0.000 0.000 0.000 0.168 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.2048 0.73568 0.880 0.000 0.000 0.000 0.120 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.1007 0.93930 0.000 0.968 0.004 0.004 0.008 0.016
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.1625 0.73663 0.928 0.000 0.000 0.012 0.060 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.6464 0.52674 0.036 0.588 0.028 0.248 0.020 0.080
#> 655BD3AF-5094-4B19-93A8-401C70369B17 5 0.8079 0.04345 0.004 0.080 0.052 0.296 0.324 0.244
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 5 0.8094 0.05088 0.008 0.072 0.052 0.292 0.336 0.240
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.5822 0.16868 0.028 0.000 0.164 0.148 0.640 0.020
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0291 0.83687 0.000 0.000 0.992 0.004 0.004 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.1007 0.93930 0.000 0.968 0.004 0.004 0.008 0.016
#> 619F37D2-6771-4727-9079-56BED07F1CF6 5 0.8060 -0.08812 0.004 0.024 0.144 0.292 0.324 0.212
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0508 0.83515 0.000 0.000 0.984 0.000 0.012 0.004
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.1682 0.91509 0.000 0.928 0.000 0.020 0.000 0.052
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.94354 0.000 1.000 0.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0508 0.83341 0.000 0.000 0.984 0.004 0.000 0.012
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.2825 0.59661 0.076 0.000 0.024 0.016 0.876 0.008
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.3740 0.61221 0.740 0.000 0.000 0.228 0.032 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.1007 0.93930 0.000 0.968 0.004 0.004 0.008 0.016
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.5880 0.77517 0.040 0.000 0.096 0.536 0.328 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.5991 0.39334 0.380 0.000 0.004 0.420 0.196 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.4238 0.28253 0.404 0.000 0.008 0.008 0.580 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.2823 0.58848 0.068 0.000 0.020 0.016 0.880 0.016
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.5521 0.78507 0.132 0.000 0.008 0.564 0.296 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.3996 0.05246 0.484 0.000 0.000 0.004 0.512 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 6 0.3482 0.95340 0.000 0.000 0.316 0.000 0.000 0.684
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.2558 0.72350 0.840 0.000 0.000 0.004 0.156 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.2994 0.68606 0.788 0.000 0.000 0.004 0.208 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.1765 0.91342 0.000 0.924 0.000 0.024 0.000 0.052
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.1007 0.93930 0.000 0.968 0.004 0.004 0.008 0.016
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.1007 0.93930 0.000 0.968 0.004 0.004 0.008 0.016
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.3198 0.60917 0.740 0.000 0.000 0.000 0.260 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.3979 0.58853 0.120 0.000 0.024 0.044 0.800 0.012
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.3817 0.22898 0.432 0.000 0.000 0.000 0.568 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 5 0.5809 0.09131 0.032 0.000 0.108 0.204 0.636 0.020
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.1625 0.73663 0.928 0.000 0.000 0.012 0.060 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.2823 0.58848 0.068 0.000 0.020 0.016 0.880 0.016
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.3607 0.70377 0.796 0.000 0.000 0.112 0.092 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.4692 0.55821 0.224 0.000 0.028 0.036 0.704 0.008
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.3899 0.29771 0.404 0.000 0.000 0.004 0.592 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.2823 0.58848 0.068 0.000 0.020 0.016 0.880 0.016
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.1765 0.91342 0.000 0.924 0.000 0.024 0.000 0.052
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0363 0.94305 0.000 0.988 0.000 0.000 0.000 0.012
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 5 0.8297 0.04813 0.008 0.128 0.040 0.280 0.320 0.224
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0146 0.94352 0.000 0.996 0.000 0.000 0.000 0.004
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 5 0.5617 0.17747 0.056 0.000 0.068 0.200 0.660 0.016
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 6 0.3482 0.95340 0.000 0.000 0.316 0.000 0.000 0.684
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.2070 0.67036 0.892 0.000 0.000 0.100 0.008 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.4718 0.44288 0.316 0.000 0.000 0.068 0.616 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.1682 0.91509 0.000 0.928 0.000 0.020 0.000 0.052
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.5707 0.78760 0.076 0.000 0.040 0.544 0.340 0.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.5991 0.39334 0.380 0.000 0.004 0.420 0.196 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.3361 0.71181 0.816 0.000 0.000 0.108 0.076 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0291 0.83687 0.000 0.000 0.992 0.004 0.004 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.5688 0.78565 0.092 0.000 0.028 0.540 0.340 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.2092 0.73552 0.876 0.000 0.000 0.000 0.124 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.94354 0.000 1.000 0.000 0.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.1007 0.93930 0.000 0.968 0.004 0.004 0.008 0.016
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.3740 0.61221 0.740 0.000 0.000 0.228 0.032 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.3464 0.70762 0.808 0.000 0.000 0.108 0.084 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.3371 0.49696 0.292 0.000 0.000 0.000 0.708 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.3966 0.62627 0.000 0.000 0.772 0.008 0.148 0.072
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.1765 0.91342 0.000 0.924 0.000 0.024 0.000 0.052
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.5778 0.78102 0.040 0.000 0.088 0.552 0.320 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.5847 0.78143 0.044 0.000 0.088 0.544 0.324 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.3869 0.69093 0.772 0.000 0.000 0.128 0.100 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.2625 0.73399 0.872 0.000 0.000 0.056 0.072 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 5 0.3997 0.03732 0.488 0.000 0.000 0.004 0.508 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.2558 0.72350 0.840 0.000 0.000 0.004 0.156 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.3266 0.52235 0.272 0.000 0.000 0.000 0.728 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0363 0.94305 0.000 0.988 0.000 0.000 0.000 0.012
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.1387 0.80089 0.000 0.000 0.932 0.000 0.000 0.068
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.6039 -0.31565 0.416 0.000 0.008 0.392 0.184 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.1007 0.93930 0.000 0.968 0.004 0.004 0.008 0.016
#> 3F0865F1-8256-4778-966F-D53637B415B6 6 0.3841 0.87061 0.000 0.000 0.380 0.000 0.004 0.616
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 6 0.3531 0.94455 0.000 0.000 0.328 0.000 0.000 0.672
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.3828 0.69302 0.776 0.000 0.000 0.124 0.100 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.1152 0.81787 0.000 0.000 0.952 0.004 0.000 0.044
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.3050 0.65957 0.764 0.000 0.000 0.000 0.236 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0363 0.94305 0.000 0.988 0.000 0.000 0.000 0.012
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#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.4233 0.33174 0.080 0.000 0.004 0.180 0.736 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.3151 0.61973 0.748 0.000 0.000 0.000 0.252 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.4009 0.46153 0.632 0.000 0.004 0.008 0.356 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.6765 0.40703 0.000 0.552 0.024 0.156 0.200 0.068
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.4148 0.28355 0.056 0.000 0.012 0.184 0.748 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.4588 0.49437 0.620 0.000 0.004 0.044 0.332 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0363 0.94305 0.000 0.988 0.000 0.000 0.000 0.012
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.3050 0.65957 0.764 0.000 0.000 0.000 0.236 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 17377 rows and 265 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.760 0.869 0.948 0.4492 0.574 0.574
#> 3 3 0.797 0.832 0.920 0.4462 0.760 0.583
#> 4 4 0.704 0.783 0.861 0.1181 0.836 0.575
#> 5 5 0.767 0.738 0.791 0.0714 0.901 0.658
#> 6 6 0.745 0.679 0.782 0.0455 0.937 0.718
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.000 0.979 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.000 0.928 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.000 0.979 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.000 0.979 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.000 0.928 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.000 0.979 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.000 0.928 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.000 0.979 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.000 0.979 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.000 0.928 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.000 0.928 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.000 0.979 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.000 0.979 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.971 0.390 0.600 0.400
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.000 0.979 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.000 0.928 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.000 0.928 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.788 0.680 0.764 0.236
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.000 0.928 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.000 0.928 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.680 0.756 0.180 0.820
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.000 0.928 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.000 0.928 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.973 0.381 0.596 0.404
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.000 0.979 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.000 0.979 0.000 1.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.000 0.928 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.000 0.928 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.000 0.928 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.000 0.928 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.000 0.928 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.000 0.928 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.000 0.928 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.000 0.928 1.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.000 0.979 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.000 0.928 1.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.876 0.532 0.296 0.704
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.000 0.979 0.000 1.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.184 0.905 0.972 0.028
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.000 0.928 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 1 0.992 0.278 0.552 0.448
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.000 0.979 0.000 1.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.996 0.235 0.536 0.464
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.000 0.928 1.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.000 0.979 0.000 1.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.000 0.979 0.000 1.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 1 0.996 0.235 0.536 0.464
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.000 0.928 1.000 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.000 0.928 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.000 0.979 0.000 1.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.000 0.928 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.000 0.928 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.000 0.928 1.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.000 0.928 1.000 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.000 0.928 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.000 0.928 1.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 1 0.996 0.235 0.536 0.464
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.000 0.928 1.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.000 0.928 1.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.000 0.979 0.000 1.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.000 0.979 0.000 1.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.000 0.979 0.000 1.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.000 0.928 1.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.000 0.928 1.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.000 0.928 1.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.000 0.928 1.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.000 0.928 1.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.000 0.928 1.000 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.000 0.928 1.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.000 0.928 1.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.000 0.928 1.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.000 0.928 1.000 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.000 0.979 0.000 1.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.000 0.979 0.000 1.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.680 0.756 0.180 0.820
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.000 0.979 0.000 1.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.000 0.928 1.000 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 1 0.996 0.235 0.536 0.464
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.000 0.928 1.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.000 0.928 1.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.000 0.979 0.000 1.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.738 0.718 0.792 0.208
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.000 0.928 1.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.000 0.928 1.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 1 0.996 0.235 0.536 0.464
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.000 0.928 1.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.000 0.928 1.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.000 0.979 0.000 1.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.000 0.979 0.000 1.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.000 0.928 1.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.000 0.928 1.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.000 0.928 1.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.000 0.928 1.000 0.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.000 0.979 0.000 1.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.000 0.928 1.000 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.000 0.928 1.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.000 0.928 1.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.000 0.928 1.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.000 0.928 1.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.000 0.928 1.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.000 0.928 1.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.000 0.979 0.000 1.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 1 0.983 0.337 0.576 0.424
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.000 0.928 1.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.000 0.979 0.000 1.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 1 0.996 0.235 0.536 0.464
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 1 0.996 0.235 0.536 0.464
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.000 0.928 1.000 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 1 0.996 0.235 0.536 0.464
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.000 0.928 1.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.000 0.979 0.000 1.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.000 0.928 1.000 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.000 0.928 1.000 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.000 0.928 1.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 1 0.996 0.235 0.536 0.464
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.000 0.928 1.000 0.000
#> 7955FC55-386D-497E-AFED-019BBBAD428E 1 0.996 0.235 0.536 0.464
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.000 0.928 1.000 0.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.000 0.928 1.000 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 1 0.000 0.928 1.000 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.000 0.928 1.000 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.000 0.928 1.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.000 0.928 1.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.000 0.979 0.000 1.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 1 0.855 0.616 0.720 0.280
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.000 0.928 1.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.000 0.928 1.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.000 0.979 0.000 1.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.680 0.756 0.180 0.820
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.000 0.979 0.000 1.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 2 0.745 0.702 0.212 0.788
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.000 0.979 0.000 1.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.000 0.928 1.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.000 0.979 0.000 1.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.000 0.979 0.000 1.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.000 0.928 1.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.000 0.979 0.000 1.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.000 0.928 1.000 0.000
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.000 0.979 0.000 1.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 1 0.994 0.257 0.544 0.456
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 1 0.996 0.235 0.536 0.464
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.000 0.928 1.000 0.000
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.000 0.979 0.000 1.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.000 0.928 1.000 0.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.000 0.928 1.000 0.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.000 0.928 1.000 0.000
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.000 0.928 1.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.000 0.928 1.000 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.000 0.928 1.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.000 0.928 1.000 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.000 0.928 1.000 0.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.000 0.928 1.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.000 0.928 1.000 0.000
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.000 0.928 1.000 0.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.000 0.928 1.000 0.000
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.000 0.928 1.000 0.000
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.000 0.928 1.000 0.000
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.000 0.928 1.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 1 0.996 0.235 0.536 0.464
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.000 0.928 1.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.000 0.979 0.000 1.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.000 0.979 0.000 1.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.000 0.928 1.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 1 0.996 0.235 0.536 0.464
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.000 0.928 1.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.000 0.928 1.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.000 0.928 1.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 1 0.730 0.723 0.796 0.204
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.000 0.979 0.000 1.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.000 0.979 0.000 1.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.000 0.928 1.000 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.000 0.928 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.000 0.979 0.000 1.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.000 0.928 1.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.000 0.928 1.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.000 0.979 0.000 1.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.000 0.928 1.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.000 0.979 0.000 1.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.000 0.928 1.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.000 0.979 0.000 1.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.000 0.979 0.000 1.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.000 0.928 1.000 0.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.000 0.979 0.000 1.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.000 0.928 1.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.000 0.928 1.000 0.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 1 0.996 0.235 0.536 0.464
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.000 0.928 1.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.000 0.928 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.000 0.979 0.000 1.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.000 0.979 0.000 1.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.000 0.928 1.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.000 0.928 1.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.000 0.928 1.000 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.000 0.928 1.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 1 0.996 0.235 0.536 0.464
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.000 0.979 0.000 1.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.000 0.979 0.000 1.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.000 0.928 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 1 0.680 0.752 0.820 0.180
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 1 0.996 0.235 0.536 0.464
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.000 0.928 1.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.000 0.928 1.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.000 0.979 0.000 1.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.000 0.928 1.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 1 0.996 0.235 0.536 0.464
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.000 0.979 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.000 0.928 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.000 0.979 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.000 0.928 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.000 0.979 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.000 0.928 1.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.000 0.979 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.000 0.979 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.000 0.979 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.000 0.928 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.000 0.928 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.000 0.928 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.000 0.928 1.000 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.000 0.979 0.000 1.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.000 0.928 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.000 0.928 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 1 0.996 0.235 0.536 0.464
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.000 0.928 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.000 0.928 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.000 0.928 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.000 0.928 1.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.000 0.928 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.000 0.928 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.000 0.979 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.866 0.603 0.712 0.288
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.000 0.979 0.000 1.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.000 0.928 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.000 0.979 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.000 0.928 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.000 0.979 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.991 0.288 0.556 0.444
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.000 0.979 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.000 0.928 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.988 0.178 0.436 0.564
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.000 0.928 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.000 0.928 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.000 0.928 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.000 0.928 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.000 0.928 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.000 0.928 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.000 0.979 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.000 0.979 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.000 0.928 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.000 0.928 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.000 0.979 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.000 0.979 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.000 0.979 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.000 0.928 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.000 0.928 1.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.000 0.979 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.000 0.979 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.000 0.928 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.000 0.928 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.000 0.928 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.000 0.928 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.000 0.979 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.000 0.928 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.000 0.928 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.000 0.979 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.000 0.928 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0424 0.9721 0.000 0.992 0.008
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.9177 1.000 0.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0237 0.9730 0.000 0.996 0.004
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0424 0.9721 0.000 0.992 0.008
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 3 0.6095 0.4377 0.392 0.000 0.608
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9732 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.5529 0.6194 0.296 0.000 0.704
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9732 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0424 0.9721 0.000 0.992 0.008
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.9177 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.2959 0.8307 0.900 0.000 0.100
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9732 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0237 0.9726 0.000 0.996 0.004
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.1877 0.8430 0.012 0.032 0.956
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0592 0.9713 0.000 0.988 0.012
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.1529 0.9016 0.960 0.000 0.040
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.9177 1.000 0.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.2152 0.8428 0.016 0.036 0.948
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.9177 1.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.9177 1.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.6516 0.0664 0.004 0.516 0.480
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.9177 1.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.5591 0.5115 0.696 0.000 0.304
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.1877 0.8430 0.012 0.032 0.956
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0237 0.9730 0.000 0.996 0.004
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0237 0.9726 0.000 0.996 0.004
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.9177 1.000 0.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.3340 0.8317 0.880 0.000 0.120
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.9177 1.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.9177 1.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.4555 0.7295 0.200 0.000 0.800
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.9177 1.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.9177 1.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.9177 1.000 0.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9732 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.9177 1.000 0.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.5873 0.5364 0.004 0.684 0.312
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0237 0.9726 0.000 0.996 0.004
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.2711 0.8338 0.912 0.088 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 3 0.5926 0.5620 0.356 0.000 0.644
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.2116 0.8426 0.012 0.040 0.948
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9732 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.1950 0.8397 0.008 0.040 0.952
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0892 0.8398 0.020 0.000 0.980
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0424 0.9721 0.000 0.992 0.008
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0237 0.9730 0.000 0.996 0.004
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.2116 0.8426 0.012 0.040 0.948
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.4654 0.7367 0.208 0.000 0.792
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#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.1289 0.9057 0.968 0.000 0.032
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.9177 1.000 0.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.9177 1.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.1289 0.9056 0.968 0.000 0.032
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9732 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.2187 0.8426 0.024 0.028 0.948
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.1031 0.9627 0.000 0.976 0.024
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.0592 0.8388 0.012 0.000 0.988
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0237 0.9726 0.000 0.996 0.004
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.1411 0.9037 0.964 0.000 0.036
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0237 0.9730 0.000 0.996 0.004
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.2116 0.8426 0.012 0.040 0.948
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0424 0.9721 0.000 0.992 0.008
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 3 0.6079 0.4468 0.388 0.000 0.612
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.6215 0.2500 0.428 0.572 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.9177 1.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.9177 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0747 0.9124 0.984 0.000 0.016
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.9177 1.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.5835 0.3737 0.660 0.000 0.340
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 3 0.6274 0.3363 0.456 0.000 0.544
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0237 0.9730 0.000 0.996 0.004
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0424 0.9721 0.000 0.992 0.008
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.5760 0.5000 0.672 0.000 0.328
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.9177 1.000 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9732 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9732 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0237 0.9726 0.000 0.996 0.004
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.6295 0.0275 0.528 0.000 0.472
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.4002 0.7634 0.160 0.000 0.840
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9732 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9732 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9177 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.6079 0.2745 0.612 0.000 0.388
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9177 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.9177 1.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0237 0.9726 0.000 0.996 0.004
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.3879 0.7624 0.848 0.000 0.152
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.1289 0.9056 0.968 0.000 0.032
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0237 0.9726 0.000 0.996 0.004
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9177 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.1389 0.8152 0.952 0.000 0.000 0.048
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0817 0.9234 0.000 0.976 0.000 0.024
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.5102 0.7929 0.100 0.000 0.136 0.764
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0592 0.9239 0.000 0.984 0.000 0.016
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.5436 0.7664 0.092 0.000 0.176 0.732
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0592 0.9239 0.000 0.984 0.000 0.016
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.8249 1.000 0.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.3266 0.7640 0.868 0.000 0.024 0.108
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9238 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.4086 0.8656 0.000 0.776 0.008 0.216
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.4382 0.7140 0.296 0.000 0.000 0.704
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.2469 0.7806 0.892 0.000 0.000 0.108
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0592 0.8237 0.984 0.000 0.000 0.016
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.8249 1.000 0.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.7527 0.3144 0.000 0.452 0.356 0.192
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.1557 0.8144 0.944 0.000 0.000 0.056
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.6464 0.1223 0.540 0.000 0.076 0.384
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0817 0.9234 0.000 0.976 0.000 0.024
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.8249 1.000 0.000 0.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.4098 0.7662 0.204 0.000 0.012 0.784
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.5395 0.7582 0.084 0.000 0.184 0.732
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.8249 1.000 0.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0592 0.9239 0.000 0.984 0.000 0.016
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.3610 0.6427 0.800 0.000 0.000 0.200
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.6289 0.7409 0.000 0.648 0.116 0.236
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.2081 0.9139 0.000 0.916 0.000 0.084
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.2300 0.7791 0.920 0.064 0.000 0.016
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.5834 0.5969 0.704 0.000 0.124 0.172
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0188 0.9239 0.000 0.996 0.000 0.004
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.1792 0.8880 0.000 0.000 0.932 0.068
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.2530 0.8436 0.004 0.000 0.896 0.100
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0817 0.9234 0.000 0.976 0.000 0.024
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.4933 0.1836 0.432 0.000 0.568 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.4543 0.6876 0.324 0.000 0.000 0.676
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.5454 0.7697 0.096 0.000 0.172 0.732
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.4642 0.7548 0.240 0.000 0.020 0.740
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.1302 0.8167 0.956 0.000 0.000 0.044
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.5010 0.6685 0.772 0.000 0.120 0.108
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.4776 0.7880 0.164 0.000 0.060 0.776
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.8249 1.000 0.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0592 0.8244 0.984 0.000 0.000 0.016
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0707 0.9236 0.000 0.980 0.000 0.020
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0188 0.8245 0.996 0.000 0.000 0.004
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.8249 1.000 0.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.8249 1.000 0.000 0.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.4643 0.4123 0.000 0.000 0.656 0.344
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.3610 0.6427 0.800 0.000 0.000 0.200
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.5314 0.6394 0.748 0.000 0.144 0.108
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.4500 0.6946 0.316 0.000 0.000 0.684
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.2921 0.7688 0.860 0.000 0.000 0.140
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.8249 1.000 0.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.4956 0.6735 0.776 0.000 0.116 0.108
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.3764 0.8695 0.000 0.784 0.000 0.216
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.4687 0.8379 0.004 0.752 0.020 0.224
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0817 0.9234 0.000 0.976 0.000 0.024
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.5719 0.7630 0.112 0.000 0.176 0.712
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.2530 0.7701 0.888 0.000 0.000 0.112
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.8249 1.000 0.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.4452 0.6464 0.008 0.000 0.260 0.732
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.4307 0.7739 0.192 0.000 0.024 0.784
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 4 0.4972 0.4361 0.456 0.000 0.000 0.544
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.4758 0.7903 0.156 0.000 0.064 0.780
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0469 0.9241 0.000 0.988 0.000 0.012
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9238 0.000 1.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 4 0.4543 0.6876 0.324 0.000 0.000 0.676
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 4 0.4543 0.6876 0.324 0.000 0.000 0.676
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.1302 0.8167 0.956 0.000 0.000 0.044
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.0188 0.9451 0.004 0.000 0.996 0.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.4372 0.6370 0.004 0.000 0.268 0.728
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.5371 0.7540 0.080 0.000 0.188 0.732
#> 317CD049-3151-40B7-8E88-B0B8813338D6 4 0.4543 0.6876 0.324 0.000 0.000 0.676
#> 93835C77-F8FA-4928-843C-8016A91881FA 4 0.4977 0.4252 0.460 0.000 0.000 0.540
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.8249 1.000 0.000 0.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.1211 0.8206 0.960 0.000 0.000 0.040
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.8249 1.000 0.000 0.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 4 0.4718 0.7281 0.280 0.000 0.012 0.708
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.9238 0.000 1.000 0.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 4 0.4500 0.6946 0.316 0.000 0.000 0.684
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.1211 0.8206 0.960 0.000 0.000 0.040
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.5102 0.7118 0.048 0.000 0.220 0.732
#> 51B7241E-F0BE-482A-88AE-89004BB68989 4 0.4307 0.7739 0.192 0.000 0.024 0.784
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 4 0.7065 0.2994 0.404 0.000 0.124 0.472
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.2469 0.8385 0.000 0.000 0.892 0.108
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.1940 0.8018 0.924 0.000 0.000 0.076
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.1302 0.8167 0.956 0.000 0.000 0.044
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 4 0.4098 0.7662 0.204 0.000 0.012 0.784
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.1940 0.8018 0.924 0.000 0.000 0.076
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0469 0.9241 0.000 0.988 0.000 0.012
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 4 0.5051 0.7938 0.100 0.000 0.132 0.768
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 4 0.4543 0.6876 0.324 0.000 0.000 0.676
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.7368 0.2919 0.000 0.460 0.376 0.164
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0592 0.9239 0.000 0.984 0.000 0.016
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.4356 0.7580 0.000 0.048 0.804 0.148
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0707 0.9237 0.000 0.980 0.000 0.020
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.1940 0.8022 0.924 0.000 0.000 0.076
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0592 0.9239 0.000 0.984 0.000 0.016
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.1940 0.8018 0.924 0.000 0.000 0.076
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0707 0.9236 0.000 0.980 0.000 0.020
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.6616 0.4254 0.584 0.000 0.308 0.108
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0707 0.9236 0.000 0.980 0.000 0.020
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.5690 0.5664 0.700 0.000 0.084 0.216
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 4 0.5376 0.7676 0.088 0.000 0.176 0.736
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 4 0.4706 0.6670 0.020 0.000 0.248 0.732
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.4834 0.6829 0.784 0.000 0.096 0.120
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.4222 0.5780 0.728 0.000 0.000 0.272
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 4 0.5199 0.7895 0.144 0.000 0.100 0.756
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0921 0.8215 0.972 0.000 0.000 0.028
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 4 0.4372 0.6370 0.004 0.000 0.268 0.728
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.6911 0.1611 0.480 0.000 0.412 0.108
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 4 0.5280 0.7799 0.096 0.000 0.156 0.748
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.5434 0.6396 0.740 0.000 0.128 0.132
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.5938 0.5255 0.676 0.000 0.092 0.232
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.3324 0.7537 0.852 0.000 0.012 0.136
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 4 0.4543 0.6876 0.324 0.000 0.000 0.676
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.4343 0.6460 0.004 0.000 0.264 0.732
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0817 0.9234 0.000 0.976 0.000 0.024
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0707 0.8238 0.980 0.000 0.000 0.020
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0921 0.8215 0.972 0.000 0.000 0.028
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.4382 0.5453 0.704 0.000 0.000 0.296
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.1940 0.8018 0.924 0.000 0.000 0.076
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.3726 0.8697 0.000 0.788 0.000 0.212
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.3726 0.8697 0.000 0.788 0.000 0.212
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.4343 0.6422 0.004 0.000 0.264 0.732
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.4685 0.7893 0.156 0.000 0.060 0.784
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.1557 0.8144 0.944 0.000 0.000 0.056
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0707 0.9236 0.000 0.980 0.000 0.020
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0469 0.8244 0.988 0.000 0.000 0.012
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.3688 0.8602 0.000 0.792 0.000 0.208
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0592 0.8241 0.984 0.000 0.000 0.016
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.3219 0.8859 0.000 0.836 0.000 0.164
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0817 0.9234 0.000 0.976 0.000 0.024
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.6717 0.3804 0.560 0.000 0.332 0.108
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.5140 0.7879 0.096 0.000 0.144 0.760
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.6801 -0.2105 0.452 0.000 0.096 0.452
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.3764 0.7562 0.216 0.000 0.000 0.784
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.5436 0.7664 0.092 0.000 0.176 0.732
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0817 0.9231 0.000 0.976 0.000 0.024
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0817 0.9234 0.000 0.976 0.000 0.024
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.2949 0.7800 0.888 0.000 0.024 0.088
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.4304 0.7226 0.284 0.000 0.000 0.716
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.2530 0.8345 0.000 0.000 0.888 0.112
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.2081 0.7959 0.916 0.000 0.000 0.084
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0817 0.9234 0.000 0.976 0.000 0.024
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0469 0.9240 0.000 0.988 0.000 0.012
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.5140 0.7879 0.096 0.000 0.144 0.760
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.4901 0.6771 0.780 0.000 0.112 0.108
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.5496 0.6243 0.732 0.000 0.160 0.108
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9238 0.000 1.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0817 0.9234 0.000 0.976 0.000 0.024
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.5159 0.6296 0.364 0.000 0.012 0.624
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0817 0.9234 0.000 0.976 0.000 0.024
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0817 0.9231 0.000 0.976 0.000 0.024
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0336 0.9241 0.000 0.992 0.000 0.008
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.4543 0.6876 0.324 0.000 0.000 0.676
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.2924 0.7765 0.884 0.000 0.016 0.100
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.5140 0.7879 0.096 0.000 0.144 0.760
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.3486 0.7274 0.188 0.000 0.812 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.2921 0.8954 0.000 0.860 0.000 0.140
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.4758 0.7903 0.156 0.000 0.064 0.780
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.6801 0.0452 0.452 0.000 0.452 0.096
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.4804 0.4319 0.000 0.000 0.384 0.616
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.5000 -0.3286 0.500 0.000 0.000 0.500
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.3649 0.6385 0.796 0.000 0.000 0.204
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.8249 1.000 0.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 4 0.4992 0.3821 0.476 0.000 0.000 0.524
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0188 0.9241 0.000 0.996 0.000 0.004
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0188 0.9451 0.004 0.000 0.996 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.5219 0.8288 0.000 0.728 0.056 0.216
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.2469 0.8385 0.000 0.000 0.892 0.108
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 4 0.5000 0.3082 0.500 0.000 0.000 0.500
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0817 0.9234 0.000 0.976 0.000 0.024
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.9486 0.000 0.000 1.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.5140 0.7879 0.096 0.000 0.144 0.760
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.5766 0.3002 0.404 0.564 0.000 0.032
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.1557 0.8144 0.944 0.000 0.000 0.056
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.3801 0.6157 0.780 0.000 0.000 0.220
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.1474 0.8166 0.948 0.000 0.000 0.052
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.4411 0.7097 0.812 0.000 0.080 0.108
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.6346 0.4851 0.640 0.000 0.116 0.244
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0817 0.9234 0.000 0.976 0.000 0.024
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.3486 0.8719 0.000 0.812 0.000 0.188
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.4776 0.7886 0.164 0.000 0.060 0.776
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.1940 0.8018 0.924 0.000 0.000 0.076
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0188 0.9241 0.000 0.996 0.000 0.004
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.5042 0.7922 0.136 0.000 0.096 0.768
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.5346 0.7494 0.076 0.000 0.192 0.732
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0469 0.9241 0.000 0.988 0.000 0.012
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0336 0.9241 0.000 0.992 0.000 0.008
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.1211 0.8204 0.960 0.000 0.000 0.040
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.6440 0.2205 0.564 0.000 0.080 0.356
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.1211 0.8204 0.960 0.000 0.000 0.040
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0592 0.8241 0.984 0.000 0.000 0.016
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.1637 0.9196 0.000 0.940 0.000 0.060
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.3659 0.7443 0.840 0.000 0.024 0.136
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.4998 -0.2895 0.512 0.000 0.000 0.488
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0921 0.9225 0.000 0.972 0.000 0.028
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1211 0.8204 0.960 0.000 0.000 0.040
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.4074 0.7489 0.000 0.636 0.000 0.364 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.1251 0.7953 0.036 0.000 0.000 0.008 0.956
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0510 0.8663 0.000 0.984 0.000 0.016 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.4074 0.7489 0.000 0.636 0.000 0.364 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.6203 0.8978 0.352 0.000 0.032 0.544 0.072
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.1818 0.8656 0.044 0.932 0.000 0.024 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.6354 0.8953 0.320 0.000 0.044 0.560 0.076
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.1012 0.8665 0.012 0.968 0.000 0.020 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.4074 0.7489 0.000 0.636 0.000 0.364 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.1043 0.7884 0.040 0.000 0.000 0.000 0.960
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.1012 0.8037 0.000 0.000 0.012 0.020 0.968
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0162 0.8663 0.004 0.996 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.1907 0.8652 0.044 0.928 0.000 0.028 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0693 0.9382 0.012 0.000 0.980 0.008 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.4490 0.7364 0.004 0.588 0.004 0.404 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.5454 0.7571 0.452 0.000 0.000 0.488 0.060
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.0404 0.8043 0.000 0.000 0.000 0.012 0.988
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#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.4060 0.7499 0.000 0.640 0.000 0.360 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.5938 0.8853 0.368 0.000 0.012 0.540 0.080
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.4182 0.6671 0.600 0.000 0.000 0.000 0.400
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.1965 0.8650 0.052 0.924 0.000 0.024 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 5 0.4656 -0.4268 0.480 0.000 0.000 0.012 0.508
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.4530 0.7370 0.004 0.612 0.000 0.376 0.008
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.4637 0.5563 0.536 0.000 0.000 0.012 0.452
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.4890 0.7606 0.040 0.628 0.000 0.332 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0510 0.8663 0.000 0.984 0.000 0.016 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.3389 0.7196 0.000 0.000 0.116 0.048 0.836
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.4074 0.7489 0.000 0.636 0.000 0.364 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.6218 0.8971 0.348 0.000 0.028 0.544 0.080
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 5 0.6421 0.2209 0.160 0.000 0.020 0.244 0.576
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0693 0.9382 0.012 0.000 0.980 0.008 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.5773 -0.7383 0.476 0.000 0.000 0.436 0.088
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.6354 0.8953 0.320 0.000 0.044 0.560 0.076
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.1965 0.8650 0.052 0.924 0.000 0.024 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0912 0.8671 0.012 0.972 0.000 0.016 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.1012 0.8037 0.000 0.000 0.012 0.020 0.968
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.5401 0.7649 0.452 0.000 0.000 0.492 0.056
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.4930 0.5996 0.004 0.000 0.676 0.268 0.052
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.4114 0.6696 0.624 0.000 0.000 0.000 0.376
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0566 0.9389 0.012 0.000 0.984 0.004 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0510 0.8663 0.000 0.984 0.000 0.016 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.1300 0.8669 0.028 0.956 0.000 0.016 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.6241 0.8984 0.348 0.000 0.032 0.544 0.076
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.1082 0.9322 0.000 0.000 0.964 0.028 0.008
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0566 0.9407 0.000 0.000 0.984 0.012 0.004
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.1997 0.7898 0.000 0.000 0.036 0.040 0.924
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.2221 0.7817 0.000 0.000 0.052 0.036 0.912
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0404 0.8668 0.012 0.988 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.4201 0.6637 0.592 0.000 0.000 0.000 0.408
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0865 0.9359 0.000 0.000 0.972 0.024 0.004
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0510 0.8663 0.000 0.984 0.000 0.016 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.4841 0.0500 0.708 0.000 0.000 0.208 0.084
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.4074 0.7489 0.000 0.636 0.000 0.364 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.4201 0.6637 0.592 0.000 0.000 0.000 0.408
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.2124 0.8637 0.056 0.916 0.000 0.028 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0451 0.9412 0.004 0.000 0.988 0.008 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0510 0.8663 0.000 0.984 0.000 0.016 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.1965 0.8650 0.052 0.924 0.000 0.024 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0404 0.8665 0.000 0.988 0.000 0.012 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.3390 0.3020 0.840 0.000 0.000 0.100 0.060
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.0798 0.8041 0.000 0.000 0.008 0.016 0.976
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.6230 0.8987 0.344 0.000 0.032 0.548 0.076
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.4657 0.4927 0.000 0.000 0.296 0.036 0.668
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.4708 0.7806 0.040 0.668 0.000 0.292 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.6020 0.8886 0.364 0.000 0.016 0.540 0.080
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.3731 0.6780 0.000 0.000 0.160 0.040 0.800
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0451 0.9398 0.008 0.000 0.988 0.004 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.6703 0.7891 0.248 0.000 0.164 0.556 0.032
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.4201 0.6637 0.592 0.000 0.000 0.000 0.408
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.2890 0.6150 0.836 0.000 0.000 0.004 0.160
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.4152 0.6643 0.692 0.000 0.000 0.012 0.296
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.1043 0.7884 0.040 0.000 0.000 0.000 0.960
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.2583 0.5812 0.864 0.000 0.000 0.004 0.132
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0162 0.8665 0.000 0.996 0.000 0.004 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.2153 0.9032 0.000 0.000 0.916 0.040 0.044
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.5624 0.6911 0.012 0.544 0.052 0.392 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.4844 0.5849 0.000 0.000 0.668 0.280 0.052
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.2124 0.8637 0.056 0.916 0.000 0.028 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.2763 0.6021 0.848 0.000 0.000 0.004 0.148
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0510 0.8663 0.000 0.984 0.000 0.016 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0912 0.9400 0.012 0.000 0.972 0.016 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.4074 0.7489 0.000 0.636 0.000 0.364 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.6241 0.8984 0.348 0.000 0.032 0.544 0.076
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.6441 0.4942 0.176 0.608 0.000 0.036 0.180
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.4192 0.6654 0.596 0.000 0.000 0.000 0.404
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.4201 0.6637 0.592 0.000 0.000 0.000 0.408
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.3906 0.6651 0.704 0.000 0.000 0.004 0.292
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.4201 0.6637 0.592 0.000 0.000 0.000 0.408
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.1310 0.8006 0.000 0.000 0.024 0.020 0.956
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.5065 0.6082 0.076 0.000 0.032 0.152 0.740
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0510 0.8663 0.000 0.984 0.000 0.016 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.4114 0.7432 0.000 0.624 0.000 0.376 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.6057 0.8903 0.360 0.000 0.016 0.540 0.084
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0404 0.8025 0.012 0.000 0.000 0.000 0.988
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.1965 0.8650 0.052 0.924 0.000 0.024 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0162 0.8665 0.000 0.996 0.000 0.004 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.1907 0.8652 0.044 0.928 0.000 0.028 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.6084 0.8939 0.356 0.000 0.020 0.544 0.080
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.6244 0.8778 0.300 0.000 0.052 0.584 0.064
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0510 0.8663 0.000 0.984 0.000 0.016 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0404 0.8665 0.000 0.988 0.000 0.012 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.4201 0.6637 0.592 0.000 0.000 0.000 0.408
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.3628 0.6877 0.104 0.000 0.012 0.048 0.836
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.4242 0.6298 0.572 0.000 0.000 0.000 0.428
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 5 0.4656 -0.4268 0.480 0.000 0.000 0.012 0.508
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.3527 0.8457 0.056 0.828 0.000 0.116 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.1012 0.8027 0.000 0.000 0.012 0.020 0.968
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.2953 0.5909 0.844 0.000 0.000 0.012 0.144
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.1907 0.8652 0.044 0.928 0.000 0.028 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.4219 0.6497 0.584 0.000 0.000 0.000 0.416
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 6 0.0363 0.57243 0.000 0.012 0.000 0.000 0.000 0.988
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.2821 0.82123 0.096 0.040 0.000 0.004 0.860 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 6 0.5737 -0.67695 0.056 0.448 0.000 0.032 0.008 0.456
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 6 0.0363 0.57243 0.000 0.012 0.000 0.000 0.000 0.988
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.1905 0.90314 0.020 0.012 0.016 0.932 0.020 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.3634 0.83987 0.000 0.644 0.000 0.000 0.000 0.356
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.2318 0.90241 0.000 0.048 0.020 0.904 0.028 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.5658 0.78652 0.056 0.532 0.000 0.032 0.008 0.372
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 6 0.0458 0.57148 0.000 0.016 0.000 0.000 0.000 0.984
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.1327 0.84653 0.064 0.000 0.000 0.000 0.936 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.1406 0.85388 0.016 0.008 0.004 0.020 0.952 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.5654 0.75141 0.052 0.508 0.000 0.032 0.008 0.400
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.4793 0.82127 0.040 0.608 0.000 0.008 0.004 0.340
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.2070 0.88791 0.012 0.092 0.896 0.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 6 0.2781 0.54526 0.032 0.060 0.004 0.004 0.016 0.884
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.3969 0.75615 0.140 0.064 0.000 0.780 0.016 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.1401 0.85466 0.028 0.004 0.000 0.020 0.948 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.1899 0.88183 0.000 0.032 0.928 0.008 0.028 0.004
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.2799 0.82597 0.064 0.076 0.000 0.000 0.860 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.3915 0.24242 0.412 0.004 0.000 0.000 0.584 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.5472 0.44585 0.060 0.172 0.052 0.004 0.020 0.692
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.3172 0.81548 0.816 0.036 0.000 0.000 0.148 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.3085 0.77600 0.012 0.008 0.004 0.148 0.828 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.1970 0.88956 0.008 0.092 0.900 0.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 6 0.5690 -0.67674 0.052 0.452 0.000 0.032 0.008 0.456
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.3728 0.83252 0.004 0.652 0.000 0.000 0.000 0.344
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.3937 0.20355 0.424 0.004 0.000 0.000 0.572 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.1401 0.90024 0.028 0.004 0.000 0.948 0.020 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.2968 0.81343 0.816 0.016 0.000 0.000 0.168 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.3088 0.80886 0.808 0.020 0.000 0.000 0.172 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.2541 0.89809 0.000 0.052 0.024 0.892 0.032 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.1806 0.83342 0.088 0.004 0.000 0.000 0.908 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.3168 0.80752 0.804 0.024 0.000 0.000 0.172 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.2743 0.81328 0.828 0.008 0.000 0.000 0.164 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.3634 0.83987 0.000 0.644 0.000 0.000 0.000 0.356
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.4186 0.80346 0.772 0.068 0.000 0.028 0.132 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 6 0.3842 0.51253 0.032 0.100 0.032 0.004 0.012 0.820
#> 655BD3AF-5094-4B19-93A8-401C70369B17 6 0.5507 -0.08323 0.068 0.376 0.000 0.004 0.020 0.532
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 5 0.6440 0.51533 0.172 0.240 0.008 0.008 0.544 0.028
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.5731 0.57272 0.004 0.160 0.020 0.212 0.604 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0551 0.90467 0.000 0.000 0.984 0.004 0.008 0.004
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.5155 0.79058 0.032 0.548 0.000 0.020 0.008 0.392
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.7609 0.32350 0.068 0.212 0.412 0.004 0.032 0.272
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.3869 0.79359 0.000 0.052 0.812 0.040 0.092 0.004
#> C5C3241A-684C-4238-9333-9AF8630EC086 6 0.0458 0.57148 0.000 0.016 0.000 0.000 0.000 0.984
#> AD319DC2-140F-4E7B-A899-010687D8B714 6 0.5690 -0.67674 0.052 0.452 0.000 0.032 0.008 0.456
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0551 0.90467 0.000 0.000 0.984 0.004 0.008 0.004
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.2933 0.80437 0.004 0.032 0.088 0.012 0.864 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.5319 0.41546 0.548 0.072 0.000 0.364 0.016 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.3833 0.83190 0.008 0.648 0.000 0.000 0.000 0.344
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.2394 0.90123 0.000 0.048 0.020 0.900 0.032 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.2419 0.87370 0.060 0.028 0.000 0.896 0.016 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.1951 0.85009 0.060 0.020 0.000 0.004 0.916 0.000
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#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.1377 0.89437 0.000 0.024 0.952 0.004 0.016 0.004
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0551 0.90467 0.000 0.000 0.984 0.004 0.008 0.004
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.2399 0.83968 0.004 0.044 0.024 0.024 0.904 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.1434 0.84632 0.000 0.008 0.020 0.024 0.948 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.5302 0.77159 0.036 0.532 0.000 0.024 0.008 0.400
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.2668 0.81151 0.828 0.004 0.000 0.000 0.168 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0696 0.90379 0.000 0.004 0.980 0.004 0.008 0.004
#> 2E24A786-4370-42A1-AD50-D651F89819CC 6 0.5737 -0.67695 0.056 0.448 0.000 0.032 0.008 0.456
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.5295 0.30095 0.520 0.064 0.000 0.400 0.016 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 6 0.0363 0.57243 0.000 0.012 0.000 0.000 0.000 0.988
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.2632 0.81231 0.832 0.004 0.000 0.000 0.164 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.3969 0.83206 0.008 0.644 0.000 0.004 0.000 0.344
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0551 0.90447 0.000 0.008 0.984 0.004 0.000 0.004
#> BD50E276-914F-4924-8CEA-FF47A66DB175 6 0.5690 -0.67674 0.052 0.452 0.000 0.032 0.008 0.456
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.3634 0.83987 0.000 0.644 0.000 0.000 0.000 0.356
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.5737 0.67758 0.056 0.456 0.000 0.032 0.008 0.448
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.4978 0.58899 0.644 0.072 0.000 0.268 0.016 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.1570 0.85475 0.028 0.008 0.004 0.016 0.944 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.1406 0.90679 0.004 0.008 0.016 0.952 0.020 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.3252 0.76225 0.000 0.032 0.128 0.012 0.828 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 6 0.4900 0.36060 0.068 0.224 0.000 0.004 0.020 0.684
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.2544 0.88322 0.044 0.036 0.004 0.896 0.020 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.2818 0.81020 0.000 0.028 0.076 0.024 0.872 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0837 0.90353 0.000 0.020 0.972 0.004 0.000 0.004
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.2507 0.88503 0.000 0.036 0.056 0.892 0.016 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.2814 0.80917 0.820 0.008 0.000 0.000 0.172 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.4262 0.75647 0.776 0.064 0.000 0.112 0.048 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.3934 0.80069 0.796 0.068 0.000 0.028 0.108 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.1267 0.84777 0.060 0.000 0.000 0.000 0.940 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.4503 0.75178 0.756 0.068 0.000 0.124 0.052 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.5733 0.70800 0.056 0.472 0.000 0.032 0.008 0.432
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.5055 0.72187 0.028 0.120 0.716 0.012 0.124 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.3907 0.51932 0.044 0.100 0.016 0.004 0.020 0.816
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.6115 0.02006 0.000 0.108 0.412 0.440 0.040 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.3969 0.83206 0.008 0.644 0.000 0.004 0.000 0.344
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.4533 0.76081 0.756 0.092 0.000 0.104 0.048 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 6 0.5690 -0.67674 0.052 0.452 0.000 0.032 0.008 0.456
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.1643 0.89534 0.008 0.068 0.924 0.000 0.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 6 0.0508 0.57314 0.000 0.012 0.000 0.004 0.000 0.984
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.1508 0.90558 0.012 0.004 0.016 0.948 0.020 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.6597 0.09589 0.232 0.516 0.000 0.000 0.076 0.176
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.3027 0.81612 0.824 0.028 0.000 0.000 0.148 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.3122 0.80724 0.804 0.020 0.000 0.000 0.176 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.4543 0.80933 0.752 0.068 0.000 0.052 0.128 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.2877 0.81293 0.820 0.012 0.000 0.000 0.168 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.1425 0.85136 0.008 0.008 0.012 0.020 0.952 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.5891 0.55383 0.004 0.156 0.028 0.220 0.592 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 6 0.5690 -0.67674 0.052 0.452 0.000 0.032 0.008 0.456
#> 019B857C-D4F7-4B67-B699-56E52A60805B 6 0.0146 0.57392 0.000 0.000 0.000 0.004 0.000 0.996
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.2544 0.88322 0.044 0.036 0.004 0.896 0.020 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.1333 0.85264 0.048 0.000 0.000 0.008 0.944 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.3592 0.83489 0.000 0.656 0.000 0.000 0.000 0.344
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.5730 0.71433 0.056 0.476 0.000 0.032 0.008 0.428
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.4793 0.82127 0.040 0.608 0.000 0.008 0.004 0.340
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.2295 0.89324 0.032 0.028 0.008 0.912 0.020 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.2541 0.89809 0.000 0.052 0.024 0.892 0.032 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.5690 0.66910 0.052 0.456 0.000 0.032 0.008 0.452
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.5690 0.67757 0.052 0.460 0.000 0.032 0.008 0.448
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.3156 0.80452 0.800 0.020 0.000 0.000 0.180 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.2820 0.80455 0.012 0.008 0.008 0.112 0.860 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.3592 0.75558 0.740 0.020 0.000 0.000 0.240 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.4809 0.68056 0.652 0.108 0.000 0.000 0.240 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 6 0.5094 -0.36380 0.040 0.472 0.000 0.004 0.012 0.472
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.1579 0.85377 0.020 0.008 0.004 0.024 0.944 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.5323 0.74100 0.684 0.116 0.000 0.140 0.060 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.4793 0.82127 0.040 0.608 0.000 0.008 0.004 0.340
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.3588 0.79320 0.776 0.044 0.000 0.000 0.180 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 17377 rows and 265 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 0.994 0.4935 0.506 0.506
#> 3 3 0.909 0.934 0.970 0.3407 0.743 0.533
#> 4 4 0.914 0.892 0.957 0.1178 0.840 0.578
#> 5 5 0.942 0.915 0.961 0.0655 0.888 0.618
#> 6 6 0.881 0.876 0.917 0.0464 0.960 0.812
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.989 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.998 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.989 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.989 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.998 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.989 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.998 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.989 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.989 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.998 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.998 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.989 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.989 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 2 0.0000 0.989 0.000 1.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.989 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.998 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.998 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 2 0.0376 0.985 0.004 0.996
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.998 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.998 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.0000 0.989 0.000 1.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.998 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.998 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 2 0.0000 0.989 0.000 1.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.989 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.989 0.000 1.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.998 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.998 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.998 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.998 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.0000 0.998 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.998 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.998 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.998 1.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.989 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.998 1.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 0.989 0.000 1.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.989 0.000 1.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 2 0.5519 0.854 0.128 0.872
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.998 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.0000 0.989 0.000 1.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.989 0.000 1.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.0000 0.989 0.000 1.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.0000 0.998 1.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.989 0.000 1.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.989 0.000 1.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.0000 0.989 0.000 1.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.0000 0.998 1.000 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.998 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.989 0.000 1.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.998 1.000 0.000
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#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.998 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.998 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.989 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.989 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.989 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.998 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 2 0.8661 0.605 0.288 0.712
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.989 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.989 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.998 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0000 0.998 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.998 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.998 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.989 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.998 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.998 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.989 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.998 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 1.0000 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.9600 1.000 0.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 1.0000 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 1.0000 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 3 0.2796 0.8742 0.092 0.000 0.908
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 1.0000 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.0000 0.9458 0.000 0.000 1.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 1.0000 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 1.0000 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.9600 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.9600 1.000 0.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 1.0000 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 1.0000 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9458 0.000 0.000 1.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 1.0000 0.000 1.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.9600 1.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.9600 1.000 0.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.9458 0.000 0.000 1.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.9600 1.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.9600 1.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.0000 1.0000 0.000 1.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.9600 1.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0237 0.9568 0.996 0.000 0.004
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9458 0.000 0.000 1.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 1.0000 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 1.0000 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.9600 1.000 0.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.3551 0.8433 0.868 0.000 0.132
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.9600 1.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.9600 1.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.0000 0.9458 0.000 0.000 1.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.9600 1.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.9600 1.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.9600 1.000 0.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 1.0000 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.9600 1.000 0.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 1.0000 0.000 1.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 1.0000 0.000 1.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.6204 0.2726 0.576 0.424 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 3 0.1753 0.9181 0.048 0.000 0.952
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9458 0.000 0.000 1.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 1.0000 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.0000 1.0000 0.000 1.000 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0000 0.9458 0.000 0.000 1.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 1.0000 0.000 1.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 1.0000 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.9458 0.000 0.000 1.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.3816 0.8321 0.148 0.000 0.852
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.9600 1.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 1.0000 0.000 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 3 0.0000 0.9458 0.000 0.000 1.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.3686 0.8349 0.860 0.000 0.140
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.9600 1.000 0.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.5397 0.6559 0.280 0.000 0.720
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.2711 0.8859 0.912 0.000 0.088
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.9600 1.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9458 0.000 0.000 1.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.9600 1.000 0.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.9600 1.000 0.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 1.0000 0.000 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 1.0000 0.000 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 1.0000 0.000 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.9600 1.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.9600 1.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.9600 1.000 0.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.0000 0.9458 0.000 0.000 1.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.9600 1.000 0.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.3551 0.8470 0.132 0.000 0.868
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.9600 1.000 0.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0000 0.9600 1.000 0.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.9600 1.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 3 0.5497 0.6354 0.292 0.000 0.708
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 1.0000 0.000 1.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 1.0000 0.000 1.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 1.0000 0.000 1.000 0.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 1.0000 0.000 1.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 3 0.0424 0.9415 0.008 0.000 0.992
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.9458 0.000 0.000 1.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.9600 1.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.9600 1.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 1.0000 0.000 1.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 3 0.0000 0.9458 0.000 0.000 1.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.3686 0.8349 0.860 0.000 0.140
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.9600 1.000 0.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0000 0.9458 0.000 0.000 1.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.3619 0.8393 0.864 0.000 0.136
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.9600 1.000 0.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 1.0000 0.000 1.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 1.0000 0.000 1.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.9600 1.000 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.9600 1.000 0.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.9600 1.000 0.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.0000 0.9458 0.000 0.000 1.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 1.0000 0.000 1.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 3 0.0000 0.9458 0.000 0.000 1.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 3 0.0000 0.9458 0.000 0.000 1.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.9600 1.000 0.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.9600 1.000 0.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.9600 1.000 0.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0000 0.9600 1.000 0.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.9600 1.000 0.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 1.0000 0.000 1.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0000 0.9458 0.000 0.000 1.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.3551 0.8433 0.868 0.000 0.132
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 1.0000 0.000 1.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0000 0.9458 0.000 0.000 1.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0000 0.9458 0.000 0.000 1.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0000 0.9600 1.000 0.000 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0000 0.9458 0.000 0.000 1.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.9600 1.000 0.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 1.0000 0.000 1.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0000 0.9600 1.000 0.000 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 3 0.0000 0.9458 0.000 0.000 1.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.3551 0.8433 0.868 0.000 0.132
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0000 0.9458 0.000 0.000 1.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 3 0.2625 0.8886 0.084 0.000 0.916
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0000 0.9458 0.000 0.000 1.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.0000 0.9458 0.000 0.000 1.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0000 0.9600 1.000 0.000 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.0000 0.9458 0.000 0.000 1.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0000 0.9600 1.000 0.000 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.3482 0.8474 0.872 0.000 0.128
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.9600 1.000 0.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 1.0000 0.000 1.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0000 0.9458 0.000 0.000 1.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 3 0.2796 0.8742 0.092 0.000 0.908
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.9600 1.000 0.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 1.0000 0.000 1.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.0000 1.0000 0.000 1.000 0.000
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 1.0000 0.000 1.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.5497 0.5937 0.000 0.292 0.708
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 1.0000 0.000 1.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.9600 1.000 0.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 1.0000 0.000 1.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 1.0000 0.000 1.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.9600 1.000 0.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 1.0000 0.000 1.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 3 0.3752 0.8359 0.144 0.000 0.856
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 1.0000 0.000 1.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.0000 0.9458 0.000 0.000 1.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0000 0.9458 0.000 0.000 1.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.6111 0.2997 0.604 0.000 0.396
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 1.0000 0.000 1.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 3 0.0000 0.9458 0.000 0.000 1.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 3 0.0000 0.9458 0.000 0.000 1.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.0592 0.9502 0.988 0.000 0.012
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.9600 1.000 0.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 3 0.6299 0.0707 0.476 0.000 0.524
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.9600 1.000 0.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0000 0.9600 1.000 0.000 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 3 0.0000 0.9458 0.000 0.000 1.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.9600 1.000 0.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 3 0.3551 0.8470 0.132 0.000 0.868
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 3 0.0000 0.9458 0.000 0.000 1.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 3 0.5835 0.5442 0.340 0.000 0.660
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.6168 0.2490 0.588 0.000 0.412
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.0000 0.9600 1.000 0.000 0.000
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0000 0.9600 1.000 0.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0000 0.9458 0.000 0.000 1.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 3 0.0000 0.9458 0.000 0.000 1.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 1.0000 0.000 1.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 1.0000 0.000 1.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.9600 1.000 0.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0000 0.9458 0.000 0.000 1.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.9600 1.000 0.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.9600 1.000 0.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.9600 1.000 0.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0000 0.9458 0.000 0.000 1.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 1.0000 0.000 1.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 1.0000 0.000 1.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.0000 0.9458 0.000 0.000 1.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 3 0.0000 0.9458 0.000 0.000 1.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 1.0000 0.000 1.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.3551 0.8433 0.868 0.000 0.132
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.9600 1.000 0.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 1.0000 0.000 1.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.9600 1.000 0.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0000 1.0000 0.000 1.000 0.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.9600 1.000 0.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 1.0000 0.000 1.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 1.0000 0.000 1.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 3 0.3551 0.8470 0.132 0.000 0.868
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 1.0000 0.000 1.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 3 0.0747 0.9364 0.016 0.000 0.984
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.4974 0.6724 0.764 0.000 0.236
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0000 0.9458 0.000 0.000 1.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.9600 1.000 0.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 3 0.0000 0.9458 0.000 0.000 1.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 1.0000 0.000 1.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 1.0000 0.000 1.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.0000 0.9600 1.000 0.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.9600 1.000 0.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.0000 0.9458 0.000 0.000 1.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.9600 1.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 0.9458 0.000 0.000 1.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 1.0000 0.000 1.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 1.0000 0.000 1.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 3 0.0592 0.9390 0.012 0.000 0.988
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0000 0.9458 0.000 0.000 1.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.9458 0.000 0.000 1.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 3 0.6111 0.4108 0.396 0.000 0.604
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.4121 0.8111 0.168 0.000 0.832
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 1.0000 0.000 1.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.9600 1.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0000 0.9458 0.000 0.000 1.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 1.0000 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.3482 0.8474 0.872 0.000 0.128
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 1.0000 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.9600 1.000 0.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 1.0000 0.000 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 0.9458 0.000 0.000 1.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 1.0000 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 1.0000 0.000 1.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 1.0000 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.9600 1.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.9600 1.000 0.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 3 0.2625 0.8812 0.084 0.000 0.916
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.3551 0.8470 0.132 0.000 0.868
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 1.0000 0.000 1.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.3816 0.8265 0.852 0.000 0.148
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.3551 0.8470 0.132 0.000 0.868
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.9458 0.000 0.000 1.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 3 0.0000 0.9458 0.000 0.000 1.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.9600 1.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.9600 1.000 0.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.9600 1.000 0.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.9600 1.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.9600 1.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 1.0000 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0000 0.9458 0.000 0.000 1.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 1.0000 0.000 1.000 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.0000 0.9458 0.000 0.000 1.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 1.0000 0.000 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.9600 1.000 0.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 1.0000 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.9458 0.000 0.000 1.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 1.0000 0.000 1.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 3 0.0592 0.9390 0.012 0.000 0.988
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0000 1.0000 0.000 1.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.9600 1.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.9600 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.9600 1.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.9600 1.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.5216 0.6298 0.740 0.000 0.260
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 3 0.5529 0.6282 0.296 0.000 0.704
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 1.0000 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 1.0000 0.000 1.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.3551 0.8433 0.868 0.000 0.132
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.9600 1.000 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 1.0000 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 1.0000 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 1.0000 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.5706 0.5598 0.680 0.000 0.320
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.0000 0.9458 0.000 0.000 1.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 1.0000 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 1.0000 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9600 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.5178 0.6372 0.744 0.000 0.256
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9600 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.9600 1.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 1.0000 0.000 1.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.9600 1.000 0.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.9600 1.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 1.0000 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9600 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0000 0.9038 0.000 0.000 0.000 1.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.9038 0.000 0.000 0.000 1.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9501 0.000 0.000 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0000 0.9038 0.000 0.000 0.000 1.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.9501 0.000 0.000 1.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.3569 0.7505 0.000 0.804 0.196 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.4961 0.2113 0.448 0.000 0.000 0.552
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9501 0.000 0.000 1.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0000 0.9038 0.000 0.000 0.000 1.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0000 0.9038 0.000 0.000 0.000 1.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.3356 0.7497 0.824 0.000 0.000 0.176
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.3610 0.7093 0.800 0.200 0.000 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.3913 0.7772 0.824 0.000 0.148 0.028
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9501 0.000 0.000 1.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.0188 0.9467 0.000 0.004 0.996 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0000 0.9501 0.000 0.000 1.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.9501 0.000 0.000 1.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.3649 0.7418 0.204 0.000 0.796 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.0000 0.9038 0.000 0.000 0.000 1.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0000 0.9038 0.000 0.000 0.000 1.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0000 0.9038 0.000 0.000 0.000 1.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.4790 0.3634 0.620 0.000 0.380 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0000 0.9038 0.000 0.000 0.000 1.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9501 0.000 0.000 1.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.9385 1.000 0.000 0.000 0.000
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#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 4 0.4967 0.2372 0.452 0.000 0.000 0.548
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.9501 0.000 0.000 1.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0000 0.9038 0.000 0.000 0.000 1.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.3400 0.7466 0.820 0.000 0.000 0.180
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.6654 0.4331 0.588 0.000 0.296 0.116
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0000 0.9038 0.000 0.000 0.000 1.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0000 0.9038 0.000 0.000 0.000 1.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0188 0.9010 0.000 0.000 0.004 0.996
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.4999 0.0625 0.492 0.000 0.000 0.508
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.9385 1.000 0.000 0.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4985 0.1881 0.468 0.000 0.000 0.532
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9949 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9385 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.3774 0.577 0.704 0.000 0.000 0.000 0.296
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0324 0.982 0.004 0.992 0.004 0.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.3480 0.650 0.248 0.000 0.000 0.752 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.0609 0.934 0.020 0.000 0.000 0.000 0.980
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.4114 0.398 0.624 0.000 0.000 0.000 0.376
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.4426 0.382 0.004 0.612 0.380 0.000 0.004
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.1732 0.878 0.000 0.000 0.000 0.080 0.920
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.4101 0.409 0.628 0.000 0.000 0.000 0.372
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.4248 0.630 0.728 0.240 0.000 0.000 0.032
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.4040 0.637 0.016 0.000 0.000 0.260 0.724
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.0324 0.977 0.004 0.000 0.992 0.000 0.004
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.0290 0.940 0.000 0.000 0.008 0.000 0.992
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.4101 0.436 0.628 0.000 0.000 0.372 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.1043 0.927 0.040 0.000 0.000 0.960 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.0162 0.943 0.000 0.000 0.004 0.000 0.996
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.1121 0.891 0.956 0.000 0.000 0.000 0.044
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 5 0.3752 0.599 0.292 0.000 0.000 0.000 0.708
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.3796 0.578 0.300 0.000 0.000 0.000 0.700
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.2280 0.839 0.120 0.000 0.000 0.000 0.880
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.3586 0.607 0.000 0.000 0.264 0.736 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.0162 0.943 0.000 0.000 0.004 0.000 0.996
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.3336 0.712 0.772 0.000 0.000 0.228 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.3913 0.514 0.676 0.000 0.000 0.000 0.324
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.0162 0.943 0.000 0.000 0.004 0.000 0.996
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0324 0.984 0.004 0.992 0.000 0.000 0.004
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.0609 0.945 0.000 0.000 0.000 0.980 0.020
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0162 0.915 0.996 0.000 0.000 0.004 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.3966 0.521 0.664 0.000 0.000 0.336 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.2516 0.808 0.860 0.000 0.000 0.140 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.3837 0.574 0.692 0.000 0.000 0.308 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0162 0.915 0.996 0.000 0.000 0.004 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 5 0.3774 0.582 0.296 0.000 0.000 0.000 0.704
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 4 0.2690 0.799 0.156 0.000 0.000 0.844 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.3336 0.712 0.772 0.000 0.000 0.228 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 5 0.0290 0.941 0.000 0.000 0.000 0.008 0.992
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.2329 0.856 0.000 0.000 0.876 0.124 0.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.2561 0.805 0.856 0.000 0.000 0.144 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.4402 0.402 0.004 0.620 0.372 0.000 0.004
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.2848 0.786 0.004 0.156 0.840 0.000 0.000
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 4780A59C-0589-4995-B044-3201F09AF859 5 0.0162 0.943 0.000 0.000 0.004 0.000 0.996
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 5 0.0162 0.943 0.000 0.000 0.000 0.004 0.996
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0771 0.906 0.976 0.000 0.000 0.020 0.004
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 5 0.0290 0.940 0.000 0.000 0.008 0.000 0.992
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 5 0.4671 0.469 0.028 0.000 0.332 0.000 0.640
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 5 0.0162 0.943 0.000 0.000 0.000 0.004 0.996
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.2561 0.805 0.856 0.000 0.000 0.144 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0290 0.915 0.992 0.000 0.000 0.000 0.008
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.3687 0.741 0.792 0.000 0.000 0.180 0.028
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0290 0.915 0.992 0.000 0.000 0.000 0.008
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0324 0.984 0.004 0.992 0.000 0.000 0.004
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.0290 0.940 0.000 0.000 0.008 0.000 0.992
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 5 0.4538 0.179 0.008 0.000 0.000 0.452 0.540
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.4101 0.362 0.372 0.000 0.000 0.628 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.3395 0.669 0.236 0.000 0.000 0.764 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.0963 0.951 0.000 0.000 0.964 0.036 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.0162 0.943 0.000 0.000 0.004 0.000 0.996
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.0162 0.943 0.000 0.000 0.004 0.000 0.996
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.3395 0.685 0.764 0.000 0.000 0.236 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.2891 0.772 0.824 0.000 0.000 0.176 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.1121 0.912 0.000 0.000 0.044 0.000 0.956
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0324 0.984 0.004 0.992 0.000 0.000 0.004
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.0290 0.940 0.000 0.000 0.008 0.000 0.992
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0162 0.915 0.996 0.000 0.000 0.004 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0162 0.915 0.996 0.000 0.000 0.004 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0486 0.982 0.004 0.988 0.004 0.000 0.004
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.3424 0.690 0.000 0.000 0.760 0.240 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0162 0.915 0.996 0.000 0.000 0.004 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.983 0.000 0.000 1.000 0.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.3300 0.739 0.204 0.792 0.000 0.000 0.004
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0290 0.915 0.992 0.000 0.000 0.000 0.008
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.4122 0.563 0.004 0.000 0.004 0.304 0.688
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0162 0.984 0.004 0.996 0.000 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0000 0.962 0.000 0.000 0.000 1.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.985 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0290 0.915 0.992 0.000 0.000 0.000 0.008
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.0290 0.941 0.000 0.000 0.000 0.008 0.992
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0609 0.908 0.980 0.000 0.000 0.000 0.020
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0162 0.945 0.004 0.000 0.000 0.000 0.996
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0162 0.915 0.996 0.000 0.000 0.004 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0162 0.985 0.000 0.996 0.000 0.000 0.004
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0162 0.917 0.996 0.000 0.000 0.000 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 6 0.2697 0.955 0.000 0.188 0.000 0.000 0.000 0.812
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.3394 0.648 0.752 0.000 0.000 0.000 0.236 0.012
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.1863 0.905 0.000 0.896 0.000 0.000 0.000 0.104
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 6 0.2697 0.955 0.000 0.188 0.000 0.000 0.000 0.812
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0547 0.921 0.000 0.000 0.000 0.980 0.000 0.020
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0260 0.936 0.000 0.992 0.000 0.000 0.000 0.008
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.1387 0.919 0.000 0.000 0.000 0.932 0.000 0.068
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0260 0.936 0.000 0.992 0.000 0.000 0.000 0.008
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 6 0.2697 0.955 0.000 0.188 0.000 0.000 0.000 0.812
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0000 0.927 0.000 0.000 0.000 0.000 1.000 0.000
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#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0260 0.972 0.000 0.000 0.992 0.000 0.000 0.008
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.1267 0.920 0.000 0.000 0.000 0.940 0.000 0.060
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0146 0.935 0.000 0.996 0.000 0.000 0.000 0.004
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.1814 0.908 0.000 0.900 0.000 0.000 0.000 0.100
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.1010 0.882 0.960 0.000 0.000 0.000 0.004 0.036
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0363 0.971 0.000 0.000 0.988 0.000 0.000 0.012
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 5 0.0260 0.924 0.008 0.000 0.000 0.000 0.992 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.4322 0.720 0.744 0.000 0.000 0.160 0.012 0.084
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 5 0.0000 0.927 0.000 0.000 0.000 0.000 1.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0000 0.973 0.000 0.000 1.000 0.000 0.000 0.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 6 0.2697 0.949 0.000 0.188 0.000 0.000 0.000 0.812
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 6 0.2697 0.949 0.000 0.188 0.000 0.000 0.000 0.812
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.1141 0.936 0.000 0.000 0.948 0.000 0.000 0.052
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.1387 0.919 0.000 0.000 0.000 0.932 0.000 0.068
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 6 0.2697 0.955 0.000 0.188 0.000 0.000 0.000 0.812
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.1007 0.913 0.000 0.000 0.000 0.956 0.000 0.044
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.1168 0.879 0.956 0.000 0.000 0.016 0.000 0.028
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0146 0.936 0.000 0.996 0.000 0.000 0.000 0.004
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.1285 0.876 0.944 0.000 0.000 0.000 0.004 0.052
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 6 0.2697 0.955 0.000 0.188 0.000 0.000 0.000 0.812
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.1075 0.879 0.952 0.000 0.000 0.000 0.000 0.048
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.3371 0.420 0.000 0.708 0.000 0.000 0.000 0.292
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.1863 0.905 0.000 0.896 0.000 0.000 0.000 0.104
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.1444 0.892 0.000 0.000 0.000 0.000 0.928 0.072
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 6 0.2697 0.955 0.000 0.188 0.000 0.000 0.000 0.812
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.0713 0.919 0.000 0.000 0.000 0.972 0.000 0.028
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 5 0.4063 0.273 0.004 0.000 0.000 0.420 0.572 0.004
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0363 0.971 0.000 0.000 0.988 0.000 0.000 0.012
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.4291 0.493 0.292 0.000 0.000 0.664 0.000 0.044
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.1387 0.919 0.000 0.000 0.000 0.932 0.000 0.068
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0146 0.935 0.000 0.996 0.000 0.000 0.000 0.004
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.1814 0.908 0.000 0.900 0.000 0.000 0.000 0.100
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.0146 0.926 0.000 0.000 0.000 0.000 0.996 0.004
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.3989 0.622 0.236 0.000 0.000 0.720 0.000 0.044
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.2571 0.871 0.000 0.000 0.876 0.060 0.000 0.064
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0547 0.884 0.980 0.000 0.000 0.000 0.000 0.020
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0260 0.972 0.000 0.000 0.992 0.000 0.000 0.008
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.1863 0.905 0.000 0.896 0.000 0.000 0.000 0.104
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0260 0.936 0.000 0.992 0.000 0.000 0.000 0.008
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0632 0.920 0.000 0.000 0.000 0.976 0.000 0.024
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0000 0.973 0.000 0.000 1.000 0.000 0.000 0.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.973 0.000 0.000 1.000 0.000 0.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.0363 0.924 0.000 0.000 0.000 0.000 0.988 0.012
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.0000 0.927 0.000 0.000 0.000 0.000 1.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0713 0.933 0.000 0.972 0.000 0.000 0.000 0.028
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.886 1.000 0.000 0.000 0.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0000 0.973 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.1863 0.905 0.000 0.896 0.000 0.000 0.000 0.104
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.4065 0.682 0.724 0.000 0.000 0.220 0.000 0.056
#> 7A110994-5741-4013-91F0-DD2E1D343F91 6 0.2697 0.955 0.000 0.188 0.000 0.000 0.000 0.812
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0146 0.886 0.996 0.000 0.000 0.000 0.000 0.004
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0146 0.935 0.000 0.996 0.000 0.000 0.000 0.004
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 0.973 0.000 0.000 1.000 0.000 0.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.1863 0.905 0.000 0.896 0.000 0.000 0.000 0.104
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0146 0.935 0.000 0.996 0.000 0.000 0.000 0.004
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.1765 0.910 0.000 0.904 0.000 0.000 0.000 0.096
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.4284 0.639 0.688 0.000 0.000 0.256 0.000 0.056
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.0000 0.927 0.000 0.000 0.000 0.000 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0000 0.923 0.000 0.000 0.000 1.000 0.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.1010 0.904 0.000 0.000 0.036 0.000 0.960 0.004
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.2454 0.751 0.000 0.840 0.000 0.000 0.000 0.160
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.1007 0.913 0.000 0.000 0.000 0.956 0.000 0.044
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.0146 0.926 0.000 0.000 0.000 0.000 0.996 0.004
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.973 0.000 0.000 1.000 0.000 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.1007 0.922 0.000 0.000 0.000 0.956 0.000 0.044
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.886 1.000 0.000 0.000 0.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.1367 0.873 0.944 0.000 0.000 0.012 0.000 0.044
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.1007 0.884 0.956 0.000 0.000 0.000 0.000 0.044
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.0000 0.927 0.000 0.000 0.000 0.000 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.1934 0.859 0.916 0.000 0.000 0.040 0.000 0.044
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.1663 0.913 0.000 0.912 0.000 0.000 0.000 0.088
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0790 0.953 0.000 0.000 0.968 0.000 0.000 0.032
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.2980 0.925 0.000 0.192 0.008 0.000 0.000 0.800
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.4596 0.594 0.000 0.000 0.672 0.240 0.000 0.088
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0146 0.935 0.000 0.996 0.000 0.000 0.000 0.004
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.1563 0.874 0.932 0.000 0.000 0.012 0.000 0.056
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.1863 0.905 0.000 0.896 0.000 0.000 0.000 0.104
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0363 0.971 0.000 0.000 0.988 0.000 0.000 0.012
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 6 0.2697 0.955 0.000 0.188 0.000 0.000 0.000 0.812
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0458 0.922 0.000 0.000 0.000 0.984 0.000 0.016
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.1856 0.853 0.032 0.920 0.000 0.000 0.000 0.048
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0363 0.886 0.988 0.000 0.000 0.000 0.000 0.012
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0622 0.885 0.980 0.000 0.000 0.000 0.008 0.012
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0713 0.886 0.972 0.000 0.000 0.000 0.000 0.028
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0146 0.886 0.996 0.000 0.000 0.000 0.000 0.004
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.0000 0.927 0.000 0.000 0.000 0.000 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.5728 0.430 0.016 0.000 0.008 0.288 0.576 0.112
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.1863 0.905 0.000 0.896 0.000 0.000 0.000 0.104
#> 019B857C-D4F7-4B67-B699-56E52A60805B 6 0.2697 0.955 0.000 0.188 0.000 0.000 0.000 0.812
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.1007 0.913 0.000 0.000 0.000 0.956 0.000 0.044
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0000 0.927 0.000 0.000 0.000 0.000 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0146 0.935 0.000 0.996 0.000 0.000 0.000 0.004
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.1610 0.915 0.000 0.916 0.000 0.000 0.000 0.084
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0146 0.935 0.000 0.996 0.000 0.000 0.000 0.004
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0865 0.916 0.000 0.000 0.000 0.964 0.000 0.036
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.1387 0.919 0.000 0.000 0.000 0.932 0.000 0.068
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.1814 0.908 0.000 0.900 0.000 0.000 0.000 0.100
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.1765 0.910 0.000 0.904 0.000 0.000 0.000 0.096
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0508 0.886 0.984 0.000 0.000 0.000 0.004 0.012
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.0000 0.927 0.000 0.000 0.000 0.000 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.1151 0.877 0.956 0.000 0.000 0.000 0.032 0.012
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.1349 0.875 0.940 0.000 0.000 0.000 0.004 0.056
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0260 0.932 0.000 0.992 0.000 0.000 0.000 0.008
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0000 0.927 0.000 0.000 0.000 0.000 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.2106 0.873 0.904 0.000 0.000 0.032 0.000 0.064
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0146 0.935 0.000 0.996 0.000 0.000 0.000 0.004
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0937 0.881 0.960 0.000 0.000 0.000 0.000 0.040
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 17377 rows and 265 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.974 0.990 0.4129 0.589 0.589
#> 3 3 0.635 0.789 0.881 0.5873 0.732 0.551
#> 4 4 0.826 0.848 0.921 0.1355 0.907 0.729
#> 5 5 0.894 0.885 0.948 0.0506 0.946 0.798
#> 6 6 0.894 0.874 0.943 0.0504 0.950 0.774
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9852 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.9909 1.000 0.000
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#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.9909 1.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.0000 0.9909 1.000 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.9909 1.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 1 0.0000 0.9909 1.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.9852 0.000 1.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9852 0.000 1.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.9909 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 1 0.0000 0.9909 1.000 0.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 1 0.0000 0.9909 1.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0000 0.9909 1.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.0000 0.9909 1.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9852 0.000 1.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.9909 1.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 1 0.0000 0.9909 1.000 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9852 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.9909 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.9852 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.9909 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9852 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.0000 0.9909 1.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9852 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9852 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9852 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.9909 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.9909 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0000 0.9909 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.0000 0.9909 1.000 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9852 0.000 1.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.9909 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.0000 0.9909 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 1 0.0000 0.9909 1.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0000 0.9909 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.9909 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.9909 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0672 0.9834 0.992 0.008
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.9909 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.9909 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9852 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.0000 0.9909 1.000 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.9460 0.4254 0.364 0.636
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0000 0.9909 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9852 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.9909 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9852 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.0000 0.9909 1.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0376 0.9818 0.004 0.996
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.9909 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.9993 0.0551 0.484 0.516
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.9909 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.9909 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.9909 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.9909 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.9909 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.9909 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9852 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.9852 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.9909 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.9909 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9852 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9852 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9852 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.9909 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.0000 0.9909 1.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9852 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9852 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9909 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0000 0.9909 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9909 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.9909 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.6048 0.8198 0.148 0.852
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.9909 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.9909 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9852 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9909 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9853 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.5327 0.6510 0.728 0.000 0.272
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9853 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9853 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 3 0.1411 0.8416 0.036 0.000 0.964
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9853 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.2448 0.8516 0.076 0.000 0.924
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9853 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9853 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.7676 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0237 0.7672 0.996 0.000 0.004
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9853 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9853 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.3752 0.8549 0.144 0.000 0.856
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0237 0.9814 0.000 0.996 0.004
#> 58578614-E4A3-4655-BBAB-F65851625E0A 3 0.0000 0.8273 0.000 0.000 1.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.5216 0.6449 0.740 0.000 0.260
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.5650 0.5697 0.688 0.000 0.312
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.3116 0.7413 0.892 0.000 0.108
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.1643 0.7640 0.956 0.000 0.044
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 3 0.8016 0.6255 0.156 0.188 0.656
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.3816 0.7333 0.852 0.000 0.148
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.5254 0.6429 0.736 0.000 0.264
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.3686 0.8561 0.140 0.000 0.860
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9853 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9853 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.2356 0.7582 0.928 0.000 0.072
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 3 0.0000 0.8273 0.000 0.000 1.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.3686 0.7359 0.860 0.000 0.140
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.3686 0.7359 0.860 0.000 0.140
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.3686 0.8561 0.140 0.000 0.860
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.7676 1.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.3816 0.7333 0.852 0.000 0.148
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.3686 0.7359 0.860 0.000 0.140
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9853 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.3879 0.7328 0.848 0.000 0.152
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 3 0.1832 0.8315 0.036 0.008 0.956
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9853 0.000 1.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.3573 0.7113 0.876 0.120 0.004
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 3 0.5882 0.5281 0.348 0.000 0.652
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.3816 0.8522 0.148 0.000 0.852
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9853 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.7211 0.6572 0.716 0.128 0.156
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.5098 0.7518 0.248 0.000 0.752
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0592 0.9732 0.000 0.988 0.012
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9853 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.3686 0.8561 0.140 0.000 0.860
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.4654 0.6891 0.792 0.000 0.208
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 3 0.0424 0.8245 0.008 0.000 0.992
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9853 0.000 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 3 0.3619 0.8569 0.136 0.000 0.864
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 3 0.0000 0.8273 0.000 0.000 1.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.5138 0.6526 0.748 0.000 0.252
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.5178 0.6489 0.744 0.000 0.256
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 3 0.0000 0.8273 0.000 0.000 1.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.7676 1.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.5291 0.7079 0.268 0.000 0.732
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.3686 0.7359 0.860 0.000 0.140
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.2448 0.7576 0.924 0.000 0.076
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.9853 0.000 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9853 0.000 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9853 0.000 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.7676 1.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.7676 1.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.7676 1.000 0.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.3686 0.8561 0.140 0.000 0.860
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.4062 0.7307 0.836 0.000 0.164
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.5706 0.5573 0.680 0.000 0.320
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.6045 0.6445 0.620 0.000 0.380
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.2537 0.7627 0.920 0.000 0.080
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.7676 1.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.5254 0.6404 0.736 0.000 0.264
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.9853 0.000 1.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9853 0.000 1.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 3 0.9091 0.3082 0.152 0.344 0.504
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9853 0.000 1.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 3 0.4062 0.8453 0.164 0.000 0.836
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.3816 0.8522 0.148 0.000 0.852
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 3 0.6079 0.2171 0.388 0.000 0.612
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.7676 1.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.9853 0.000 1.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 3 0.3686 0.8561 0.140 0.000 0.860
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 3 0.0000 0.8273 0.000 0.000 1.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 3 0.5650 0.3844 0.312 0.000 0.688
#> CD6F9E20-B301-4663-87EC-953EDF49754F 1 0.6062 0.4272 0.616 0.000 0.384
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 3 0.0000 0.8273 0.000 0.000 1.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.3686 0.7359 0.860 0.000 0.140
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9853 0.000 1.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9853 0.000 1.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 3 0.0424 0.8245 0.008 0.000 0.992
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.3816 0.7333 0.852 0.000 0.148
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.7676 1.000 0.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.5254 0.6419 0.736 0.000 0.264
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.4121 0.7628 0.000 0.832 0.168
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 3 0.3686 0.8561 0.140 0.000 0.860
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 3 0.2448 0.8516 0.076 0.000 0.924
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.5926 0.6639 0.644 0.000 0.356
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.6180 0.3789 0.584 0.000 0.416
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.7676 1.000 0.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.3686 0.7359 0.860 0.000 0.140
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.7676 1.000 0.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.9853 0.000 1.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.3686 0.8561 0.140 0.000 0.860
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 3 0.0000 0.8273 0.000 0.000 1.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.9853 0.000 1.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.3752 0.8542 0.144 0.000 0.856
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.5835 0.5551 0.340 0.000 0.660
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.6062 0.6410 0.616 0.000 0.384
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.3941 0.8481 0.156 0.000 0.844
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.3816 0.7333 0.852 0.000 0.148
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.9853 0.000 1.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.3879 0.7344 0.848 0.000 0.152
#> EF12E923-1860-4269-B57B-BA6238FA4403 3 0.3686 0.8561 0.140 0.000 0.860
#> 51B7241E-F0BE-482A-88AE-89004BB68989 3 0.0000 0.8273 0.000 0.000 1.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.3816 0.8528 0.148 0.000 0.852
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.5465 0.6074 0.712 0.000 0.288
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.3686 0.8561 0.140 0.000 0.860
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.3816 0.8522 0.148 0.000 0.852
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.4842 0.6779 0.776 0.000 0.224
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.4555 0.8062 0.200 0.000 0.800
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0000 0.7676 1.000 0.000 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 3 0.0000 0.8273 0.000 0.000 1.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0424 0.7670 0.992 0.000 0.008
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.9853 0.000 1.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.4452 0.8207 0.192 0.000 0.808
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 3 0.0000 0.8273 0.000 0.000 1.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 3 0.5291 0.4601 0.268 0.000 0.732
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.9853 0.000 1.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 1 0.9880 0.2712 0.384 0.356 0.260
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.9853 0.000 1.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 1 0.9048 0.4703 0.548 0.184 0.268
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.9853 0.000 1.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.6252 0.2995 0.556 0.000 0.444
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.9853 0.000 1.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.9853 0.000 1.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.5138 0.6526 0.748 0.000 0.252
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.9853 0.000 1.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.5254 0.6401 0.736 0.000 0.264
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.9853 0.000 1.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.5138 0.7431 0.252 0.000 0.748
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.3816 0.8522 0.148 0.000 0.852
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.5216 0.6449 0.740 0.000 0.260
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.9853 0.000 1.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 3 0.3686 0.8561 0.140 0.000 0.860
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 3 0.3686 0.8561 0.140 0.000 0.860
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.5465 0.6083 0.712 0.000 0.288
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 3 0.0237 0.8262 0.004 0.000 0.996
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 3 0.4399 0.8247 0.188 0.000 0.812
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.4654 0.6888 0.792 0.000 0.208
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.3752 0.7349 0.856 0.000 0.144
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 3 0.3686 0.8561 0.140 0.000 0.860
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.3752 0.7349 0.856 0.000 0.144
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.5291 0.6358 0.732 0.000 0.268
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 3 0.0892 0.8361 0.020 0.000 0.980
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.5905 0.5003 0.648 0.000 0.352
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.5216 0.6449 0.740 0.000 0.260
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.4974 0.6674 0.764 0.000 0.236
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 3 0.5291 0.4598 0.268 0.000 0.732
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.3816 0.8522 0.148 0.000 0.852
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 3 0.2796 0.8545 0.092 0.000 0.908
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.9853 0.000 1.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.9853 0.000 1.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.7676 1.000 0.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.3686 0.8561 0.140 0.000 0.860
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.4002 0.7174 0.840 0.000 0.160
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 3 0.0424 0.8255 0.008 0.000 0.992
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.7676 1.000 0.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 1 0.6062 0.4272 0.616 0.000 0.384
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.9853 0.000 1.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.9853 0.000 1.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.3686 0.8561 0.140 0.000 0.860
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 3 0.3551 0.8571 0.132 0.000 0.868
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.9853 0.000 1.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 3 0.0237 0.8263 0.004 0.000 0.996
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.2959 0.7519 0.900 0.000 0.100
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.9853 0.000 1.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0237 0.7676 0.996 0.000 0.004
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 3 0.6305 0.1218 0.000 0.484 0.516
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.3686 0.7359 0.860 0.000 0.140
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.9853 0.000 1.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9853 0.000 1.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.5810 0.5291 0.664 0.000 0.336
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.9853 0.000 1.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 3 0.2711 0.8545 0.088 0.000 0.912
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.5431 0.6201 0.716 0.000 0.284
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.3686 0.8561 0.140 0.000 0.860
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 3 0.0000 0.8273 0.000 0.000 1.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 3 0.3686 0.8561 0.140 0.000 0.860
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.9853 0.000 1.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.9853 0.000 1.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.4796 0.6803 0.780 0.000 0.220
#> C06603C2-163D-40B6-A9FE-882424F18FE9 3 0.0592 0.8233 0.012 0.000 0.988
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.3619 0.8568 0.136 0.000 0.864
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.3816 0.7333 0.852 0.000 0.148
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.3816 0.8522 0.148 0.000 0.852
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.9853 0.000 1.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9853 0.000 1.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 3 0.0000 0.8273 0.000 0.000 1.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.4555 0.8119 0.200 0.000 0.800
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.3816 0.8522 0.148 0.000 0.852
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0592 0.7662 0.988 0.000 0.012
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.5254 0.6406 0.736 0.000 0.264
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9853 0.000 1.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.3686 0.7359 0.860 0.000 0.140
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.5760 0.6021 0.328 0.000 0.672
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9853 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 3 0.0892 0.8141 0.020 0.000 0.980
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.9853 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.3752 0.7349 0.856 0.000 0.144
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9853 0.000 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.3619 0.8568 0.136 0.000 0.864
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9853 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9853 0.000 1.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9853 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 3 0.2165 0.7846 0.064 0.000 0.936
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.5098 0.6566 0.752 0.000 0.248
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 3 0.0000 0.8273 0.000 0.000 1.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.5016 0.6639 0.760 0.000 0.240
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9853 0.000 1.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 3 0.0000 0.8273 0.000 0.000 1.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.5216 0.6447 0.740 0.000 0.260
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.3686 0.8561 0.140 0.000 0.860
#> 22863A57-F066-4DD1-A859-4336F43D144C 3 0.2066 0.8488 0.060 0.000 0.940
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.3686 0.7359 0.860 0.000 0.140
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 3 0.5678 0.3756 0.316 0.000 0.684
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.4931 0.6845 0.768 0.000 0.232
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.7676 1.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.4555 0.7041 0.800 0.000 0.200
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9853 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.5905 0.4988 0.648 0.000 0.352
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.7256 0.5983 0.124 0.712 0.164
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.3686 0.8561 0.140 0.000 0.860
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9853 0.000 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.5968 0.5066 0.636 0.000 0.364
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9853 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.6062 0.4272 0.616 0.000 0.384
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 3 0.4931 0.6613 0.004 0.212 0.784
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 3 0.3038 0.8557 0.104 0.000 0.896
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.6669 0.0294 0.524 0.468 0.008
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.3816 0.7333 0.852 0.000 0.148
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.2625 0.7557 0.916 0.000 0.084
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 3 0.0592 0.8236 0.012 0.000 0.988
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.7676 1.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.4842 0.6777 0.776 0.000 0.224
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 3 0.3482 0.8574 0.128 0.000 0.872
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9853 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.6235 0.1573 0.000 0.564 0.436
#> E9C28902-05C9-4883-97A4-D612D54E46B4 3 0.1753 0.8040 0.048 0.000 0.952
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.7676 1.000 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9853 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9853 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9853 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.6252 0.2564 0.556 0.000 0.444
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.4062 0.8437 0.164 0.000 0.836
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9853 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9853 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.2711 0.7545 0.912 0.000 0.088
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.5254 0.6401 0.736 0.000 0.264
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.7676 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.2261 0.7623 0.932 0.000 0.068
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.2261 0.9179 0.068 0.932 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.5216 0.6449 0.740 0.000 0.260
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 3 0.0892 0.8170 0.020 0.000 0.980
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9853 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.3816 0.7333 0.852 0.000 0.148
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 3 0.1488 0.8807 0.032 0.000 0.956 0.012
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.1389 0.9295 0.000 0.952 0.000 0.048
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.1398 0.8669 0.040 0.000 0.004 0.956
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0779 0.8722 0.016 0.000 0.004 0.980
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 3 0.0000 0.9023 0.000 0.000 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.0000 0.9023 0.000 0.000 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9778 0.000 1.000 0.000 0.000
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#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 4 0.3907 0.6735 0.000 0.232 0.000 0.768
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0707 0.9138 0.980 0.000 0.020 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 3 0.3355 0.7848 0.004 0.000 0.836 0.160
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.3598 0.8144 0.124 0.000 0.028 0.848
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 3 0.1004 0.8882 0.004 0.000 0.972 0.024
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 4 0.0592 0.8690 0.016 0.000 0.000 0.984
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.4431 0.6732 0.304 0.000 0.000 0.696
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.0779 0.8725 0.004 0.000 0.016 0.980
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 3 0.0000 0.9023 0.000 0.000 1.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.4522 0.6532 0.320 0.000 0.000 0.680
#> C3921A29-80FF-4B9D-B366-5C0238A42231 4 0.0657 0.8727 0.004 0.000 0.012 0.984
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0707 0.9138 0.980 0.000 0.020 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 4 0.0592 0.8690 0.016 0.000 0.000 0.984
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0707 0.8715 0.020 0.000 0.000 0.980
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 4 0.1256 0.8689 0.008 0.000 0.028 0.964
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 4 0.0592 0.8690 0.016 0.000 0.000 0.984
#> CED15676-B901-4FC8-9C8D-51E529D9441D 3 0.0000 0.9023 0.000 0.000 1.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.0000 0.9023 0.000 0.000 1.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0707 0.9138 0.980 0.000 0.020 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 4 0.3047 0.8098 0.012 0.000 0.116 0.872
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.4522 0.6520 0.320 0.000 0.000 0.680
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0707 0.9138 0.980 0.000 0.020 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 4 0.0469 0.8696 0.012 0.000 0.000 0.988
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.4855 0.5199 0.400 0.000 0.000 0.600
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 3 0.0000 0.9023 0.000 0.000 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0707 0.8715 0.020 0.000 0.000 0.980
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.0000 0.9023 0.000 0.000 1.000 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.4431 0.6732 0.304 0.000 0.000 0.696
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.0188 0.9006 0.000 0.000 0.996 0.004
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 4 0.0592 0.8690 0.016 0.000 0.000 0.984
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.0376 0.8723 0.004 0.000 0.004 0.992
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0707 0.9138 0.980 0.000 0.020 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0657 0.9064 0.984 0.000 0.004 0.012
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0707 0.9138 0.980 0.000 0.020 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 3 0.0000 0.9023 0.000 0.000 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0657 0.9064 0.984 0.000 0.004 0.012
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.3837 0.7228 0.000 0.000 0.776 0.224
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.6784 0.2158 0.000 0.528 0.368 0.104
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.0469 0.8725 0.000 0.000 0.012 0.988
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0657 0.9064 0.984 0.000 0.004 0.012
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.5167 0.5414 0.016 0.000 0.644 0.340
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 4 0.2489 0.8386 0.020 0.068 0.000 0.912
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.1284 0.8715 0.024 0.000 0.012 0.964
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.5427 0.2816 0.568 0.416 0.016 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0707 0.9138 0.980 0.000 0.020 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.3356 0.7955 0.824 0.000 0.176 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.4277 0.6955 0.280 0.000 0.000 0.720
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.4522 0.5973 0.680 0.000 0.320 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 3 0.0000 0.9023 0.000 0.000 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.1209 0.8691 0.004 0.000 0.032 0.964
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 4 0.4431 0.5454 0.000 0.304 0.000 0.696
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.4746 0.6681 0.304 0.000 0.008 0.688
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 3 0.0000 0.9023 0.000 0.000 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 3 0.5355 0.3397 0.020 0.000 0.620 0.360
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.1305 0.8679 0.004 0.000 0.036 0.960
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.3266 0.8033 0.832 0.000 0.168 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.0188 0.9006 0.000 0.000 0.996 0.004
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.4522 0.5973 0.680 0.000 0.320 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.3356 0.7891 0.824 0.000 0.176 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.3486 0.7544 0.000 0.812 0.188 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.0000 0.9023 0.000 0.000 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4431 0.6732 0.304 0.000 0.000 0.696
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9778 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0707 0.9138 0.980 0.000 0.020 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.0609 0.93336 0.020 0.000 0.000 0.000 0.980
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0794 0.88582 0.028 0.000 0.000 0.972 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.89055 0.000 0.000 0.000 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.94877 0.000 0.000 1.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0290 0.97167 0.000 0.992 0.000 0.008 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.3242 0.77451 0.216 0.000 0.000 0.784 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 5 0.0794 0.92757 0.000 0.000 0.000 0.028 0.972
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.2852 0.78978 0.828 0.000 0.000 0.000 0.172
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 4 0.5289 0.61781 0.000 0.180 0.004 0.688 0.128
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.94877 0.000 0.000 1.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.2471 0.82311 0.864 0.000 0.000 0.000 0.136
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0404 0.88864 0.012 0.000 0.000 0.988 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0000 0.89055 0.000 0.000 0.000 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.0162 0.94487 0.004 0.000 0.000 0.000 0.996
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 4 0.3132 0.80357 0.172 0.008 0.000 0.820 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.1043 0.93642 0.000 0.960 0.000 0.000 0.040
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.4454 0.72551 0.760 0.112 0.000 0.000 0.128
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.3452 0.62716 0.000 0.000 0.000 0.756 0.244
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.94877 0.000 0.000 1.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 5 0.1405 0.92053 0.020 0.008 0.000 0.016 0.956
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 4 0.2929 0.75150 0.000 0.000 0.000 0.820 0.180
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0510 0.96357 0.000 0.984 0.000 0.016 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 4 0.3534 0.65620 0.000 0.000 0.256 0.744 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.3242 0.77451 0.216 0.000 0.000 0.784 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0000 0.89055 0.000 0.000 0.000 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0000 0.89055 0.000 0.000 0.000 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0510 0.88759 0.016 0.000 0.000 0.984 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.94877 0.000 0.000 1.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.2424 0.82717 0.868 0.000 0.000 0.000 0.132
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.4256 0.31136 0.564 0.000 0.000 0.000 0.436
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.4219 0.20109 0.416 0.000 0.000 0.000 0.584
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.0000 0.89055 0.000 0.000 0.000 1.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.2127 0.85253 0.000 0.000 0.000 0.108 0.892
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#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 5 0.0510 0.93608 0.000 0.000 0.000 0.016 0.984
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.4101 0.39735 0.000 0.628 0.000 0.000 0.372
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.0000 0.89055 0.000 0.000 0.000 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.94877 0.000 0.000 1.000 0.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 4 0.1952 0.82922 0.004 0.084 0.000 0.912 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0162 0.89009 0.004 0.000 0.000 0.996 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.4489 0.26698 0.572 0.420 0.000 0.000 0.008
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.2127 0.84712 0.892 0.000 0.000 0.000 0.108
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.0880 0.88440 0.032 0.000 0.000 0.968 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.3242 0.74229 0.784 0.000 0.000 0.000 0.216
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.0000 0.89055 0.000 0.000 0.000 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.4278 0.11067 0.000 0.548 0.000 0.452 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.4150 0.75209 0.216 0.000 0.000 0.748 0.036
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 5 0.4570 0.36863 0.020 0.000 0.000 0.348 0.632
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0000 0.89055 0.000 0.000 0.000 1.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.2230 0.84123 0.884 0.000 0.000 0.000 0.116
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.3242 0.74229 0.784 0.000 0.000 0.000 0.216
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.2423 0.85560 0.896 0.000 0.000 0.024 0.080
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.3039 0.74210 0.000 0.808 0.000 0.000 0.192
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0000 0.94743 0.000 0.000 0.000 0.000 1.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.3242 0.77451 0.216 0.000 0.000 0.784 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.97964 0.000 1.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.92148 1.000 0.000 0.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 6 0.0547 0.9323 0.000 0.020 0.000 0.000 0.000 0.980
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.0547 0.9424 0.020 0.000 0.000 0.000 0.980 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0146 0.9328 0.000 0.996 0.000 0.000 0.000 0.004
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 6 0.1007 0.9173 0.000 0.044 0.000 0.000 0.000 0.956
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0865 0.9033 0.036 0.000 0.000 0.964 0.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0363 0.9317 0.000 0.988 0.000 0.000 0.000 0.012
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.9153 0.000 0.000 0.000 1.000 0.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0363 0.9317 0.000 0.988 0.000 0.000 0.000 0.012
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 6 0.0363 0.9346 0.000 0.012 0.000 0.000 0.000 0.988
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0146 0.9328 0.000 0.996 0.000 0.000 0.000 0.004
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.3672 0.4640 0.000 0.632 0.000 0.000 0.000 0.368
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9416 0.000 0.000 1.000 0.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 6 0.0146 0.9329 0.000 0.004 0.000 0.000 0.000 0.996
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.2941 0.7811 0.220 0.000 0.000 0.780 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 5 0.0363 0.9485 0.000 0.000 0.000 0.012 0.988 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.2597 0.7865 0.824 0.000 0.000 0.000 0.176 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.0146 0.9329 0.000 0.004 0.000 0.000 0.000 0.996
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9416 0.000 0.000 1.000 0.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0146 0.9328 0.000 0.996 0.000 0.000 0.000 0.004
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0363 0.9317 0.000 0.988 0.000 0.000 0.000 0.012
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.2260 0.8200 0.860 0.000 0.000 0.000 0.140 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0000 0.9153 0.000 0.000 0.000 1.000 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0000 0.9153 0.000 0.000 0.000 1.000 0.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.0146 0.9553 0.004 0.000 0.000 0.000 0.996 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0363 0.9317 0.000 0.988 0.000 0.000 0.000 0.012
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 6 0.3189 0.6350 0.004 0.000 0.000 0.236 0.000 0.760
#> 655BD3AF-5094-4B19-93A8-401C70369B17 6 0.0937 0.9129 0.000 0.040 0.000 0.000 0.000 0.960
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.4550 0.7438 0.756 0.080 0.000 0.000 0.108 0.056
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.3101 0.6386 0.000 0.000 0.000 0.756 0.244 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9416 0.000 0.000 1.000 0.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0363 0.9317 0.000 0.988 0.000 0.000 0.000 0.012
#> 619F37D2-6771-4727-9079-56BED07F1CF6 6 0.1845 0.8645 0.008 0.004 0.000 0.000 0.072 0.916
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 4 0.2631 0.7597 0.000 0.000 0.000 0.820 0.180 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 6 0.2416 0.8046 0.000 0.156 0.000 0.000 0.000 0.844
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0146 0.9328 0.000 0.996 0.000 0.000 0.000 0.004
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 4 0.3266 0.6429 0.000 0.000 0.272 0.728 0.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.2941 0.7811 0.220 0.000 0.000 0.780 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0363 0.9317 0.000 0.988 0.000 0.000 0.000 0.012
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0000 0.9153 0.000 0.000 0.000 1.000 0.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0000 0.9153 0.000 0.000 0.000 1.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0000 0.9153 0.000 0.000 0.000 1.000 0.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9416 0.000 0.000 1.000 0.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.2219 0.8240 0.864 0.000 0.000 0.000 0.136 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 6 0.0363 0.9346 0.000 0.012 0.000 0.000 0.000 0.988
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0363 0.9317 0.000 0.988 0.000 0.000 0.000 0.012
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0363 0.9317 0.000 0.988 0.000 0.000 0.000 0.012
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.3828 0.2974 0.560 0.000 0.000 0.000 0.440 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.3782 0.2141 0.412 0.000 0.000 0.000 0.588 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.0000 0.9153 0.000 0.000 0.000 1.000 0.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.1863 0.8592 0.000 0.000 0.000 0.104 0.896 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 5 0.2996 0.7042 0.228 0.000 0.000 0.000 0.772 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.2260 0.8171 0.140 0.000 0.000 0.000 0.860 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 6 0.0146 0.9329 0.000 0.004 0.000 0.000 0.000 0.996
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.3857 0.1855 0.000 0.532 0.000 0.000 0.000 0.468
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 6 0.0146 0.9329 0.000 0.004 0.000 0.000 0.000 0.996
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0146 0.9328 0.000 0.996 0.000 0.000 0.000 0.004
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.1387 0.8710 0.000 0.000 0.000 0.932 0.068 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.9416 0.000 0.000 1.000 0.000 0.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 6 0.0363 0.9346 0.000 0.012 0.000 0.000 0.000 0.988
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.0000 0.9153 0.000 0.000 0.000 1.000 0.000 0.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.0000 0.9153 0.000 0.000 0.000 1.000 0.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0146 0.9388 0.000 0.000 0.996 0.004 0.000 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.2941 0.7811 0.220 0.000 0.000 0.780 0.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0146 0.9328 0.000 0.996 0.000 0.000 0.000 0.004
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0146 0.9328 0.000 0.996 0.000 0.000 0.000 0.004
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 4 0.2941 0.7811 0.220 0.000 0.000 0.780 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 6 0.0363 0.9346 0.000 0.012 0.000 0.000 0.000 0.988
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.0000 0.9153 0.000 0.000 0.000 1.000 0.000 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.0000 0.9153 0.000 0.000 0.000 1.000 0.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 5 0.2941 0.7145 0.220 0.000 0.000 0.000 0.780 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 5 0.0865 0.9280 0.036 0.000 0.000 0.000 0.964 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0146 0.9188 0.996 0.000 0.000 0.000 0.004 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.2664 0.7692 0.000 0.816 0.000 0.000 0.000 0.184
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0000 0.9416 0.000 0.000 1.000 0.000 0.000 0.000
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#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.3076 0.6954 0.000 0.760 0.000 0.000 0.000 0.240
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 5 0.4105 0.3852 0.020 0.000 0.000 0.348 0.632 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0000 0.9153 0.000 0.000 0.000 1.000 0.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0146 0.9328 0.000 0.996 0.000 0.000 0.000 0.004
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0146 0.9328 0.000 0.996 0.000 0.000 0.000 0.004
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.2048 0.8381 0.880 0.000 0.000 0.000 0.120 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.2941 0.7389 0.780 0.000 0.000 0.000 0.220 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.2404 0.8488 0.884 0.000 0.000 0.036 0.080 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 6 0.3050 0.6624 0.000 0.236 0.000 0.000 0.000 0.764
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0000 0.9581 0.000 0.000 0.000 0.000 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.2941 0.7811 0.220 0.000 0.000 0.780 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.3592 0.5156 0.000 0.656 0.000 0.000 0.000 0.344
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9211 1.000 0.000 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17377 rows and 265 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 1.000 0.974 0.989 0.4378 0.560 0.560
#> 3 3 0.693 0.726 0.853 0.4814 0.767 0.592
#> 4 4 0.764 0.813 0.898 0.1267 0.901 0.724
#> 5 5 0.788 0.796 0.888 0.0589 0.940 0.784
#> 6 6 0.773 0.715 0.816 0.0401 0.977 0.903
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.977 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.994 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.977 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.977 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.994 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.977 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.994 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.977 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.977 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.994 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.994 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.977 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.977 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.994 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.977 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.994 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.994 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.0000 0.994 1.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.994 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.994 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.7299 0.756 0.204 0.796
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.994 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.994 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.0000 0.994 1.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.977 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.977 0.000 1.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.994 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.994 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.994 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.994 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.0000 0.994 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.994 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.994 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 2 0.7674 0.726 0.224 0.776
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.977 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.994 1.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0376 0.973 0.004 0.996
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.977 0.000 1.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 2 0.9323 0.493 0.348 0.652
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.994 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 1 0.0000 0.994 1.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.977 0.000 1.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.7139 0.767 0.196 0.804
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.0000 0.994 1.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.977 0.000 1.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.977 0.000 1.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 1 0.0000 0.994 1.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.0000 0.994 1.000 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.994 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.977 0.000 1.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.994 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.994 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.994 1.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.0000 0.994 1.000 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.994 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.994 1.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 1 0.0000 0.994 1.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.994 1.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.994 1.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.977 0.000 1.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.977 0.000 1.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.977 0.000 1.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.994 1.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.994 1.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.994 1.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.0000 0.994 1.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.994 1.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.0000 0.994 1.000 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.994 1.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0000 0.994 1.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.994 1.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.0000 0.994 1.000 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.977 0.000 1.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.977 0.000 1.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.977 0.000 1.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.977 0.000 1.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.0000 0.994 1.000 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 1 0.0000 0.994 1.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.994 1.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.994 1.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.977 0.000 1.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 2 0.7950 0.702 0.240 0.760
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.994 1.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.994 1.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 1 0.0000 0.994 1.000 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.0000 0.994 1.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.994 1.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.977 0.000 1.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.977 0.000 1.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.994 1.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.994 1.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.994 1.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.0376 0.990 0.996 0.004
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.977 0.000 1.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.0000 0.994 1.000 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.0000 0.994 1.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.994 1.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.994 1.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.994 1.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0000 0.994 1.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.994 1.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.977 0.000 1.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 1 0.0000 0.994 1.000 0.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.994 1.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.977 0.000 1.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 1 0.0000 0.994 1.000 0.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 1 0.0000 0.994 1.000 0.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0000 0.994 1.000 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 1 0.0000 0.994 1.000 0.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.994 1.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.977 0.000 1.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0000 0.994 1.000 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.0000 0.994 1.000 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.994 1.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 1 0.0000 0.994 1.000 0.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.0000 0.994 1.000 0.000
#> 7955FC55-386D-497E-AFED-019BBBAD428E 1 0.0000 0.994 1.000 0.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.0000 0.994 1.000 0.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0000 0.994 1.000 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 1 0.0000 0.994 1.000 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0000 0.994 1.000 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.994 1.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.994 1.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.977 0.000 1.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 1 0.0000 0.994 1.000 0.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.0000 0.994 1.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.994 1.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.977 0.000 1.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.6973 0.778 0.188 0.812
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.977 0.000 1.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 2 0.7219 0.762 0.200 0.800
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.977 0.000 1.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.994 1.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.977 0.000 1.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.977 0.000 1.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.994 1.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.977 0.000 1.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.0000 0.994 1.000 0.000
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.977 0.000 1.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 1 0.0000 0.994 1.000 0.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 1 0.0000 0.994 1.000 0.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.0000 0.994 1.000 0.000
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.977 0.000 1.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.0000 0.994 1.000 0.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.0000 0.994 1.000 0.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.0376 0.990 0.996 0.004
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.994 1.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.0000 0.994 1.000 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.994 1.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 2 0.9248 0.511 0.340 0.660
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.0000 0.994 1.000 0.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.994 1.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.0000 0.994 1.000 0.000
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.0000 0.994 1.000 0.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.0000 0.994 1.000 0.000
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.0000 0.994 1.000 0.000
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.0000 0.994 1.000 0.000
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0000 0.994 1.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 1 0.0000 0.994 1.000 0.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.0000 0.994 1.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.977 0.000 1.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.977 0.000 1.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.994 1.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 1 0.0000 0.994 1.000 0.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.994 1.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.994 1.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.994 1.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 1 0.0000 0.994 1.000 0.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.977 0.000 1.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.977 0.000 1.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.0000 0.994 1.000 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.0000 0.994 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.977 0.000 1.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.994 1.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.994 1.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.977 0.000 1.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.994 1.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0000 0.977 0.000 1.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.6531 0.791 0.832 0.168
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.977 0.000 1.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.977 0.000 1.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.0000 0.994 1.000 0.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.977 0.000 1.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0000 0.994 1.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.0000 0.994 1.000 0.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 1 0.0000 0.994 1.000 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.994 1.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.0000 0.994 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.977 0.000 1.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.977 0.000 1.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.0000 0.994 1.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.994 1.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.0000 0.994 1.000 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.994 1.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 1 0.0000 0.994 1.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.977 0.000 1.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.977 0.000 1.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.994 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 1 0.0000 0.994 1.000 0.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 1 0.0000 0.994 1.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0000 0.994 1.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.0000 0.994 1.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.977 0.000 1.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.994 1.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 1 0.0000 0.994 1.000 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.977 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.994 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.977 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.994 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.977 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.0000 0.994 1.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.977 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.977 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.977 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.994 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.994 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.4562 0.888 0.904 0.096
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.0000 0.994 1.000 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.977 0.000 1.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.994 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.0000 0.994 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 1 0.0000 0.994 1.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0000 0.994 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.994 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.994 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.9661 0.328 0.608 0.392
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.994 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.994 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.977 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.0376 0.990 0.996 0.004
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.977 0.000 1.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0000 0.994 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.977 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.994 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.977 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.0000 0.994 1.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.977 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.994 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0000 0.977 0.000 1.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.994 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.994 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.994 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.994 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.994 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.994 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.977 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.977 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.994 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.994 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.977 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.977 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.977 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.994 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.9427 0.416 0.640 0.360
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.977 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.977 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.994 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0000 0.994 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.994 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.994 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.977 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.994 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.994 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.977 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.994 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9819 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.7685 1.000 0.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9819 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9819 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 3 0.2356 0.8344 0.072 0.000 0.928
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9819 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.2356 0.8344 0.072 0.000 0.928
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9819 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9819 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.7685 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.7685 1.000 0.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9819 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9819 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.6309 0.2803 0.504 0.000 0.496
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.9819 0.000 1.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 3 0.2356 0.8344 0.072 0.000 0.928
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.7685 1.000 0.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.6274 0.3792 0.544 0.000 0.456
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.7685 1.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0237 0.7669 0.996 0.000 0.004
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.7064 0.6062 0.076 0.704 0.220
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.6309 -0.2053 0.504 0.000 0.496
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 3 0.6305 0.1990 0.484 0.000 0.516
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.6309 -0.2860 0.500 0.000 0.500
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9819 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9819 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.2261 0.7209 0.932 0.000 0.068
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 3 0.2356 0.8344 0.072 0.000 0.928
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.5529 0.3518 0.704 0.000 0.296
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.7685 1.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.4062 0.7599 0.164 0.000 0.836
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.7685 1.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.7685 1.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.8353 0.4211 0.628 0.180 0.192
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9819 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.4452 0.6506 0.808 0.000 0.192
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.1411 0.9472 0.000 0.964 0.036
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9819 0.000 1.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.8527 0.2276 0.504 0.400 0.096
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.1289 0.7575 0.968 0.000 0.032
#> 177C7EF4-2D54-4555-947C-44EE7C688917 1 0.6274 0.3792 0.544 0.000 0.456
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9819 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.8261 0.4483 0.260 0.616 0.124
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.6045 0.4131 0.620 0.000 0.380
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#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.0592 0.7637 0.988 0.000 0.012
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.6260 -0.1207 0.448 0.000 0.552
#> 22863A57-F066-4DD1-A859-4336F43D144C 3 0.2537 0.8301 0.080 0.000 0.920
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0424 0.7649 0.992 0.000 0.008
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 3 0.6008 0.4520 0.372 0.000 0.628
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.6447 0.5945 0.744 0.060 0.196
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.7685 1.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 3 0.5291 0.6171 0.268 0.000 0.732
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9819 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.3267 0.7187 0.884 0.000 0.116
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.9819 0.000 1.000 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.6154 0.3871 0.592 0.000 0.408
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9819 0.000 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 3 0.2796 0.8213 0.092 0.000 0.908
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9819 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.6260 0.3914 0.552 0.000 0.448
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.9819 0.000 1.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 3 0.2356 0.8344 0.072 0.000 0.928
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.1163 0.9548 0.000 0.972 0.028
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.6204 -0.0119 0.576 0.000 0.424
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.7685 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.6235 -0.0201 0.564 0.000 0.436
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.5560 0.3508 0.700 0.000 0.300
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.7685 1.000 0.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.2711 0.7327 0.912 0.000 0.088
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9819 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.9819 0.000 1.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 3 0.2356 0.8344 0.072 0.000 0.928
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.7685 1.000 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9819 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9819 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9819 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 3 0.2356 0.8344 0.072 0.000 0.928
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.7984 0.6007 0.216 0.132 0.652
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9819 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9819 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.7685 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.6079 0.4147 0.388 0.000 0.612
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.7685 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.7685 1.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9819 0.000 1.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.4002 0.6792 0.840 0.000 0.160
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 3 0.6295 0.2607 0.472 0.000 0.528
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9819 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.7685 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.1743 0.8147 0.940 0.000 0.056 0.004
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0188 0.8722 0.004 0.000 0.000 0.996
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0376 0.8713 0.004 0.000 0.004 0.992
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.3569 0.7773 0.804 0.000 0.196 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.3400 0.7846 0.820 0.000 0.180 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.2266 0.9020 0.004 0.912 0.084 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0592 0.8748 0.016 0.000 0.000 0.984
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.3400 0.7861 0.820 0.000 0.180 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0707 0.9512 0.020 0.000 0.980 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.1637 0.8140 0.940 0.000 0.060 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.8034 1.000 0.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.7155 0.5753 0.056 0.640 0.088 0.216
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 4 0.4855 0.3674 0.400 0.000 0.000 0.600
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.5119 0.3222 0.440 0.000 0.004 0.556
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.2281 0.7574 0.904 0.000 0.000 0.096
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0336 0.8739 0.008 0.000 0.000 0.992
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.4406 0.4924 0.700 0.000 0.000 0.300
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0592 0.8083 0.984 0.000 0.016 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.3850 0.7904 0.116 0.000 0.044 0.840
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.3569 0.7773 0.804 0.000 0.196 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.1211 0.8129 0.960 0.000 0.040 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.7285 0.2293 0.552 0.056 0.052 0.340
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.4655 0.6160 0.760 0.000 0.032 0.208
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.3509 0.8441 0.004 0.860 0.024 0.112
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.2266 0.9020 0.004 0.912 0.084 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.8297 0.3238 0.544 0.244 0.096 0.116
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.3837 0.7597 0.776 0.000 0.224 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0336 0.9590 0.000 0.992 0.008 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.9259 0.2498 0.156 0.448 0.160 0.236
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.3208 0.8059 0.148 0.000 0.848 0.004
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0592 0.9565 0.000 0.984 0.016 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.1975 0.9194 0.016 0.000 0.936 0.048
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.3726 0.7679 0.788 0.000 0.212 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.0336 0.8739 0.008 0.000 0.000 0.992
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.3552 0.7911 0.128 0.000 0.024 0.848
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0336 0.8739 0.008 0.000 0.000 0.992
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.2281 0.8110 0.904 0.000 0.096 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.3764 0.7656 0.784 0.000 0.216 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0336 0.8739 0.008 0.000 0.000 0.992
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.8034 1.000 0.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.3569 0.6328 0.804 0.000 0.000 0.196
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.8034 1.000 0.000 0.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.2216 0.8114 0.908 0.000 0.092 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0188 0.8048 0.996 0.000 0.004 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.1474 0.8139 0.948 0.000 0.052 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.5476 0.7014 0.120 0.000 0.736 0.144
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.2281 0.7655 0.904 0.000 0.000 0.096
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.3837 0.7597 0.776 0.000 0.224 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.0592 0.8748 0.016 0.000 0.000 0.984
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.2149 0.8123 0.912 0.000 0.088 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.1557 0.8140 0.944 0.000 0.056 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.3688 0.7699 0.792 0.000 0.208 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0336 0.9590 0.000 0.992 0.008 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.6671 0.6706 0.060 0.696 0.088 0.156
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.6301 0.5793 0.260 0.000 0.104 0.636
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 4 0.3726 0.7102 0.212 0.000 0.000 0.788
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.3577 0.7019 0.832 0.000 0.012 0.156
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.6897 0.5517 0.056 0.240 0.060 0.644
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.0188 0.8722 0.004 0.000 0.000 0.996
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 4 0.0707 0.8738 0.020 0.000 0.000 0.980
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.1022 0.9457 0.032 0.000 0.968 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.0592 0.8748 0.016 0.000 0.000 0.984
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.8034 1.000 0.000 0.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 4 0.0336 0.8739 0.008 0.000 0.000 0.992
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 4 0.0592 0.8748 0.016 0.000 0.000 0.984
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0188 0.8048 0.996 0.000 0.004 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.5602 0.4343 0.568 0.000 0.408 0.024
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0592 0.9565 0.000 0.984 0.016 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.6248 0.5876 0.120 0.000 0.224 0.656
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.0188 0.8722 0.004 0.000 0.000 0.996
#> 317CD049-3151-40B7-8E88-B0B8813338D6 4 0.0592 0.8748 0.016 0.000 0.000 0.984
#> 93835C77-F8FA-4928-843C-8016A91881FA 4 0.0707 0.8738 0.020 0.000 0.000 0.980
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.8034 1.000 0.000 0.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0000 0.8034 1.000 0.000 0.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.8034 1.000 0.000 0.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 4 0.0592 0.8748 0.016 0.000 0.000 0.984
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0336 0.9590 0.000 0.992 0.008 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.1174 0.9474 0.020 0.000 0.968 0.012
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 4 0.0592 0.8748 0.016 0.000 0.000 0.984
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0817 0.8101 0.976 0.000 0.024 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0469 0.8013 0.988 0.000 0.000 0.012
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.0927 0.8673 0.008 0.000 0.016 0.976
#> 51B7241E-F0BE-482A-88AE-89004BB68989 4 0.0188 0.8722 0.004 0.000 0.000 0.996
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.2142 0.9110 0.016 0.000 0.928 0.056
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 4 0.6337 0.3349 0.380 0.000 0.068 0.552
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.3486 0.7821 0.812 0.000 0.188 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.3428 0.8046 0.144 0.000 0.844 0.012
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.3610 0.7750 0.800 0.000 0.200 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 4 0.0336 0.8739 0.008 0.000 0.000 0.992
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.3356 0.7878 0.824 0.000 0.176 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 4 0.0188 0.8722 0.004 0.000 0.000 0.996
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 4 0.0592 0.8748 0.016 0.000 0.000 0.984
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.7055 0.6268 0.072 0.664 0.084 0.180
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 2 0.8994 0.2148 0.092 0.452 0.264 0.192
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0336 0.9590 0.000 0.992 0.008 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 4 0.4585 0.5343 0.332 0.000 0.000 0.668
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.3528 0.7797 0.808 0.000 0.192 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.3764 0.7656 0.784 0.000 0.216 0.000
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.1256 0.9470 0.028 0.000 0.964 0.008
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.7439 0.4465 0.500 0.000 0.204 0.296
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 4 0.0188 0.8722 0.004 0.000 0.000 0.996
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 4 0.6476 0.4903 0.112 0.000 0.272 0.616
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.6726 0.1336 0.536 0.000 0.100 0.364
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.3732 0.7904 0.852 0.000 0.056 0.092
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 4 0.7001 0.4741 0.244 0.000 0.180 0.576
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0592 0.8087 0.984 0.000 0.016 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.6986 0.2679 0.572 0.040 0.052 0.336
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 4 0.3931 0.7791 0.128 0.000 0.040 0.832
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.3610 0.7031 0.800 0.000 0.000 0.200
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.4228 0.7514 0.760 0.000 0.232 0.008
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 4 0.0524 0.8734 0.008 0.000 0.004 0.988
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.6167 0.6918 0.668 0.000 0.208 0.124
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.6507 0.0581 0.520 0.000 0.076 0.404
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.5487 0.1267 0.580 0.000 0.020 0.400
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 4 0.0592 0.8748 0.016 0.000 0.000 0.984
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.0188 0.8722 0.004 0.000 0.000 0.996
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.1557 0.8140 0.944 0.000 0.056 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.1557 0.8140 0.944 0.000 0.056 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.2840 0.8078 0.900 0.000 0.056 0.044
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.3610 0.7750 0.800 0.000 0.200 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.1302 0.9363 0.044 0.000 0.956 0.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.1792 0.9134 0.068 0.000 0.932 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.0188 0.8722 0.004 0.000 0.000 0.996
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.0336 0.8739 0.008 0.000 0.000 0.992
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 4 0.4776 0.4427 0.376 0.000 0.000 0.624
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.3311 0.7894 0.828 0.000 0.172 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.1109 0.9480 0.000 0.968 0.028 0.004
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.3648 0.7267 0.856 0.004 0.108 0.032
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.2266 0.9020 0.004 0.912 0.084 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.3907 0.7528 0.768 0.000 0.232 0.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.0592 0.8748 0.016 0.000 0.000 0.984
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 4 0.5971 0.3969 0.368 0.000 0.048 0.584
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.0592 0.8748 0.016 0.000 0.000 0.984
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.0524 0.8734 0.008 0.000 0.004 0.988
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.3688 0.7699 0.792 0.000 0.208 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.0592 0.8748 0.016 0.000 0.000 0.984
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.5842 0.6539 0.128 0.000 0.704 0.168
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 4 0.3873 0.6915 0.228 0.000 0.000 0.772
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0188 0.8722 0.004 0.000 0.000 0.996
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.3123 0.7912 0.156 0.000 0.844 0.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.3688 0.7699 0.792 0.000 0.208 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.3801 0.7628 0.780 0.000 0.220 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.8034 1.000 0.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0592 0.9526 0.016 0.000 0.984 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.0469 0.8741 0.012 0.000 0.000 0.988
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.8034 1.000 0.000 0.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.2214 0.9224 0.028 0.000 0.928 0.044
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0336 0.9590 0.000 0.992 0.008 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.0592 0.8748 0.016 0.000 0.000 0.984
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.3649 0.7724 0.796 0.000 0.204 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.4688 0.7616 0.136 0.008 0.056 0.800
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.3764 0.7656 0.784 0.000 0.216 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.2266 0.9020 0.004 0.912 0.084 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0188 0.8722 0.004 0.000 0.000 0.996
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.3764 0.7656 0.784 0.000 0.216 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.1610 0.9351 0.016 0.000 0.952 0.032
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.0657 0.8689 0.004 0.000 0.012 0.984
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.8034 1.000 0.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.2647 0.8118 0.120 0.000 0.000 0.880
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.6556 0.2971 0.592 0.020 0.052 0.336
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.3444 0.7842 0.816 0.000 0.184 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 4 0.1118 0.8665 0.036 0.000 0.000 0.964
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.5517 0.4289 0.568 0.000 0.412 0.020
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.3811 0.8585 0.012 0.860 0.084 0.044
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.1743 0.9252 0.056 0.000 0.940 0.004
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 4 0.1716 0.8514 0.064 0.000 0.000 0.936
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.1284 0.9465 0.024 0.000 0.964 0.012
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0895 0.9527 0.000 0.976 0.020 0.004
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0188 0.8722 0.004 0.000 0.000 0.996
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.7002 0.6465 0.084 0.676 0.084 0.156
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.4500 0.5340 0.684 0.000 0.000 0.316
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.1211 0.8129 0.960 0.000 0.040 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.5294 0.1278 0.484 0.000 0.008 0.508
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.4382 0.4563 0.704 0.000 0.000 0.296
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.3688 0.7699 0.792 0.000 0.208 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.3051 0.7623 0.884 0.000 0.028 0.088
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0469 0.9581 0.000 0.988 0.012 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0895 0.9527 0.000 0.976 0.020 0.004
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0336 0.8739 0.008 0.000 0.000 0.992
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.2081 0.8128 0.916 0.000 0.084 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0188 0.8722 0.004 0.000 0.000 0.996
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.5702 0.7389 0.132 0.048 0.060 0.760
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.1389 0.8138 0.952 0.000 0.048 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.5906 0.2940 0.436 0.000 0.036 0.528
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.1389 0.8138 0.952 0.000 0.048 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.3311 0.7899 0.828 0.000 0.172 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.2266 0.9020 0.004 0.912 0.084 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.5159 0.2529 0.624 0.000 0.012 0.364
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4643 0.5102 0.344 0.000 0.000 0.656
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9602 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1389 0.8138 0.952 0.000 0.048 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0703 0.9283 0.024 0.976 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.0912 0.8440 0.012 0.000 0.016 0.000 0.972
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9363 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.1965 0.8749 0.096 0.904 0.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0510 0.8718 0.016 0.000 0.000 0.984 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.1484 0.9227 0.048 0.944 0.008 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.1965 0.8407 0.024 0.000 0.052 0.924 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9363 0.000 1.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.3003 0.7547 0.188 0.812 0.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.2020 0.8307 0.000 0.000 0.100 0.000 0.900
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.3011 0.8079 0.016 0.000 0.140 0.000 0.844
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0609 0.9356 0.020 0.980 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0510 0.9363 0.016 0.984 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0290 0.9561 0.000 0.000 0.992 0.008 0.000
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#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.3857 0.5245 0.312 0.688 0.000 0.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.0290 0.9561 0.000 0.000 0.992 0.008 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.0703 0.8692 0.024 0.000 0.000 0.976 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.1792 0.8866 0.084 0.916 0.000 0.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.0404 0.8725 0.012 0.000 0.000 0.988 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 4 0.3992 0.5766 0.012 0.000 0.000 0.720 0.268
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.1484 0.9227 0.048 0.944 0.008 0.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 5 0.0865 0.8454 0.004 0.000 0.024 0.000 0.972
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 1 0.3661 0.6283 0.724 0.276 0.000 0.000 0.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 5 0.4577 0.5730 0.244 0.000 0.028 0.012 0.716
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 1 0.3534 0.6347 0.744 0.256 0.000 0.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9363 0.000 1.000 0.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.4243 0.6930 0.024 0.000 0.264 0.000 0.712
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.2127 0.8629 0.108 0.892 0.000 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.0609 0.8697 0.020 0.000 0.000 0.980 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 4 0.6890 0.3173 0.032 0.000 0.152 0.496 0.320
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0290 0.9561 0.000 0.000 0.992 0.008 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.0404 0.8722 0.012 0.000 0.000 0.988 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.1082 0.8649 0.028 0.000 0.008 0.964 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.1484 0.9227 0.048 0.944 0.008 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.1965 0.8749 0.096 0.904 0.000 0.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.2909 0.8087 0.012 0.000 0.140 0.000 0.848
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.0290 0.8723 0.008 0.000 0.000 0.992 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.2408 0.8538 0.000 0.000 0.892 0.092 0.016
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 4 0.2248 0.8024 0.012 0.000 0.000 0.900 0.088
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0290 0.9561 0.000 0.000 0.992 0.008 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0703 0.9283 0.024 0.976 0.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.1484 0.9250 0.048 0.944 0.008 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0510 0.8718 0.016 0.000 0.000 0.984 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.2358 0.8283 0.000 0.000 0.888 0.008 0.104
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0290 0.9561 0.000 0.000 0.992 0.008 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.3264 0.7925 0.016 0.000 0.164 0.000 0.820
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.4000 0.7328 0.024 0.000 0.228 0.000 0.748
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0703 0.9348 0.024 0.976 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 5 0.1282 0.8355 0.044 0.000 0.000 0.004 0.952
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0290 0.9561 0.000 0.000 0.992 0.008 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9363 0.000 1.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.0451 0.8724 0.008 0.000 0.000 0.988 0.004
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.1965 0.8749 0.096 0.904 0.000 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 5 0.0992 0.8403 0.024 0.000 0.000 0.008 0.968
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0794 0.9346 0.028 0.972 0.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.1043 0.9239 0.000 0.000 0.960 0.040 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0703 0.9283 0.024 0.976 0.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0703 0.9348 0.024 0.976 0.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9363 0.000 1.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.0290 0.8723 0.008 0.000 0.000 0.992 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.2818 0.8132 0.012 0.000 0.132 0.000 0.856
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.5440 0.2985 0.372 0.008 0.028 0.580 0.012
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.4243 0.6904 0.024 0.000 0.264 0.000 0.712
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 1 0.3210 0.6775 0.788 0.212 0.000 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0290 0.8728 0.008 0.000 0.000 0.992 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.4167 0.7076 0.024 0.000 0.252 0.000 0.724
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0290 0.9561 0.000 0.000 0.992 0.008 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.0865 0.8689 0.024 0.000 0.004 0.972 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 5 0.1205 0.8367 0.040 0.000 0.000 0.004 0.956
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.1399 0.8536 0.020 0.000 0.000 0.952 0.028
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.5817 0.2418 0.496 0.000 0.004 0.080 0.420
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.2006 0.8375 0.012 0.000 0.072 0.000 0.916
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 4 0.0912 0.8629 0.012 0.000 0.000 0.972 0.016
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0162 0.9355 0.004 0.996 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.5432 0.3791 0.056 0.000 0.620 0.012 0.312
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 1 0.3783 0.6876 0.768 0.216 0.004 0.012 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.0290 0.9561 0.000 0.000 0.992 0.008 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.1484 0.9227 0.048 0.944 0.008 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 4 0.0290 0.8723 0.008 0.000 0.000 0.992 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0794 0.9263 0.028 0.972 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0290 0.9561 0.000 0.000 0.992 0.008 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 1 0.4262 0.3084 0.560 0.440 0.000 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0510 0.8718 0.016 0.000 0.000 0.984 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.2864 0.7158 0.872 0.104 0.000 0.012 0.012
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 5 0.4211 0.4621 0.004 0.000 0.000 0.360 0.636
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 5 0.1205 0.8367 0.040 0.000 0.000 0.004 0.956
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.4888 0.0583 0.016 0.000 0.004 0.508 0.472
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 5 0.3051 0.7724 0.028 0.000 0.000 0.120 0.852
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.3513 0.7787 0.020 0.000 0.180 0.000 0.800
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.2866 0.8361 0.020 0.000 0.076 0.020 0.884
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0609 0.9303 0.020 0.980 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 1 0.4304 0.1688 0.516 0.484 0.000 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0404 0.8722 0.012 0.000 0.000 0.988 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0566 0.8426 0.012 0.000 0.004 0.000 0.984
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.1484 0.9227 0.048 0.944 0.008 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9363 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0609 0.9356 0.020 0.980 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0510 0.8718 0.016 0.000 0.000 0.984 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.5686 0.1563 0.528 0.012 0.044 0.412 0.004
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9363 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9363 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 5 0.0771 0.8405 0.020 0.000 0.000 0.004 0.976
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.7211 0.1136 0.124 0.000 0.064 0.356 0.456
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.1043 0.8375 0.040 0.000 0.000 0.000 0.960
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 5 0.1638 0.8407 0.004 0.000 0.064 0.000 0.932
#> AAD9685A-564B-42E9-91E3-431951154BA7 1 0.3837 0.5577 0.692 0.308 0.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.4897 0.6178 0.156 0.000 0.004 0.112 0.728
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.3817 0.5981 0.004 0.000 0.004 0.740 0.252
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0609 0.9356 0.020 0.980 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 5 0.0609 0.8409 0.020 0.000 0.000 0.000 0.980
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.5563 0.4344 NA 0.548 0.000 0.000 0.000 0.260
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.0909 0.7795 NA 0.000 0.000 0.012 0.968 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.2129 0.7892 NA 0.904 0.000 0.000 0.000 0.056
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.5907 0.2031 NA 0.436 0.000 0.000 0.000 0.352
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0146 0.8553 NA 0.000 0.000 0.996 0.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.1036 0.7890 NA 0.964 0.004 0.000 0.000 0.024
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.1528 0.8412 NA 0.000 0.016 0.936 0.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.1745 0.7949 NA 0.924 0.000 0.000 0.000 0.056
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.5826 0.1647 NA 0.436 0.000 0.000 0.000 0.376
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.3037 0.7361 NA 0.000 0.016 0.000 0.808 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.3261 0.7245 NA 0.000 0.016 0.000 0.780 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0405 0.7989 NA 0.988 0.000 0.000 0.000 0.004
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0865 0.7993 NA 0.964 0.000 0.000 0.000 0.036
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0291 0.9683 NA 0.000 0.992 0.004 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 6 0.1668 0.7136 NA 0.060 0.004 0.000 0.000 0.928
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.1663 0.8469 NA 0.000 0.000 0.912 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.1387 0.7709 NA 0.000 0.000 0.000 0.932 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0436 0.9664 NA 0.000 0.988 0.004 0.004 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.0790 0.7779 NA 0.000 0.000 0.000 0.968 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.2805 0.7498 NA 0.000 0.000 0.004 0.812 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.6274 0.5756 NA 0.028 0.008 0.184 0.064 0.632
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 4 0.5025 0.6121 NA 0.000 0.000 0.632 0.136 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.6846 0.0454 NA 0.000 0.068 0.392 0.412 0.016
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0146 0.9706 NA 0.000 0.996 0.004 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.5515 0.4438 NA 0.556 0.000 0.000 0.000 0.260
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.1036 0.7890 NA 0.964 0.004 0.000 0.000 0.024
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.3141 0.7460 NA 0.000 0.000 0.012 0.788 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0865 0.8561 NA 0.000 0.000 0.964 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 5 0.3885 0.7121 NA 0.000 0.000 0.044 0.736 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 5 0.2730 0.7461 NA 0.000 0.000 0.000 0.808 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.3347 0.7740 NA 0.000 0.104 0.824 0.004 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.3376 0.7459 NA 0.000 0.016 0.000 0.764 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 5 0.2730 0.7461 NA 0.000 0.000 0.000 0.808 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 6 0.6245 0.3608 NA 0.000 0.000 0.016 0.200 0.428
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.1036 0.7890 NA 0.964 0.004 0.000 0.000 0.024
#> E7AA12EE-6E14-4B33-A52C-B13589436023 5 0.4961 0.6846 NA 0.000 0.000 0.036 0.672 0.056
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 6 0.4107 0.7003 NA 0.024 0.000 0.052 0.000 0.768
#> 655BD3AF-5094-4B19-93A8-401C70369B17 6 0.3405 0.7029 NA 0.112 0.000 0.000 0.000 0.812
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 6 0.6620 0.3680 NA 0.008 0.004 0.016 0.256 0.452
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.3553 0.7541 NA 0.000 0.032 0.004 0.808 0.012
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0146 0.9706 NA 0.000 0.996 0.004 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.1562 0.7899 NA 0.940 0.004 0.000 0.000 0.032
#> 619F37D2-6771-4727-9079-56BED07F1CF6 6 0.5204 0.6274 NA 0.016 0.004 0.032 0.092 0.716
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.1707 0.9146 NA 0.000 0.928 0.004 0.056 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 6 0.5386 0.1489 NA 0.368 0.000 0.000 0.000 0.512
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.1700 0.7965 NA 0.928 0.000 0.000 0.000 0.048
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0146 0.9706 NA 0.000 0.996 0.004 0.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.4379 0.6795 NA 0.000 0.052 0.000 0.700 0.008
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.1204 0.8521 NA 0.000 0.000 0.944 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.1036 0.7890 NA 0.964 0.004 0.000 0.000 0.024
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.3812 0.7889 NA 0.000 0.048 0.824 0.040 0.012
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.1007 0.8560 NA 0.000 0.000 0.956 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.0458 0.7772 NA 0.000 0.000 0.000 0.984 0.000
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#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0291 0.9684 NA 0.000 0.992 0.004 0.004 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.2129 0.7892 NA 0.904 0.000 0.000 0.000 0.056
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.1719 0.8546 NA 0.000 0.000 0.924 0.016 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.5842 0.2100 NA 0.448 0.000 0.000 0.000 0.356
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 5 0.2527 0.7578 NA 0.000 0.000 0.000 0.832 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0260 0.7972 NA 0.992 0.000 0.000 0.000 0.008
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.1461 0.9204 NA 0.000 0.940 0.044 0.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.4530 0.6379 NA 0.704 0.000 0.000 0.000 0.160
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0458 0.7954 NA 0.984 0.000 0.000 0.000 0.016
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.1908 0.7925 NA 0.916 0.000 0.000 0.000 0.056
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.1387 0.8496 NA 0.000 0.000 0.932 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.3071 0.7332 NA 0.000 0.016 0.000 0.804 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.6004 0.4578 NA 0.004 0.000 0.572 0.028 0.236
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.4521 0.6729 NA 0.000 0.064 0.000 0.692 0.008
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 6 0.2121 0.7092 NA 0.096 0.000 0.000 0.000 0.892
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0260 0.8551 NA 0.000 0.000 0.992 0.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.4467 0.6757 NA 0.000 0.060 0.000 0.696 0.008
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0146 0.9706 NA 0.000 0.996 0.004 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.1075 0.8456 NA 0.000 0.000 0.952 0.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 5 0.2871 0.7459 NA 0.000 0.000 0.004 0.804 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.3735 0.7788 NA 0.000 0.000 0.780 0.036 0.012
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 5 0.6680 0.0995 NA 0.000 0.000 0.032 0.380 0.280
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.2257 0.7603 NA 0.000 0.008 0.000 0.876 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 4 0.2260 0.8285 NA 0.000 0.000 0.860 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.1984 0.7912 NA 0.912 0.000 0.000 0.000 0.056
#> E344638F-9060-460F-8F7A-60D19442F294 5 0.7397 0.3101 NA 0.000 0.268 0.012 0.400 0.088
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.1769 0.7150 NA 0.060 0.004 0.000 0.000 0.924
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.0291 0.9677 NA 0.000 0.992 0.004 0.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.1036 0.7890 NA 0.964 0.004 0.000 0.000 0.024
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 4 0.2250 0.8401 NA 0.000 0.000 0.896 0.040 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.5758 0.3350 NA 0.496 0.000 0.000 0.000 0.304
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0748 0.9597 NA 0.000 0.976 0.004 0.004 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 6 0.4286 0.6349 NA 0.108 0.000 0.000 0.000 0.728
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0547 0.8535 NA 0.000 0.000 0.980 0.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 6 0.4026 0.7120 NA 0.036 0.000 0.024 0.004 0.776
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 5 0.5742 0.1371 NA 0.000 0.000 0.400 0.432 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 5 0.2527 0.7541 NA 0.000 0.000 0.000 0.832 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.5498 0.5069 NA 0.000 0.000 0.592 0.272 0.016
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 5 0.4500 0.6725 NA 0.000 0.000 0.088 0.688 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.4080 0.6950 NA 0.000 0.036 0.000 0.724 0.008
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.2847 0.7688 NA 0.000 0.000 0.016 0.852 0.012
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.5365 0.4799 NA 0.580 0.000 0.000 0.000 0.256
#> 019B857C-D4F7-4B67-B699-56E52A60805B 6 0.4526 0.6002 NA 0.132 0.000 0.000 0.000 0.704
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0000 0.8557 NA 0.000 0.000 1.000 0.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0713 0.7778 NA 0.000 0.000 0.000 0.972 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.1036 0.7890 NA 0.964 0.004 0.000 0.000 0.024
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.1984 0.7916 NA 0.912 0.000 0.000 0.000 0.056
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0508 0.7995 NA 0.984 0.000 0.000 0.000 0.012
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0547 0.8535 NA 0.000 0.000 0.980 0.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.6390 0.3541 NA 0.004 0.000 0.516 0.036 0.260
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.2058 0.7905 NA 0.908 0.000 0.000 0.000 0.056
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.2058 0.7905 NA 0.908 0.000 0.000 0.000 0.056
#> F6193AF0-7A19-46CB-A818-1B01E7460791 5 0.2597 0.7541 NA 0.000 0.000 0.000 0.824 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.7279 0.0918 NA 0.000 0.048 0.360 0.396 0.044
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.2562 0.7551 NA 0.000 0.000 0.000 0.828 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 5 0.1531 0.7750 NA 0.000 0.004 0.000 0.928 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 6 0.4156 0.6422 NA 0.188 0.000 0.000 0.000 0.732
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.5419 0.6475 NA 0.000 0.004 0.088 0.692 0.100
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4677 0.6903 NA 0.000 0.000 0.712 0.160 0.012
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0260 0.7984 NA 0.992 0.000 0.000 0.000 0.008
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 5 0.2631 0.7505 NA 0.000 0.000 0.000 0.820 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "NMF"]
# you can also extract it by
# res = res_list["SD:NMF"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17377 rows and 265 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 5.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.976 0.958 0.982 0.4694 0.528 0.528
#> 3 3 0.972 0.946 0.978 0.3822 0.769 0.584
#> 4 4 0.870 0.869 0.943 0.1495 0.860 0.624
#> 5 5 0.908 0.860 0.934 0.0550 0.885 0.606
#> 6 6 0.850 0.762 0.885 0.0275 0.961 0.830
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
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.969 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.988 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.969 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.969 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.988 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.969 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.988 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.969 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.969 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.988 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.988 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.969 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.969 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.8386 0.620 0.732 0.268
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.969 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.988 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.988 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.6438 0.794 0.836 0.164
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.988 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.988 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.0000 0.969 0.000 1.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.988 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.988 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.1414 0.969 0.980 0.020
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.969 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.969 0.000 1.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.988 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.988 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.988 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.988 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.0000 0.988 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.988 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.988 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.988 1.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.969 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.988 1.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 0.969 0.000 1.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.969 0.000 1.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.7602 0.715 0.780 0.220
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.988 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 1 0.9933 0.131 0.548 0.452
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.969 0.000 1.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.4431 0.896 0.092 0.908
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.0000 0.988 1.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.969 0.000 1.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.969 0.000 1.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.7883 0.715 0.236 0.764
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.0000 0.988 1.000 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.988 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.969 0.000 1.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.988 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.988 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.988 1.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.0000 0.988 1.000 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.988 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.988 1.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 2 0.5946 0.841 0.144 0.856
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.988 1.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.988 1.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.969 0.000 1.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.969 0.000 1.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.969 0.000 1.000
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#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.988 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.988 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.969 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.988 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.988 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.969 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.988 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.996 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.977 1.000 0.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.996 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.996 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.977 1.000 0.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.996 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.4178 0.786 0.172 0.000 0.828
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.996 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.996 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.977 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0424 0.970 0.992 0.000 0.008
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.996 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.996 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.949 0.000 0.000 1.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.996 0.000 1.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.977 1.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.977 1.000 0.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.949 0.000 0.000 1.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.977 1.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.977 1.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.0000 0.996 0.000 1.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.977 1.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.977 1.000 0.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.949 0.000 0.000 1.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.996 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.996 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.977 1.000 0.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.977 1.000 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.977 1.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.977 1.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.0000 0.949 0.000 0.000 1.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.977 1.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.977 1.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.977 1.000 0.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.996 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.977 1.000 0.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 0.996 0.000 1.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.996 0.000 1.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.5058 0.671 0.756 0.244 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.4887 0.701 0.772 0.000 0.228
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.949 0.000 0.000 1.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.996 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.3456 0.896 0.060 0.904 0.036
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0000 0.949 0.000 0.000 1.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.996 0.000 1.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.996 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.949 0.000 0.000 1.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.0424 0.944 0.008 0.000 0.992
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.977 1.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.996 0.000 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.4887 0.703 0.772 0.000 0.228
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.977 1.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.977 1.000 0.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.4654 0.744 0.208 0.000 0.792
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.977 1.000 0.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.977 1.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.949 0.000 0.000 1.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.977 1.000 0.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.977 1.000 0.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.996 0.000 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.996 0.000 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.996 0.000 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.977 1.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.977 1.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.977 1.000 0.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.0000 0.949 0.000 0.000 1.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.977 1.000 0.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.0424 0.944 0.008 0.000 0.992
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.977 1.000 0.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0000 0.977 1.000 0.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.977 1.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 3 0.4399 0.771 0.188 0.000 0.812
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.996 0.000 1.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.996 0.000 1.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.996 0.000 1.000 0.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.996 0.000 1.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 3 0.3412 0.847 0.124 0.000 0.876
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.949 0.000 0.000 1.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.977 1.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.977 1.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.996 0.000 1.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 3 0.0000 0.949 0.000 0.000 1.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.977 1.000 0.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.977 1.000 0.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0000 0.949 0.000 0.000 1.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.0000 0.977 1.000 0.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.977 1.000 0.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.996 0.000 1.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.996 0.000 1.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.977 1.000 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.977 1.000 0.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.977 1.000 0.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.0000 0.949 0.000 0.000 1.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.996 0.000 1.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 3 0.0000 0.949 0.000 0.000 1.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 3 0.0000 0.949 0.000 0.000 1.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.977 1.000 0.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.977 1.000 0.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.977 1.000 0.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0000 0.977 1.000 0.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.977 1.000 0.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.996 0.000 1.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0000 0.949 0.000 0.000 1.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.977 1.000 0.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.996 0.000 1.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0000 0.949 0.000 0.000 1.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0000 0.949 0.000 0.000 1.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0000 0.977 1.000 0.000 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0000 0.949 0.000 0.000 1.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.977 1.000 0.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.996 0.000 1.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0000 0.977 1.000 0.000 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 3 0.0000 0.949 0.000 0.000 1.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.977 1.000 0.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0000 0.949 0.000 0.000 1.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.6095 0.322 0.608 0.000 0.392
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0000 0.949 0.000 0.000 1.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.0000 0.949 0.000 0.000 1.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0000 0.977 1.000 0.000 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.0000 0.949 0.000 0.000 1.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0000 0.977 1.000 0.000 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.977 1.000 0.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.977 1.000 0.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.996 0.000 1.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0000 0.949 0.000 0.000 1.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.3340 0.852 0.880 0.000 0.120
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.977 1.000 0.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.996 0.000 1.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.0000 0.996 0.000 1.000 0.000
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.996 0.000 1.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.1753 0.910 0.000 0.048 0.952
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.996 0.000 1.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.977 1.000 0.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.996 0.000 1.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.996 0.000 1.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.977 1.000 0.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.996 0.000 1.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 3 0.1289 0.928 0.032 0.000 0.968
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.996 0.000 1.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.0000 0.949 0.000 0.000 1.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0000 0.949 0.000 0.000 1.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.3879 0.810 0.848 0.000 0.152
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.996 0.000 1.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 3 0.2537 0.889 0.080 0.000 0.920
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 3 0.0000 0.949 0.000 0.000 1.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.0000 0.977 1.000 0.000 0.000
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.977 1.000 0.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.0424 0.970 0.992 0.000 0.008
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.977 1.000 0.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0000 0.977 1.000 0.000 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 3 0.0000 0.949 0.000 0.000 1.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.977 1.000 0.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 3 0.1964 0.910 0.056 0.000 0.944
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.2878 0.881 0.904 0.000 0.096
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 3 0.1163 0.931 0.028 0.000 0.972
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.3941 0.804 0.844 0.000 0.156
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.0000 0.977 1.000 0.000 0.000
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0000 0.977 1.000 0.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0000 0.949 0.000 0.000 1.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 3 0.0000 0.949 0.000 0.000 1.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.996 0.000 1.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.996 0.000 1.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.977 1.000 0.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0000 0.949 0.000 0.000 1.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.977 1.000 0.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.977 1.000 0.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.1163 0.952 0.972 0.000 0.028
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0000 0.949 0.000 0.000 1.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.996 0.000 1.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.996 0.000 1.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.0000 0.949 0.000 0.000 1.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 3 0.0000 0.949 0.000 0.000 1.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.996 0.000 1.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.977 1.000 0.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.977 1.000 0.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.996 0.000 1.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.977 1.000 0.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0000 0.996 0.000 1.000 0.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.977 1.000 0.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.996 0.000 1.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.996 0.000 1.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 3 0.0000 0.949 0.000 0.000 1.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.996 0.000 1.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0237 0.973 0.996 0.000 0.004
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 3 0.6305 0.109 0.484 0.000 0.516
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0000 0.949 0.000 0.000 1.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.977 1.000 0.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 3 0.5882 0.482 0.348 0.000 0.652
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.996 0.000 1.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.996 0.000 1.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.5621 0.536 0.692 0.000 0.308
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.977 1.000 0.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.0000 0.949 0.000 0.000 1.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.977 1.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 0.949 0.000 0.000 1.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.996 0.000 1.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.996 0.000 1.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0592 0.967 0.988 0.000 0.012
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0000 0.949 0.000 0.000 1.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.949 0.000 0.000 1.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 3 0.1860 0.913 0.052 0.000 0.948
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.6180 0.330 0.416 0.000 0.584
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.996 0.000 1.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.977 1.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0000 0.949 0.000 0.000 1.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.996 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.977 1.000 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.996 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.977 1.000 0.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.996 0.000 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 0.949 0.000 0.000 1.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.996 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.996 0.000 1.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.996 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.977 1.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.977 1.000 0.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0892 0.959 0.980 0.000 0.020
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.0000 0.949 0.000 0.000 1.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.996 0.000 1.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.977 1.000 0.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.0000 0.949 0.000 0.000 1.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.949 0.000 0.000 1.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 3 0.0000 0.949 0.000 0.000 1.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.977 1.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.977 1.000 0.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.977 1.000 0.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.977 1.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.977 1.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.996 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0000 0.949 0.000 0.000 1.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.996 0.000 1.000 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.0000 0.949 0.000 0.000 1.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.996 0.000 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.977 1.000 0.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.996 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.949 0.000 0.000 1.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.996 0.000 1.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0747 0.963 0.984 0.000 0.016
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.4121 0.786 0.168 0.832 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.977 1.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.977 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.977 1.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.977 1.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 3 0.6095 0.394 0.392 0.000 0.608
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 3 0.6154 0.344 0.408 0.000 0.592
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.996 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.996 0.000 1.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.977 1.000 0.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.977 1.000 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.996 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.996 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.996 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.977 1.000 0.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.6235 0.182 0.564 0.000 0.436
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.996 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.996 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.977 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.2537 0.899 0.920 0.000 0.080
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.977 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.977 1.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.996 0.000 1.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.977 1.000 0.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.977 1.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.996 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.977 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0336 0.9162 0.000 0.000 0.008 0.992
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.2408 0.8101 0.896 0.000 0.104 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0188 0.9872 0.000 0.996 0.004 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.3813 0.7981 0.024 0.828 0.148 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.2760 0.8171 0.872 0.000 0.000 0.128
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.4134 0.6175 0.260 0.000 0.000 0.740
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0188 0.9011 0.996 0.000 0.000 0.004
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.1302 0.8817 0.956 0.000 0.000 0.044
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0336 0.9004 0.992 0.000 0.000 0.008
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.1118 0.9030 0.000 0.000 0.036 0.964
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0336 0.9004 0.992 0.000 0.000 0.008
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0592 0.8975 0.984 0.000 0.000 0.016
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.2589 0.8240 0.884 0.000 0.000 0.116
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.2676 0.8222 0.896 0.092 0.012 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 3 0.6549 0.1319 0.436 0.000 0.488 0.076
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.5597 -0.0487 0.516 0.020 0.464 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0524 0.9804 0.000 0.988 0.004 0.008
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.2973 0.8260 0.144 0.000 0.856 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.0469 0.9137 0.012 0.000 0.000 0.988
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0336 0.9162 0.000 0.000 0.008 0.992
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0469 0.9137 0.012 0.000 0.000 0.988
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.4522 0.5791 0.320 0.000 0.680 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0592 0.8972 0.984 0.000 0.000 0.016
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.0188 0.9229 0.000 0.000 0.996 0.004
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.3172 0.7787 0.840 0.000 0.000 0.160
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.2647 0.8488 0.120 0.000 0.880 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.1867 0.8603 0.928 0.000 0.000 0.072
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 3 0.4624 0.5417 0.340 0.000 0.660 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.9909 0.000 1.000 0.000 0.000
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#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.4877 0.2825 0.408 0.000 0.000 0.592
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0707 0.8953 0.980 0.000 0.000 0.020
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 3 0.4996 0.1677 0.484 0.000 0.516 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 3 0.5538 0.4752 0.036 0.000 0.644 0.320
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0707 0.9110 0.000 0.000 0.020 0.980
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0188 0.9011 0.996 0.000 0.000 0.004
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.5387 0.2802 0.400 0.000 0.016 0.584
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0188 0.9011 0.996 0.000 0.000 0.004
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.9011 1.000 0.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.4382 0.5631 0.704 0.000 0.000 0.296
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4431 0.5416 0.304 0.000 0.000 0.696
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9909 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0188 0.9011 0.996 0.000 0.000 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.0162 0.9060 0.004 0.000 0.000 0.000 0.996
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0703 0.9709 0.024 0.976 0.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0162 0.9203 0.004 0.000 0.000 0.996 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0162 0.9203 0.004 0.000 0.000 0.996 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0703 0.9709 0.024 0.976 0.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0290 0.9049 0.008 0.000 0.000 0.000 0.992
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0000 0.9060 0.000 0.000 0.000 0.000 1.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.1608 0.8843 0.072 0.000 0.000 0.928 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.0000 0.9060 0.000 0.000 0.000 0.000 1.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 5 0.3475 0.7379 0.004 0.000 0.180 0.012 0.804
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.0880 0.8907 0.032 0.000 0.000 0.000 0.968
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.0290 0.9049 0.008 0.000 0.000 0.000 0.992
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 3 0.4508 0.4630 0.020 0.332 0.648 0.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.1117 0.8774 0.964 0.000 0.000 0.020 0.016
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.4658 0.3262 0.016 0.000 0.000 0.408 0.576
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.0162 0.9060 0.004 0.000 0.000 0.000 0.996
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0510 0.9177 0.016 0.000 0.000 0.984 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.1197 0.8776 0.952 0.000 0.000 0.000 0.048
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.1197 0.8773 0.952 0.000 0.000 0.000 0.048
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0290 0.9176 0.000 0.000 0.000 0.992 0.008
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.0162 0.9060 0.004 0.000 0.000 0.000 0.996
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.1043 0.8791 0.960 0.000 0.000 0.000 0.040
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.1043 0.8791 0.960 0.000 0.000 0.000 0.040
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.1399 0.8790 0.952 0.000 0.000 0.020 0.028
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.3160 0.7844 0.188 0.808 0.004 0.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.6838 0.0348 0.424 0.136 0.412 0.000 0.028
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.4150 0.7113 0.004 0.000 0.044 0.180 0.772
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.1300 0.9081 0.016 0.028 0.956 0.000 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 5 0.4714 0.6253 0.008 0.000 0.236 0.044 0.712
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.3695 0.7842 0.036 0.800 0.000 0.164 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.0703 0.8972 0.000 0.000 0.024 0.000 0.976
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.4182 0.3315 0.400 0.000 0.000 0.600 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0162 0.9189 0.000 0.000 0.000 0.996 0.004
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.3837 0.5552 0.308 0.000 0.000 0.692 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.0162 0.9060 0.004 0.000 0.000 0.000 0.996
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.0162 0.9053 0.000 0.000 0.004 0.000 0.996
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0162 0.9203 0.004 0.000 0.000 0.996 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.0290 0.9049 0.008 0.000 0.000 0.000 0.992
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.1270 0.8758 0.948 0.000 0.000 0.000 0.052
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 5 0.0510 0.9011 0.016 0.000 0.000 0.000 0.984
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 5 0.2852 0.7352 0.172 0.000 0.000 0.000 0.828
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.0703 0.8961 0.024 0.000 0.000 0.000 0.976
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.0290 0.9049 0.008 0.000 0.000 0.000 0.992
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.3796 0.5660 0.000 0.000 0.300 0.700 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.1211 0.8770 0.960 0.000 0.000 0.024 0.016
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.0880 0.8901 0.000 0.000 0.032 0.000 0.968
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.0963 0.9098 0.036 0.000 0.000 0.964 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.3752 0.7436 0.148 0.000 0.000 0.048 0.804
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.0290 0.9049 0.008 0.000 0.000 0.000 0.992
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.0162 0.9053 0.000 0.000 0.004 0.000 0.996
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.0510 0.9120 0.000 0.000 0.016 0.984 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.1195 0.8746 0.960 0.000 0.000 0.028 0.012
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.1544 0.8573 0.068 0.000 0.000 0.000 0.932
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0703 0.9709 0.024 0.976 0.000 0.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.0566 0.9141 0.012 0.000 0.000 0.984 0.004
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.1043 0.9071 0.040 0.000 0.000 0.960 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.1544 0.8514 0.932 0.000 0.000 0.068 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.0290 0.9199 0.008 0.000 0.000 0.992 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.1043 0.8791 0.960 0.000 0.000 0.000 0.040
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.2471 0.7943 0.864 0.000 0.000 0.136 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.3508 0.6286 0.748 0.000 0.000 0.252 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.0000 0.9060 0.000 0.000 0.000 0.000 1.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 5 0.3661 0.6224 0.000 0.000 0.276 0.000 0.724
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0794 0.9687 0.028 0.972 0.000 0.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.0794 0.9063 0.000 0.000 0.028 0.972 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.0162 0.9203 0.004 0.000 0.000 0.996 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 4 0.4182 0.3719 0.400 0.000 0.000 0.600 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.2648 0.7737 0.848 0.000 0.000 0.152 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 5 0.0794 0.8927 0.028 0.000 0.000 0.000 0.972
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 5 0.4273 0.1111 0.448 0.000 0.000 0.000 0.552
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.0162 0.9060 0.004 0.000 0.000 0.000 0.996
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 4 0.3774 0.5789 0.296 0.000 0.000 0.704 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 4 0.3039 0.7521 0.192 0.000 0.000 0.808 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.1121 0.8782 0.956 0.000 0.000 0.000 0.044
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.1493 0.8781 0.948 0.000 0.000 0.024 0.028
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.0000 0.9198 0.000 0.000 0.000 1.000 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 4 0.1043 0.9072 0.040 0.000 0.000 0.960 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 5 0.2920 0.8000 0.016 0.000 0.000 0.132 0.852
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 5 0.6519 0.0498 0.000 0.000 0.368 0.196 0.436
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 5 0.0162 0.9060 0.004 0.000 0.000 0.000 0.996
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 5 0.0000 0.9060 0.000 0.000 0.000 0.000 1.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 4 0.1043 0.9075 0.040 0.000 0.000 0.960 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 5 0.0162 0.9060 0.004 0.000 0.000 0.000 0.996
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 4 0.0290 0.9198 0.008 0.000 0.000 0.992 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 4 0.3210 0.7291 0.212 0.000 0.000 0.788 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.4219 0.2811 0.000 0.584 0.416 0.000 0.000
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.2561 0.8264 0.020 0.096 0.884 0.000 0.000
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.1195 0.8746 0.960 0.000 0.000 0.028 0.012
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 5 0.0162 0.9060 0.004 0.000 0.000 0.000 0.996
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 5 0.0486 0.9032 0.004 0.000 0.004 0.004 0.988
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.0162 0.9372 0.000 0.000 0.996 0.000 0.004
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 5 0.0566 0.9012 0.012 0.000 0.000 0.004 0.984
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 4 0.0000 0.9198 0.000 0.000 0.000 1.000 0.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 4 0.0162 0.9189 0.000 0.000 0.000 0.996 0.004
#> 0E22B729-C381-4B0C-9897-62DD38F51722 5 0.0000 0.9060 0.000 0.000 0.000 0.000 1.000
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.4640 0.3160 0.584 0.000 0.000 0.400 0.016
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 4 0.3246 0.7416 0.008 0.000 0.000 0.808 0.184
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 5 0.0162 0.9060 0.004 0.000 0.000 0.000 0.996
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.1043 0.8791 0.960 0.000 0.000 0.000 0.040
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 4 0.0613 0.9137 0.004 0.000 0.008 0.984 0.004
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0963 0.8792 0.964 0.000 0.000 0.000 0.036
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 5 0.0613 0.9016 0.008 0.000 0.004 0.004 0.984
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 4 0.0162 0.9189 0.000 0.000 0.000 0.996 0.004
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 5 0.0912 0.8958 0.016 0.000 0.000 0.012 0.972
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 5 0.0162 0.9053 0.000 0.000 0.000 0.004 0.996
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 4 0.2020 0.8626 0.100 0.000 0.000 0.900 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.0324 0.9196 0.004 0.000 0.004 0.992 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.3983 0.5282 0.660 0.000 0.000 0.000 0.340
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 5 0.0162 0.9060 0.004 0.000 0.000 0.000 0.996
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 5 0.5831 0.1434 0.096 0.000 0.000 0.408 0.496
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 5 0.0162 0.9060 0.004 0.000 0.000 0.000 0.996
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.0162 0.9371 0.000 0.000 0.996 0.004 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.0162 0.9187 0.004 0.000 0.000 0.996 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.0510 0.9179 0.016 0.000 0.000 0.984 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.1168 0.8731 0.960 0.000 0.000 0.032 0.008
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.4306 0.1016 0.508 0.000 0.000 0.000 0.492
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.1800 0.9309 0.020 0.932 0.000 0.048 0.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.1608 0.8653 0.928 0.000 0.000 0.000 0.072
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0162 0.9789 0.004 0.996 0.000 0.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0162 0.9789 0.004 0.996 0.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.0963 0.8872 0.000 0.000 0.036 0.000 0.964
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.0162 0.9203 0.004 0.000 0.000 0.996 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 4 0.5396 0.3364 0.016 0.000 0.040 0.600 0.344
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.1478 0.8922 0.064 0.000 0.000 0.936 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.0000 0.9198 0.000 0.000 0.000 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.0000 0.9060 0.000 0.000 0.000 0.000 1.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.0963 0.9097 0.036 0.000 0.000 0.964 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.3756 0.6384 0.000 0.000 0.744 0.248 0.008
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.1106 0.8758 0.964 0.000 0.000 0.024 0.012
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0290 0.9774 0.008 0.992 0.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0162 0.9203 0.004 0.000 0.000 0.996 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.3636 0.6028 0.000 0.000 0.728 0.000 0.272
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.0404 0.9022 0.000 0.000 0.012 0.000 0.988
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.0162 0.9053 0.000 0.000 0.004 0.000 0.996
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.1043 0.8791 0.960 0.000 0.000 0.000 0.040
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.2660 0.8206 0.000 0.000 0.864 0.008 0.128
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.1043 0.8674 0.960 0.000 0.000 0.040 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.1043 0.8791 0.960 0.000 0.000 0.000 0.040
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.1478 0.8543 0.936 0.000 0.000 0.064 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.0000 0.9060 0.000 0.000 0.000 0.000 1.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0162 0.9203 0.004 0.000 0.000 0.996 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.0703 0.8972 0.000 0.000 0.024 0.000 0.976
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0404 0.9190 0.012 0.000 0.000 0.988 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.0510 0.9001 0.000 0.000 0.016 0.000 0.984
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.0865 0.9091 0.004 0.000 0.024 0.972 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.1197 0.8769 0.952 0.000 0.000 0.000 0.048
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.1043 0.8683 0.960 0.000 0.000 0.040 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.1216 0.8779 0.960 0.000 0.000 0.020 0.020
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.0290 0.9049 0.008 0.000 0.000 0.000 0.992
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.1341 0.8591 0.944 0.000 0.000 0.056 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.2127 0.8423 0.000 0.000 0.892 0.000 0.108
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.3724 0.7318 0.020 0.776 0.204 0.000 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.6790 0.0912 0.000 0.000 0.376 0.336 0.288
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.1043 0.8674 0.960 0.000 0.000 0.040 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.9401 0.000 0.000 1.000 0.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0162 0.9203 0.004 0.000 0.000 0.996 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.1965 0.8842 0.096 0.904 0.000 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.1106 0.8789 0.964 0.000 0.000 0.012 0.024
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.4171 0.4053 0.604 0.000 0.000 0.000 0.396
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.4262 0.2125 0.560 0.000 0.000 0.440 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.2690 0.7959 0.844 0.000 0.000 0.000 0.156
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.0000 0.9060 0.000 0.000 0.000 0.000 1.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.4403 0.3524 0.000 0.000 0.008 0.384 0.608
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0609 0.9728 0.020 0.980 0.000 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0162 0.9203 0.004 0.000 0.000 0.996 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0162 0.9060 0.004 0.000 0.000 0.000 0.996
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0162 0.9203 0.004 0.000 0.000 0.996 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.1124 0.8986 0.036 0.000 0.000 0.960 0.004
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.3561 0.6646 0.740 0.000 0.000 0.000 0.260
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.4384 0.5183 0.016 0.000 0.000 0.324 0.660
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.4256 0.1266 0.436 0.000 0.000 0.000 0.564
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.2020 0.8471 0.900 0.000 0.000 0.000 0.100
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0451 0.9029 0.008 0.000 0.000 0.004 0.988
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.4030 0.4498 0.648 0.000 0.000 0.352 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9802 0.000 1.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1965 0.8506 0.904 0.000 0.000 0.000 0.096
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.2941 7.73e-01 0.000 0.780 0.000 0.000 0.000 0.220
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.0806 8.72e-01 0.008 0.000 0.000 0.000 0.972 0.020
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.2793 7.92e-01 0.000 0.800 0.000 0.000 0.000 0.200
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.1219 7.52e-01 0.004 0.000 0.000 0.948 0.000 0.048
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.2048 7.44e-01 0.000 0.000 0.000 0.880 0.000 0.120
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.3050 7.55e-01 0.000 0.764 0.000 0.000 0.000 0.236
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0260 8.74e-01 0.008 0.000 0.000 0.000 0.992 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0260 8.73e-01 0.000 0.000 0.000 0.000 0.992 0.008
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0146 9.01e-01 0.000 0.000 0.996 0.000 0.000 0.004
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.2562 8.15e-01 0.000 0.828 0.000 0.000 0.000 0.172
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#> 79499169-A093-4E0A-B6BD-010CD7BE5035 4 0.3954 3.42e-01 0.352 0.000 0.000 0.636 0.000 0.012
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0000 9.03e-01 0.000 0.000 1.000 0.000 0.000 0.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.1714 7.56e-01 0.000 0.000 0.000 0.908 0.000 0.092
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.4218 2.43e-01 0.556 0.000 0.000 0.000 0.428 0.016
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0000 9.03e-01 0.000 0.000 1.000 0.000 0.000 0.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 5 0.0146 8.74e-01 0.004 0.000 0.000 0.000 0.996 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 4 0.4939 5.46e-01 0.052 0.000 0.000 0.612 0.016 0.320
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 5 0.0146 8.74e-01 0.000 0.000 0.000 0.000 0.996 0.004
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0146 9.03e-01 0.000 0.000 0.996 0.000 0.000 0.004
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.2597 8.12e-01 0.000 0.824 0.000 0.000 0.000 0.176
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.2597 8.12e-01 0.000 0.824 0.000 0.000 0.000 0.176
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.5212 4.73e-01 0.000 0.000 0.588 0.092 0.008 0.312
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.1007 7.65e-01 0.000 0.000 0.000 0.956 0.000 0.044
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.2730 7.99e-01 0.000 0.808 0.000 0.000 0.000 0.192
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.2019 7.30e-01 0.012 0.000 0.000 0.900 0.000 0.088
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.3645 7.63e-01 0.816 0.000 0.000 0.092 0.072 0.020
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 5 0.5435 3.84e-01 0.120 0.000 0.000 0.004 0.544 0.332
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.4402 6.61e-01 0.000 0.712 0.000 0.104 0.000 0.184
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.1367 8.22e-01 0.944 0.000 0.000 0.000 0.012 0.044
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.1387 8.89e-01 0.000 0.932 0.000 0.000 0.000 0.068
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0146 9.25e-01 0.000 0.996 0.000 0.000 0.000 0.004
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.3861 5.06e-01 0.000 0.000 0.000 0.008 0.640 0.352
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.2793 7.92e-01 0.000 0.800 0.000 0.000 0.000 0.200
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.1910 7.13e-01 0.000 0.000 0.000 0.892 0.000 0.108
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 6 0.6575 -4.00e-03 0.004 0.000 0.052 0.136 0.380 0.428
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0000 9.03e-01 0.000 0.000 1.000 0.000 0.000 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.3307 6.16e-01 0.148 0.000 0.000 0.808 0.000 0.044
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.1007 7.65e-01 0.000 0.000 0.000 0.956 0.000 0.044
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.0000 8.74e-01 0.000 0.000 0.000 0.000 1.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.0622 7.67e-01 0.012 0.000 0.000 0.980 0.000 0.008
#> C3921A29-80FF-4B9D-B366-5C0238A42231 4 0.5408 4.63e-01 0.000 0.000 0.124 0.560 0.004 0.312
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0665 8.37e-01 0.980 0.000 0.000 0.008 0.004 0.008
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 9.03e-01 0.000 0.000 1.000 0.000 0.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0146 9.25e-01 0.000 0.996 0.000 0.000 0.000 0.004
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#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0937 7.53e-01 0.000 0.000 0.000 0.960 0.000 0.040
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.4177 6.05e-01 0.000 0.000 0.724 0.004 0.216 0.056
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0146 9.03e-01 0.000 0.000 0.996 0.000 0.000 0.004
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.0937 8.59e-01 0.000 0.000 0.000 0.000 0.960 0.040
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.0363 8.73e-01 0.000 0.000 0.000 0.000 0.988 0.012
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0146 8.36e-01 0.996 0.000 0.000 0.000 0.000 0.004
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.2510 8.12e-01 0.000 0.000 0.884 0.008 0.080 0.028
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.1168 8.30e-01 0.956 0.000 0.000 0.016 0.000 0.028
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.2823 7.89e-01 0.000 0.796 0.000 0.000 0.000 0.204
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0260 8.35e-01 0.992 0.000 0.000 0.000 0.000 0.008
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 9.03e-01 0.000 0.000 1.000 0.000 0.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.1501 8.84e-01 0.000 0.924 0.000 0.000 0.000 0.076
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.3555 7.08e-01 0.780 0.000 0.000 0.176 0.000 0.044
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.0000 8.74e-01 0.000 0.000 0.000 0.000 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0146 7.65e-01 0.000 0.000 0.000 0.996 0.000 0.004
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.0717 8.70e-01 0.000 0.000 0.008 0.000 0.976 0.016
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0260 9.24e-01 0.000 0.992 0.000 0.000 0.000 0.008
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0692 7.60e-01 0.004 0.000 0.000 0.976 0.000 0.020
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.0260 8.73e-01 0.000 0.000 0.000 0.000 0.992 0.008
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 9.03e-01 0.000 0.000 1.000 0.000 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.0858 7.65e-01 0.000 0.000 0.004 0.968 0.000 0.028
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0405 8.37e-01 0.988 0.000 0.000 0.000 0.004 0.008
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.1333 8.23e-01 0.944 0.000 0.000 0.048 0.000 0.008
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0146 8.36e-01 0.996 0.000 0.000 0.000 0.000 0.004
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.0405 8.73e-01 0.004 0.000 0.000 0.000 0.988 0.008
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.1858 7.96e-01 0.904 0.000 0.000 0.092 0.000 0.004
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.5421 4.09e-01 0.000 0.000 0.528 0.000 0.132 0.340
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.4474 6.62e-01 0.000 0.708 0.120 0.000 0.000 0.172
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.5537 4.83e-01 0.000 0.000 0.052 0.572 0.052 0.324
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0653 8.36e-01 0.980 0.000 0.004 0.012 0.000 0.004
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 9.03e-01 0.000 0.000 1.000 0.000 0.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.3076 7.51e-01 0.000 0.760 0.000 0.000 0.000 0.240
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0146 7.64e-01 0.000 0.000 0.000 0.996 0.000 0.004
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.1196 8.85e-01 0.040 0.952 0.000 0.000 0.000 0.008
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0260 8.36e-01 0.992 0.000 0.000 0.000 0.000 0.008
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.4469 1.51e-01 0.504 0.000 0.000 0.000 0.468 0.028
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.5011 5.13e-01 0.272 0.000 0.000 0.616 0.000 0.112
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.4332 5.20e-01 0.644 0.000 0.000 0.000 0.316 0.040
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.0146 8.74e-01 0.000 0.000 0.000 0.000 0.996 0.004
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.4928 4.76e-01 0.000 0.000 0.000 0.572 0.076 0.352
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.2969 7.69e-01 0.000 0.776 0.000 0.000 0.000 0.224
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.1908 7.22e-01 0.004 0.000 0.000 0.900 0.000 0.096
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0291 8.74e-01 0.004 0.000 0.000 0.000 0.992 0.004
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0865 7.55e-01 0.000 0.000 0.000 0.964 0.000 0.036
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 6 0.3862 -2.51e-01 0.000 0.000 0.000 0.476 0.000 0.524
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.3729 5.55e-01 0.692 0.000 0.000 0.000 0.296 0.012
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.4093 2.98e-01 0.000 0.000 0.000 0.012 0.584 0.404
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.4264 3.43e-01 0.352 0.000 0.000 0.000 0.620 0.028
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.5304 4.32e-01 0.572 0.000 0.000 0.000 0.136 0.292
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0260 9.24e-01 0.000 0.992 0.000 0.000 0.000 0.008
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0458 8.73e-01 0.000 0.000 0.000 0.000 0.984 0.016
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4254 5.43e-01 0.272 0.000 0.000 0.680 0.000 0.048
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 9.27e-01 0.000 1.000 0.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1074 8.30e-01 0.960 0.000 0.000 0.000 0.028 0.012
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17377 rows and 265 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.913 0.935 0.971 0.1959 0.822 0.822
#> 3 3 0.425 0.737 0.768 1.2751 0.648 0.573
#> 4 4 0.659 0.788 0.878 0.3170 0.885 0.770
#> 5 5 0.683 0.748 0.848 0.0991 0.993 0.983
#> 6 6 0.668 0.559 0.777 0.0566 0.918 0.802
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 1 0.0000 0.975 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.2778 0.932 0.952 0.048
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 1 0.0000 0.975 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 1 0.0000 0.975 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.975 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 1 0.0000 0.975 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.975 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 1 0.0000 0.975 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 1 0.0000 0.975 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.975 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.975 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 1 0.0000 0.975 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 1 0.0000 0.975 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 2 0.1633 0.924 0.024 0.976
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 1 0.0672 0.969 0.992 0.008
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.975 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.975 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.9922 0.111 0.552 0.448
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.975 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.975 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.2236 0.944 0.964 0.036
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.975 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.975 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 2 0.1633 0.924 0.024 0.976
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 1 0.0000 0.975 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 1 0.0000 0.975 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.975 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.975 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.975 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.975 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.0000 0.975 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.975 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.975 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.975 1.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 1 0.0000 0.975 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0376 0.972 0.996 0.004
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 1 0.0376 0.972 0.996 0.004
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.3114 0.925 0.944 0.056
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.3274 0.921 0.940 0.060
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0376 0.972 0.996 0.004
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.0000 0.911 0.000 1.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 1 0.0000 0.975 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.3879 0.905 0.924 0.076
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.9608 0.335 0.616 0.384
#> C5C3241A-684C-4238-9333-9AF8630EC086 1 0.0000 0.975 1.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 1 0.0000 0.975 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.2043 0.920 0.032 0.968
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.9044 0.502 0.680 0.320
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.975 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 1 0.0000 0.975 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.975 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.975 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.975 1.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.5059 0.859 0.888 0.112
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.975 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.975 1.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 2 0.1633 0.924 0.024 0.976
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.975 1.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.975 1.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 1 0.0000 0.975 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 1 0.0000 0.975 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 1 0.0000 0.975 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.975 1.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.975 1.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.975 1.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.0376 0.972 0.996 0.004
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0376 0.972 0.996 0.004
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.7139 0.742 0.804 0.196
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.975 1.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0376 0.972 0.996 0.004
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.975 1.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.5408 0.844 0.876 0.124
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 1 0.0000 0.975 1.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 1 0.0000 0.975 1.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 1 0.2778 0.933 0.952 0.048
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 1 0.0000 0.975 1.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.0376 0.972 0.996 0.004
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 2 0.1633 0.924 0.024 0.976
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.975 1.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.975 1.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 1 0.0000 0.975 1.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.0000 0.975 1.000 0.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.975 1.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.975 1.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 2 0.0000 0.911 0.000 1.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.0000 0.975 1.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.975 1.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 1 0.0000 0.975 1.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 1 0.0000 0.975 1.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.975 1.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.975 1.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0376 0.972 0.996 0.004
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.8267 0.633 0.740 0.260
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 1 0.0000 0.975 1.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.3274 0.921 0.940 0.060
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.0000 0.975 1.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.975 1.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.975 1.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.975 1.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0000 0.975 1.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.975 1.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 1 0.0000 0.975 1.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 2 0.3431 0.906 0.064 0.936
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.975 1.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 1 0.0000 0.975 1.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 2 0.5519 0.856 0.128 0.872
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 2 0.6438 0.822 0.164 0.836
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0000 0.975 1.000 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 2 0.9170 0.581 0.332 0.668
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.975 1.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 1 0.0000 0.975 1.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0000 0.975 1.000 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.0000 0.975 1.000 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.975 1.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 2 0.9129 0.589 0.328 0.672
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.0000 0.975 1.000 0.000
#> 7955FC55-386D-497E-AFED-019BBBAD428E 2 0.1633 0.924 0.024 0.976
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.0376 0.972 0.996 0.004
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0000 0.975 1.000 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 2 0.2043 0.920 0.032 0.968
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0000 0.975 1.000 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.975 1.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.975 1.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 1 0.0000 0.975 1.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 1 0.9661 0.310 0.608 0.392
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.0000 0.975 1.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.975 1.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 1 0.0000 0.975 1.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 1 0.3114 0.925 0.944 0.056
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 1 0.0000 0.975 1.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 1 0.4161 0.895 0.916 0.084
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 1 0.0000 0.975 1.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.975 1.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 1 0.0000 0.975 1.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 1 0.0000 0.975 1.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.975 1.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 1 0.0000 0.975 1.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.4815 0.869 0.896 0.104
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 1 0.0000 0.975 1.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 1 0.9552 0.359 0.624 0.376
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 2 0.0000 0.911 0.000 1.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.0000 0.975 1.000 0.000
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 1 0.0000 0.975 1.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.0000 0.975 1.000 0.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.0000 0.975 1.000 0.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.0000 0.975 1.000 0.000
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.975 1.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.0000 0.975 1.000 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.975 1.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0000 0.975 1.000 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.0000 0.975 1.000 0.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.975 1.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.7139 0.742 0.804 0.196
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.0000 0.975 1.000 0.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.0376 0.972 0.996 0.004
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.0000 0.975 1.000 0.000
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.0672 0.969 0.992 0.008
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0000 0.975 1.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 2 0.1633 0.924 0.024 0.976
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.0000 0.975 1.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 1 0.0000 0.975 1.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 1 0.0000 0.975 1.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.975 1.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 2 0.1633 0.924 0.024 0.976
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.975 1.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0376 0.972 0.996 0.004
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.4815 0.869 0.896 0.104
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 2 0.0000 0.911 0.000 1.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 1 0.0376 0.972 0.996 0.004
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 1 0.0376 0.972 0.996 0.004
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.1843 0.952 0.972 0.028
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.0000 0.975 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 1 0.0000 0.975 1.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.975 1.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.975 1.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 1 0.0000 0.975 1.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0376 0.972 0.996 0.004
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 1 0.1414 0.959 0.980 0.020
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.975 1.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 1 0.2043 0.948 0.968 0.032
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 1 0.0000 0.975 1.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.7139 0.742 0.804 0.196
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 1 0.0000 0.975 1.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0000 0.975 1.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.0672 0.969 0.992 0.008
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 2 0.1633 0.924 0.024 0.976
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0376 0.972 0.996 0.004
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.0000 0.975 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 1 0.0000 0.975 1.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 1 0.0376 0.972 0.996 0.004
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.4815 0.869 0.896 0.104
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.975 1.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.1843 0.952 0.972 0.028
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.975 1.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 2 0.1633 0.924 0.024 0.976
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 1 0.0000 0.975 1.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 1 0.0000 0.975 1.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.975 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 1 0.9286 0.444 0.656 0.344
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 2 0.0000 0.911 0.000 1.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.9044 0.502 0.680 0.320
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.0376 0.972 0.996 0.004
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 1 0.0000 0.975 1.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.975 1.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.9393 0.526 0.356 0.644
#> 2E24A786-4370-42A1-AD50-D651F89819CC 1 0.0000 0.975 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.975 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 1 0.0000 0.975 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.975 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 1 0.0000 0.975 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 2 0.3114 0.911 0.056 0.944
#> BD50E276-914F-4924-8CEA-FF47A66DB175 1 0.0000 0.975 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 1 0.0000 0.975 1.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 1 0.0000 0.975 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.975 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0376 0.972 0.996 0.004
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0000 0.975 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.9044 0.502 0.680 0.320
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 1 0.3274 0.921 0.940 0.060
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.975 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.7602 0.702 0.780 0.220
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 2 0.3114 0.911 0.056 0.944
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.1843 0.952 0.972 0.028
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.975 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.975 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0376 0.972 0.996 0.004
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.975 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.975 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 1 0.0000 0.975 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.9170 0.581 0.332 0.668
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 1 0.0672 0.969 0.992 0.008
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0376 0.972 0.996 0.004
#> 23917D52-7864-4F84-9C77-DF8EA9407345 1 0.0000 0.975 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0376 0.972 0.996 0.004
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 1 0.0000 0.975 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 2 0.1633 0.924 0.024 0.976
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 1 0.0000 0.975 1.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.975 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.0938 0.966 0.988 0.012
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.975 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.975 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.975 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.975 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.4815 0.869 0.896 0.104
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0376 0.972 0.996 0.004
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 1 0.0000 0.975 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 1 0.0000 0.975 1.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.975 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.975 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 1 0.0000 0.975 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 1 0.0000 0.975 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 1 0.0000 0.975 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.975 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.0000 0.975 1.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 1 0.0000 0.975 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 1 0.0000 0.975 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.975 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0000 0.975 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.975 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.975 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 1 0.0000 0.975 1.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.975 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.975 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 1 0.0000 0.975 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.975 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.6291 0.9843 0.468 0.532 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.4873 0.7044 0.824 0.152 0.024
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.6286 0.9934 0.464 0.536 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.6291 0.9843 0.468 0.532 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0237 0.7931 0.996 0.004 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.6286 0.9934 0.464 0.536 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0237 0.7926 0.996 0.004 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.6286 0.9934 0.464 0.536 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.6295 0.9836 0.472 0.528 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.7942 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.1129 0.8003 0.976 0.020 0.004
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.6286 0.9934 0.464 0.536 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.6286 0.9934 0.464 0.536 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.8793 0.000 0.000 1.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.6676 0.9643 0.476 0.516 0.008
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.1031 0.7998 0.976 0.024 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0237 0.7955 0.996 0.000 0.004
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.9690 0.3140 0.324 0.232 0.444
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.2796 0.7783 0.908 0.092 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.2796 0.7788 0.908 0.092 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.7460 -0.7931 0.524 0.440 0.036
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.2878 0.7760 0.904 0.096 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0237 0.7931 0.996 0.004 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.8793 0.000 0.000 1.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.6286 0.9934 0.464 0.536 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.6286 0.9934 0.464 0.536 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.2796 0.7788 0.908 0.092 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.1031 0.7998 0.976 0.024 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.3038 0.7703 0.896 0.104 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.3116 0.7718 0.892 0.108 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.0237 0.7926 0.996 0.004 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.1289 0.8004 0.968 0.032 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.2878 0.7760 0.904 0.096 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.3116 0.7701 0.892 0.108 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.6286 0.9934 0.464 0.536 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.5244 0.6034 0.756 0.240 0.004
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.6680 0.9054 0.484 0.508 0.008
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.8185 -0.6790 0.500 0.428 0.072
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.8268 -0.6431 0.484 0.440 0.076
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0829 0.7918 0.984 0.012 0.004
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.4654 0.8508 0.000 0.208 0.792
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.6286 0.9934 0.464 0.536 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.8460 -0.6903 0.472 0.440 0.088
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.9857 -0.2281 0.380 0.252 0.368
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.6286 0.9875 0.464 0.536 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.6286 0.9934 0.464 0.536 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.5480 0.8588 0.004 0.264 0.732
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.9764 -0.0382 0.436 0.252 0.312
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.1753 0.7970 0.952 0.048 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.6286 0.9934 0.464 0.536 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0237 0.7931 0.996 0.004 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.1289 0.8002 0.968 0.032 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.2711 0.7824 0.912 0.088 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.6793 0.5109 0.744 0.128 0.128
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.7942 1.000 0.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.1411 0.7986 0.964 0.036 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.8793 0.000 0.000 1.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.3038 0.7703 0.896 0.104 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.3038 0.7703 0.896 0.104 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.6291 0.9843 0.468 0.532 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.6286 0.9934 0.464 0.536 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.6286 0.9934 0.464 0.536 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.1964 0.7944 0.944 0.056 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.1129 0.8003 0.976 0.020 0.004
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.1163 0.7996 0.972 0.028 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.0829 0.7918 0.984 0.012 0.004
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.5244 0.6034 0.756 0.240 0.004
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.8484 0.3429 0.616 0.196 0.188
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.2878 0.7785 0.904 0.096 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.2590 0.7948 0.924 0.072 0.004
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.7942 1.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.7433 0.4527 0.700 0.168 0.132
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.6291 0.9843 0.468 0.532 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.6286 0.9934 0.464 0.536 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 1 0.7699 -0.7231 0.532 0.420 0.048
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.6286 0.9934 0.464 0.536 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.2945 0.7246 0.908 0.088 0.004
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.8793 0.000 0.000 1.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.3038 0.7703 0.896 0.104 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.7942 1.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.6291 0.9891 0.468 0.532 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.0237 0.7931 0.996 0.004 0.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.1163 0.8002 0.972 0.028 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.3116 0.7701 0.892 0.108 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.4750 0.8508 0.000 0.216 0.784
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.0237 0.7931 0.996 0.004 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.3038 0.7703 0.896 0.104 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.6286 0.9934 0.464 0.536 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.6286 0.9934 0.464 0.536 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.1643 0.7969 0.956 0.044 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.1753 0.7977 0.952 0.048 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0475 0.7942 0.992 0.004 0.004
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.9842 -0.0998 0.412 0.328 0.260
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.6295 0.9781 0.472 0.528 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.3253 0.7459 0.912 0.052 0.036
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.0237 0.7926 0.996 0.004 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.1031 0.8005 0.976 0.024 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.3116 0.7718 0.892 0.108 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.1411 0.7986 0.964 0.036 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.3038 0.7703 0.896 0.104 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0661 0.7967 0.988 0.008 0.004
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.6286 0.9934 0.464 0.536 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.5269 0.8680 0.016 0.200 0.784
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.1031 0.7998 0.976 0.024 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.6286 0.9934 0.464 0.536 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.6192 0.8465 0.060 0.176 0.764
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.5722 0.8315 0.068 0.132 0.800
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.1753 0.7977 0.952 0.048 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.8163 0.7095 0.124 0.248 0.628
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.3116 0.7718 0.892 0.108 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.6286 0.9934 0.464 0.536 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.3116 0.7701 0.892 0.108 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.0237 0.7931 0.996 0.004 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0237 0.7926 0.996 0.004 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.8103 0.7147 0.120 0.248 0.632
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.0829 0.7875 0.984 0.012 0.004
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0000 0.8793 0.000 0.000 1.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.0829 0.7918 0.984 0.012 0.004
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0237 0.7931 0.996 0.004 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.5480 0.8592 0.004 0.264 0.732
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0424 0.7904 0.992 0.008 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.1163 0.8002 0.972 0.028 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.7942 1.000 0.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.6286 0.9934 0.464 0.536 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.9870 0.2333 0.364 0.256 0.380
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.0237 0.7931 0.996 0.004 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.3116 0.7701 0.892 0.108 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.6286 0.9934 0.464 0.536 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 1 0.8173 -0.6401 0.508 0.420 0.072
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.6286 0.9934 0.464 0.536 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 1 0.8403 -0.6368 0.512 0.400 0.088
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.6295 0.9836 0.472 0.528 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.3038 0.7703 0.896 0.104 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.6291 0.9843 0.468 0.532 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.6286 0.9934 0.464 0.536 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0475 0.7962 0.992 0.004 0.004
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.6286 0.9934 0.464 0.536 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.6462 0.5180 0.764 0.116 0.120
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.6286 0.9934 0.464 0.536 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 1 0.9883 -0.2228 0.380 0.260 0.360
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.4654 0.8508 0.000 0.208 0.792
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.0661 0.7911 0.988 0.008 0.004
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.6286 0.9934 0.464 0.536 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.0237 0.7931 0.996 0.004 0.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.0237 0.7926 0.996 0.004 0.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.1129 0.8003 0.976 0.020 0.004
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.2711 0.7833 0.912 0.088 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.0424 0.7940 0.992 0.008 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.1289 0.8004 0.968 0.032 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.3116 0.7718 0.892 0.108 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.0237 0.7926 0.996 0.004 0.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.3038 0.7703 0.896 0.104 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.8484 0.3429 0.616 0.196 0.188
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.0237 0.7926 0.996 0.004 0.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.3112 0.6990 0.900 0.096 0.004
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.0829 0.7875 0.984 0.012 0.004
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.2269 0.7619 0.944 0.040 0.016
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.3116 0.7718 0.892 0.108 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0000 0.8793 0.000 0.000 1.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.0892 0.7991 0.980 0.020 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.6286 0.9934 0.464 0.536 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.6286 0.9934 0.464 0.536 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0424 0.7981 0.992 0.008 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0000 0.8793 0.000 0.000 1.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.1163 0.7996 0.972 0.028 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.2590 0.7948 0.924 0.072 0.004
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.6462 0.5180 0.764 0.116 0.120
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.4654 0.8508 0.000 0.208 0.792
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.6505 0.9807 0.468 0.528 0.004
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.6505 0.9807 0.468 0.528 0.004
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.3377 0.7207 0.896 0.092 0.012
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.0237 0.7931 0.996 0.004 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.6291 0.9891 0.468 0.532 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0237 0.7926 0.996 0.004 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0892 0.7995 0.980 0.020 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.6286 0.9934 0.464 0.536 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.3267 0.7691 0.884 0.116 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 1 0.6881 -0.4235 0.592 0.388 0.020
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.2959 0.7771 0.900 0.100 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 1 0.7489 -0.8321 0.496 0.468 0.036
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.6286 0.9934 0.464 0.536 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.8484 0.3429 0.616 0.196 0.188
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.6291 0.9843 0.468 0.532 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0237 0.7931 0.996 0.004 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.2599 0.7610 0.932 0.052 0.016
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0000 0.8793 0.000 0.000 1.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.4521 0.6468 0.816 0.180 0.004
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.0237 0.7926 0.996 0.004 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.6286 0.9934 0.464 0.536 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 1 0.6298 -0.3666 0.608 0.388 0.004
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.6462 0.5180 0.764 0.116 0.120
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0892 0.8000 0.980 0.020 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.3377 0.7207 0.896 0.092 0.012
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.3038 0.7703 0.896 0.104 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 0.8793 0.000 0.000 1.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.6286 0.9934 0.464 0.536 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.6286 0.9934 0.464 0.536 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0237 0.7931 0.996 0.004 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 1 0.9833 -0.1193 0.412 0.256 0.332
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.4654 0.8508 0.000 0.208 0.792
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.9743 -0.0222 0.440 0.248 0.312
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.0661 0.7944 0.988 0.004 0.008
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.6286 0.9934 0.464 0.536 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.3038 0.7703 0.896 0.104 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.8677 0.6665 0.144 0.280 0.576
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.6286 0.9934 0.464 0.536 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.1289 0.8002 0.968 0.032 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.6295 0.9836 0.472 0.528 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.3116 0.7718 0.892 0.108 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.6286 0.9934 0.464 0.536 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.5012 0.8688 0.008 0.204 0.788
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.6286 0.9934 0.464 0.536 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.6286 0.9934 0.464 0.536 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.6286 0.9934 0.464 0.536 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.1643 0.7969 0.956 0.044 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0424 0.7960 0.992 0.000 0.008
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0237 0.7931 0.996 0.004 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.9764 -0.0382 0.436 0.252 0.312
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 1 0.8268 -0.6431 0.484 0.440 0.076
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0237 0.7926 0.996 0.004 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.8984 0.2650 0.564 0.224 0.212
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.5012 0.8688 0.008 0.204 0.788
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.2187 0.7771 0.948 0.028 0.024
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.3038 0.7703 0.896 0.104 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.3116 0.7701 0.892 0.108 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.5244 0.6034 0.756 0.240 0.004
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0237 0.7958 0.996 0.004 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.3116 0.7701 0.892 0.108 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.6286 0.9934 0.464 0.536 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.8163 0.7095 0.124 0.248 0.628
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.6676 0.9643 0.476 0.516 0.008
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0829 0.7918 0.984 0.012 0.004
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.6286 0.9934 0.464 0.536 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.5244 0.6034 0.756 0.240 0.004
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.6286 0.9934 0.464 0.536 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.8793 0.000 0.000 1.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.6291 0.9843 0.468 0.532 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0237 0.7931 0.996 0.004 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.6548 -0.2951 0.616 0.372 0.012
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.3038 0.7703 0.896 0.104 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.3038 0.7703 0.896 0.104 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.2878 0.7811 0.904 0.096 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.3116 0.7701 0.892 0.108 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.6462 0.5180 0.764 0.116 0.120
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.3112 0.6990 0.900 0.096 0.004
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.6286 0.9934 0.464 0.536 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.6291 0.9843 0.468 0.532 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0237 0.7926 0.996 0.004 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.7942 1.000 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.6286 0.9934 0.464 0.536 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.6286 0.9934 0.464 0.536 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.6286 0.9934 0.464 0.536 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0237 0.7926 0.996 0.004 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.0237 0.7955 0.996 0.000 0.004
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.6286 0.9934 0.464 0.536 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.6286 0.9934 0.464 0.536 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.3038 0.7703 0.896 0.104 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0592 0.7863 0.988 0.012 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.2261 0.7913 0.932 0.068 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.2959 0.7771 0.900 0.100 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.6291 0.9891 0.468 0.532 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0829 0.7875 0.984 0.012 0.004
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.2711 0.7833 0.912 0.088 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.6286 0.9934 0.464 0.536 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.2959 0.7771 0.900 0.100 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0921 0.93345 0.028 0.972 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.4928 0.81899 0.812 0.040 0.072 0.076
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0817 0.93856 0.024 0.976 0.000 0.000
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#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.2066 0.89328 0.940 0.008 0.024 0.028
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.5394 0.61273 0.712 0.060 0.228 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 4 0.2773 0.85751 0.000 0.004 0.116 0.880
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.1109 0.93157 0.028 0.968 0.004 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.1109 0.93157 0.028 0.968 0.004 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.4087 0.82714 0.844 0.068 0.080 0.008
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.1576 0.90255 0.948 0.048 0.000 0.004
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0921 0.93634 0.028 0.972 0.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.1389 0.90199 0.952 0.048 0.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.1452 0.90602 0.956 0.036 0.000 0.008
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.2599 0.87679 0.912 0.004 0.020 0.064
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.6735 0.43272 0.272 0.612 0.108 0.008
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.1978 0.87877 0.928 0.004 0.000 0.068
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.3958 0.78356 0.112 0.836 0.052 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.6534 0.21325 0.556 0.072 0.368 0.004
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.1022 0.93071 0.032 0.968 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.1389 0.90259 0.952 0.048 0.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.2926 0.87168 0.896 0.056 0.048 0.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.4353 -0.01494 0.000 0.012 0.756 0.232
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.6118 0.57969 0.704 0.208 0.048 0.040
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.1389 0.90199 0.952 0.048 0.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.6656 0.40594 0.300 0.612 0.068 0.020
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.5394 0.61273 0.712 0.060 0.228 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.1488 0.90516 0.956 0.032 0.000 0.012
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.4087 0.82714 0.844 0.068 0.080 0.008
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.2011 0.87142 0.920 0.000 0.000 0.080
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.4353 -0.01494 0.000 0.012 0.756 0.232
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.1576 0.90255 0.948 0.048 0.000 0.004
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.7787 0.40205 0.348 0.084 0.512 0.056
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 4 0.2773 0.85751 0.000 0.004 0.116 0.880
#> CED15676-B901-4FC8-9C8D-51E529D9441D 3 0.7730 0.38944 0.380 0.084 0.488 0.048
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.1909 0.90224 0.940 0.048 0.008 0.004
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.2011 0.87142 0.920 0.000 0.000 0.080
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.7835 0.11776 0.096 0.056 0.532 0.316
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.1610 0.90504 0.952 0.032 0.000 0.016
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.1022 0.93339 0.032 0.968 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.2197 0.87226 0.916 0.004 0.000 0.080
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 4 0.4990 0.73709 0.000 0.008 0.352 0.640
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.1174 0.89952 0.968 0.012 0.000 0.020
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.1953 0.90251 0.940 0.044 0.012 0.004
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.1576 0.90255 0.948 0.048 0.000 0.004
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.7723 0.39204 0.376 0.084 0.492 0.048
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.6457 0.51736 0.156 0.644 0.200 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.1389 0.90199 0.952 0.048 0.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.6425 0.01109 0.508 0.068 0.424 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 4 0.4990 0.73709 0.000 0.008 0.352 0.640
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.3091 0.87642 0.896 0.048 0.048 0.008
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.2011 0.87142 0.920 0.000 0.000 0.080
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.2197 0.87054 0.916 0.004 0.000 0.080
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.6395 0.63312 0.716 0.136 0.100 0.048
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.1489 0.90274 0.952 0.044 0.004 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.2266 0.86852 0.912 0.004 0.000 0.084
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.7235 0.09526 0.104 0.024 0.576 0.296
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.1820 0.91460 0.036 0.944 0.020 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.1975 0.89829 0.936 0.048 0.016 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.6395 0.63312 0.716 0.136 0.100 0.048
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.4353 -0.01494 0.000 0.012 0.756 0.232
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.1022 0.93071 0.032 0.968 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.1576 0.90255 0.948 0.048 0.000 0.004
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.6936 0.27314 0.352 0.556 0.072 0.020
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.2011 0.87142 0.920 0.000 0.000 0.080
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.2011 0.87142 0.920 0.000 0.000 0.080
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.1994 0.88575 0.936 0.004 0.008 0.052
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.2266 0.86852 0.912 0.004 0.000 0.084
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.5394 0.61273 0.712 0.060 0.228 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.3761 0.83008 0.852 0.068 0.080 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.1022 0.93071 0.032 0.968 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.1389 0.90199 0.952 0.048 0.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.1302 0.90235 0.956 0.044 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.1389 0.90199 0.952 0.048 0.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.1822 0.90310 0.944 0.044 0.008 0.004
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.2011 0.87142 0.920 0.000 0.000 0.080
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.1557 0.89852 0.944 0.056 0.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.1296 0.89512 0.964 0.004 0.004 0.028
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.1978 0.87877 0.928 0.004 0.000 0.068
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0921 0.93634 0.028 0.972 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.2076 0.89761 0.932 0.056 0.008 0.004
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.1890 0.88614 0.936 0.008 0.000 0.056
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0817 0.93856 0.024 0.976 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1978 0.87877 0.928 0.004 0.000 0.068
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0566 0.9280 0.004 0.984 0.000 0.000 0.012
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.4309 0.6544 0.676 0.016 0.000 0.000 0.308
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0566 0.9280 0.004 0.984 0.000 0.000 0.012
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0798 0.8036 0.976 0.008 0.000 0.000 0.016
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0693 0.8028 0.980 0.008 0.000 0.000 0.012
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0324 0.9312 0.004 0.992 0.000 0.000 0.004
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0798 0.8053 0.976 0.008 0.000 0.000 0.016
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.2249 0.8107 0.896 0.008 0.000 0.000 0.096
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.8999 0.000 0.000 1.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1329 0.9101 0.008 0.956 0.004 0.000 0.032
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.1430 0.8123 0.944 0.004 0.000 0.000 0.052
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0992 0.8074 0.968 0.008 0.000 0.000 0.024
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 5 0.8344 0.6301 0.252 0.012 0.144 0.168 0.424
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.3452 0.7485 0.756 0.000 0.000 0.000 0.244
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.3550 0.7587 0.760 0.004 0.000 0.000 0.236
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.4700 0.6633 0.116 0.748 0.004 0.000 0.132
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.3586 0.7365 0.736 0.000 0.000 0.000 0.264
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0693 0.8041 0.980 0.008 0.000 0.000 0.012
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.8999 0.000 0.000 1.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.3521 0.7589 0.764 0.004 0.000 0.000 0.232
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.1430 0.8123 0.944 0.004 0.000 0.000 0.052
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.3816 0.7100 0.696 0.000 0.000 0.000 0.304
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.3752 0.7195 0.708 0.000 0.000 0.000 0.292
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.0693 0.8028 0.980 0.008 0.000 0.000 0.012
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.1956 0.8111 0.916 0.008 0.000 0.000 0.076
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.3534 0.7418 0.744 0.000 0.000 0.000 0.256
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.3837 0.7048 0.692 0.000 0.000 0.000 0.308
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.5434 0.3888 0.496 0.048 0.004 0.000 0.452
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.3146 0.8080 0.052 0.856 0.000 0.000 0.092
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.6257 0.3694 0.148 0.588 0.016 0.000 0.248
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 2 0.6366 0.3068 0.124 0.556 0.020 0.000 0.300
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.1195 0.7981 0.960 0.012 0.000 0.000 0.028
#> 177C7EF4-2D54-4555-947C-44EE7C688917 4 0.0162 0.8282 0.000 0.000 0.004 0.996 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 5 0.6394 -0.0208 0.112 0.432 0.008 0.004 0.444
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 5 0.7842 0.6751 0.312 0.012 0.132 0.092 0.452
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0451 0.9301 0.004 0.988 0.000 0.000 0.008
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 4 0.2722 0.8093 0.000 0.000 0.020 0.872 0.108
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.7512 0.6621 0.368 0.012 0.144 0.048 0.428
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.2971 0.7938 0.836 0.008 0.000 0.000 0.156
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0693 0.8041 0.980 0.008 0.000 0.000 0.012
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.1831 0.8116 0.920 0.004 0.000 0.000 0.076
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.3366 0.7596 0.768 0.000 0.000 0.000 0.232
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.5115 0.3384 0.700 0.012 0.072 0.000 0.216
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0451 0.8031 0.988 0.008 0.000 0.000 0.004
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#> A782EE71-EDA4-4385-83B3-D16DE81296C0 4 0.5960 0.6484 0.004 0.000 0.212 0.608 0.176
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.2843 0.7963 0.848 0.008 0.000 0.000 0.144
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0992 0.8063 0.968 0.008 0.000 0.000 0.024
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0798 0.8036 0.976 0.008 0.000 0.000 0.016
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.7512 0.6621 0.368 0.012 0.144 0.048 0.428
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.6366 0.3068 0.124 0.556 0.020 0.000 0.300
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0579 0.8028 0.984 0.008 0.000 0.000 0.008
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.6369 -0.4286 0.504 0.012 0.124 0.000 0.360
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 4 0.5960 0.6484 0.004 0.000 0.212 0.608 0.176
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.2116 0.7703 0.912 0.008 0.004 0.000 0.076
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.3796 0.7106 0.700 0.000 0.000 0.000 0.300
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.3730 0.7201 0.712 0.000 0.000 0.000 0.288
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.5434 0.3888 0.496 0.048 0.004 0.000 0.452
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.1082 0.8068 0.964 0.008 0.000 0.000 0.028
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.3816 0.7088 0.696 0.000 0.000 0.000 0.304
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 5 0.7496 0.1202 0.060 0.004 0.164 0.308 0.464
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.1329 0.9101 0.008 0.956 0.004 0.000 0.032
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.1281 0.7965 0.956 0.012 0.000 0.000 0.032
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.5434 0.3888 0.496 0.048 0.004 0.000 0.452
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.8999 0.000 0.000 1.000 0.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.1082 0.9164 0.008 0.964 0.000 0.000 0.028
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0798 0.8036 0.976 0.008 0.000 0.000 0.016
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.6774 0.0139 0.208 0.468 0.004 0.004 0.316
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.3752 0.7159 0.708 0.000 0.000 0.000 0.292
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.3752 0.7193 0.708 0.000 0.000 0.000 0.292
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.3508 0.7530 0.748 0.000 0.000 0.000 0.252
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.3857 0.7044 0.688 0.000 0.000 0.000 0.312
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.4976 0.4124 0.728 0.012 0.088 0.000 0.172
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.2677 0.7217 0.872 0.016 0.000 0.000 0.112
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.1082 0.9164 0.008 0.964 0.000 0.000 0.028
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0579 0.8028 0.984 0.008 0.000 0.000 0.008
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0798 0.8061 0.976 0.008 0.000 0.000 0.016
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0579 0.8028 0.984 0.008 0.000 0.000 0.008
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.0898 0.8051 0.972 0.008 0.000 0.000 0.020
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.3774 0.7185 0.704 0.000 0.000 0.000 0.296
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.1018 0.8009 0.968 0.016 0.000 0.000 0.016
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.2648 0.7928 0.848 0.000 0.000 0.000 0.152
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.3612 0.7363 0.732 0.000 0.000 0.000 0.268
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0290 0.9322 0.000 0.992 0.000 0.000 0.008
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.1211 0.8009 0.960 0.016 0.000 0.000 0.024
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.3305 0.7606 0.776 0.000 0.000 0.000 0.224
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9352 0.000 1.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.3561 0.7412 0.740 0.000 0.000 0.000 0.260
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0665 0.9005 0.004 0.980 0.000 0.000 0.008 0.008
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.4076 0.3335 0.648 0.008 0.004 0.000 0.336 0.004
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0260 0.9104 0.000 0.992 0.000 0.000 0.000 0.008
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0665 0.9005 0.004 0.980 0.000 0.000 0.008 0.008
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.4096 0.5189 0.508 0.000 0.000 0.000 0.484 0.008
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9112 0.000 1.000 0.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.3991 0.5240 0.524 0.000 0.000 0.000 0.472 0.004
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0260 0.9104 0.000 0.992 0.000 0.000 0.000 0.008
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0436 0.9052 0.004 0.988 0.000 0.000 0.004 0.004
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.3851 0.5316 0.540 0.000 0.000 0.000 0.460 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.3742 0.5763 0.648 0.000 0.000 0.000 0.348 0.004
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0260 0.9104 0.000 0.992 0.000 0.000 0.000 0.008
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9112 0.000 1.000 0.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0363 0.9501 0.000 0.000 0.988 0.000 0.012 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1370 0.8720 0.004 0.948 0.000 0.000 0.036 0.012
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.3756 0.5673 0.600 0.000 0.000 0.000 0.400 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.3851 0.5323 0.540 0.000 0.000 0.000 0.460 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 5 0.6564 0.1200 0.076 0.008 0.044 0.168 0.620 0.084
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.1765 0.5450 0.904 0.000 0.000 0.000 0.096 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.2377 0.5411 0.868 0.000 0.004 0.000 0.124 0.004
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.4881 0.3849 0.008 0.684 0.000 0.000 0.152 0.156
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.1141 0.5311 0.948 0.000 0.000 0.000 0.052 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.3997 0.5195 0.508 0.000 0.000 0.000 0.488 0.004
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0363 0.9501 0.000 0.000 0.988 0.000 0.012 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0260 0.9104 0.000 0.992 0.000 0.000 0.000 0.008
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9112 0.000 1.000 0.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.2333 0.5426 0.872 0.000 0.004 0.000 0.120 0.004
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.3756 0.5673 0.600 0.000 0.000 0.000 0.400 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0964 0.4891 0.968 0.000 0.004 0.000 0.012 0.016
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0858 0.5112 0.968 0.000 0.004 0.000 0.028 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.3991 0.5240 0.524 0.000 0.000 0.000 0.472 0.004
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.3717 0.5666 0.616 0.000 0.000 0.000 0.384 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.1204 0.5327 0.944 0.000 0.000 0.000 0.056 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.1693 0.4629 0.932 0.000 0.004 0.000 0.044 0.020
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0260 0.9104 0.000 0.992 0.000 0.000 0.000 0.008
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.4734 0.1917 0.692 0.004 0.004 0.000 0.096 0.204
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.3664 0.6694 0.044 0.812 0.000 0.000 0.028 0.116
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.6633 -0.3105 0.036 0.448 0.004 0.000 0.204 0.308
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 2 0.6562 -0.3883 0.016 0.400 0.008 0.000 0.228 0.348
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.4222 0.5040 0.516 0.004 0.000 0.000 0.472 0.008
#> 177C7EF4-2D54-4555-947C-44EE7C688917 4 0.0458 0.7925 0.000 0.000 0.000 0.984 0.000 0.016
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0260 0.9104 0.000 0.992 0.000 0.000 0.000 0.008
#> 619F37D2-6771-4727-9079-56BED07F1CF6 6 0.3350 0.0308 0.036 0.028 0.008 0.000 0.080 0.848
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 5 0.6012 0.2598 0.068 0.008 0.040 0.092 0.680 0.112
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0436 0.9058 0.004 0.988 0.000 0.000 0.004 0.004
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0260 0.9104 0.000 0.992 0.000 0.000 0.000 0.008
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 4 0.2724 0.7872 0.000 0.000 0.000 0.864 0.084 0.052
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.5342 0.3718 0.076 0.008 0.044 0.048 0.736 0.088
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.3351 0.5721 0.712 0.000 0.000 0.000 0.288 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9112 0.000 1.000 0.000 0.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.3996 0.5235 0.512 0.000 0.000 0.000 0.484 0.004
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.3672 0.5770 0.632 0.000 0.000 0.000 0.368 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.2340 0.5474 0.852 0.000 0.000 0.000 0.148 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.4459 0.2288 0.288 0.004 0.008 0.000 0.668 0.032
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.3979 0.5321 0.540 0.000 0.000 0.000 0.456 0.004
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.3531 0.5766 0.672 0.000 0.000 0.000 0.328 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0363 0.9501 0.000 0.000 0.988 0.000 0.012 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.1059 0.4876 0.964 0.000 0.004 0.000 0.016 0.016
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.1059 0.4876 0.964 0.000 0.004 0.000 0.016 0.016
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0665 0.9005 0.004 0.980 0.000 0.000 0.008 0.008
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9112 0.000 1.000 0.000 0.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9112 0.000 1.000 0.000 0.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.3175 0.5683 0.744 0.000 0.000 0.000 0.256 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.3728 0.5782 0.652 0.000 0.000 0.000 0.344 0.004
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.3684 0.5712 0.628 0.000 0.000 0.000 0.372 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.4224 0.4999 0.512 0.004 0.000 0.000 0.476 0.008
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.4734 0.1917 0.692 0.004 0.004 0.000 0.096 0.204
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.3763 0.4524 0.140 0.008 0.012 0.000 0.800 0.040
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.2664 0.5241 0.848 0.000 0.000 0.000 0.136 0.016
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.3404 0.5578 0.760 0.000 0.000 0.000 0.224 0.016
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.3843 0.5385 0.548 0.000 0.000 0.000 0.452 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.4140 0.3487 0.220 0.004 0.008 0.000 0.732 0.036
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0665 0.9005 0.004 0.980 0.000 0.000 0.008 0.008
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9112 0.000 1.000 0.000 0.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.5876 0.1063 0.024 0.592 0.004 0.000 0.184 0.196
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9112 0.000 1.000 0.000 0.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 5 0.4484 -0.3820 0.460 0.008 0.000 0.000 0.516 0.016
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0363 0.9501 0.000 0.000 0.988 0.000 0.012 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0603 0.5113 0.980 0.000 0.000 0.000 0.016 0.004
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.3847 0.5352 0.544 0.000 0.000 0.000 0.456 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0146 0.9091 0.004 0.996 0.000 0.000 0.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.3997 0.5195 0.508 0.000 0.000 0.000 0.488 0.004
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.3659 0.5786 0.636 0.000 0.000 0.000 0.364 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.1657 0.4857 0.928 0.000 0.000 0.000 0.056 0.016
#> CD6F9E20-B301-4663-87EC-953EDF49754F 4 0.0291 0.7935 0.000 0.000 0.000 0.992 0.004 0.004
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.3997 0.5195 0.508 0.000 0.000 0.000 0.488 0.004
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.1053 0.4839 0.964 0.000 0.004 0.000 0.012 0.020
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0260 0.9104 0.000 0.992 0.000 0.000 0.000 0.008
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0260 0.9104 0.000 0.992 0.000 0.000 0.000 0.008
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.3175 0.5795 0.744 0.000 0.000 0.000 0.256 0.000
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#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.4096 0.5189 0.508 0.000 0.000 0.000 0.484 0.008
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 6 0.6954 0.5723 0.256 0.332 0.012 0.000 0.032 0.368
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0603 0.5112 0.980 0.000 0.000 0.000 0.016 0.004
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.1082 0.5135 0.956 0.000 0.004 0.000 0.040 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.2178 0.5438 0.868 0.000 0.000 0.000 0.132 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.1296 0.4817 0.952 0.000 0.004 0.000 0.032 0.012
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.4989 0.1599 0.316 0.008 0.016 0.000 0.620 0.040
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.4621 -0.3425 0.448 0.008 0.000 0.000 0.520 0.024
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0260 0.9104 0.000 0.992 0.000 0.000 0.000 0.008
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.1382 0.8729 0.008 0.948 0.000 0.000 0.008 0.036
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.3986 0.5266 0.532 0.000 0.000 0.000 0.464 0.004
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.3851 0.5325 0.540 0.000 0.000 0.000 0.460 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0146 0.9109 0.000 0.996 0.000 0.000 0.000 0.004
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0260 0.9104 0.000 0.992 0.000 0.000 0.000 0.008
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9112 0.000 1.000 0.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.3986 0.5266 0.532 0.000 0.000 0.000 0.464 0.004
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.3862 0.5255 0.524 0.000 0.000 0.000 0.476 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0260 0.9104 0.000 0.992 0.000 0.000 0.000 0.008
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0260 0.9104 0.000 0.992 0.000 0.000 0.000 0.008
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.1152 0.5114 0.952 0.000 0.004 0.000 0.044 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.4091 0.5102 0.520 0.008 0.000 0.000 0.472 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.3288 0.5715 0.724 0.000 0.000 0.000 0.276 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.1219 0.5214 0.948 0.000 0.004 0.000 0.048 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0291 0.9087 0.000 0.992 0.000 0.000 0.004 0.004
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.4095 0.5087 0.512 0.008 0.000 0.000 0.480 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.2048 0.5519 0.880 0.000 0.000 0.000 0.120 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9112 0.000 1.000 0.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1349 0.5250 0.940 0.000 0.004 0.000 0.056 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 17377 rows and 265 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.434 0.850 0.861 0.379 0.514 0.514
#> 3 3 0.982 0.939 0.947 0.477 0.922 0.849
#> 4 4 0.653 0.496 0.761 0.211 0.932 0.848
#> 5 5 0.654 0.496 0.699 0.112 0.807 0.534
#> 6 6 0.679 0.794 0.771 0.059 0.879 0.560
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.8909 0.8162 0.308 0.692
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.9807 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.8909 0.8162 0.308 0.692
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.8909 0.8162 0.308 0.692
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.9807 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.8909 0.8162 0.308 0.692
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.9807 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.8909 0.8162 0.308 0.692
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.7139 0.7412 0.196 0.804
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.9807 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.9807 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.8909 0.8162 0.308 0.692
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.8909 0.8162 0.308 0.692
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 2 0.9087 0.4724 0.324 0.676
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.8763 0.8101 0.296 0.704
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.9807 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.9807 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.9881 -0.1535 0.564 0.436
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.9807 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.9807 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.9815 0.6828 0.420 0.580
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.9807 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.9807 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 2 0.9087 0.4724 0.324 0.676
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.8909 0.8162 0.308 0.692
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.8909 0.8162 0.308 0.692
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.9807 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.9807 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.9807 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.9807 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.0000 0.9807 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.9807 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.9807 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.9807 1.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.8909 0.8162 0.308 0.692
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.9807 1.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.9881 0.6585 0.436 0.564
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.8909 0.8162 0.308 0.692
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.9358 -0.0683 0.648 0.352
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.9807 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.9087 0.4724 0.324 0.676
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.8909 0.8162 0.308 0.692
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.9896 0.4079 0.440 0.560
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.1633 0.9465 0.976 0.024
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.8909 0.8162 0.308 0.692
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.8909 0.8162 0.308 0.692
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.9087 0.4724 0.324 0.676
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.1843 0.9405 0.972 0.028
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.9807 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.8909 0.8162 0.308 0.692
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.9807 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.9807 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.9807 1.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.0000 0.9807 1.000 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.9807 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.9807 1.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 2 0.9087 0.4724 0.324 0.676
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.9807 1.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.9807 1.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.8909 0.8162 0.308 0.692
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.8909 0.8162 0.308 0.692
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.8909 0.8162 0.308 0.692
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.9807 1.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.9807 1.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.9807 1.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.0000 0.9807 1.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.9807 1.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.0000 0.9807 1.000 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.9807 1.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0000 0.9807 1.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.9807 1.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.0000 0.9807 1.000 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.8909 0.8162 0.308 0.692
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.8909 0.8162 0.308 0.692
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.9977 0.5933 0.472 0.528
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.8909 0.8162 0.308 0.692
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.0000 0.9807 1.000 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 2 0.9087 0.4724 0.324 0.676
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.9807 1.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.9807 1.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.8813 0.8125 0.300 0.700
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.0000 0.9807 1.000 0.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.9807 1.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.9807 1.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 2 0.9087 0.4724 0.324 0.676
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.0000 0.9807 1.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.9807 1.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.8909 0.8162 0.308 0.692
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.8909 0.8162 0.308 0.692
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.9807 1.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.9807 1.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.9807 1.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.7299 0.5585 0.796 0.204
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.8861 0.8143 0.304 0.696
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.0000 0.9807 1.000 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.0000 0.9807 1.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.9807 1.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.9807 1.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.9807 1.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0000 0.9807 1.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.9807 1.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.8909 0.8162 0.308 0.692
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 2 0.9087 0.4724 0.324 0.676
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.9807 1.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.8909 0.8162 0.308 0.692
#> 3F0865F1-8256-4778-966F-D53637B415B6 2 0.9087 0.4724 0.324 0.676
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 2 0.9087 0.4724 0.324 0.676
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0000 0.9807 1.000 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 2 0.9129 0.4659 0.328 0.672
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.9807 1.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.8909 0.8162 0.308 0.692
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0000 0.9807 1.000 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.0000 0.9807 1.000 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.9807 1.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 2 0.9087 0.4724 0.324 0.676
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.0000 0.9807 1.000 0.000
#> 7955FC55-386D-497E-AFED-019BBBAD428E 2 0.9087 0.4724 0.324 0.676
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.0000 0.9807 1.000 0.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0000 0.9807 1.000 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 2 0.9087 0.4724 0.324 0.676
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0000 0.9807 1.000 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.9807 1.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.9807 1.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.8909 0.8162 0.308 0.692
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 2 0.9909 0.2954 0.444 0.556
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.0000 0.9807 1.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.9807 1.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.8909 0.8162 0.308 0.692
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 1 0.9552 -0.1718 0.624 0.376
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.8909 0.8162 0.308 0.692
#> 0F1A5708-341E-4713-BC70-76D702F826D6 2 0.9552 0.7219 0.376 0.624
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.8909 0.8162 0.308 0.692
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.9807 1.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.8909 0.8162 0.308 0.692
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.8909 0.8162 0.308 0.692
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.9807 1.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.8909 0.8162 0.308 0.692
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.0000 0.9807 1.000 0.000
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.8909 0.8162 0.308 0.692
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 1 0.9248 0.0805 0.660 0.340
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 2 0.9087 0.4724 0.324 0.676
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.0000 0.9807 1.000 0.000
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.8813 0.8125 0.300 0.700
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.0000 0.9807 1.000 0.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.0000 0.9807 1.000 0.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.0000 0.9807 1.000 0.000
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.9807 1.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.0000 0.9807 1.000 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.9807 1.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0000 0.9807 1.000 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.0000 0.9807 1.000 0.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.9807 1.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.1184 0.9583 0.984 0.016
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.0000 0.9807 1.000 0.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.0000 0.9807 1.000 0.000
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.0000 0.9807 1.000 0.000
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.0000 0.9807 1.000 0.000
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0000 0.9807 1.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 2 0.9087 0.4724 0.324 0.676
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.0000 0.9807 1.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.8909 0.8162 0.308 0.692
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.8909 0.8162 0.308 0.692
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.9807 1.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 2 0.9087 0.4724 0.324 0.676
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.9807 1.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.9807 1.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.9807 1.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 2 0.9087 0.4724 0.324 0.676
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.8763 0.8101 0.296 0.704
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.8763 0.8101 0.296 0.704
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.0938 0.9640 0.988 0.012
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.0000 0.9807 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.8608 0.8025 0.284 0.716
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.9807 1.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.9807 1.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.8909 0.8162 0.308 0.692
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.9807 1.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.9988 0.5773 0.480 0.520
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.9807 1.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.8909 0.8162 0.308 0.692
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.8909 0.8162 0.308 0.692
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.1184 0.9583 0.984 0.016
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.8813 0.8125 0.300 0.700
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0000 0.9807 1.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.0000 0.9807 1.000 0.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 2 0.9087 0.4724 0.324 0.676
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.9807 1.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.0000 0.9807 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.8909 0.8162 0.308 0.692
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.8909 0.8162 0.308 0.692
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.0000 0.9807 1.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.9807 1.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.0000 0.9807 1.000 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.9807 1.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 2 0.9087 0.4724 0.324 0.676
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.8909 0.8162 0.308 0.692
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.8909 0.8162 0.308 0.692
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.9807 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 2 0.9552 0.3754 0.376 0.624
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 2 0.9087 0.4724 0.324 0.676
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0000 0.9807 1.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.0000 0.9807 1.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.8909 0.8162 0.308 0.692
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.9807 1.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.9087 0.4724 0.324 0.676
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.8909 0.8162 0.308 0.692
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.9807 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.8813 0.8125 0.300 0.700
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.9807 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.8909 0.8162 0.308 0.692
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 2 0.9087 0.4724 0.324 0.676
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.8909 0.8162 0.308 0.692
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.8909 0.8162 0.308 0.692
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.8909 0.8162 0.308 0.692
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.9807 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.9807 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0000 0.9807 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.1843 0.9405 0.972 0.028
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.6712 0.7269 0.176 0.824
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.9807 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.1184 0.9583 0.984 0.016
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 2 0.9087 0.4724 0.324 0.676
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.2948 0.9026 0.948 0.052
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.9807 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.9807 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.1843 0.9375 0.972 0.028
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.9807 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.9807 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.8909 0.8162 0.308 0.692
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.9129 0.4712 0.328 0.672
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.8813 0.8125 0.300 0.700
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0000 0.9807 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.8909 0.8162 0.308 0.692
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.9807 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.8909 0.8162 0.308 0.692
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 2 0.9087 0.4724 0.324 0.676
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.8909 0.8162 0.308 0.692
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.9807 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.9983 0.5855 0.476 0.524
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.9807 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.9807 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.9807 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.9807 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.9807 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.9807 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.8909 0.8162 0.308 0.692
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.8909 0.8162 0.308 0.692
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.9807 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.9807 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.8909 0.8162 0.308 0.692
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.8909 0.8162 0.308 0.692
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.8909 0.8162 0.308 0.692
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.9807 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.0000 0.9807 1.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.8909 0.8162 0.308 0.692
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.8909 0.8162 0.308 0.692
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9807 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0000 0.9807 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9807 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.9807 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.8909 0.8162 0.308 0.692
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.9807 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.9807 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.8909 0.8162 0.308 0.692
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9807 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.1905 0.9616 0.016 0.956 0.028
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.1289 0.9569 0.968 0.000 0.032
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0747 0.9703 0.016 0.984 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.1905 0.9616 0.016 0.956 0.028
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.1529 0.9545 0.960 0.000 0.040
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0747 0.9703 0.016 0.984 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.1163 0.9583 0.972 0.000 0.028
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0747 0.9703 0.016 0.984 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.1877 0.9584 0.012 0.956 0.032
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0747 0.9586 0.984 0.000 0.016
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0892 0.9583 0.980 0.000 0.020
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0747 0.9703 0.016 0.984 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0747 0.9703 0.016 0.984 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.4035 0.9666 0.040 0.080 0.880
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1905 0.9616 0.016 0.956 0.028
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.1643 0.9561 0.956 0.000 0.044
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0892 0.9583 0.980 0.000 0.020
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.6195 0.6619 0.276 0.020 0.704
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0592 0.9596 0.988 0.000 0.012
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.1411 0.9560 0.964 0.000 0.036
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#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0892 0.9583 0.980 0.000 0.020
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.4035 0.9666 0.040 0.080 0.880
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0747 0.9703 0.016 0.984 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0747 0.9703 0.016 0.984 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.1163 0.9583 0.972 0.000 0.028
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.3310 0.9270 0.064 0.028 0.908
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.3856 0.9670 0.040 0.072 0.888
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0892 0.9583 0.980 0.000 0.020
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.0892 0.9583 0.980 0.000 0.020
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0747 0.9703 0.016 0.984 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.1289 0.9569 0.968 0.000 0.032
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.3764 0.9659 0.040 0.068 0.892
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0747 0.9703 0.016 0.984 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.1163 0.9587 0.972 0.000 0.028
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.1905 0.9616 0.016 0.956 0.028
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.1289 0.9569 0.968 0.000 0.032
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0747 0.9703 0.016 0.984 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.3780 0.9635 0.044 0.064 0.892
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0747 0.9703 0.016 0.984 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0747 0.9703 0.016 0.984 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0747 0.9703 0.016 0.984 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.1289 0.9586 0.968 0.000 0.032
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0892 0.9583 0.980 0.000 0.020
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.1163 0.9583 0.972 0.000 0.028
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.5098 0.6773 0.752 0.000 0.248
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.1877 0.9584 0.012 0.956 0.032
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.1163 0.9583 0.972 0.000 0.028
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.2796 0.9000 0.908 0.000 0.092
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.3856 0.9670 0.040 0.072 0.888
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.5397 0.6356 0.720 0.000 0.280
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.1289 0.9569 0.968 0.000 0.032
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.1860 0.9513 0.948 0.000 0.052
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.1781 0.9526 0.960 0.020 0.020
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0892 0.9583 0.980 0.000 0.020
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.1753 0.9533 0.952 0.000 0.048
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0747 0.9703 0.016 0.984 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.3683 0.9639 0.044 0.060 0.896
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.1905 0.9616 0.016 0.956 0.028
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.1163 0.9583 0.972 0.000 0.028
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0747 0.9703 0.016 0.984 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.1289 0.9586 0.968 0.000 0.032
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0747 0.9703 0.016 0.984 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.3590 0.9542 0.028 0.076 0.896
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.1905 0.9616 0.016 0.956 0.028
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.1163 0.9583 0.972 0.000 0.028
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.6008 0.3586 0.372 0.628 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0892 0.9583 0.980 0.000 0.020
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.1411 0.9560 0.964 0.000 0.036
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.1163 0.9587 0.972 0.000 0.028
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.1289 0.9569 0.968 0.000 0.032
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0892 0.9583 0.980 0.000 0.020
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.1163 0.9583 0.972 0.000 0.028
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0747 0.9703 0.016 0.984 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.1905 0.9616 0.016 0.956 0.028
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.1163 0.9583 0.972 0.000 0.028
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0892 0.9583 0.980 0.000 0.020
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0747 0.9703 0.016 0.984 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0747 0.9703 0.016 0.984 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0747 0.9703 0.016 0.984 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.1163 0.9583 0.972 0.000 0.028
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.1163 0.9583 0.972 0.000 0.028
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0747 0.9703 0.016 0.984 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0747 0.9703 0.016 0.984 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.1289 0.9569 0.968 0.000 0.032
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0892 0.9583 0.980 0.000 0.020
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.1289 0.9572 0.968 0.000 0.032
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.1289 0.9569 0.968 0.000 0.032
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.1905 0.9616 0.016 0.956 0.028
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0892 0.9583 0.980 0.000 0.020
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.1643 0.9561 0.956 0.000 0.044
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0747 0.9703 0.016 0.984 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1289 0.9569 0.968 0.000 0.032
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.3945 0.8361 0.000 0.780 0.004 0.216
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.5125 -0.1305 0.604 0.000 0.008 0.388
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9029 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.3945 0.8361 0.000 0.780 0.004 0.216
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.5110 0.2610 0.636 0.000 0.012 0.352
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0376 0.9026 0.000 0.992 0.004 0.004
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.5018 0.2840 0.656 0.000 0.012 0.332
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9029 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.3945 0.8361 0.000 0.780 0.004 0.216
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.4393 1.000 0.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0469 0.4411 0.988 0.000 0.000 0.012
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9029 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0376 0.9026 0.000 0.992 0.004 0.004
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.2505 0.9568 0.008 0.020 0.920 0.052
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.3982 0.8358 0.000 0.776 0.004 0.220
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.5204 0.7122 0.376 0.000 0.012 0.612
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.4393 1.000 0.000 0.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.5884 0.1350 0.592 0.000 0.364 0.044
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.1867 0.3999 0.928 0.000 0.000 0.072
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.4746 -0.0629 0.688 0.000 0.008 0.304
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.7007 0.6270 0.176 0.596 0.004 0.224
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.5288 -0.4884 0.520 0.000 0.008 0.472
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.2216 0.4279 0.908 0.000 0.000 0.092
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.2505 0.9568 0.008 0.020 0.920 0.052
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9029 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0376 0.9026 0.000 0.992 0.004 0.004
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.5070 -0.1904 0.620 0.000 0.008 0.372
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.5038 0.2784 0.652 0.000 0.012 0.336
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.5099 -0.2069 0.612 0.000 0.008 0.380
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.5138 -0.2238 0.600 0.000 0.008 0.392
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.4999 0.2883 0.660 0.000 0.012 0.328
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.3444 0.2746 0.816 0.000 0.000 0.184
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.5085 -0.2029 0.616 0.000 0.008 0.376
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.5236 -0.3331 0.560 0.000 0.008 0.432
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0188 0.9027 0.000 0.996 0.000 0.004
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.5290 -0.3544 0.516 0.000 0.008 0.476
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.4163 0.8312 0.004 0.772 0.004 0.220
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.3710 0.8474 0.000 0.804 0.004 0.192
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 4 0.8573 0.1322 0.256 0.244 0.044 0.456
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.4978 0.2919 0.664 0.000 0.012 0.324
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.2057 0.9591 0.008 0.020 0.940 0.032
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9029 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.5591 0.8026 0.128 0.024 0.760 0.088
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.4300 0.3785 0.820 0.000 0.088 0.092
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.3945 0.8361 0.000 0.780 0.004 0.216
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9029 0.000 1.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.2057 0.9591 0.008 0.020 0.940 0.032
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.3486 0.3827 0.864 0.000 0.092 0.044
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.5406 -0.1943 0.508 0.000 0.012 0.480
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0376 0.9026 0.000 0.992 0.004 0.004
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.5093 0.2677 0.640 0.000 0.012 0.348
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.5038 0.2784 0.652 0.000 0.012 0.336
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.4393 1.000 0.000 0.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.1302 0.4363 0.956 0.000 0.000 0.044
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.5018 0.2840 0.656 0.000 0.012 0.332
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.2921 0.2754 0.860 0.000 0.000 0.140
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.2522 0.9562 0.012 0.016 0.920 0.052
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.5099 -0.2069 0.612 0.000 0.008 0.380
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.4917 -0.1200 0.656 0.000 0.008 0.336
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.3945 0.8361 0.000 0.780 0.004 0.216
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0188 0.9027 0.000 0.996 0.000 0.004
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0376 0.9026 0.000 0.992 0.004 0.004
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.2868 0.2732 0.864 0.000 0.000 0.136
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.5024 -0.1707 0.632 0.000 0.008 0.360
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.2868 0.2732 0.864 0.000 0.000 0.136
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.5110 0.2959 0.656 0.000 0.016 0.328
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.5292 -0.3598 0.512 0.000 0.008 0.480
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.2149 0.4387 0.912 0.000 0.000 0.088
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.4730 0.7748 0.364 0.000 0.000 0.636
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.4134 0.2228 0.740 0.000 0.000 0.260
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.4393 1.000 0.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.1302 0.4363 0.956 0.000 0.000 0.044
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.3982 0.8358 0.000 0.776 0.004 0.220
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0376 0.9026 0.000 0.992 0.004 0.004
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.7136 0.6010 0.188 0.580 0.004 0.228
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0188 0.9028 0.000 0.996 0.004 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.4891 0.3296 0.680 0.000 0.012 0.308
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.2505 0.9568 0.008 0.020 0.920 0.052
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.5288 -0.4884 0.520 0.000 0.008 0.472
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0336 0.4407 0.992 0.000 0.000 0.008
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.3945 0.8361 0.000 0.780 0.004 0.216
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.5038 0.2823 0.652 0.000 0.012 0.336
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.5038 0.2784 0.652 0.000 0.012 0.336
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 4 0.5236 0.7009 0.432 0.000 0.008 0.560
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.2057 0.9591 0.008 0.020 0.940 0.032
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.5406 -0.1991 0.508 0.000 0.012 0.480
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.5099 -0.2069 0.612 0.000 0.008 0.380
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9029 0.000 1.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9029 0.000 1.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.5093 0.2560 0.640 0.000 0.012 0.348
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 4 0.5112 0.7859 0.384 0.000 0.008 0.608
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.3688 0.1384 0.792 0.000 0.000 0.208
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#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9029 0.000 1.000 0.000 0.000
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#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.4897 -0.1127 0.660 0.000 0.008 0.332
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0817 0.4436 0.976 0.000 0.000 0.024
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.4164 0.0465 0.736 0.000 0.000 0.264
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.5112 -0.1944 0.608 0.000 0.008 0.384
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.3972 0.8416 0.000 0.788 0.008 0.204
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0707 0.4427 0.980 0.000 0.000 0.020
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4877 0.7777 0.408 0.000 0.000 0.592
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0376 0.9026 0.000 0.992 0.004 0.004
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.5099 -0.2069 0.612 0.000 0.008 0.380
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.4713 0.263 0.676 0.000 0.000 0.044 0.280
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.6582 -0.825 0.416 0.000 0.000 0.376 0.208
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.2329 0.882 0.124 0.000 0.000 0.000 0.876
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.2230 0.885 0.116 0.000 0.000 0.000 0.884
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.2116 0.937 0.000 0.004 0.912 0.076 0.008
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0162 0.694 0.000 0.996 0.000 0.004 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.4709 -0.338 0.612 0.000 0.000 0.364 0.024
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.2329 0.882 0.124 0.000 0.000 0.000 0.876
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 5 0.4473 0.683 0.024 0.000 0.160 0.044 0.772
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.3039 0.810 0.192 0.000 0.000 0.000 0.808
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.3876 0.229 0.684 0.000 0.000 0.000 0.316
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.1168 0.664 0.000 0.960 0.000 0.032 0.008
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.2690 0.423 0.844 0.000 0.000 0.000 0.156
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.3953 0.796 0.168 0.000 0.000 0.048 0.784
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.2116 0.937 0.000 0.004 0.912 0.076 0.008
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.3534 0.335 0.744 0.000 0.000 0.000 0.256
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.6553 -0.794 0.432 0.000 0.000 0.364 0.204
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.3607 0.348 0.752 0.000 0.004 0.000 0.244
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.3395 0.354 0.764 0.000 0.000 0.000 0.236
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.6667 -0.833 0.404 0.000 0.000 0.364 0.232
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.2813 0.806 0.168 0.000 0.000 0.000 0.832
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.3424 0.353 0.760 0.000 0.000 0.000 0.240
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.4031 0.402 0.788 0.000 0.004 0.048 0.160
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.4917 0.821 0.000 0.556 0.000 0.416 0.028
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.4627 0.386 0.732 0.000 0.000 0.080 0.188
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0451 0.686 0.004 0.988 0.000 0.008 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.1485 0.708 0.000 0.948 0.000 0.032 0.020
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.7340 0.166 0.476 0.332 0.012 0.044 0.136
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.6680 -0.837 0.400 0.000 0.000 0.364 0.236
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.1026 0.944 0.000 0.004 0.968 0.024 0.004
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.5838 0.782 0.020 0.120 0.716 0.044 0.100
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 5 0.3720 0.798 0.072 0.000 0.040 0.044 0.844
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.1026 0.944 0.000 0.004 0.968 0.024 0.004
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.3068 0.840 0.056 0.000 0.028 0.036 0.880
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.5952 -0.591 0.480 0.000 0.000 0.412 0.108
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.6584 0.845 0.380 0.000 0.000 0.412 0.208
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.6553 -0.794 0.432 0.000 0.000 0.364 0.204
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.2329 0.882 0.124 0.000 0.000 0.000 0.876
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.1671 0.882 0.076 0.000 0.000 0.000 0.924
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.2966 0.827 0.184 0.000 0.000 0.000 0.816
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.2116 0.937 0.000 0.004 0.912 0.076 0.008
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.3607 0.348 0.752 0.000 0.004 0.000 0.244
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.3684 0.295 0.720 0.000 0.000 0.000 0.280
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.4848 0.821 0.000 0.556 0.000 0.420 0.024
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 5 0.3003 0.824 0.188 0.000 0.000 0.000 0.812
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.4074 0.150 0.636 0.000 0.000 0.000 0.364
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.3039 0.819 0.192 0.000 0.000 0.000 0.808
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.6719 0.860 0.372 0.000 0.000 0.380 0.248
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.4541 0.392 0.744 0.000 0.000 0.084 0.172
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.3164 0.830 0.104 0.000 0.000 0.044 0.852
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.3706 0.153 0.756 0.000 0.004 0.236 0.004
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.6463 -0.431 0.464 0.000 0.000 0.192 0.344
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.2329 0.882 0.124 0.000 0.000 0.000 0.876
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.2616 0.863 0.076 0.000 0.000 0.036 0.888
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0162 0.694 0.000 0.996 0.000 0.004 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.1644 0.645 0.004 0.940 0.000 0.048 0.008
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.5255 0.820 0.000 0.560 0.000 0.388 0.052
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.6760 0.777 0.284 0.000 0.000 0.400 0.316
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.2116 0.937 0.000 0.004 0.912 0.076 0.008
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.2690 0.423 0.844 0.000 0.000 0.000 0.156
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.2179 0.886 0.112 0.000 0.000 0.000 0.888
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.6661 0.852 0.356 0.000 0.000 0.412 0.232
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.2464 0.397 0.904 0.000 0.004 0.048 0.044
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.1026 0.944 0.000 0.004 0.968 0.024 0.004
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.5628 -0.385 0.556 0.000 0.004 0.368 0.072
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.3424 0.353 0.760 0.000 0.000 0.000 0.240
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.6553 -0.794 0.432 0.000 0.000 0.364 0.204
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0960 0.353 0.972 0.000 0.004 0.016 0.008
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.3395 0.753 0.236 0.000 0.000 0.000 0.764
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 5 0.3221 0.835 0.056 0.000 0.028 0.044 0.872
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.6752 0.850 0.316 0.000 0.000 0.404 0.280
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.5056 -0.329 0.620 0.000 0.004 0.336 0.040
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.1630 0.377 0.944 0.000 0.004 0.016 0.036
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 5 0.3274 0.782 0.220 0.000 0.000 0.000 0.780
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.3452 0.348 0.756 0.000 0.000 0.000 0.244
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.2329 0.882 0.124 0.000 0.000 0.000 0.876
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.1026 0.944 0.000 0.004 0.968 0.024 0.004
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.6553 -0.794 0.432 0.000 0.000 0.364 0.204
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.2157 0.928 0.000 0.004 0.920 0.040 0.036
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.2237 0.927 0.000 0.004 0.916 0.040 0.040
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.4743 -0.246 0.640 0.000 0.004 0.332 0.024
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.2536 0.919 0.000 0.004 0.900 0.044 0.052
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.3424 0.353 0.760 0.000 0.000 0.000 0.240
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.4403 0.399 0.772 0.000 0.004 0.092 0.132
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.6584 0.845 0.380 0.000 0.000 0.412 0.208
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.2464 0.922 0.000 0.004 0.904 0.044 0.048
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 5 0.2852 0.834 0.172 0.000 0.000 0.000 0.828
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.2166 0.937 0.000 0.004 0.912 0.072 0.012
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 4 0.6738 0.867 0.364 0.000 0.000 0.380 0.256
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 5 0.3437 0.862 0.120 0.000 0.000 0.048 0.832
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.1026 0.944 0.000 0.004 0.968 0.024 0.004
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 5 0.2179 0.886 0.112 0.000 0.000 0.000 0.888
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.6553 -0.794 0.432 0.000 0.000 0.364 0.204
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 5 0.2329 0.882 0.124 0.000 0.000 0.000 0.876
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.3960 0.812 0.008 0.000 0.800 0.044 0.148
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.1798 0.359 0.928 0.000 0.004 0.064 0.004
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.3254 0.588 0.020 0.868 0.000 0.052 0.060
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> 0F1A5708-341E-4713-BC70-76D702F826D6 2 0.2975 0.580 0.000 0.884 0.020 0.048 0.048
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0880 0.706 0.000 0.968 0.000 0.032 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.2605 0.428 0.852 0.000 0.000 0.000 0.148
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.4848 0.821 0.000 0.556 0.000 0.420 0.024
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 5 0.1671 0.882 0.076 0.000 0.000 0.000 0.924
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> 4780A59C-0589-4995-B044-3201F09AF859 5 0.1830 0.877 0.068 0.000 0.008 0.000 0.924
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.4268 0.822 0.000 0.556 0.000 0.444 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 5 0.6384 0.574 0.064 0.036 0.188 0.048 0.664
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.1026 0.944 0.000 0.004 0.968 0.024 0.004
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 5 0.2648 0.858 0.152 0.000 0.000 0.000 0.848
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 4 0.6584 0.845 0.380 0.000 0.000 0.412 0.208
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.6667 -0.833 0.404 0.000 0.000 0.364 0.232
#> 0E22B729-C381-4B0C-9897-62DD38F51722 5 0.2929 0.820 0.180 0.000 0.000 0.000 0.820
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.6041 -0.615 0.516 0.000 0.000 0.356 0.128
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 5 0.2280 0.884 0.120 0.000 0.000 0.000 0.880
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.3424 0.353 0.760 0.000 0.000 0.000 0.240
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.6671 -0.845 0.396 0.000 0.000 0.372 0.232
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.3424 0.353 0.760 0.000 0.000 0.000 0.240
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 5 0.3068 0.840 0.056 0.000 0.028 0.036 0.880
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 5 0.6403 -0.323 0.256 0.000 0.000 0.232 0.512
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 5 0.2605 0.862 0.148 0.000 0.000 0.000 0.852
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 5 0.1671 0.881 0.076 0.000 0.000 0.000 0.924
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.1372 0.367 0.956 0.000 0.004 0.016 0.024
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.2166 0.937 0.000 0.004 0.912 0.072 0.012
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 5 0.3424 0.765 0.240 0.000 0.000 0.000 0.760
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.2166 0.937 0.000 0.004 0.912 0.072 0.012
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 5 0.2377 0.880 0.128 0.000 0.000 0.000 0.872
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.5838 -0.447 0.552 0.000 0.000 0.336 0.112
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 5 0.1671 0.882 0.076 0.000 0.000 0.000 0.924
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.1026 0.944 0.000 0.004 0.968 0.024 0.004
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0162 0.694 0.000 0.996 0.000 0.004 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0162 0.694 0.000 0.996 0.000 0.004 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 4 0.7063 0.817 0.288 0.000 0.012 0.408 0.292
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.6584 0.845 0.380 0.000 0.000 0.412 0.208
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.6661 -0.598 0.412 0.000 0.000 0.356 0.232
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.4495 0.315 0.712 0.000 0.000 0.044 0.244
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.4111 0.389 0.016 0.756 0.000 0.216 0.012
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.3790 0.322 0.724 0.000 0.000 0.004 0.272
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0162 0.694 0.000 0.996 0.000 0.004 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.2976 0.847 0.064 0.000 0.012 0.044 0.880
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.6584 0.845 0.380 0.000 0.000 0.412 0.208
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 5 0.4010 0.762 0.116 0.000 0.000 0.088 0.796
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.2116 0.937 0.000 0.004 0.912 0.076 0.008
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.1074 0.364 0.968 0.000 0.004 0.012 0.016
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.4249 0.822 0.000 0.568 0.000 0.432 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.1671 0.882 0.076 0.000 0.000 0.000 0.924
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.3365 0.136 0.808 0.000 0.004 0.180 0.008
#> C3921A29-80FF-4B9D-B366-5C0238A42231 4 0.6882 0.852 0.316 0.000 0.004 0.404 0.276
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.2719 0.431 0.852 0.000 0.004 0.000 0.144
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.2166 0.937 0.000 0.004 0.912 0.072 0.012
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.2992 0.911 0.000 0.000 0.868 0.068 0.064
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.1026 0.944 0.000 0.004 0.968 0.024 0.004
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.2775 0.856 0.068 0.000 0.008 0.036 0.888
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.2280 0.882 0.120 0.000 0.000 0.000 0.880
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.3424 0.353 0.760 0.000 0.000 0.000 0.240
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.2949 0.918 0.000 0.004 0.876 0.068 0.052
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.6515 -0.786 0.440 0.000 0.000 0.364 0.196
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.3424 0.353 0.760 0.000 0.000 0.000 0.240
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.1026 0.944 0.000 0.004 0.968 0.024 0.004
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.4268 0.822 0.000 0.556 0.000 0.444 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.6218 -0.687 0.488 0.000 0.000 0.364 0.148
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.2179 0.886 0.112 0.000 0.000 0.000 0.888
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.3068 0.840 0.056 0.000 0.028 0.036 0.880
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0290 0.691 0.000 0.992 0.000 0.008 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.2775 0.856 0.068 0.000 0.008 0.036 0.888
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.1026 0.944 0.000 0.004 0.968 0.024 0.004
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.7322 0.826 0.312 0.000 0.028 0.404 0.256
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.3424 0.353 0.760 0.000 0.000 0.000 0.240
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.2813 0.370 0.880 0.000 0.004 0.084 0.032
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.5105 0.388 0.716 0.016 0.000 0.080 0.188
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.1792 0.884 0.084 0.000 0.000 0.000 0.916
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.1646 0.376 0.944 0.000 0.004 0.020 0.032
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.2536 0.919 0.000 0.004 0.900 0.044 0.052
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0162 0.694 0.000 0.996 0.000 0.004 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.6728 0.866 0.368 0.000 0.000 0.380 0.252
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.5237 0.302 0.684 0.000 0.000 0.160 0.156
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.2116 0.937 0.000 0.004 0.912 0.076 0.008
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.7327 0.594 0.228 0.456 0.000 0.276 0.040
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.2690 0.423 0.844 0.000 0.000 0.000 0.156
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.3837 0.241 0.692 0.000 0.000 0.000 0.308
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.6553 -0.794 0.432 0.000 0.000 0.364 0.204
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.3424 0.353 0.760 0.000 0.000 0.000 0.240
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.1671 0.882 0.076 0.000 0.000 0.000 0.924
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.6757 0.842 0.320 0.000 0.000 0.400 0.280
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.694 0.000 1.000 0.000 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.2329 0.882 0.124 0.000 0.000 0.000 0.876
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.4982 0.821 0.000 0.556 0.000 0.412 0.032
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.6589 -0.803 0.424 0.000 0.000 0.364 0.212
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.6705 -0.842 0.392 0.000 0.000 0.364 0.244
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.4262 0.822 0.000 0.560 0.000 0.440 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.3661 0.296 0.724 0.000 0.000 0.000 0.276
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.2179 0.885 0.112 0.000 0.000 0.000 0.888
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.3684 0.673 0.280 0.000 0.000 0.000 0.720
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.3635 0.340 0.748 0.000 0.000 0.004 0.248
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.1310 0.705 0.000 0.956 0.000 0.020 0.024
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.2329 0.880 0.124 0.000 0.000 0.000 0.876
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.3795 0.152 0.780 0.000 0.000 0.192 0.028
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.5313 0.819 0.000 0.556 0.000 0.388 0.056
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.3424 0.353 0.760 0.000 0.000 0.000 0.240
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 6 0.3915 0.827 0.000 0.412 0.000 0.000 0.004 0.584
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.4485 0.760 0.740 0.000 0.000 0.056 0.168 0.036
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.880 0.000 1.000 0.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 6 0.3915 0.827 0.000 0.412 0.000 0.000 0.004 0.584
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.1565 0.862 0.028 0.000 0.000 0.940 0.004 0.028
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.3155 0.845 0.088 0.840 0.000 0.000 0.068 0.004
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0777 0.871 0.000 0.000 0.000 0.972 0.004 0.024
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0146 0.880 0.000 0.996 0.000 0.000 0.000 0.004
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 6 0.3915 0.827 0.000 0.412 0.000 0.000 0.004 0.584
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.2909 0.873 0.012 0.000 0.000 0.156 0.828 0.004
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.2692 0.876 0.012 0.000 0.000 0.148 0.840 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.880 0.000 1.000 0.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.3210 0.843 0.088 0.836 0.000 0.000 0.072 0.004
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.3550 0.857 0.044 0.000 0.816 0.000 0.020 0.120
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 6 0.3446 0.799 0.000 0.308 0.000 0.000 0.000 0.692
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.2250 0.785 0.092 0.000 0.000 0.888 0.000 0.020
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.2768 0.874 0.012 0.000 0.000 0.156 0.832 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 5 0.6670 0.655 0.056 0.000 0.084 0.092 0.600 0.168
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.4064 0.772 0.040 0.000 0.000 0.236 0.720 0.004
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.4628 0.707 0.632 0.000 0.000 0.052 0.312 0.004
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.3629 0.766 0.000 0.260 0.000 0.016 0.000 0.724
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.5020 0.831 0.680 0.000 0.000 0.168 0.136 0.016
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.4562 0.800 0.096 0.000 0.000 0.172 0.720 0.012
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.3550 0.857 0.044 0.000 0.816 0.000 0.020 0.120
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.880 0.000 1.000 0.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.3210 0.843 0.088 0.836 0.000 0.000 0.072 0.004
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.4638 0.811 0.672 0.000 0.000 0.096 0.232 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0291 0.872 0.004 0.000 0.000 0.992 0.000 0.004
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.4694 0.826 0.684 0.000 0.000 0.100 0.212 0.004
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.4497 0.834 0.712 0.000 0.000 0.100 0.184 0.004
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#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.4368 0.824 0.708 0.000 0.000 0.088 0.204 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 6 0.3878 0.802 0.004 0.320 0.000 0.000 0.008 0.668
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.880 0.000 1.000 0.000 0.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.6019 0.711 0.068 0.000 0.012 0.116 0.632 0.172
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 6 0.3915 0.827 0.000 0.412 0.000 0.000 0.004 0.584
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.2182 0.843 0.076 0.000 0.000 0.900 0.004 0.020
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 5 0.6268 0.626 0.068 0.000 0.000 0.240 0.556 0.136
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.3550 0.857 0.044 0.000 0.816 0.000 0.020 0.120
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.4088 0.672 0.668 0.000 0.000 0.308 0.004 0.020
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.0777 0.871 0.000 0.000 0.000 0.972 0.004 0.024
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.3155 0.845 0.088 0.840 0.000 0.000 0.068 0.004
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.1921 0.794 0.012 0.920 0.000 0.000 0.012 0.056
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.2191 0.869 0.000 0.000 0.000 0.120 0.876 0.004
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.4153 0.251 0.340 0.000 0.000 0.636 0.000 0.024
#> C3921A29-80FF-4B9D-B366-5C0238A42231 4 0.4211 0.736 0.056 0.000 0.000 0.776 0.044 0.124
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.4857 0.825 0.684 0.000 0.000 0.180 0.128 0.008
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.3550 0.857 0.044 0.000 0.816 0.000 0.020 0.120
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0146 0.877 0.004 0.996 0.000 0.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0146 0.880 0.000 0.996 0.000 0.000 0.000 0.004
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0909 0.871 0.012 0.000 0.000 0.968 0.000 0.020
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.5046 0.766 0.060 0.000 0.700 0.000 0.068 0.172
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0881 0.870 0.008 0.000 0.972 0.000 0.008 0.012
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.5030 0.784 0.056 0.000 0.008 0.112 0.728 0.096
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.2730 0.876 0.012 0.000 0.000 0.152 0.836 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.880 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.4556 0.836 0.696 0.000 0.000 0.116 0.188 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.4907 0.772 0.060 0.000 0.712 0.000 0.060 0.168
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.880 0.000 1.000 0.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.0508 0.872 0.004 0.000 0.000 0.984 0.000 0.012
#> 7A110994-5741-4013-91F0-DD2E1D343F91 6 0.3915 0.827 0.000 0.412 0.000 0.000 0.004 0.584
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.4545 0.835 0.696 0.000 0.000 0.112 0.192 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.3210 0.843 0.088 0.836 0.000 0.000 0.072 0.004
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0881 0.870 0.008 0.000 0.972 0.000 0.008 0.012
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0146 0.877 0.004 0.996 0.000 0.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0146 0.880 0.000 0.996 0.000 0.000 0.000 0.004
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.880 0.000 1.000 0.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.1856 0.838 0.048 0.000 0.000 0.920 0.000 0.032
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.2730 0.875 0.012 0.000 0.000 0.152 0.836 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0820 0.873 0.012 0.000 0.000 0.972 0.000 0.016
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.5214 0.779 0.056 0.000 0.016 0.112 0.720 0.096
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 6 0.3714 0.762 0.008 0.264 0.000 0.000 0.008 0.720
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0405 0.873 0.004 0.000 0.000 0.988 0.000 0.008
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.4782 0.798 0.056 0.000 0.012 0.112 0.752 0.068
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0881 0.870 0.008 0.000 0.972 0.000 0.008 0.012
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.3492 0.792 0.052 0.000 0.008 0.844 0.040 0.056
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.4532 0.833 0.696 0.000 0.000 0.108 0.196 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.4614 0.607 0.660 0.000 0.000 0.284 0.016 0.040
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.6645 0.580 0.540 0.000 0.000 0.176 0.124 0.160
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.2402 0.871 0.012 0.000 0.000 0.120 0.868 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.4327 0.676 0.676 0.000 0.000 0.284 0.012 0.028
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.880 0.000 1.000 0.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.5224 0.734 0.064 0.000 0.676 0.000 0.064 0.196
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.3446 0.799 0.000 0.308 0.000 0.000 0.000 0.692
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.2463 0.837 0.020 0.000 0.000 0.892 0.020 0.068
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.3210 0.843 0.088 0.836 0.000 0.000 0.072 0.004
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.6935 0.255 0.416 0.000 0.000 0.336 0.096 0.152
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.880 0.000 1.000 0.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.3550 0.857 0.044 0.000 0.816 0.000 0.020 0.120
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 6 0.3915 0.827 0.000 0.412 0.000 0.000 0.004 0.584
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0909 0.871 0.012 0.000 0.000 0.968 0.000 0.020
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.6168 0.195 0.224 0.588 0.000 0.012 0.044 0.132
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.5020 0.831 0.680 0.000 0.000 0.168 0.136 0.016
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.4617 0.746 0.652 0.000 0.000 0.060 0.284 0.004
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.0603 0.873 0.004 0.000 0.000 0.980 0.000 0.016
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.4852 0.837 0.696 0.000 0.000 0.112 0.176 0.016
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.2302 0.868 0.000 0.000 0.000 0.120 0.872 0.008
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.4911 0.675 0.076 0.000 0.000 0.712 0.048 0.164
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.880 0.000 1.000 0.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 6 0.3915 0.827 0.000 0.412 0.000 0.000 0.004 0.584
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0405 0.873 0.004 0.000 0.000 0.988 0.000 0.008
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.2909 0.873 0.012 0.000 0.000 0.156 0.828 0.004
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.2340 0.863 0.044 0.896 0.000 0.000 0.056 0.004
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.880 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.3210 0.843 0.088 0.836 0.000 0.000 0.072 0.004
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0260 0.873 0.000 0.000 0.000 0.992 0.000 0.008
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.1088 0.868 0.000 0.000 0.000 0.960 0.016 0.024
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.880 0.000 1.000 0.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.880 0.000 1.000 0.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.4565 0.791 0.680 0.000 0.000 0.072 0.244 0.004
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.2613 0.876 0.012 0.000 0.000 0.140 0.848 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.3462 0.775 0.100 0.000 0.000 0.080 0.816 0.004
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.4718 0.835 0.696 0.000 0.000 0.108 0.188 0.008
#> AAD9685A-564B-42E9-91E3-431951154BA7 6 0.5606 0.691 0.040 0.412 0.000 0.000 0.056 0.492
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.2805 0.873 0.012 0.000 0.000 0.160 0.828 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4350 0.273 0.328 0.000 0.000 0.640 0.008 0.024
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.3210 0.843 0.088 0.836 0.000 0.000 0.072 0.004
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.4800 0.836 0.688 0.000 0.000 0.116 0.188 0.008
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17377 rows and 265 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 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 0.986 0.994 0.4931 0.507 0.507
#> 3 3 0.945 0.936 0.972 0.2974 0.806 0.635
#> 4 4 0.915 0.865 0.942 0.1627 0.850 0.610
#> 5 5 0.851 0.878 0.917 0.0616 0.897 0.638
#> 6 6 0.898 0.893 0.918 0.0460 0.953 0.779
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.991 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.997 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.991 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.991 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.997 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.991 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.997 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.991 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.991 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.997 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.997 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.991 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.991 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 2 0.0000 0.991 0.000 1.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.991 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.997 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.997 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 2 0.2948 0.940 0.052 0.948
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.997 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.997 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.0000 0.991 0.000 1.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.997 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.997 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 2 0.0000 0.991 0.000 1.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.991 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.991 0.000 1.000
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#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0000 0.997 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.997 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.997 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 2 0.8443 0.628 0.272 0.728
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.997 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.997 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.991 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.0000 0.991 0.000 1.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.991 0.000 1.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0000 0.997 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.991 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.997 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.991 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 2 0.0000 0.991 0.000 1.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.991 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.997 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0000 0.991 0.000 1.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.997 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.997 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.997 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.997 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.997 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.997 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.991 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.991 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.997 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.997 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.991 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.991 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.991 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.997 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.0000 0.997 1.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.991 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.991 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.997 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0000 0.997 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.997 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.997 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.991 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.997 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.997 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.991 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.997 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 1.000 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.4974 0.689 0.764 0.000 0.236
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 1.000 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 1.000 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.964 1.000 0.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 1.000 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.964 1.000 0.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 1.000 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 1.000 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0237 0.964 0.996 0.000 0.004
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0237 0.964 0.996 0.000 0.004
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 1.000 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 1.000 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0237 0.942 0.000 0.004 0.996
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 1.000 0.000 1.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.964 1.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0237 0.964 0.996 0.000 0.004
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.941 0.000 0.000 1.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0237 0.964 0.996 0.000 0.004
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0237 0.964 0.996 0.000 0.004
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.0000 1.000 0.000 1.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.964 1.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0237 0.964 0.996 0.000 0.004
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0237 0.942 0.000 0.004 0.996
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 1.000 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 1.000 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0237 0.964 0.996 0.000 0.004
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.964 1.000 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0237 0.964 0.996 0.000 0.004
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0237 0.964 0.996 0.000 0.004
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.2878 0.874 0.904 0.000 0.096
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0237 0.964 0.996 0.000 0.004
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0237 0.964 0.996 0.000 0.004
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0237 0.964 0.996 0.000 0.004
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 1.000 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.6126 0.326 0.600 0.000 0.400
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 1.000 0.000 1.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 1.000 0.000 1.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 3 0.0237 0.942 0.000 0.004 0.996
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.964 1.000 0.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0237 0.942 0.000 0.004 0.996
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 1.000 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.0237 0.942 0.000 0.004 0.996
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0000 0.941 0.000 0.000 1.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 1.000 0.000 1.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 1.000 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0237 0.942 0.000 0.004 0.996
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.0000 0.941 0.000 0.000 1.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.964 1.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 1.000 0.000 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.964 1.000 0.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.964 1.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0237 0.964 0.996 0.000 0.004
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.4555 0.746 0.200 0.000 0.800
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.964 1.000 0.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0237 0.964 0.996 0.000 0.004
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0237 0.942 0.000 0.004 0.996
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0237 0.964 0.996 0.000 0.004
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0237 0.964 0.996 0.000 0.004
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 1.000 0.000 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 1.000 0.000 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 1.000 0.000 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0237 0.964 0.996 0.000 0.004
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0237 0.964 0.996 0.000 0.004
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0237 0.964 0.996 0.000 0.004
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.6126 0.372 0.400 0.000 0.600
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.4842 0.702 0.776 0.000 0.224
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.0000 0.941 0.000 0.000 1.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.964 1.000 0.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0000 0.964 1.000 0.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0237 0.964 0.996 0.000 0.004
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 3 0.0000 0.941 0.000 0.000 1.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 1.000 0.000 1.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 1.000 0.000 1.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 1.000 0.000 1.000 0.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 1.000 0.000 1.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.5988 0.413 0.632 0.000 0.368
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0237 0.942 0.000 0.004 0.996
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.964 1.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0237 0.964 0.996 0.000 0.004
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 1.000 0.000 1.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 3 0.5431 0.627 0.284 0.000 0.716
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.964 1.000 0.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.964 1.000 0.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0237 0.942 0.000 0.004 0.996
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.0000 0.964 1.000 0.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0237 0.964 0.996 0.000 0.004
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 1.000 0.000 1.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 1.000 0.000 1.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.964 1.000 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.964 1.000 0.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0237 0.964 0.996 0.000 0.004
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.0000 0.941 0.000 0.000 1.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 1.000 0.000 1.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 3 0.0237 0.941 0.004 0.000 0.996
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.0000 0.964 1.000 0.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.964 1.000 0.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.964 1.000 0.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0237 0.964 0.996 0.000 0.004
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0237 0.964 0.996 0.000 0.004
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0237 0.964 0.996 0.000 0.004
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 1.000 0.000 1.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0237 0.942 0.000 0.004 0.996
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.964 1.000 0.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 1.000 0.000 1.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0237 0.942 0.000 0.004 0.996
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0237 0.942 0.000 0.004 0.996
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0000 0.964 1.000 0.000 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0237 0.942 0.000 0.004 0.996
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0237 0.964 0.996 0.000 0.004
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 1.000 0.000 1.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.5431 0.604 0.716 0.000 0.284
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.3116 0.860 0.892 0.000 0.108
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.964 1.000 0.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0237 0.942 0.000 0.004 0.996
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.1031 0.948 0.976 0.000 0.024
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0237 0.942 0.000 0.004 0.996
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.5016 0.696 0.240 0.000 0.760
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0237 0.964 0.996 0.000 0.004
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.0237 0.942 0.000 0.004 0.996
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0237 0.964 0.996 0.000 0.004
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.964 1.000 0.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0237 0.964 0.996 0.000 0.004
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 1.000 0.000 1.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0000 0.941 0.000 0.000 1.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.0000 0.964 1.000 0.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.964 1.000 0.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 1.000 0.000 1.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.0592 0.988 0.000 0.988 0.012
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 1.000 0.000 1.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.2448 0.878 0.000 0.076 0.924
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 1.000 0.000 1.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.964 1.000 0.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 1.000 0.000 1.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 1.000 0.000 1.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.2165 0.911 0.936 0.000 0.064
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 1.000 0.000 1.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 3 0.1411 0.916 0.036 0.000 0.964
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 1.000 0.000 1.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.0000 0.941 0.000 0.000 1.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0237 0.942 0.000 0.004 0.996
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.0237 0.964 0.996 0.000 0.004
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 1.000 0.000 1.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.0000 0.964 1.000 0.000 0.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.3752 0.817 0.856 0.000 0.144
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.0237 0.964 0.996 0.000 0.004
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.964 1.000 0.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.0000 0.964 1.000 0.000 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0237 0.964 0.996 0.000 0.004
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0237 0.964 0.996 0.000 0.004
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.6225 0.203 0.568 0.000 0.432
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0237 0.964 0.996 0.000 0.004
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 3 0.0000 0.941 0.000 0.000 1.000
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.0000 0.964 1.000 0.000 0.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 3 0.0237 0.941 0.004 0.000 0.996
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.0237 0.964 0.996 0.000 0.004
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 3 0.5706 0.563 0.320 0.000 0.680
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0000 0.964 1.000 0.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0237 0.942 0.000 0.004 0.996
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.4346 0.762 0.816 0.000 0.184
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 1.000 0.000 1.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 1.000 0.000 1.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0237 0.964 0.996 0.000 0.004
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0237 0.942 0.000 0.004 0.996
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0237 0.964 0.996 0.000 0.004
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.964 1.000 0.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 3 0.5560 0.597 0.300 0.000 0.700
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0237 0.942 0.000 0.004 0.996
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 1.000 0.000 1.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 1.000 0.000 1.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.0237 0.941 0.004 0.000 0.996
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.2959 0.869 0.900 0.000 0.100
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 1.000 0.000 1.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.964 1.000 0.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.964 1.000 0.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 1.000 0.000 1.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0237 0.964 0.996 0.000 0.004
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0000 1.000 0.000 1.000 0.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.3618 0.850 0.884 0.104 0.012
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 1.000 0.000 1.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 1.000 0.000 1.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 3 0.0000 0.941 0.000 0.000 1.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 1.000 0.000 1.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0000 0.964 1.000 0.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 3 0.0237 0.941 0.004 0.000 0.996
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0237 0.942 0.000 0.004 0.996
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.964 1.000 0.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.0000 0.964 1.000 0.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 1.000 0.000 1.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 1.000 0.000 1.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 3 0.6026 0.442 0.376 0.000 0.624
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.964 1.000 0.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.0237 0.941 0.004 0.000 0.996
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.964 1.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0237 0.942 0.000 0.004 0.996
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 1.000 0.000 1.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 1.000 0.000 1.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.964 1.000 0.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0000 0.941 0.000 0.000 1.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0237 0.942 0.000 0.004 0.996
#> CED15676-B901-4FC8-9C8D-51E529D9441D 3 0.0000 0.941 0.000 0.000 1.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.6008 0.393 0.628 0.000 0.372
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 1.000 0.000 1.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0237 0.964 0.996 0.000 0.004
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0237 0.942 0.000 0.004 0.996
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 1.000 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.964 1.000 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 1.000 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0237 0.964 0.996 0.000 0.004
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 1.000 0.000 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0237 0.942 0.000 0.004 0.996
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 1.000 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 1.000 0.000 1.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 1.000 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.964 1.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0237 0.964 0.996 0.000 0.004
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0000 0.964 1.000 0.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.0000 0.941 0.000 0.000 1.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 1.000 0.000 1.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.964 1.000 0.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.0000 0.941 0.000 0.000 1.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0237 0.942 0.000 0.004 0.996
#> 22863A57-F066-4DD1-A859-4336F43D144C 3 0.0237 0.941 0.004 0.000 0.996
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0237 0.964 0.996 0.000 0.004
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.964 1.000 0.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 3 0.6345 0.341 0.400 0.004 0.596
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.2878 0.877 0.904 0.000 0.096
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.964 1.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 1.000 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0237 0.942 0.000 0.004 0.996
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 1.000 0.000 1.000 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.5291 0.652 0.268 0.000 0.732
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 1.000 0.000 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.6126 0.326 0.600 0.000 0.400
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 1.000 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0237 0.942 0.000 0.004 0.996
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 1.000 0.000 1.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.964 1.000 0.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0000 1.000 0.000 1.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.964 1.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0237 0.964 0.996 0.000 0.004
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.964 1.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0237 0.964 0.996 0.000 0.004
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 3 0.2261 0.890 0.068 0.000 0.932
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.3116 0.861 0.892 0.000 0.108
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 1.000 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 1.000 0.000 1.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.964 1.000 0.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0237 0.964 0.996 0.000 0.004
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 1.000 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 1.000 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 1.000 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.964 1.000 0.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.0000 0.964 1.000 0.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 1.000 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 1.000 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0237 0.964 0.996 0.000 0.004
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.4974 0.683 0.764 0.000 0.236
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0237 0.964 0.996 0.000 0.004
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0237 0.964 0.996 0.000 0.004
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 1.000 0.000 1.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0237 0.964 0.996 0.000 0.004
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.964 1.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 1.000 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0237 0.964 0.996 0.000 0.004
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.3852 0.7291 0.800 0.000 0.192 0.008
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0000 0.8759 0.000 0.000 0.000 1.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.8759 0.000 0.000 0.000 1.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0188 0.9021 0.996 0.000 0.000 0.004
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0592 0.8998 0.984 0.000 0.000 0.016
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9500 0.000 0.000 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0592 0.8704 0.016 0.000 0.000 0.984
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0592 0.8998 0.984 0.000 0.000 0.016
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.9500 0.000 0.000 1.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0336 0.9025 0.992 0.000 0.000 0.008
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.1302 0.8780 0.956 0.000 0.000 0.044
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.4431 0.5314 0.696 0.000 0.000 0.304
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9500 0.000 0.000 1.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0336 0.9019 0.992 0.000 0.000 0.008
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0469 0.8724 0.012 0.000 0.000 0.988
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0336 0.9019 0.992 0.000 0.000 0.008
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0336 0.9019 0.992 0.000 0.000 0.008
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0000 0.8759 0.000 0.000 0.000 1.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0188 0.9021 0.996 0.000 0.000 0.004
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0592 0.8980 0.984 0.000 0.000 0.016
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.1211 0.8821 0.960 0.000 0.000 0.040
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.6985 0.1607 0.480 0.000 0.404 0.116
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 3 0.0000 0.9500 0.000 0.000 1.000 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.0000 0.8759 0.000 0.000 0.000 1.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9500 0.000 0.000 1.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.0000 0.9500 0.000 0.000 1.000 0.000
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#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 0.9500 0.000 0.000 1.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.0592 0.8704 0.016 0.000 0.000 0.984
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0592 0.8998 0.984 0.000 0.000 0.016
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0188 0.8752 0.004 0.000 0.000 0.996
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.1474 0.9121 0.052 0.000 0.948 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0921 0.9714 0.000 0.972 0.028 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0188 0.8752 0.004 0.000 0.000 0.996
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.1489 0.9164 0.044 0.000 0.952 0.004
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.9500 0.000 0.000 1.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 3 0.4877 0.3559 0.000 0.000 0.592 0.408
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0336 0.9019 0.992 0.000 0.000 0.008
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.4888 0.3997 0.412 0.000 0.000 0.588
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 3 0.4866 0.2574 0.404 0.000 0.596 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0592 0.8998 0.984 0.000 0.000 0.016
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 4 0.4948 0.3301 0.440 0.000 0.000 0.560
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0000 0.9500 0.000 0.000 1.000 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.0336 0.8703 0.000 0.000 0.008 0.992
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.7500 0.0333 0.412 0.000 0.408 0.180
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.9500 0.000 0.000 1.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0000 0.8759 0.000 0.000 0.000 1.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.1389 0.8746 0.952 0.000 0.000 0.048
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.0592 0.8704 0.016 0.000 0.000 0.984
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0336 0.9019 0.992 0.000 0.000 0.008
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.4661 0.6200 0.728 0.000 0.256 0.016
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.0000 0.8759 0.000 0.000 0.000 1.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0000 0.8759 0.000 0.000 0.000 1.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0592 0.8998 0.984 0.000 0.000 0.016
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0000 0.8759 0.000 0.000 0.000 1.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0336 0.8705 0.008 0.000 0.000 0.992
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0336 0.9019 0.992 0.000 0.000 0.008
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.2222 0.8581 0.924 0.000 0.060 0.016
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0336 0.9019 0.992 0.000 0.000 0.008
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0592 0.8998 0.984 0.000 0.000 0.016
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4761 0.4841 0.372 0.000 0.000 0.628
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9992 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0336 0.9019 0.992 0.000 0.000 0.008
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.3123 0.8793 0.184 0.812 0.000 0.000 0.004
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.3231 0.7181 0.800 0.000 0.196 0.000 0.004
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.3123 0.8793 0.184 0.812 0.000 0.000 0.004
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.3123 0.8793 0.184 0.812 0.000 0.000 0.004
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0290 0.9471 0.008 0.000 0.000 0.000 0.992
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0162 0.9477 0.004 0.000 0.000 0.000 0.996
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9579 0.000 0.000 1.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.3123 0.8793 0.184 0.812 0.000 0.000 0.004
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.0290 0.9471 0.008 0.000 0.000 0.000 0.992
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0162 0.9553 0.000 0.000 0.996 0.000 0.004
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.3586 0.5809 0.264 0.000 0.000 0.000 0.736
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.3274 0.8041 0.780 0.000 0.000 0.000 0.220
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.3123 0.8793 0.184 0.812 0.000 0.000 0.004
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.3565 0.8357 0.816 0.000 0.000 0.040 0.144
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.0324 0.9457 0.004 0.000 0.000 0.004 0.992
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9579 0.000 0.000 1.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.3074 0.8246 0.804 0.000 0.000 0.000 0.196
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.2966 0.8317 0.816 0.000 0.000 0.000 0.184
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.2966 0.8317 0.816 0.000 0.000 0.000 0.184
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.0162 0.9477 0.004 0.000 0.000 0.000 0.996
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.3242 0.8342 0.816 0.000 0.000 0.012 0.172
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.3409 0.8359 0.816 0.000 0.000 0.024 0.160
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.4494 0.4439 0.608 0.000 0.380 0.012 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.3123 0.8793 0.184 0.812 0.000 0.000 0.004
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0162 0.9387 0.000 0.996 0.000 0.000 0.004
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 3 0.0162 0.9545 0.004 0.000 0.996 0.000 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9579 0.000 0.000 1.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.0000 0.9579 0.000 0.000 1.000 0.000 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0162 0.9553 0.000 0.000 0.996 0.000 0.004
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.3123 0.8793 0.184 0.812 0.000 0.000 0.004
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.9579 0.000 0.000 1.000 0.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.2648 0.7867 0.000 0.000 0.152 0.000 0.848
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.0162 0.9477 0.004 0.000 0.000 0.000 0.996
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.0162 0.9459 0.000 0.000 0.004 0.000 0.996
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.0290 0.9471 0.008 0.000 0.000 0.000 0.992
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9579 0.000 0.000 1.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.2966 0.8317 0.816 0.000 0.000 0.000 0.184
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.3074 0.8246 0.804 0.000 0.000 0.000 0.196
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.3123 0.8793 0.184 0.812 0.000 0.000 0.004
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 5 0.0290 0.9471 0.008 0.000 0.000 0.000 0.992
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.2966 0.8317 0.816 0.000 0.000 0.000 0.184
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.0290 0.9471 0.008 0.000 0.000 0.000 0.992
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.3391 0.7265 0.800 0.000 0.188 0.012 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.2806 0.7833 0.000 0.000 0.152 0.004 0.844
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.4201 0.4785 0.592 0.000 0.000 0.408 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.3452 0.7326 0.756 0.000 0.000 0.244 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.0290 0.9471 0.008 0.000 0.000 0.000 0.992
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.0162 0.9459 0.000 0.000 0.004 0.000 0.996
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.3123 0.8793 0.184 0.812 0.000 0.000 0.004
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.3123 0.8793 0.184 0.812 0.000 0.000 0.004
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.0609 0.9442 0.000 0.000 0.020 0.980 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.9579 0.000 0.000 1.000 0.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.3595 0.8354 0.816 0.000 0.000 0.044 0.140
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.0162 0.9477 0.004 0.000 0.000 0.000 0.996
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.3123 0.8793 0.184 0.812 0.000 0.000 0.004
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.3003 0.7769 0.812 0.000 0.000 0.188 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0000 0.9579 0.000 0.000 1.000 0.000 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.4201 0.4548 0.592 0.000 0.000 0.408 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.2966 0.8317 0.816 0.000 0.000 0.000 0.184
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.3109 0.7707 0.800 0.000 0.000 0.200 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.0290 0.9471 0.008 0.000 0.000 0.000 0.992
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.3210 0.7091 0.000 0.000 0.788 0.000 0.212
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.3123 0.8793 0.184 0.812 0.000 0.000 0.004
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.3274 0.6784 0.000 0.000 0.220 0.780 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.0000 0.9659 0.000 0.000 0.000 1.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.3636 0.7013 0.728 0.000 0.000 0.272 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.3074 0.7728 0.804 0.000 0.000 0.196 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 5 0.0290 0.9471 0.008 0.000 0.000 0.000 0.992
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#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.2966 0.8317 0.816 0.000 0.000 0.000 0.184
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.0162 0.9477 0.004 0.000 0.000 0.000 0.996
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.0963 0.9183 0.036 0.000 0.000 0.000 0.964
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.2966 0.8317 0.816 0.000 0.000 0.000 0.184
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.2732 0.8893 0.160 0.840 0.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0290 0.9471 0.008 0.000 0.000 0.000 0.992
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.3913 0.6315 0.676 0.000 0.000 0.324 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9399 0.000 1.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.2966 0.8317 0.816 0.000 0.000 0.000 0.184
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 6 0.1663 0.9817 0.000 0.088 0.000 0.000 0.000 0.912
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.3558 0.7828 0.800 0.000 0.112 0.000 0.088 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0363 0.9798 0.000 0.988 0.000 0.000 0.000 0.012
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 6 0.1663 0.9817 0.000 0.088 0.000 0.000 0.000 0.912
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0260 0.9393 0.008 0.000 0.000 0.992 0.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.1204 0.9357 0.000 0.000 0.000 0.944 0.000 0.056
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 6 0.1663 0.9817 0.000 0.088 0.000 0.000 0.000 0.912
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.1327 0.9414 0.064 0.000 0.000 0.000 0.936 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.1075 0.9440 0.048 0.000 0.000 0.000 0.952 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 6 0.1663 0.9817 0.000 0.088 0.000 0.000 0.000 0.912
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0146 0.9404 0.000 0.000 0.000 0.996 0.000 0.004
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.1267 0.9425 0.060 0.000 0.000 0.000 0.940 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.1686 0.8977 0.000 0.000 0.924 0.000 0.064 0.012
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.3672 0.4780 0.368 0.000 0.000 0.000 0.632 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.2454 0.7991 0.840 0.000 0.000 0.000 0.160 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.1610 0.9783 0.000 0.084 0.000 0.000 0.000 0.916
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.1794 0.8494 0.924 0.000 0.000 0.036 0.040 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.2446 0.8984 0.124 0.000 0.000 0.000 0.864 0.012
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0363 0.9798 0.000 0.988 0.000 0.000 0.000 0.012
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.2260 0.8139 0.860 0.000 0.000 0.000 0.140 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0146 0.9415 0.000 0.000 0.000 0.996 0.000 0.004
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.1663 0.8428 0.912 0.000 0.000 0.000 0.088 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0865 0.8442 0.964 0.000 0.000 0.000 0.036 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.1204 0.9357 0.000 0.000 0.000 0.944 0.000 0.056
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.0146 0.9355 0.000 0.000 0.000 0.000 0.996 0.004
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.1802 0.8474 0.916 0.000 0.000 0.012 0.072 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0363 0.8324 0.988 0.000 0.000 0.000 0.000 0.012
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.4450 0.4991 0.620 0.000 0.348 0.024 0.004 0.004
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 6 0.1663 0.9817 0.000 0.088 0.000 0.000 0.000 0.912
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.3126 0.6237 0.000 0.752 0.000 0.000 0.000 0.248
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 3 0.0937 0.9177 0.040 0.000 0.960 0.000 0.000 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.1267 0.9349 0.000 0.000 0.000 0.940 0.000 0.060
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.0260 0.9465 0.008 0.000 0.992 0.000 0.000 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.1500 0.9075 0.000 0.000 0.936 0.000 0.052 0.012
#> C5C3241A-684C-4238-9333-9AF8630EC086 6 0.1663 0.9817 0.000 0.088 0.000 0.000 0.000 0.912
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0363 0.9798 0.000 0.988 0.000 0.000 0.000 0.012
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.1563 0.8903 0.000 0.000 0.056 0.000 0.932 0.012
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.2006 0.8959 0.080 0.000 0.000 0.904 0.000 0.016
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.2799 0.8958 0.076 0.000 0.000 0.860 0.000 0.064
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0000 0.9413 0.000 0.000 0.000 1.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.1267 0.9425 0.060 0.000 0.000 0.000 0.940 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.0363 0.9336 0.000 0.000 0.000 0.000 0.988 0.012
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0000 0.9413 0.000 0.000 0.000 1.000 0.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.1327 0.9414 0.064 0.000 0.000 0.000 0.936 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.1610 0.8438 0.916 0.000 0.000 0.000 0.084 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.2219 0.8166 0.864 0.000 0.000 0.000 0.136 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 6 0.1663 0.9817 0.000 0.088 0.000 0.000 0.000 0.912
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 5 0.1327 0.9414 0.064 0.000 0.000 0.000 0.936 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.1663 0.8423 0.912 0.000 0.000 0.000 0.088 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.1327 0.9414 0.064 0.000 0.000 0.000 0.936 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.1267 0.9349 0.000 0.000 0.000 0.940 0.000 0.060
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.3491 0.7555 0.796 0.000 0.168 0.028 0.004 0.004
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.2853 0.8500 0.004 0.000 0.056 0.004 0.868 0.068
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.4064 0.4893 0.624 0.000 0.000 0.360 0.000 0.016
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.3163 0.7460 0.764 0.000 0.000 0.232 0.000 0.004
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.1327 0.9414 0.064 0.000 0.000 0.000 0.936 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.0363 0.9336 0.000 0.000 0.000 0.000 0.988 0.012
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 6 0.1663 0.9817 0.000 0.088 0.000 0.000 0.000 0.912
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 6 0.1610 0.9783 0.000 0.084 0.000 0.000 0.000 0.916
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0146 0.9821 0.000 0.996 0.000 0.000 0.000 0.004
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.2258 0.9183 0.020 0.000 0.008 0.908 0.008 0.056
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.1794 0.8494 0.924 0.000 0.000 0.036 0.040 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.1007 0.9443 0.044 0.000 0.000 0.000 0.956 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 6 0.1663 0.9817 0.000 0.088 0.000 0.000 0.000 0.912
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.2856 0.8943 0.076 0.000 0.000 0.856 0.000 0.068
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.0000 0.9413 0.000 0.000 0.000 1.000 0.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.1838 0.8167 0.916 0.000 0.000 0.068 0.000 0.016
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.4052 0.4704 0.628 0.000 0.000 0.356 0.000 0.016
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.1610 0.8438 0.916 0.000 0.000 0.000 0.084 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0363 0.9798 0.000 0.988 0.000 0.000 0.000 0.012
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 4 0.0000 0.9413 0.000 0.000 0.000 1.000 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.3240 0.7455 0.752 0.000 0.000 0.244 0.000 0.004
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.1327 0.9414 0.064 0.000 0.000 0.000 0.936 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.3954 0.4639 0.000 0.000 0.636 0.000 0.352 0.012
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 6 0.1663 0.9817 0.000 0.088 0.000 0.000 0.000 0.912
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.4149 0.6907 0.000 0.000 0.212 0.728 0.004 0.056
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.1204 0.9357 0.000 0.000 0.000 0.944 0.000 0.056
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.3547 0.6807 0.696 0.000 0.000 0.300 0.000 0.004
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.2805 0.7838 0.812 0.000 0.000 0.184 0.000 0.004
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 5 0.1387 0.9394 0.068 0.000 0.000 0.000 0.932 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.1610 0.8438 0.916 0.000 0.000 0.000 0.084 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.1327 0.9414 0.064 0.000 0.000 0.000 0.936 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 4 0.0000 0.9413 0.000 0.000 0.000 1.000 0.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0363 0.9798 0.000 0.988 0.000 0.000 0.000 0.012
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.3695 0.6756 0.712 0.000 0.000 0.272 0.000 0.016
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.1501 0.8457 0.924 0.000 0.000 0.000 0.076 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.1686 0.8098 0.924 0.000 0.064 0.000 0.000 0.012
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.2799 0.8953 0.076 0.000 0.000 0.860 0.000 0.064
#> 51B7241E-F0BE-482A-88AE-89004BB68989 4 0.0000 0.9413 0.000 0.000 0.000 1.000 0.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 5 0.1765 0.9373 0.052 0.000 0.000 0.000 0.924 0.024
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 4 0.1267 0.9349 0.000 0.000 0.000 0.940 0.000 0.060
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 5 0.2312 0.9020 0.112 0.000 0.000 0.000 0.876 0.012
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 5 0.1007 0.9443 0.044 0.000 0.000 0.000 0.956 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 4 0.0000 0.9413 0.000 0.000 0.000 1.000 0.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 5 0.1327 0.9414 0.064 0.000 0.000 0.000 0.936 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0363 0.9798 0.000 0.988 0.000 0.000 0.000 0.012
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0000 0.9512 0.000 0.000 1.000 0.000 0.000 0.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 4 0.0000 0.9413 0.000 0.000 0.000 1.000 0.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.2581 0.7903 0.856 0.000 0.000 0.128 0.000 0.016
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 6 0.3543 0.8134 0.004 0.212 0.020 0.000 0.000 0.764
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 6 0.1812 0.8695 0.000 0.008 0.080 0.000 0.000 0.912
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.2260 0.8299 0.000 0.860 0.000 0.000 0.000 0.140
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.1789 0.8487 0.924 0.000 0.000 0.044 0.032 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 6 0.1663 0.9817 0.000 0.088 0.000 0.000 0.000 0.912
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 5 0.0260 0.9346 0.000 0.000 0.000 0.000 0.992 0.008
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#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.1663 0.9817 0.000 0.088 0.000 0.000 0.000 0.912
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.1411 0.9342 0.004 0.000 0.000 0.936 0.000 0.060
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#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0260 0.9393 0.008 0.000 0.000 0.992 0.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.1327 0.9414 0.064 0.000 0.000 0.000 0.936 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0260 0.9811 0.000 0.992 0.000 0.000 0.000 0.008
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#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0146 0.9406 0.004 0.000 0.000 0.996 0.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.1204 0.9357 0.000 0.000 0.000 0.944 0.000 0.056
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0363 0.9798 0.000 0.988 0.000 0.000 0.000 0.012
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0363 0.9798 0.000 0.988 0.000 0.000 0.000 0.012
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.1765 0.8391 0.904 0.000 0.000 0.000 0.096 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.1007 0.9443 0.044 0.000 0.000 0.000 0.956 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.1444 0.9230 0.072 0.000 0.000 0.000 0.928 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.1501 0.8457 0.924 0.000 0.000 0.000 0.076 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.2562 0.7716 0.000 0.828 0.000 0.000 0.000 0.172
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.1327 0.9414 0.064 0.000 0.000 0.000 0.936 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.3795 0.5746 0.632 0.000 0.000 0.364 0.000 0.004
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9830 0.000 1.000 0.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1501 0.8457 0.924 0.000 0.000 0.000 0.076 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 17377 rows and 265 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.992 0.950 0.979 0.3999 0.606 0.606
#> 3 3 0.615 0.797 0.849 0.5431 0.713 0.536
#> 4 4 0.718 0.786 0.866 0.1498 0.926 0.790
#> 5 5 0.796 0.796 0.891 0.0806 0.925 0.746
#> 6 6 0.886 0.852 0.931 0.0532 0.940 0.751
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0938 0.9651 0.012 0.988
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.9806 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9740 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.2603 0.9359 0.044 0.956
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.9806 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9740 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.9806 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9740 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9740 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.9806 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.9806 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9740 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9740 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.9806 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 1 0.8327 0.6518 0.736 0.264
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.9806 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.9806 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.0000 0.9806 1.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.9806 1.000 0.000
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#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.3584 0.9217 0.932 0.068
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.9806 1.000 0.000
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#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.0000 0.9806 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.9806 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.9806 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0672 0.9748 0.992 0.008
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9740 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.9806 1.000 0.000
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#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.4298 0.9019 0.912 0.088
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.9806 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 1 0.2043 0.9554 0.968 0.032
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9740 0.000 1.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.9881 0.2226 0.564 0.436
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.0000 0.9806 1.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 1 1.0000 0.0167 0.504 0.496
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#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9740 0.000 1.000
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#> B344A530-92CD-468B-847A-DF8E25688081 1 0.0376 0.9778 0.996 0.004
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#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.9806 1.000 0.000
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#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.0000 0.9806 1.000 0.000
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#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.9740 0.000 1.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.9806 1.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 1 0.0000 0.9806 1.000 0.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.9806 1.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.9806 1.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.9806 1.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 1 0.2043 0.9557 0.968 0.032
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.9740 0.000 1.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.9740 0.000 1.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.0000 0.9806 1.000 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.0000 0.9806 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.9740 0.000 1.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.9806 1.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.9806 1.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.9740 0.000 1.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.9806 1.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 1.0000 0.0102 0.496 0.504
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.1843 0.9589 0.972 0.028
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.9740 0.000 1.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9740 0.000 1.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.0000 0.9806 1.000 0.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.9740 0.000 1.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0000 0.9806 1.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.0000 0.9806 1.000 0.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 1 0.0672 0.9749 0.992 0.008
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.9806 1.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.0000 0.9806 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.9740 0.000 1.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.9740 0.000 1.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.0000 0.9806 1.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.9806 1.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.0000 0.9806 1.000 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.9806 1.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 1 0.0376 0.9778 0.996 0.004
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.9740 0.000 1.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9740 0.000 1.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.9806 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 1 0.0000 0.9806 1.000 0.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 1 0.3114 0.9336 0.944 0.056
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0000 0.9806 1.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.0000 0.9806 1.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9740 0.000 1.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.9806 1.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 1 0.2043 0.9554 0.968 0.032
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9740 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.9806 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.1184 0.9620 0.016 0.984
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.9806 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9740 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.0672 0.9749 0.992 0.008
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9740 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9740 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9740 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.9806 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.9806 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0000 0.9806 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.0000 0.9806 1.000 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0672 0.9682 0.008 0.992
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.9806 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.0000 0.9806 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 1 0.1184 0.9686 0.984 0.016
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0000 0.9806 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.9806 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.9806 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.9896 0.2015 0.560 0.440
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.9806 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.9806 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9740 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.1633 0.9625 0.976 0.024
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 1 0.8443 0.6369 0.728 0.272
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0000 0.9806 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9740 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.9806 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9740 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.2603 0.9452 0.956 0.044
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.7674 0.7101 0.224 0.776
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.9806 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.5408 0.8521 0.124 0.876
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.9806 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.9806 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.9806 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.9806 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.9806 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.9806 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9740 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.9996 0.0388 0.488 0.512
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.9806 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.9806 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9740 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9740 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9740 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.9806 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.0000 0.9806 1.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9740 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9740 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9806 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0000 0.9806 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9806 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0376 0.9778 0.996 0.004
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.1414 0.9585 0.020 0.980
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.9806 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.9806 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9740 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9806 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.1337 0.9683 0.012 0.972 0.016
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0237 0.8376 0.996 0.000 0.004
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9928 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 3 0.6520 0.0639 0.004 0.488 0.508
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 3 0.5216 0.8522 0.260 0.000 0.740
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9928 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.4974 0.8689 0.236 0.000 0.764
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9928 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9928 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.8375 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.2537 0.8348 0.920 0.000 0.080
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9928 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9928 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.6309 -0.3887 0.496 0.000 0.504
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 3 0.7319 0.7549 0.164 0.128 0.708
#> 58578614-E4A3-4655-BBAB-F65851625E0A 3 0.4974 0.8689 0.236 0.000 0.764
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.2537 0.8348 0.920 0.000 0.080
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.2537 0.8348 0.920 0.000 0.080
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.2537 0.8348 0.920 0.000 0.080
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.8375 1.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 3 0.6465 0.8291 0.232 0.044 0.724
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0747 0.8347 0.984 0.000 0.016
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.2537 0.8348 0.920 0.000 0.080
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.5882 0.1148 0.348 0.000 0.652
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9928 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9928 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.8375 1.000 0.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 3 0.4974 0.8689 0.236 0.000 0.764
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.8375 1.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.1031 0.8335 0.976 0.000 0.024
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.4974 0.8689 0.236 0.000 0.764
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.8375 1.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.2165 0.8142 0.936 0.000 0.064
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.2280 0.8194 0.940 0.008 0.052
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9928 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.5706 0.4207 0.680 0.000 0.320
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 1 0.9672 0.0206 0.456 0.240 0.304
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.7053 0.5995 0.692 0.244 0.064
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.3039 0.8061 0.920 0.044 0.036
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 3 0.4974 0.8689 0.236 0.000 0.764
#> 177C7EF4-2D54-4555-947C-44EE7C688917 1 0.6111 0.5440 0.604 0.000 0.396
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9928 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.7627 0.2866 0.528 0.428 0.044
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.6235 -0.1094 0.564 0.000 0.436
#> C5C3241A-684C-4238-9333-9AF8630EC086 3 0.7265 0.7199 0.128 0.160 0.712
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9928 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0892 0.6582 0.020 0.000 0.980
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.2625 0.8329 0.916 0.000 0.084
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 3 0.4974 0.8689 0.236 0.000 0.764
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9928 0.000 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 3 0.4974 0.8689 0.236 0.000 0.764
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 3 0.4974 0.8689 0.236 0.000 0.764
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.3412 0.7993 0.876 0.000 0.124
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.2625 0.8329 0.916 0.000 0.084
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 3 0.4974 0.8689 0.236 0.000 0.764
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.8375 1.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 1 0.6267 0.4865 0.548 0.000 0.452
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.8375 1.000 0.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.8375 1.000 0.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 3 0.9001 0.4823 0.144 0.344 0.512
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9928 0.000 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9928 0.000 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.8375 1.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.8375 1.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.8375 1.000 0.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.4974 0.8689 0.236 0.000 0.764
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 3 0.5621 0.8103 0.308 0.000 0.692
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.5397 0.8343 0.280 0.000 0.720
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.3941 0.7759 0.844 0.000 0.156
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.4654 0.7044 0.792 0.000 0.208
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.8375 1.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.2537 0.8348 0.920 0.000 0.080
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.2926 0.9128 0.040 0.924 0.036
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9928 0.000 1.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 3 0.6049 0.8407 0.204 0.040 0.756
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9928 0.000 1.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 3 0.5216 0.8520 0.260 0.000 0.740
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#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 3 0.5733 0.7644 0.324 0.000 0.676
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.5016 0.8660 0.240 0.000 0.760
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9928 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9928 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.8375 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.2537 0.8348 0.920 0.000 0.080
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.8375 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 3 0.5706 0.7922 0.320 0.000 0.680
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.1491 0.9641 0.016 0.968 0.016
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.2537 0.8348 0.920 0.000 0.080
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 3 0.5291 0.8471 0.268 0.000 0.732
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9928 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1753 0.8242 0.952 0.000 0.048
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.2048 0.9222 0.008 0.928 0.000 0.064
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0469 0.7866 0.988 0.000 0.000 0.012
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 4 0.5203 0.2525 0.008 0.416 0.000 0.576
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.2760 0.7770 0.128 0.000 0.000 0.872
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0592 0.9791 0.000 0.984 0.000 0.016
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.4880 0.7818 0.188 0.000 0.760 0.052
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 4 0.2706 0.7702 0.020 0.080 0.000 0.900
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.2149 0.7890 0.912 0.000 0.000 0.088
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.3942 0.6995 0.764 0.000 0.236 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 4 0.3384 0.7618 0.116 0.024 0.000 0.860
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.5021 0.6856 0.724 0.000 0.240 0.036
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.4538 0.7825 0.024 0.000 0.760 0.216
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.3975 0.6973 0.760 0.000 0.240 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.4155 0.6962 0.756 0.000 0.240 0.004
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.5188 0.6824 0.716 0.000 0.240 0.044
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.6110 0.6422 0.660 0.000 0.240 0.100
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.6286 0.6386 0.656 0.004 0.240 0.100
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.7563 0.4790 0.484 0.000 0.236 0.280
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 1 0.7728 0.1624 0.416 0.232 0.000 0.352
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.5528 0.5353 0.700 0.236 0.000 0.064
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.5145 0.7263 0.788 0.020 0.112 0.080
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.3975 0.7491 0.240 0.000 0.760 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.6521 0.3055 0.512 0.412 0.000 0.076
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.4985 0.2004 0.532 0.000 0.000 0.468
#> C5C3241A-684C-4238-9333-9AF8630EC086 4 0.3612 0.7459 0.044 0.100 0.000 0.856
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.4072 0.7534 0.000 0.000 0.748 0.252
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.0921 0.8536 0.028 0.000 0.000 0.972
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0707 0.8557 0.020 0.000 0.000 0.980
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.2704 0.7742 0.876 0.000 0.000 0.124
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.4399 0.7612 0.224 0.000 0.760 0.016
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.4155 0.6962 0.756 0.000 0.240 0.004
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.4155 0.6962 0.756 0.000 0.240 0.004
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 4 0.5720 0.4292 0.052 0.296 0.000 0.652
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 4 0.6719 0.5069 0.152 0.000 0.240 0.608
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 4 0.3074 0.7559 0.152 0.000 0.000 0.848
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.3726 0.7067 0.788 0.000 0.000 0.212
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.4222 0.6407 0.728 0.000 0.000 0.272
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.2675 0.8780 0.008 0.892 0.000 0.100
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 4 0.1406 0.8414 0.024 0.016 0.000 0.960
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.2281 0.8080 0.096 0.000 0.000 0.904
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.4707 0.7873 0.036 0.000 0.760 0.204
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.7534 0.3785 0.492 0.000 0.240 0.268
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.1867 0.7950 0.928 0.000 0.000 0.072
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.1474 0.9447 0.000 0.948 0.000 0.052
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.1022 0.8492 0.032 0.000 0.000 0.968
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 4 0.6216 0.5318 0.108 0.000 0.240 0.652
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.3975 0.7491 0.240 0.000 0.760 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.4932 0.6876 0.728 0.000 0.240 0.032
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 4 0.0817 0.8552 0.024 0.000 0.000 0.976
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.1118 0.7872 0.964 0.000 0.000 0.036
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.3219 0.7472 0.836 0.000 0.000 0.164
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 4 0.3552 0.7462 0.128 0.024 0.000 0.848
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.2469 0.7854 0.892 0.000 0.000 0.108
#> 93835C77-F8FA-4928-843C-8016A91881FA 4 0.6317 0.5257 0.116 0.000 0.240 0.644
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.4155 0.6962 0.756 0.000 0.240 0.004
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.4122 0.7704 0.004 0.000 0.760 0.236
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.6025 0.6030 0.352 0.012 0.604 0.032
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.5074 0.6465 0.332 0.008 0.656 0.004
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.2216 0.7903 0.908 0.000 0.000 0.092
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 4 0.4761 0.4845 0.332 0.000 0.004 0.664
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 4 0.7478 0.3391 0.256 0.000 0.240 0.504
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.6678 0.5910 0.612 0.000 0.240 0.148
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 51B7241E-F0BE-482A-88AE-89004BB68989 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.5884 0.5813 0.364 0.000 0.592 0.044
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.2149 0.7890 0.912 0.000 0.000 0.088
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.4122 0.7706 0.004 0.000 0.760 0.236
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.1867 0.7950 0.928 0.000 0.000 0.072
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.3975 0.7491 0.240 0.000 0.760 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0817 0.7913 0.976 0.000 0.000 0.024
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.1557 0.7949 0.944 0.000 0.000 0.056
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 1 0.4040 0.6599 0.752 0.000 0.000 0.248
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 4 0.1109 0.8530 0.028 0.000 0.004 0.968
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 4 0.4746 0.5055 0.304 0.008 0.000 0.688
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> 0F1A5708-341E-4713-BC70-76D702F826D6 1 0.4963 0.6193 0.696 0.020 0.000 0.284
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.7516 0.4019 0.496 0.000 0.240 0.264
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.3377 0.8180 0.012 0.848 0.000 0.140
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.1792 0.7954 0.932 0.000 0.000 0.068
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 1 0.5294 0.1256 0.508 0.008 0.000 0.484
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.4122 0.7704 0.004 0.000 0.760 0.236
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0336 0.9837 0.000 0.992 0.000 0.008
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.2704 0.7787 0.876 0.000 0.000 0.124
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 4 0.1022 0.8518 0.032 0.000 0.000 0.968
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 4 0.0921 0.8513 0.028 0.000 0.000 0.972
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.5423 0.6799 0.712 0.008 0.240 0.040
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.4840 0.6890 0.732 0.000 0.240 0.028
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.2011 0.7928 0.920 0.000 0.000 0.080
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.3172 0.7566 0.840 0.000 0.000 0.160
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 4 0.5998 0.5435 0.092 0.000 0.240 0.668
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.4122 0.7706 0.004 0.000 0.760 0.236
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.5077 0.7975 0.080 0.000 0.760 0.160
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.3975 0.7491 0.240 0.000 0.760 0.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0592 0.9791 0.000 0.984 0.000 0.016
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0592 0.9791 0.000 0.984 0.000 0.016
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0469 0.9815 0.000 0.988 0.000 0.012
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.3024 0.7557 0.148 0.000 0.000 0.852
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.6506 0.6081 0.628 0.000 0.240 0.132
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 4 0.1182 0.8457 0.016 0.016 0.000 0.968
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.5659 0.6751 0.704 0.016 0.240 0.040
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0592 0.9791 0.000 0.984 0.000 0.016
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.2973 0.7616 0.856 0.000 0.000 0.144
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.1474 0.9440 0.000 0.948 0.000 0.052
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.2760 0.7779 0.128 0.000 0.000 0.872
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.2149 0.7890 0.912 0.000 0.000 0.088
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.4122 0.7706 0.004 0.000 0.760 0.236
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.3659 0.7528 0.024 0.000 0.136 0.840
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> C3921A29-80FF-4B9D-B366-5C0238A42231 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.5106 0.6840 0.720 0.000 0.240 0.040
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.4122 0.7705 0.004 0.000 0.760 0.236
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0336 0.9793 0.000 0.992 0.000 0.008
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0707 0.8557 0.020 0.000 0.000 0.980
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 1 0.4967 0.2539 0.548 0.000 0.000 0.452
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.3975 0.7491 0.240 0.000 0.760 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.5106 0.6840 0.720 0.000 0.240 0.040
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 1 0.2408 0.7823 0.896 0.000 0.000 0.104
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.3032 0.8451 0.008 0.868 0.000 0.124
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.7478 0.4253 0.504 0.000 0.240 0.256
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.5392 0.3187 0.012 0.000 0.528 0.460
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.3942 0.6456 0.236 0.000 0.000 0.764
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0927 0.9724 0.008 0.976 0.000 0.016
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0817 0.8552 0.024 0.000 0.000 0.976
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.3975 0.7649 0.000 0.000 0.760 0.240
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.5106 0.6840 0.720 0.000 0.240 0.040
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.6164 0.5371 0.104 0.000 0.240 0.656
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 4 0.8655 0.3331 0.224 0.060 0.240 0.476
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.7764 0.1516 0.404 0.000 0.240 0.356
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.2944 0.7763 0.868 0.004 0.000 0.128
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 4 0.7609 -0.0524 0.396 0.200 0.000 0.404
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 4 0.4898 0.5892 0.260 0.000 0.024 0.716
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.5128 0.7984 0.092 0.000 0.760 0.148
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 4 0.2282 0.8039 0.024 0.052 0.000 0.924
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0707 0.8565 0.020 0.000 0.000 0.980
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.1118 0.9458 0.036 0.964 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.5106 0.6840 0.720 0.000 0.240 0.040
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.3975 0.6973 0.760 0.000 0.240 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.0921 0.8536 0.028 0.000 0.000 0.972
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.4155 0.6962 0.756 0.000 0.240 0.004
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.1792 0.7953 0.932 0.000 0.000 0.068
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.0592 0.8577 0.016 0.000 0.000 0.984
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 4 0.7659 0.0769 0.332 0.224 0.000 0.444
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.4679 0.4287 0.352 0.000 0.000 0.648
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.3649 0.6896 0.204 0.000 0.000 0.796
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.1022 0.8503 0.032 0.000 0.000 0.968
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9861 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.4155 0.6962 0.756 0.000 0.240 0.004
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.7859 1.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 4 0.5330 0.6527 0.120 0.000 0.132 0.748
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.1545 0.9454 0.008 0.952 0.000 0.040
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.1940 0.7945 0.924 0.000 0.000 0.076
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.1867 0.8295 0.072 0.000 0.000 0.928
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0188 0.9854 0.000 0.996 0.000 0.004
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.5757 0.6618 0.684 0.000 0.240 0.076
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.3534 0.7990 0.256 0.744 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.1557 0.8109 0.052 0.000 0.000 0.008 0.940
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 4 0.6477 0.3461 0.256 0.248 0.000 0.496 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.2280 0.7904 0.000 0.000 0.000 0.880 0.120
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.8827 0.000 0.000 0.000 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.3534 0.7990 0.256 0.744 0.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.1410 0.9275 0.060 0.940 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 4 0.4190 0.6689 0.256 0.008 0.000 0.724 0.012
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0000 0.8827 0.000 0.000 0.000 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 5 0.0404 0.8559 0.000 0.000 0.000 0.012 0.988
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.4182 0.0299 0.400 0.000 0.000 0.000 0.600
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 4 0.4912 0.6427 0.256 0.008 0.000 0.688 0.048
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.4360 0.7826 0.692 0.000 0.000 0.024 0.284
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.1410 0.9275 0.060 0.940 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.4101 0.6415 0.628 0.000 0.000 0.000 0.372
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0000 0.8827 0.000 0.000 0.000 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.3662 0.8160 0.744 0.000 0.000 0.004 0.252
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.4083 0.8334 0.744 0.000 0.000 0.028 0.228
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0000 0.8827 0.000 0.000 0.000 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 5 0.5959 -0.2872 0.420 0.000 0.000 0.108 0.472
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.4630 0.8115 0.744 0.000 0.000 0.116 0.140
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 5 0.6373 -0.3691 0.412 0.000 0.000 0.164 0.424
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 5 0.8556 -0.0360 0.272 0.200 0.000 0.240 0.288
#> 655BD3AF-5094-4B19-93A8-401C70369B17 5 0.4871 0.5760 0.120 0.144 0.000 0.004 0.732
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 5 0.5789 0.0836 0.428 0.012 0.000 0.060 0.500
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.0000 0.8827 0.000 0.000 0.000 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 5 0.6934 0.0912 0.084 0.392 0.000 0.068 0.456
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#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.4083 0.8333 0.744 0.000 0.000 0.028 0.228
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 5 0.0609 0.8504 0.000 0.000 0.000 0.020 0.980
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.0000 0.8827 0.000 0.000 0.000 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.4014 0.7847 0.256 0.728 0.000 0.016 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.4573 0.7816 0.744 0.000 0.000 0.164 0.092
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.1341 0.9290 0.056 0.944 0.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.4434 0.0634 0.000 0.000 0.536 0.460 0.004
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0162 0.9400 0.004 0.996 0.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.1341 0.9290 0.056 0.944 0.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.3336 0.6471 0.000 0.000 0.000 0.772 0.228
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0000 0.8827 0.000 0.000 0.000 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.3424 0.8118 0.240 0.760 0.000 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0162 0.8807 0.000 0.000 0.000 0.996 0.004
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.0000 0.8827 0.000 0.000 0.000 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.4029 0.8312 0.744 0.000 0.000 0.024 0.232
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.4464 0.0629 0.408 0.000 0.000 0.584 0.008
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.6552 0.3937 0.448 0.012 0.000 0.400 0.140
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.4370 0.7492 0.744 0.000 0.000 0.200 0.056
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 5 0.1626 0.8231 0.016 0.000 0.000 0.044 0.940
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 5 0.8110 0.0324 0.256 0.100 0.000 0.288 0.356
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.0000 0.8827 0.000 0.000 0.000 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 4 0.4219 0.5653 0.024 0.000 0.000 0.716 0.260
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 4 0.4573 0.6407 0.256 0.044 0.000 0.700 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0162 0.8807 0.000 0.000 0.000 0.996 0.004
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0162 0.9382 0.000 0.996 0.000 0.000 0.004
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.4083 0.8333 0.744 0.000 0.000 0.028 0.228
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.3661 0.7922 0.724 0.000 0.000 0.000 0.276
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.0290 0.8787 0.000 0.000 0.000 0.992 0.008
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.3662 0.8160 0.744 0.000 0.000 0.004 0.252
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.0000 0.8827 0.000 0.000 0.000 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 4 0.8569 0.0922 0.256 0.216 0.000 0.296 0.232
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.4101 0.4055 0.000 0.000 0.000 0.628 0.372
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.1410 0.9275 0.060 0.940 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.3074 0.6980 0.000 0.000 0.000 0.804 0.196
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0510 0.8748 0.000 0.000 0.000 0.984 0.016
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9405 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.3662 0.8160 0.744 0.000 0.000 0.004 0.252
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 4 0.4736 0.1025 0.404 0.000 0.000 0.576 0.020
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.2798 0.8805 0.140 0.852 0.000 0.008 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0000 0.8634 0.000 0.000 0.000 0.000 1.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.1197 0.8527 0.000 0.000 0.000 0.952 0.048
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.1410 0.9275 0.060 0.940 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.4429 0.8344 0.744 0.000 0.000 0.064 0.192
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 6 0.0000 0.8910 0.000 0.000 0.000 0.000 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.2234 0.8166 0.124 0.000 0.000 0.004 0.872 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9564 0.000 1.000 0.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 6 0.0000 0.8910 0.000 0.000 0.000 0.000 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.2146 0.8413 0.004 0.000 0.000 0.880 0.116 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0632 0.9536 0.024 0.976 0.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0146 0.9563 0.004 0.996 0.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 6 0.0000 0.8910 0.000 0.000 0.000 0.000 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9564 0.000 1.000 0.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.2333 0.9017 0.024 0.884 0.000 0.000 0.000 0.092
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9524 0.000 0.000 1.000 0.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 6 0.0000 0.8910 0.000 0.000 0.000 0.000 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.0458 0.9091 0.016 0.000 0.000 0.000 0.984 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.3765 0.2022 0.404 0.000 0.000 0.000 0.596 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.0000 0.8910 0.000 0.000 0.000 0.000 0.000 1.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.1967 0.8392 0.904 0.000 0.000 0.012 0.084 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9524 0.000 0.000 1.000 0.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9564 0.000 1.000 0.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.1765 0.9324 0.024 0.924 0.000 0.000 0.000 0.052
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.3244 0.6775 0.732 0.000 0.000 0.000 0.268 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.2454 0.7810 0.840 0.000 0.000 0.000 0.160 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.1088 0.8678 0.960 0.000 0.000 0.016 0.024 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.4379 0.3487 0.576 0.000 0.000 0.028 0.396 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.1092 0.8664 0.960 0.000 0.000 0.020 0.020 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9564 0.000 1.000 0.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 5 0.5587 -0.1954 0.428 0.000 0.000 0.140 0.432 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 6 0.4186 0.7473 0.132 0.012 0.000 0.040 0.032 0.784
#> 655BD3AF-5094-4B19-93A8-401C70369B17 6 0.3471 0.7989 0.072 0.052 0.000 0.004 0.032 0.840
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 5 0.7023 -0.1863 0.312 0.004 0.000 0.048 0.340 0.296
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.0146 0.9367 0.004 0.000 0.000 0.996 0.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0363 0.9515 0.012 0.000 0.988 0.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9564 0.000 1.000 0.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 6 0.4142 0.6976 0.160 0.000 0.000 0.024 0.052 0.764
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 5 0.3828 0.1745 0.000 0.000 0.000 0.440 0.560 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 4 0.3939 0.7588 0.008 0.036 0.000 0.800 0.032 0.124
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9564 0.000 1.000 0.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0820 0.9376 0.012 0.000 0.972 0.016 0.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.0603 0.9077 0.016 0.000 0.000 0.004 0.980 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.0458 0.9323 0.016 0.000 0.000 0.984 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.1418 0.9432 0.024 0.944 0.000 0.000 0.000 0.032
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0146 0.9369 0.004 0.000 0.000 0.996 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.2163 0.8322 0.016 0.000 0.000 0.092 0.892 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.0858 0.9006 0.028 0.000 0.000 0.004 0.968 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9524 0.000 0.000 1.000 0.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0937 0.8608 0.960 0.000 0.000 0.000 0.040 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.2912 0.7292 0.784 0.000 0.000 0.000 0.216 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 6 0.0000 0.8910 0.000 0.000 0.000 0.000 0.000 1.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0632 0.9536 0.024 0.976 0.000 0.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.1765 0.9324 0.024 0.924 0.000 0.000 0.000 0.052
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.1957 0.8309 0.112 0.000 0.000 0.000 0.888 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.3773 0.7033 0.752 0.000 0.000 0.204 0.044 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 4 0.2263 0.8475 0.016 0.000 0.000 0.884 0.100 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 5 0.2826 0.7901 0.028 0.000 0.000 0.128 0.844 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.3253 0.7192 0.020 0.000 0.000 0.192 0.788 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 6 0.0000 0.8910 0.000 0.000 0.000 0.000 0.000 1.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.2383 0.8979 0.024 0.880 0.000 0.000 0.000 0.096
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 6 0.3103 0.6870 0.008 0.000 0.000 0.208 0.000 0.784
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0632 0.9536 0.024 0.976 0.000 0.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.1267 0.8938 0.000 0.000 0.000 0.940 0.060 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.9524 0.000 0.000 1.000 0.000 0.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.1003 0.8670 0.964 0.000 0.000 0.016 0.020 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 6 0.0000 0.8910 0.000 0.000 0.000 0.000 0.000 1.000
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#> E344638F-9060-460F-8F7A-60D19442F294 5 0.1503 0.8873 0.008 0.000 0.000 0.032 0.944 0.016
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.0000 0.8910 0.000 0.000 0.000 0.000 0.000 1.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0632 0.9536 0.024 0.976 0.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 4 0.4734 0.5837 0.120 0.000 0.000 0.672 0.208 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9564 0.000 1.000 0.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.9524 0.000 0.000 1.000 0.000 0.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 6 0.3398 0.6122 0.000 0.008 0.000 0.252 0.000 0.740
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0363 0.9345 0.012 0.000 0.000 0.988 0.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0713 0.9483 0.028 0.972 0.000 0.000 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0993 0.8674 0.964 0.000 0.000 0.012 0.024 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.2730 0.7578 0.808 0.000 0.000 0.000 0.192 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.0458 0.9302 0.016 0.000 0.000 0.984 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.1141 0.8560 0.948 0.000 0.000 0.000 0.052 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0146 0.9563 0.004 0.996 0.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 6 0.0000 0.8910 0.000 0.000 0.000 0.000 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.3862 0.3965 0.004 0.000 0.000 0.608 0.388 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9564 0.000 1.000 0.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9564 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.1829 0.9301 0.024 0.920 0.000 0.000 0.000 0.056
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.3189 0.7449 0.020 0.000 0.000 0.796 0.184 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0146 0.9365 0.000 0.000 0.000 0.996 0.004 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9564 0.000 1.000 0.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9564 0.000 1.000 0.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0937 0.8608 0.960 0.000 0.000 0.000 0.040 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.3841 0.4094 0.616 0.000 0.000 0.380 0.004 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.3915 0.7183 0.028 0.736 0.000 0.008 0.000 0.228
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0000 0.9169 0.000 0.000 0.000 0.000 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.1644 0.9002 0.028 0.000 0.000 0.932 0.040 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.1765 0.9324 0.024 0.924 0.000 0.000 0.000 0.052
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1092 0.8671 0.960 0.000 0.000 0.020 0.020 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "mclust"]
# you can also extract it by
# res = res_list["CV:mclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17377 rows and 265 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.746 0.891 0.950 0.4601 0.563 0.563
#> 3 3 0.933 0.906 0.964 0.2902 0.832 0.707
#> 4 4 0.706 0.754 0.839 0.1313 0.944 0.865
#> 5 5 0.655 0.601 0.727 0.0793 0.923 0.794
#> 6 6 0.660 0.669 0.751 0.0546 0.896 0.690
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.992 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.925 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.992 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.992 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.925 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.992 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.925 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.992 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.992 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.925 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.925 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.992 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.992 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.9460 0.524 0.636 0.364
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.992 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.925 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.925 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.9427 0.531 0.640 0.360
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.925 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.925 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.0000 0.992 0.000 1.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.925 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.925 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.9460 0.524 0.636 0.364
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.992 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.992 0.000 1.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.925 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.925 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.925 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.925 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.0000 0.925 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.925 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.925 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.8016 0.661 0.756 0.244
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.992 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.925 1.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 0.992 0.000 1.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.992 0.000 1.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 2 0.6887 0.740 0.184 0.816
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.925 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 1 0.9460 0.524 0.636 0.364
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.992 0.000 1.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.0672 0.984 0.008 0.992
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.0000 0.925 1.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.992 0.000 1.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.992 0.000 1.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 1 0.9460 0.524 0.636 0.364
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.8608 0.644 0.716 0.284
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.925 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.992 0.000 1.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.925 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.925 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.925 1.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.0000 0.925 1.000 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.925 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.925 1.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 1 0.9460 0.524 0.636 0.364
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.925 1.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.925 1.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.992 0.000 1.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.992 0.000 1.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.992 0.000 1.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.925 1.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.925 1.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.925 1.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.0000 0.925 1.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.925 1.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.0000 0.925 1.000 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.925 1.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0000 0.925 1.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.925 1.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.0000 0.925 1.000 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.992 0.000 1.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.992 0.000 1.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.992 0.000 1.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.992 0.000 1.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.0000 0.925 1.000 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 1 0.9460 0.524 0.636 0.364
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.925 1.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.925 1.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.992 0.000 1.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.9850 0.348 0.572 0.428
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.925 1.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.925 1.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 1 0.9460 0.524 0.636 0.364
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.0000 0.925 1.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.925 1.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.992 0.000 1.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.992 0.000 1.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.925 1.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.925 1.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.925 1.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.7453 0.733 0.788 0.212
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.992 0.000 1.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.0000 0.925 1.000 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.0000 0.925 1.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.925 1.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.925 1.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.925 1.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0000 0.925 1.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.925 1.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.992 0.000 1.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 1 0.9460 0.524 0.636 0.364
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.925 1.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.992 0.000 1.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 1 0.9460 0.524 0.636 0.364
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 1 0.9460 0.524 0.636 0.364
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0000 0.925 1.000 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 1 0.9460 0.524 0.636 0.364
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.925 1.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.992 0.000 1.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0000 0.925 1.000 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.0000 0.925 1.000 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.925 1.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 1 0.9460 0.524 0.636 0.364
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.0000 0.925 1.000 0.000
#> 7955FC55-386D-497E-AFED-019BBBAD428E 1 0.9460 0.524 0.636 0.364
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.0000 0.925 1.000 0.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0000 0.925 1.000 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 1 0.9460 0.524 0.636 0.364
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0000 0.925 1.000 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.925 1.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.925 1.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.992 0.000 1.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 1 0.9427 0.531 0.640 0.360
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.0000 0.925 1.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.925 1.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.992 0.000 1.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.0000 0.992 0.000 1.000
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.992 0.000 1.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 2 0.0000 0.992 0.000 1.000
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.992 0.000 1.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.925 1.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.992 0.000 1.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.992 0.000 1.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.925 1.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.992 0.000 1.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.0000 0.925 1.000 0.000
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.992 0.000 1.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 1 0.9393 0.538 0.644 0.356
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 1 0.9460 0.524 0.636 0.364
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.0000 0.925 1.000 0.000
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.992 0.000 1.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.0000 0.925 1.000 0.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.0000 0.925 1.000 0.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.6801 0.749 0.820 0.180
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.925 1.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.0000 0.925 1.000 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.925 1.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.4939 0.831 0.892 0.108
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.0000 0.925 1.000 0.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.925 1.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.0000 0.925 1.000 0.000
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.0000 0.925 1.000 0.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.0000 0.925 1.000 0.000
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.0000 0.925 1.000 0.000
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.0000 0.925 1.000 0.000
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0000 0.925 1.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 1 0.9460 0.524 0.636 0.364
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.0000 0.925 1.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.992 0.000 1.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.992 0.000 1.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.925 1.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 1 0.9460 0.524 0.636 0.364
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.925 1.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.925 1.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.925 1.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 1 0.9460 0.524 0.636 0.364
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.992 0.000 1.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.992 0.000 1.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.0000 0.925 1.000 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.0000 0.925 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.992 0.000 1.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.925 1.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.925 1.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.992 0.000 1.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.925 1.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0000 0.992 0.000 1.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.7745 0.686 0.772 0.228
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.992 0.000 1.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.992 0.000 1.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.0000 0.925 1.000 0.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.992 0.000 1.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0000 0.925 1.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.0000 0.925 1.000 0.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 1 0.9460 0.524 0.636 0.364
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.925 1.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.0000 0.925 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.992 0.000 1.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.992 0.000 1.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.0000 0.925 1.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.925 1.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.0000 0.925 1.000 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.925 1.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 1 0.9460 0.524 0.636 0.364
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.992 0.000 1.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.992 0.000 1.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.925 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 1 0.9460 0.524 0.636 0.364
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 1 0.9460 0.524 0.636 0.364
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0000 0.925 1.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.0000 0.925 1.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.992 0.000 1.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.925 1.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 1 0.9460 0.524 0.636 0.364
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.992 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.925 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.992 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.925 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.992 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.9460 0.524 0.636 0.364
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.992 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.992 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.992 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.925 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.925 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0000 0.925 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.0000 0.925 1.000 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.992 0.000 1.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.925 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.0000 0.925 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 1 0.9460 0.524 0.636 0.364
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0000 0.925 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.925 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.925 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 2 0.8813 0.530 0.300 0.700
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.925 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.925 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.992 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.9460 0.524 0.636 0.364
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.992 0.000 1.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0000 0.925 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.992 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.925 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.992 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.9460 0.524 0.636 0.364
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.992 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.925 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0000 0.992 0.000 1.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.925 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.925 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.925 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.925 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.925 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.925 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.992 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.992 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.925 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.925 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.992 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.992 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.992 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.925 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 2 0.4431 0.888 0.092 0.908
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.992 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.992 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.925 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.1184 0.913 0.984 0.016
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.925 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0376 0.922 0.996 0.004
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.992 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.925 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.925 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.992 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.925 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9923 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0237 0.9533 0.996 0.000 0.004
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9923 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9923 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.9559 1.000 0.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9923 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.9559 1.000 0.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9923 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9923 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.9559 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.9559 1.000 0.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9923 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9923 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.8956 0.000 0.000 1.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.9923 0.000 1.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.9559 1.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.9559 1.000 0.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.4605 0.7248 0.204 0.000 0.796
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.9559 1.000 0.000 0.000
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#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.9559 1.000 0.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0592 0.8887 0.012 0.000 0.988
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.8956 0.000 0.000 1.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.5948 0.3961 0.640 0.000 0.360
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.0000 0.9559 1.000 0.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9923 0.000 1.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.9559 1.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0000 0.8956 0.000 0.000 1.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9923 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.9559 1.000 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.9923 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.9559 1.000 0.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9923 0.000 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 0.8956 0.000 0.000 1.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9923 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9923 0.000 1.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9923 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.9559 1.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.9559 1.000 0.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0892 0.9410 0.980 0.000 0.020
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.5988 0.4622 0.368 0.000 0.632
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9923 0.000 1.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.9559 1.000 0.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.6008 0.4538 0.372 0.000 0.628
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.8956 0.000 0.000 1.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 3 0.6309 0.0367 0.500 0.000 0.500
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.9559 1.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.9559 1.000 0.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.9517 0.0184 0.472 0.208 0.320
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0237 0.9531 0.996 0.000 0.004
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.9559 1.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9923 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0000 0.8956 0.000 0.000 1.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.9923 0.000 1.000 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0237 0.9533 0.996 0.000 0.004
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9923 0.000 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.1289 0.9306 0.968 0.000 0.032
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9923 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.8956 0.000 0.000 1.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.9923 0.000 1.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.9559 1.000 0.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0000 0.9923 0.000 1.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.9559 1.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.9559 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.9559 1.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.9559 1.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.1411 0.9247 0.964 0.000 0.036
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0237 0.9533 0.996 0.000 0.004
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9923 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.9923 0.000 1.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.9559 1.000 0.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.9559 1.000 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9923 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9923 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9923 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.9559 1.000 0.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.9364 -0.1406 0.432 0.168 0.400
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9923 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9923 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9559 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.4465 0.7576 0.820 0.004 0.176
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9559 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.3816 0.7999 0.852 0.000 0.148
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9923 0.000 1.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.9559 1.000 0.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.9559 1.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9923 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9559 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.94737 0.000 1.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.3219 0.77662 0.868 0.000 0.020 0.112
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.94737 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.94737 0.000 1.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.3873 0.80604 0.772 0.000 0.000 0.228
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0188 0.94706 0.000 0.996 0.000 0.004
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.3873 0.80604 0.772 0.000 0.000 0.228
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0188 0.94706 0.000 0.996 0.000 0.004
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0817 0.93620 0.000 0.976 0.000 0.024
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.1118 0.80712 0.964 0.000 0.000 0.036
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.1389 0.80266 0.952 0.000 0.000 0.048
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0188 0.94706 0.000 0.996 0.000 0.004
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0188 0.94706 0.000 0.996 0.000 0.004
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.79740 0.000 0.000 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.2408 0.86395 0.000 0.896 0.000 0.104
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.3837 0.80766 0.776 0.000 0.000 0.224
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0336 0.81246 0.992 0.000 0.000 0.008
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.5000 0.61639 0.100 0.000 0.772 0.128
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0188 0.81512 0.996 0.000 0.000 0.004
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0469 0.81236 0.988 0.000 0.000 0.012
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.5000 -0.02172 0.000 0.500 0.000 0.500
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.2973 0.82051 0.856 0.000 0.000 0.144
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.2730 0.81592 0.896 0.000 0.016 0.088
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.79740 0.000 0.000 1.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.94737 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.1022 0.93472 0.000 0.968 0.000 0.032
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0707 0.81752 0.980 0.000 0.000 0.020
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.3837 0.80766 0.776 0.000 0.000 0.224
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.2805 0.79533 0.888 0.000 0.012 0.100
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0469 0.81658 0.988 0.000 0.000 0.012
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.3801 0.80955 0.780 0.000 0.000 0.220
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.1302 0.80404 0.956 0.000 0.000 0.044
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0188 0.81535 0.996 0.000 0.000 0.004
#> D9ABDB75-04DA-4D33-A69F-701729494533 4 0.8148 0.40409 0.260 0.036 0.192 0.512
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.1022 0.93472 0.000 0.968 0.000 0.032
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.7785 0.03620 0.440 0.008 0.184 0.368
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.5288 0.06011 0.000 0.520 0.008 0.472
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.4103 0.63644 0.000 0.744 0.000 0.256
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 4 0.8350 0.50685 0.104 0.216 0.128 0.552
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.4088 0.81107 0.764 0.000 0.004 0.232
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.79740 0.000 0.000 1.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.94737 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 4 0.6401 0.43114 0.000 0.172 0.176 0.652
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.7291 0.33380 0.164 0.004 0.540 0.292
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.1557 0.91274 0.000 0.944 0.000 0.056
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.94737 0.000 1.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.79740 0.000 0.000 1.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.7790 0.17893 0.272 0.000 0.424 0.304
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.3873 0.80604 0.772 0.000 0.000 0.228
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0188 0.94706 0.000 0.996 0.000 0.004
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.6300 0.70212 0.608 0.000 0.084 0.308
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.3873 0.80604 0.772 0.000 0.000 0.228
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.2675 0.82353 0.892 0.000 0.008 0.100
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.2546 0.77559 0.900 0.000 0.008 0.092
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.3873 0.80604 0.772 0.000 0.000 0.228
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.1302 0.80437 0.956 0.000 0.000 0.044
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.79740 0.000 0.000 1.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0921 0.80923 0.972 0.000 0.000 0.028
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0336 0.81246 0.992 0.000 0.000 0.008
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0469 0.94282 0.000 0.988 0.000 0.012
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.1022 0.93472 0.000 0.968 0.000 0.032
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.1022 0.93472 0.000 0.968 0.000 0.032
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0469 0.81205 0.988 0.000 0.000 0.012
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0188 0.81347 0.996 0.000 0.000 0.004
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0469 0.81205 0.988 0.000 0.000 0.012
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.5486 0.76202 0.720 0.000 0.080 0.200
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.5499 0.75134 0.712 0.000 0.072 0.216
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.5470 0.62714 0.736 0.000 0.148 0.116
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.3837 0.80766 0.776 0.000 0.000 0.224
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.5072 0.78054 0.740 0.000 0.052 0.208
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.1022 0.80809 0.968 0.000 0.000 0.032
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.3877 0.74285 0.840 0.000 0.048 0.112
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.94737 0.000 1.000 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0188 0.94706 0.000 0.996 0.000 0.004
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.5000 -0.00577 0.000 0.504 0.000 0.496
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0188 0.94706 0.000 0.996 0.000 0.004
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.7188 0.50971 0.552 0.000 0.244 0.204
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.79740 0.000 0.000 1.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.2345 0.82015 0.900 0.000 0.000 0.100
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0817 0.81022 0.976 0.000 0.000 0.024
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0188 0.94627 0.000 0.996 0.000 0.004
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.4491 0.39563 0.060 0.000 0.140 0.800
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.3873 0.80604 0.772 0.000 0.000 0.228
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.3837 0.80789 0.776 0.000 0.000 0.224
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0000 0.79740 0.000 0.000 1.000 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.3975 0.81099 0.760 0.000 0.000 0.240
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0469 0.81421 0.988 0.000 0.000 0.012
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.94737 0.000 1.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.94737 0.000 1.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.3801 0.80891 0.780 0.000 0.000 0.220
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.3837 0.80789 0.776 0.000 0.000 0.224
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0817 0.81026 0.976 0.000 0.000 0.024
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.6101 0.36023 0.052 0.000 0.560 0.388
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.1716 0.90576 0.000 0.936 0.000 0.064
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.7436 0.20304 0.444 0.000 0.384 0.172
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.3873 0.80604 0.772 0.000 0.000 0.228
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.3801 0.80911 0.780 0.000 0.000 0.220
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#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.2593 0.81364 0.904 0.000 0.016 0.080
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.3726 0.81146 0.788 0.000 0.000 0.212
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0188 0.94706 0.000 0.996 0.000 0.004
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0336 0.81634 0.992 0.000 0.000 0.008
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.3586 0.63357 0.000 0.736 0.000 0.264 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.4029 0.49836 0.744 0.000 0.000 0.024 0.232
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0290 0.82656 0.000 0.992 0.000 0.008 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.3074 0.70329 0.000 0.804 0.000 0.196 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.6536 0.48631 0.468 0.000 0.000 0.220 0.312
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0404 0.82097 0.000 0.988 0.000 0.012 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.6522 0.49841 0.476 0.000 0.000 0.224 0.300
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0162 0.82623 0.000 0.996 0.000 0.004 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.3967 0.61772 0.000 0.724 0.000 0.264 0.012
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0510 0.63330 0.984 0.000 0.000 0.000 0.016
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.1831 0.61826 0.920 0.000 0.000 0.004 0.076
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0162 0.82645 0.000 0.996 0.000 0.004 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0162 0.82623 0.000 0.996 0.000 0.004 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.3983 0.47291 0.000 0.660 0.000 0.340 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.5450 0.62262 0.648 0.000 0.000 0.228 0.124
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.1410 0.63075 0.940 0.000 0.000 0.000 0.060
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.6033 0.32827 0.084 0.000 0.572 0.020 0.324
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0912 0.64042 0.972 0.000 0.000 0.012 0.016
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0162 0.63887 0.996 0.000 0.000 0.000 0.004
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 4 0.4371 0.75328 0.000 0.344 0.000 0.644 0.012
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.3687 0.65643 0.792 0.000 0.000 0.180 0.028
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.4338 0.51924 0.696 0.000 0.000 0.024 0.280
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.1792 0.79859 0.000 0.916 0.000 0.084 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.1211 0.80206 0.000 0.960 0.000 0.024 0.016
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0290 0.63737 0.992 0.000 0.000 0.000 0.008
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.5555 0.61869 0.640 0.000 0.000 0.220 0.140
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.3123 0.58201 0.828 0.000 0.000 0.012 0.160
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0324 0.64231 0.992 0.000 0.000 0.004 0.004
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.6517 0.50193 0.480 0.000 0.000 0.228 0.292
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.1124 0.63280 0.960 0.000 0.000 0.004 0.036
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.1012 0.64723 0.968 0.000 0.000 0.020 0.012
#> D9ABDB75-04DA-4D33-A69F-701729494533 5 0.7306 0.33043 0.260 0.008 0.052 0.160 0.520
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.1106 0.80546 0.000 0.964 0.000 0.024 0.012
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.6388 0.08744 0.520 0.000 0.044 0.068 0.368
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 4 0.4575 0.75956 0.000 0.328 0.000 0.648 0.024
#> 655BD3AF-5094-4B19-93A8-401C70369B17 4 0.4291 0.51368 0.000 0.464 0.000 0.536 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 5 0.8030 -0.57004 0.036 0.240 0.028 0.308 0.388
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.5606 0.49372 0.556 0.000 0.000 0.084 0.360
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.1608 0.80869 0.000 0.928 0.000 0.072 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 4 0.7367 0.48381 0.000 0.156 0.124 0.544 0.176
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 5 0.7792 0.44081 0.116 0.000 0.160 0.268 0.456
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.3636 0.60070 0.000 0.728 0.000 0.272 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.1270 0.81327 0.000 0.948 0.000 0.052 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.7859 0.45951 0.192 0.000 0.092 0.308 0.408
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.5450 0.62058 0.648 0.000 0.000 0.228 0.124
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0703 0.82537 0.000 0.976 0.000 0.024 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.6402 0.28368 0.456 0.000 0.020 0.100 0.424
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.6033 0.59009 0.580 0.000 0.000 0.220 0.200
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.2448 0.63887 0.892 0.000 0.000 0.020 0.088
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.4178 0.38517 0.696 0.000 0.004 0.008 0.292
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.6485 0.51176 0.488 0.000 0.000 0.224 0.288
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0510 0.63330 0.984 0.000 0.000 0.000 0.016
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.1469 0.60904 0.948 0.000 0.000 0.016 0.036
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0324 0.64004 0.992 0.000 0.000 0.004 0.004
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.3305 0.67233 0.000 0.776 0.000 0.224 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.1117 0.80577 0.000 0.964 0.000 0.020 0.016
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.1211 0.80206 0.000 0.960 0.000 0.024 0.016
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0290 0.63936 0.992 0.000 0.000 0.000 0.008
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0162 0.63828 0.996 0.000 0.000 0.000 0.004
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0290 0.63936 0.992 0.000 0.000 0.000 0.008
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 5 0.4913 -0.28413 0.484 0.000 0.008 0.012 0.496
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.4672 0.48450 0.680 0.000 0.004 0.032 0.284
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.5108 0.11417 0.548 0.000 0.024 0.008 0.420
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.5339 0.62622 0.660 0.000 0.000 0.224 0.116
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.4577 0.52293 0.676 0.000 0.004 0.024 0.296
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0609 0.63580 0.980 0.000 0.000 0.000 0.020
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.4580 0.27416 0.628 0.000 0.008 0.008 0.356
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.3242 0.68225 0.000 0.784 0.000 0.216 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0162 0.82623 0.000 0.996 0.000 0.004 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 4 0.4451 0.75853 0.000 0.340 0.000 0.644 0.016
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0162 0.82623 0.000 0.996 0.000 0.004 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 5 0.5572 0.00574 0.404 0.000 0.036 0.020 0.540
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.3513 0.65653 0.800 0.000 0.000 0.180 0.020
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.1197 0.63207 0.952 0.000 0.000 0.000 0.048
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.3586 0.63251 0.000 0.736 0.000 0.264 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 5 0.6050 0.35114 0.020 0.004 0.064 0.364 0.548
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.6503 0.50137 0.480 0.000 0.000 0.220 0.300
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.4708 0.64438 0.712 0.000 0.000 0.220 0.068
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0162 0.93308 0.000 0.000 0.996 0.004 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.5856 0.61025 0.604 0.000 0.000 0.224 0.172
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0510 0.63707 0.984 0.000 0.000 0.016 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.1410 0.80951 0.000 0.940 0.000 0.060 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0404 0.82097 0.000 0.988 0.000 0.012 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.6030 0.58889 0.580 0.000 0.000 0.224 0.196
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.5205 0.63334 0.672 0.000 0.000 0.224 0.104
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0510 0.63330 0.984 0.000 0.000 0.000 0.016
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 5 0.7577 0.36752 0.080 0.000 0.156 0.328 0.436
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.3966 0.48171 0.000 0.664 0.000 0.336 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 5 0.5859 0.12458 0.376 0.000 0.072 0.012 0.540
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.6517 0.50246 0.480 0.000 0.000 0.228 0.292
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.5295 0.63014 0.664 0.000 0.000 0.224 0.112
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.5110 0.63431 0.680 0.000 0.000 0.224 0.096
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0162 0.64046 0.996 0.000 0.000 0.000 0.004
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0162 0.64046 0.996 0.000 0.000 0.000 0.004
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0693 0.63621 0.980 0.000 0.000 0.008 0.012
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0162 0.82623 0.000 0.996 0.000 0.004 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.5886 0.60334 0.600 0.000 0.000 0.224 0.176
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.3689 0.63507 0.000 0.740 0.000 0.256 0.004
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.1809 0.89532 0.000 0.000 0.928 0.012 0.060
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.1740 0.89742 0.000 0.000 0.932 0.012 0.056
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.5250 0.63055 0.668 0.000 0.000 0.224 0.108
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.1270 0.90495 0.000 0.000 0.948 0.000 0.052
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0671 0.63580 0.980 0.000 0.000 0.016 0.004
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0162 0.82440 0.000 0.996 0.000 0.004 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 5 0.6082 0.20215 0.444 0.000 0.016 0.076 0.464
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.6132 0.40659 0.472 0.000 0.004 0.112 0.412
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.6359 0.54274 0.520 0.000 0.000 0.220 0.260
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.1502 0.90069 0.000 0.000 0.940 0.004 0.056
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.3878 0.55056 0.748 0.000 0.000 0.016 0.236
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 5 0.4913 -0.27919 0.488 0.000 0.008 0.012 0.492
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.3274 0.54613 0.780 0.000 0.000 0.000 0.220
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0865 0.63307 0.972 0.000 0.000 0.004 0.024
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.6006 0.59151 0.584 0.000 0.000 0.220 0.196
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.1043 0.63164 0.960 0.000 0.000 0.000 0.040
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0290 0.82697 0.000 0.992 0.000 0.008 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.4766 0.61596 0.028 0.000 0.708 0.020 0.244
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.6525 0.49188 0.472 0.000 0.000 0.220 0.308
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.5205 0.63134 0.672 0.000 0.000 0.224 0.104
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0162 0.82440 0.000 0.996 0.000 0.004 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 4 0.4435 0.76017 0.000 0.336 0.000 0.648 0.016
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.82538 0.000 1.000 0.000 0.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 4 0.5701 0.73045 0.000 0.292 0.052 0.624 0.032
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.3586 0.63357 0.000 0.736 0.000 0.264 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.3910 0.65340 0.772 0.000 0.000 0.196 0.032
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.3561 0.63759 0.000 0.740 0.000 0.260 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0162 0.82440 0.000 0.996 0.000 0.004 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.3035 0.58305 0.848 0.000 0.008 0.008 0.136
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.1211 0.80206 0.000 0.960 0.000 0.024 0.016
#> 4780A59C-0589-4995-B044-3201F09AF859 5 0.7524 0.45814 0.364 0.000 0.052 0.200 0.384
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0290 0.82294 0.000 0.992 0.000 0.008 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 5 0.7293 0.25062 0.020 0.004 0.236 0.336 0.404
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.3171 0.55739 0.816 0.000 0.000 0.008 0.176
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.3612 0.62749 0.000 0.732 0.000 0.268 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.6503 0.50176 0.480 0.000 0.000 0.220 0.300
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.5923 0.41133 0.496 0.000 0.008 0.080 0.416
#> 0E22B729-C381-4B0C-9897-62DD38F51722 5 0.7471 0.30649 0.084 0.008 0.096 0.384 0.428
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.5102 0.63556 0.684 0.000 0.000 0.216 0.100
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.6355 0.48229 0.504 0.000 0.008 0.136 0.352
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0290 0.63936 0.992 0.000 0.000 0.000 0.008
#> A68B078D-8979-4070-BB4D-F526704ED3DC 5 0.7182 0.34014 0.260 0.004 0.060 0.144 0.532
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 5 0.5346 -0.26737 0.452 0.000 0.000 0.052 0.496
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0324 0.64173 0.992 0.000 0.000 0.004 0.004
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 5 0.7896 0.47132 0.188 0.000 0.104 0.284 0.424
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.6569 0.47739 0.464 0.000 0.000 0.232 0.304
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 5 0.5675 0.11363 0.424 0.000 0.052 0.012 0.512
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.3242 0.55179 0.816 0.000 0.000 0.012 0.172
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 5 0.7261 0.38676 0.388 0.000 0.048 0.156 0.408
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.5205 0.63134 0.672 0.000 0.000 0.224 0.104
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.5225 0.35192 0.508 0.000 0.008 0.028 0.456
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0162 0.82440 0.000 0.996 0.000 0.004 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.1478 0.80775 0.000 0.936 0.000 0.064 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0880 0.63577 0.968 0.000 0.000 0.000 0.032
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0162 0.64046 0.996 0.000 0.000 0.000 0.004
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.5205 0.63134 0.672 0.000 0.000 0.224 0.104
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.4387 0.40534 0.704 0.000 0.008 0.016 0.272
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.3612 0.62749 0.000 0.732 0.000 0.268 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.3612 0.62749 0.000 0.732 0.000 0.268 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 5 0.6087 0.23058 0.340 0.000 0.100 0.012 0.548
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.6354 0.54113 0.520 0.000 0.000 0.216 0.264
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.3861 0.62178 0.000 0.728 0.000 0.264 0.008
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.6545 0.48041 0.464 0.000 0.000 0.220 0.316
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.4998 0.64068 0.700 0.000 0.000 0.196 0.104
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.1300 0.79852 0.000 0.956 0.000 0.028 0.016
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.3171 0.56357 0.816 0.000 0.000 0.008 0.176
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 4 0.4588 0.72487 0.000 0.380 0.000 0.604 0.016
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 5 0.8259 0.25140 0.268 0.056 0.064 0.148 0.464
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.4218 0.47951 0.000 0.660 0.000 0.332 0.008
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0404 0.82663 0.000 0.988 0.000 0.012 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.7640 0.46636 0.148 0.000 0.100 0.292 0.460
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.3612 0.62749 0.000 0.732 0.000 0.268 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.6510 0.49924 0.484 0.000 0.000 0.232 0.284
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 5 0.6084 0.20890 0.396 0.000 0.080 0.016 0.508
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.4791 0.51679 0.652 0.000 0.008 0.024 0.316
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.6514 0.50382 0.484 0.000 0.000 0.236 0.280
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.1012 0.80829 0.000 0.968 0.000 0.020 0.012
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.4467 0.44208 0.000 0.640 0.000 0.344 0.016
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.3947 0.48281 0.748 0.000 0.008 0.008 0.236
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.5364 0.63274 0.672 0.000 0.004 0.212 0.112
#> C3921A29-80FF-4B9D-B366-5C0238A42231 5 0.5756 0.13182 0.376 0.000 0.064 0.012 0.548
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.3278 0.65850 0.824 0.000 0.000 0.156 0.020
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.2127 0.78142 0.000 0.892 0.000 0.108 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0404 0.82708 0.000 0.988 0.000 0.012 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.6525 0.49056 0.472 0.000 0.000 0.220 0.308
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.2460 0.86693 0.024 0.000 0.900 0.004 0.072
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.7818 0.50011 0.244 0.000 0.076 0.268 0.412
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.2921 0.56526 0.844 0.000 0.004 0.004 0.148
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0404 0.82097 0.000 0.988 0.000 0.012 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0510 0.63707 0.984 0.000 0.000 0.016 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.2189 0.87809 0.000 0.000 0.904 0.012 0.084
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0404 0.82663 0.000 0.988 0.000 0.012 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.5423 0.62390 0.652 0.000 0.000 0.224 0.124
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.3612 0.62749 0.000 0.732 0.000 0.268 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.4400 0.37817 0.736 0.000 0.000 0.052 0.212
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0992 0.80946 0.000 0.968 0.000 0.024 0.008
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.2648 0.74991 0.000 0.848 0.000 0.152 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0162 0.82440 0.000 0.996 0.000 0.004 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0963 0.81873 0.000 0.964 0.000 0.036 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.5504 0.62314 0.644 0.000 0.000 0.224 0.132
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.1357 0.62887 0.948 0.000 0.000 0.004 0.048
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 5 0.6166 0.38756 0.032 0.000 0.064 0.380 0.524
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.7901 0.47548 0.204 0.000 0.096 0.284 0.416
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 4 0.4651 0.70485 0.000 0.372 0.000 0.608 0.020
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.6491 0.50612 0.484 0.000 0.000 0.220 0.296
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.7917 0.47808 0.204 0.000 0.100 0.276 0.420
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 5 0.6568 0.33491 0.276 0.000 0.184 0.012 0.528
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0510 0.63707 0.984 0.000 0.000 0.016 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.5211 0.63453 0.676 0.000 0.000 0.212 0.112
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 5 0.8458 -0.31936 0.056 0.116 0.100 0.288 0.440
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.4146 0.43823 0.716 0.000 0.004 0.012 0.268
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.5205 0.63578 0.672 0.000 0.000 0.224 0.104
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0290 0.82656 0.000 0.992 0.000 0.008 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.6808 0.16033 0.004 0.000 0.424 0.328 0.244
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.4030 0.43658 0.000 0.648 0.000 0.352 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 5 0.5001 -0.27760 0.480 0.000 0.008 0.016 0.496
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0404 0.82097 0.000 0.988 0.000 0.012 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.5438 0.38186 0.576 0.000 0.028 0.024 0.372
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0880 0.82263 0.000 0.968 0.000 0.032 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.93491 0.000 0.000 1.000 0.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.3876 0.50318 0.000 0.684 0.000 0.316 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.6536 0.48631 0.468 0.000 0.000 0.220 0.312
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 4 0.6722 0.57121 0.000 0.316 0.000 0.416 0.268
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.3656 0.65516 0.784 0.000 0.000 0.196 0.020
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0290 0.63936 0.992 0.000 0.000 0.000 0.008
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.5324 0.63343 0.668 0.000 0.000 0.204 0.128
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.2338 0.65916 0.884 0.000 0.000 0.112 0.004
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.5228 0.12302 0.592 0.000 0.012 0.032 0.364
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.5046 0.33459 0.540 0.000 0.020 0.008 0.432
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.1851 0.79573 0.000 0.912 0.000 0.088 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.3966 0.48071 0.000 0.664 0.000 0.336 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.6478 0.50839 0.488 0.000 0.000 0.220 0.292
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0290 0.63936 0.992 0.000 0.000 0.000 0.008
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.1211 0.80206 0.000 0.960 0.000 0.024 0.016
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0290 0.82656 0.000 0.992 0.000 0.008 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0290 0.82631 0.000 0.992 0.000 0.008 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.6562 0.48385 0.464 0.000 0.000 0.228 0.308
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.7405 0.01621 0.000 0.112 0.088 0.412 0.388
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0162 0.82623 0.000 0.996 0.000 0.004 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0162 0.82645 0.000 0.996 0.000 0.004 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0451 0.63954 0.988 0.000 0.000 0.008 0.004
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.7424 0.42087 0.148 0.000 0.068 0.348 0.436
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0290 0.63936 0.992 0.000 0.000 0.000 0.008
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.4654 0.50444 0.732 0.000 0.028 0.024 0.216
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.3949 0.54967 0.000 0.696 0.000 0.300 0.004
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.5410 0.25988 0.676 0.000 0.004 0.140 0.180
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.5158 0.63244 0.676 0.000 0.000 0.224 0.100
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.82538 0.000 1.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.63977 1.000 0.000 0.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 6 0.1204 0.8002 0.000 0.056 0.000 0.000 0.000 0.944
#> 92298FF7-1215-4756-B976-A7D88B91AD76 4 0.6030 0.4833 0.164 0.016 0.004 0.528 0.288 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.3634 0.8906 0.000 0.644 0.000 0.000 0.000 0.356
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 6 0.2178 0.7293 0.000 0.132 0.000 0.000 0.000 0.868
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.3357 0.6581 0.052 0.040 0.000 0.844 0.064 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.3351 0.9315 0.000 0.712 0.000 0.000 0.000 0.288
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.3288 0.6610 0.052 0.036 0.000 0.848 0.064 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.3330 0.9292 0.000 0.716 0.000 0.000 0.000 0.284
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 6 0.1003 0.8113 0.020 0.016 0.000 0.000 0.000 0.964
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 4 0.5478 0.6705 0.020 0.168 0.000 0.628 0.184 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 4 0.5780 0.6273 0.016 0.160 0.000 0.560 0.264 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.3531 0.9179 0.000 0.672 0.000 0.000 0.000 0.328
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.3531 0.9039 0.000 0.672 0.000 0.000 0.000 0.328
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 6 0.0291 0.8109 0.004 0.004 0.000 0.000 0.000 0.992
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0622 0.7231 0.012 0.000 0.000 0.980 0.008 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 4 0.5281 0.6951 0.024 0.168 0.000 0.660 0.148 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.5588 0.3496 0.172 0.000 0.528 0.000 0.300 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 4 0.4819 0.7084 0.028 0.164 0.000 0.712 0.096 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 4 0.5591 0.6817 0.052 0.168 0.000 0.648 0.132 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.4199 0.6697 0.032 0.020 0.000 0.004 0.200 0.744
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 4 0.2361 0.7267 0.064 0.008 0.000 0.896 0.032 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.5479 0.6157 0.124 0.016 0.000 0.600 0.260 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 6 0.2854 0.5904 0.000 0.208 0.000 0.000 0.000 0.792
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.3373 0.9011 0.008 0.744 0.000 0.000 0.000 0.248
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 4 0.5537 0.6849 0.056 0.168 0.000 0.656 0.120 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0725 0.7236 0.012 0.000 0.000 0.976 0.012 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 4 0.5514 0.6415 0.140 0.024 0.000 0.624 0.212 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 4 0.5345 0.6967 0.056 0.140 0.000 0.680 0.124 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.3033 0.6733 0.056 0.012 0.000 0.856 0.076 0.000
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#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 6 0.4695 0.6636 0.028 0.052 0.000 0.000 0.224 0.696
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.5252 0.5762 0.732 0.028 0.008 0.124 0.052 0.056
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 6 0.2657 0.7879 0.024 0.020 0.000 0.000 0.076 0.880
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.3620 0.8921 0.000 0.648 0.000 0.000 0.000 0.352
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.2773 0.4830 0.152 0.000 0.008 0.000 0.836 0.004
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 6 0.0858 0.8111 0.004 0.028 0.000 0.000 0.000 0.968
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.3115 0.6629 0.048 0.012 0.000 0.848 0.092 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 5 0.5290 0.4682 0.232 0.000 0.004 0.152 0.612 0.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.4963 0.5187 0.240 0.000 0.000 0.636 0.124 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.2955 0.6639 0.036 0.016 0.000 0.860 0.088 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.3151 0.9107 0.000 0.748 0.000 0.000 0.000 0.252
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 6 0.2953 0.7719 0.040 0.020 0.000 0.000 0.076 0.864
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.4675 -0.0642 0.016 0.024 0.000 0.376 0.584 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.0972 0.7258 0.028 0.000 0.000 0.964 0.008 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 5 0.6096 0.4140 0.252 0.004 0.008 0.232 0.504 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 4 0.3304 0.7281 0.048 0.016 0.000 0.836 0.100 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 6 0.3266 0.4225 0.000 0.272 0.000 0.000 0.000 0.728
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.3547 0.9160 0.000 0.668 0.000 0.000 0.000 0.332
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.3291 0.6647 0.056 0.036 0.000 0.848 0.060 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.4259 0.7281 0.160 0.016 0.752 0.000 0.072 0.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.0653 0.4917 0.012 0.000 0.004 0.004 0.980 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 4 0.6050 0.5774 0.028 0.144 0.000 0.516 0.312 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.3371 0.9321 0.000 0.708 0.000 0.000 0.000 0.292
#> 6C96A851-97FC-4845-B895-D255191D9F25 4 0.5452 0.6937 0.056 0.148 0.000 0.668 0.128 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.3482 0.7947 0.128 0.016 0.816 0.000 0.040 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.3592 0.8989 0.000 0.656 0.000 0.000 0.000 0.344
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.0622 0.7229 0.012 0.000 0.000 0.980 0.008 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 6 0.0713 0.8108 0.000 0.028 0.000 0.000 0.000 0.972
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.6719 0.1353 0.456 0.100 0.000 0.328 0.116 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.3360 0.9198 0.004 0.732 0.000 0.000 0.000 0.264
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 6 0.3684 -0.1206 0.000 0.372 0.000 0.000 0.000 0.628
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.3330 0.9317 0.000 0.716 0.000 0.000 0.000 0.284
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.3620 0.8926 0.000 0.648 0.000 0.000 0.000 0.352
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.0951 0.7212 0.020 0.004 0.000 0.968 0.008 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 4 0.5358 0.6661 0.016 0.124 0.000 0.624 0.236 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 5 0.6005 0.3968 0.200 0.012 0.000 0.208 0.568 0.012
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.1129 0.4884 0.012 0.008 0.012 0.004 0.964 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 6 0.3717 0.7365 0.092 0.016 0.000 0.000 0.084 0.808
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.3216 0.6642 0.052 0.032 0.000 0.852 0.064 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.1129 0.4862 0.012 0.008 0.012 0.004 0.964 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 5 0.7357 0.3534 0.248 0.004 0.124 0.208 0.416 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 4 0.5556 0.6846 0.052 0.168 0.000 0.652 0.128 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.1462 0.7260 0.056 0.000 0.000 0.936 0.008 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.5620 0.4796 0.660 0.036 0.012 0.012 0.064 0.216
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.4582 0.0685 0.032 0.008 0.000 0.356 0.604 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 4 0.2199 0.7257 0.088 0.000 0.000 0.892 0.020 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.3747 0.8251 0.000 0.604 0.000 0.000 0.000 0.396
#> E344638F-9060-460F-8F7A-60D19442F294 5 0.6346 0.1838 0.164 0.028 0.264 0.000 0.532 0.012
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.0291 0.8109 0.004 0.004 0.000 0.000 0.000 0.992
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.5868 0.3270 0.256 0.012 0.000 0.540 0.192 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.3351 0.9315 0.000 0.712 0.000 0.000 0.000 0.288
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 4 0.5802 0.0665 0.256 0.000 0.000 0.500 0.244 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 6 0.3866 -0.5310 0.000 0.484 0.000 0.000 0.000 0.516
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 6 0.2649 0.7909 0.012 0.036 0.000 0.000 0.072 0.880
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.3419 0.6589 0.056 0.040 0.000 0.840 0.064 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 6 0.5053 0.2297 0.448 0.020 0.000 0.000 0.036 0.496
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 4 0.2994 0.7271 0.060 0.008 0.000 0.856 0.076 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 4 0.5577 0.6818 0.048 0.144 0.000 0.648 0.160 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.0603 0.7262 0.004 0.000 0.000 0.980 0.016 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 4 0.4383 0.7202 0.056 0.064 0.000 0.768 0.112 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.1657 0.4729 0.016 0.000 0.000 0.056 0.928 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.5987 -0.1730 0.240 0.000 0.000 0.424 0.336 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 6 0.2912 0.5785 0.000 0.216 0.000 0.000 0.000 0.784
#> 019B857C-D4F7-4B67-B699-56E52A60805B 6 0.0862 0.8124 0.004 0.016 0.000 0.000 0.008 0.972
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.3181 0.6631 0.044 0.028 0.000 0.852 0.076 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 4 0.5028 0.6953 0.020 0.168 0.000 0.684 0.128 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.3445 0.8967 0.012 0.744 0.000 0.000 0.000 0.244
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.3531 0.9137 0.000 0.672 0.000 0.000 0.000 0.328
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.3409 0.9257 0.000 0.700 0.000 0.000 0.000 0.300
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.3350 0.6642 0.056 0.036 0.000 0.844 0.064 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 5 0.7183 0.2300 0.316 0.032 0.008 0.048 0.460 0.136
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.3578 0.9038 0.000 0.660 0.000 0.000 0.000 0.340
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.3482 0.9196 0.000 0.684 0.000 0.000 0.000 0.316
#> F6193AF0-7A19-46CB-A818-1B01E7460791 4 0.5461 0.6857 0.048 0.168 0.000 0.660 0.124 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.4971 0.4459 0.160 0.012 0.004 0.044 0.728 0.052
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 4 0.5547 0.6762 0.044 0.124 0.000 0.644 0.188 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 4 0.5863 0.5199 0.236 0.012 0.004 0.580 0.164 0.004
#> AAD9685A-564B-42E9-91E3-431951154BA7 6 0.3246 0.7800 0.016 0.068 0.000 0.000 0.072 0.844
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.6747 0.0535 0.056 0.160 0.004 0.360 0.420 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.0717 0.7277 0.016 0.000 0.000 0.976 0.008 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.3330 0.9317 0.000 0.716 0.000 0.000 0.000 0.284
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 4 0.5399 0.6900 0.048 0.160 0.000 0.668 0.124 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "NMF"]
# you can also extract it by
# res = res_list["CV:NMF"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17377 rows and 265 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 0.802 0.848 0.940 0.460 0.555 0.555
#> 3 3 0.941 0.933 0.973 0.390 0.779 0.611
#> 4 4 0.839 0.817 0.908 0.162 0.847 0.601
#> 5 5 0.838 0.802 0.874 0.062 0.914 0.688
#> 6 6 0.847 0.855 0.902 0.043 0.937 0.720
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9585 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.9213 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9585 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9585 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.9213 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9585 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.9213 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9585 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9585 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.9213 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.9213 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9585 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9585 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.9850 0.3318 0.572 0.428
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.9585 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.9213 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.9213 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.9833 0.3418 0.576 0.424
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.9213 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.9213 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.0000 0.9585 0.000 1.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.9213 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.9213 1.000 0.000
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#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.9213 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.9213 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0000 0.9213 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.0000 0.9213 1.000 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9585 0.000 1.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.9213 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.0000 0.9213 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 1 0.9933 0.2653 0.548 0.452
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.8661 0.6019 0.712 0.288
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.9213 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.9213 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.9213 1.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.9213 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.9213 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9585 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.9775 0.3702 0.588 0.412
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.9585 0.000 1.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0000 0.9213 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9585 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.9213 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9585 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.9795 0.3609 0.584 0.416
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.9585 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.9213 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.7528 0.6866 0.216 0.784
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.9213 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.9213 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.9213 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.9213 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.9213 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.9213 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9585 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.9585 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.9213 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.9213 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9585 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9585 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9585 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.9213 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 2 0.9552 0.3658 0.376 0.624
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9585 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9585 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9213 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0000 0.9213 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9213 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.9213 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9585 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.9213 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.9213 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9585 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9213 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.989 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.4555 0.738 0.800 0.000 0.200
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.989 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.989 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.977 1.000 0.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.989 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.977 1.000 0.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.989 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.989 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.977 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.977 1.000 0.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.989 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.989 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.929 0.000 0.000 1.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.989 0.000 1.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.977 1.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.977 1.000 0.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.929 0.000 0.000 1.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.977 1.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.977 1.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.0237 0.985 0.000 0.996 0.004
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.977 1.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.977 1.000 0.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.929 0.000 0.000 1.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.989 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.989 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.977 1.000 0.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.977 1.000 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.977 1.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.977 1.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.3267 0.853 0.884 0.000 0.116
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.977 1.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.977 1.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.977 1.000 0.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.989 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.5968 0.414 0.636 0.000 0.364
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0592 0.977 0.000 0.988 0.012
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.989 0.000 1.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 3 0.0237 0.926 0.004 0.000 0.996
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.977 1.000 0.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.929 0.000 0.000 1.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.989 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.0000 0.929 0.000 0.000 1.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0000 0.929 0.000 0.000 1.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.989 0.000 1.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.989 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.929 0.000 0.000 1.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.0000 0.929 0.000 0.000 1.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.977 1.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.989 0.000 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.977 1.000 0.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.977 1.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.977 1.000 0.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.3551 0.832 0.868 0.000 0.132
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.977 1.000 0.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.977 1.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.929 0.000 0.000 1.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.977 1.000 0.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.977 1.000 0.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.989 0.000 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.989 0.000 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.989 0.000 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.977 1.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.977 1.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.977 1.000 0.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.1753 0.894 0.048 0.000 0.952
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.4399 0.756 0.812 0.000 0.188
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.3752 0.813 0.144 0.000 0.856
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.977 1.000 0.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.1289 0.948 0.968 0.000 0.032
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.977 1.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 3 0.3816 0.810 0.148 0.000 0.852
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.989 0.000 1.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.989 0.000 1.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.989 0.000 1.000 0.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.989 0.000 1.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 3 0.6204 0.332 0.424 0.000 0.576
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.929 0.000 0.000 1.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.977 1.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.977 1.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.989 0.000 1.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 3 0.6126 0.394 0.400 0.000 0.600
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.977 1.000 0.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.977 1.000 0.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0000 0.929 0.000 0.000 1.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.0000 0.977 1.000 0.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.977 1.000 0.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.989 0.000 1.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.989 0.000 1.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.977 1.000 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.977 1.000 0.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.977 1.000 0.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.0000 0.929 0.000 0.000 1.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.989 0.000 1.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 3 0.0000 0.929 0.000 0.000 1.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.2356 0.906 0.928 0.000 0.072
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.977 1.000 0.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.977 1.000 0.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.977 1.000 0.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0000 0.977 1.000 0.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.977 1.000 0.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.989 0.000 1.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0000 0.929 0.000 0.000 1.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.977 1.000 0.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.989 0.000 1.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0000 0.929 0.000 0.000 1.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0000 0.929 0.000 0.000 1.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0000 0.977 1.000 0.000 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0000 0.929 0.000 0.000 1.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.977 1.000 0.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.989 0.000 1.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0000 0.977 1.000 0.000 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 3 0.6260 0.260 0.448 0.000 0.552
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.977 1.000 0.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0000 0.929 0.000 0.000 1.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.0000 0.977 1.000 0.000 0.000
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0000 0.929 0.000 0.000 1.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.0000 0.929 0.000 0.000 1.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0000 0.977 1.000 0.000 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.0000 0.929 0.000 0.000 1.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0000 0.977 1.000 0.000 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.977 1.000 0.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.977 1.000 0.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.989 0.000 1.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0000 0.929 0.000 0.000 1.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.0000 0.977 1.000 0.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.977 1.000 0.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.989 0.000 1.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 3 0.6274 0.159 0.000 0.456 0.544
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.989 0.000 1.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.0000 0.929 0.000 0.000 1.000
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.989 0.000 1.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.977 1.000 0.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.989 0.000 1.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.989 0.000 1.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0424 0.970 0.992 0.000 0.008
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.989 0.000 1.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 3 0.4121 0.787 0.168 0.000 0.832
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.989 0.000 1.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.0000 0.929 0.000 0.000 1.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0000 0.929 0.000 0.000 1.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.0000 0.977 1.000 0.000 0.000
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.989 0.000 1.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.1860 0.927 0.948 0.000 0.052
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 3 0.6126 0.394 0.400 0.000 0.600
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.0000 0.977 1.000 0.000 0.000
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.977 1.000 0.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.0000 0.977 1.000 0.000 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.977 1.000 0.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0000 0.977 1.000 0.000 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 3 0.4605 0.743 0.204 0.000 0.796
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.977 1.000 0.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 3 0.0000 0.929 0.000 0.000 1.000
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.0000 0.977 1.000 0.000 0.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 3 0.0747 0.917 0.016 0.000 0.984
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.0000 0.977 1.000 0.000 0.000
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.4452 0.750 0.808 0.000 0.192
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0000 0.977 1.000 0.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0000 0.929 0.000 0.000 1.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 3 0.5327 0.647 0.272 0.000 0.728
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.989 0.000 1.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.989 0.000 1.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.977 1.000 0.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0000 0.929 0.000 0.000 1.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.977 1.000 0.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.977 1.000 0.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.3340 0.851 0.880 0.000 0.120
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0000 0.929 0.000 0.000 1.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.989 0.000 1.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.989 0.000 1.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.0000 0.929 0.000 0.000 1.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.5859 0.432 0.656 0.000 0.344
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.989 0.000 1.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.977 1.000 0.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.977 1.000 0.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.989 0.000 1.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.977 1.000 0.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0000 0.989 0.000 1.000 0.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0237 0.973 0.996 0.004 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.989 0.000 1.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.989 0.000 1.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 3 0.0000 0.929 0.000 0.000 1.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.989 0.000 1.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0000 0.977 1.000 0.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 3 0.0000 0.929 0.000 0.000 1.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0000 0.929 0.000 0.000 1.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.977 1.000 0.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.0000 0.977 1.000 0.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.989 0.000 1.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.989 0.000 1.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.1289 0.948 0.968 0.000 0.032
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.977 1.000 0.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.0000 0.929 0.000 0.000 1.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.977 1.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 0.929 0.000 0.000 1.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.989 0.000 1.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.989 0.000 1.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.977 1.000 0.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0000 0.929 0.000 0.000 1.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.929 0.000 0.000 1.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 3 0.0000 0.929 0.000 0.000 1.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.5650 0.511 0.688 0.000 0.312
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.989 0.000 1.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.977 1.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0000 0.929 0.000 0.000 1.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.989 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.977 1.000 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.989 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.977 1.000 0.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.989 0.000 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 0.929 0.000 0.000 1.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.989 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.989 0.000 1.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.989 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.977 1.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.977 1.000 0.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0000 0.977 1.000 0.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.0000 0.929 0.000 0.000 1.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.5327 0.621 0.000 0.728 0.272
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.977 1.000 0.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.0000 0.929 0.000 0.000 1.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.929 0.000 0.000 1.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 3 0.0000 0.929 0.000 0.000 1.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.977 1.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.977 1.000 0.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 3 0.6154 0.317 0.408 0.000 0.592
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.977 1.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.977 1.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.989 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0000 0.929 0.000 0.000 1.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.989 0.000 1.000 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.0000 0.929 0.000 0.000 1.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.989 0.000 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.6079 0.352 0.612 0.000 0.388
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.989 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.929 0.000 0.000 1.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.989 0.000 1.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.977 1.000 0.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.5178 0.643 0.256 0.744 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.977 1.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.977 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.977 1.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.977 1.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 3 0.5678 0.573 0.316 0.000 0.684
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.977 1.000 0.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.989 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.989 0.000 1.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.977 1.000 0.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.977 1.000 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.989 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.989 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.989 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.977 1.000 0.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 2 0.4931 0.679 0.232 0.768 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.989 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.989 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.977 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0592 0.967 0.988 0.000 0.012
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.977 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.977 1.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.989 0.000 1.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.977 1.000 0.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.977 1.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.989 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.977 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.1557 0.9541 0.056 0.944 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.5375 0.7347 0.744 0.000 0.116 0.140
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.1557 0.9541 0.056 0.944 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.1557 0.9541 0.056 0.944 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.1557 0.8576 0.944 0.000 0.000 0.056
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.1557 0.8576 0.944 0.000 0.000 0.056
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.8914 0.000 0.000 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1557 0.9541 0.056 0.944 0.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.1557 0.8576 0.944 0.000 0.000 0.056
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0188 0.8890 0.004 0.000 0.996 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.1557 0.8576 0.944 0.000 0.000 0.056
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.1557 0.8576 0.944 0.000 0.000 0.056
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.3090 0.9077 0.056 0.888 0.056 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.4855 0.5266 0.600 0.000 0.000 0.400
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.4585 0.4511 0.332 0.000 0.000 0.668
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.8914 0.000 0.000 1.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.1557 0.8576 0.944 0.000 0.000 0.056
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.4500 0.6672 0.684 0.000 0.000 0.316
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.4431 0.6814 0.696 0.000 0.000 0.304
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.3557 0.7940 0.036 0.000 0.108 0.856
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.1557 0.8576 0.944 0.000 0.000 0.056
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.4103 0.7284 0.744 0.000 0.000 0.256
#> D9ABDB75-04DA-4D33-A69F-701729494533 4 0.4996 -0.2322 0.484 0.000 0.000 0.516
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 3 0.7824 -0.0734 0.328 0.000 0.404 0.268
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#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.3732 0.7874 0.852 0.000 0.092 0.056
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.4522 0.6616 0.680 0.000 0.000 0.320
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0000 0.8914 0.000 0.000 1.000 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.1557 0.9541 0.056 0.944 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.4500 0.6672 0.684 0.000 0.000 0.316
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 0.8914 0.000 0.000 1.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0336 0.9689 0.008 0.992 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.1557 0.8576 0.944 0.000 0.000 0.056
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.4888 0.3657 0.412 0.000 0.588 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 3 0.5985 0.3583 0.052 0.352 0.596 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.4907 0.3467 0.420 0.000 0.580 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.8914 0.000 0.000 1.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 3 0.4134 0.5707 0.000 0.000 0.740 0.260
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.4277 0.7064 0.720 0.000 0.000 0.280
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 3 0.6819 0.4182 0.208 0.000 0.604 0.188
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.1557 0.8576 0.944 0.000 0.000 0.056
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0000 0.8914 0.000 0.000 1.000 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.1557 0.9541 0.056 0.944 0.000 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.4804 0.3821 0.000 0.000 0.384 0.616
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 4 0.5883 0.4845 0.060 0.000 0.300 0.640
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.8914 0.000 0.000 1.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.1557 0.9541 0.056 0.944 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.4104 0.8008 0.080 0.832 0.000 0.088
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.4866 0.5166 0.596 0.000 0.000 0.404
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.1557 0.8576 0.944 0.000 0.000 0.056
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.0188 0.8966 0.004 0.000 0.000 0.996
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.4500 0.6672 0.684 0.000 0.000 0.316
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.2224 0.8385 0.928 0.000 0.032 0.040
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.2376 0.8337 0.068 0.000 0.016 0.916
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.1557 0.9541 0.056 0.944 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.1557 0.8576 0.944 0.000 0.000 0.056
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 2 0.6973 0.5089 0.196 0.584 0.000 0.220
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.2216 0.8421 0.908 0.000 0.000 0.092
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.2840 0.8319 0.900 0.000 0.044 0.056
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.1557 0.8576 0.944 0.000 0.000 0.056
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.1867 0.8518 0.928 0.000 0.000 0.072
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.1302 0.9581 0.044 0.956 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.1557 0.8576 0.944 0.000 0.000 0.056
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.0000 0.8996 0.000 0.000 0.000 1.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9711 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.4222 0.7141 0.728 0.000 0.000 0.272
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.4716 0.7497 0.036 0.656 0.000 0.000 0.308
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.4605 0.6555 0.768 0.000 0.116 0.012 0.104
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.4716 0.7497 0.036 0.656 0.000 0.000 0.308
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0162 0.9240 0.004 0.000 0.000 0.996 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0290 0.9223 0.008 0.000 0.000 0.992 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.4716 0.7497 0.036 0.656 0.000 0.000 0.308
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.3876 0.8910 0.316 0.000 0.000 0.000 0.684
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.3837 0.8960 0.308 0.000 0.000 0.000 0.692
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9066 0.000 0.000 1.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.4716 0.7497 0.036 0.656 0.000 0.000 0.308
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0000 0.9242 0.000 0.000 0.000 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.3837 0.8960 0.308 0.000 0.000 0.000 0.692
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 5 0.4030 0.4403 0.000 0.000 0.352 0.000 0.648
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.4288 0.8077 0.384 0.000 0.000 0.004 0.612
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.3857 0.8936 0.312 0.000 0.000 0.000 0.688
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.7406 0.3786 0.036 0.412 0.244 0.000 0.308
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.2280 0.7723 0.880 0.000 0.000 0.120 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.5605 0.1304 0.076 0.000 0.000 0.520 0.404
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9066 0.000 0.000 1.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.3913 0.8831 0.324 0.000 0.000 0.000 0.676
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0000 0.9242 0.000 0.000 0.000 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.1469 0.7933 0.948 0.000 0.000 0.036 0.016
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.1281 0.7938 0.956 0.000 0.000 0.032 0.012
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0579 0.9190 0.008 0.000 0.008 0.984 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.3837 0.8960 0.308 0.000 0.000 0.000 0.692
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.1403 0.7847 0.952 0.000 0.000 0.024 0.024
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.3534 0.6342 0.744 0.000 0.000 0.256 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.4946 0.3324 0.596 0.000 0.368 0.036 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 3 0.5800 0.5356 0.028 0.060 0.608 0.000 0.304
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 3 0.0000 0.9066 0.000 0.000 1.000 0.000 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.4738 0.0919 0.016 0.000 0.000 0.464 0.520
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9066 0.000 0.000 1.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.0000 0.9066 0.000 0.000 1.000 0.000 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.4114 0.3418 0.000 0.000 0.624 0.000 0.376
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.4716 0.7497 0.036 0.656 0.000 0.000 0.308
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.9066 0.000 0.000 1.000 0.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.5163 0.7330 0.156 0.000 0.152 0.000 0.692
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.0703 0.9191 0.024 0.000 0.000 0.976 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0703 0.9191 0.024 0.000 0.000 0.976 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0000 0.9242 0.000 0.000 0.000 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.3837 0.8960 0.308 0.000 0.000 0.000 0.692
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.3837 0.8960 0.308 0.000 0.000 0.000 0.692
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0000 0.9242 0.000 0.000 0.000 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.3837 0.8960 0.308 0.000 0.000 0.000 0.692
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9066 0.000 0.000 1.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.1661 0.7887 0.940 0.000 0.000 0.036 0.024
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.4283 -0.4539 0.544 0.000 0.000 0.000 0.456
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.4716 0.7497 0.036 0.656 0.000 0.000 0.308
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 5 0.3857 0.8936 0.312 0.000 0.000 0.000 0.688
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.4161 0.7981 0.392 0.000 0.000 0.000 0.608
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.3857 0.8936 0.312 0.000 0.000 0.000 0.688
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.3352 0.7234 0.004 0.000 0.192 0.800 0.004
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.4918 0.6133 0.708 0.000 0.192 0.100 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.4780 0.8417 0.248 0.000 0.060 0.000 0.692
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.0609 0.9206 0.020 0.000 0.000 0.980 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.7558 0.4669 0.480 0.000 0.076 0.220 0.224
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.3837 0.8960 0.308 0.000 0.000 0.000 0.692
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.4067 0.8909 0.300 0.000 0.008 0.000 0.692
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.4716 0.7497 0.036 0.656 0.000 0.000 0.308
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.4716 0.7497 0.036 0.656 0.000 0.000 0.308
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.1364 0.8981 0.012 0.000 0.036 0.952 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.9066 0.000 0.000 1.000 0.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.2127 0.7773 0.892 0.000 0.000 0.108 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.3837 0.8960 0.308 0.000 0.000 0.000 0.692
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.4716 0.7497 0.036 0.656 0.000 0.000 0.308
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.1668 0.9003 0.032 0.000 0.028 0.940 0.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.0000 0.9242 0.000 0.000 0.000 1.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.4101 0.3833 0.628 0.000 0.000 0.372 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0000 0.9066 0.000 0.000 1.000 0.000 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.0703 0.9191 0.024 0.000 0.000 0.976 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.1364 0.7945 0.952 0.000 0.000 0.036 0.012
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 4 0.1410 0.8882 0.060 0.000 0.000 0.940 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 4 0.1270 0.8978 0.052 0.000 0.000 0.948 0.000
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#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0000 0.9242 0.000 0.000 0.000 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.3837 0.8960 0.308 0.000 0.000 0.000 0.692
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0000 0.9242 0.000 0.000 0.000 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 5 0.6397 -0.0682 0.036 0.096 0.000 0.304 0.564
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.1410 0.7431 0.940 0.000 0.000 0.000 0.060
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.3816 0.8939 0.304 0.000 0.000 0.000 0.696
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.3857 0.8936 0.312 0.000 0.000 0.000 0.688
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.1331 0.7654 0.952 0.000 0.000 0.008 0.040
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.3242 0.8052 0.000 0.784 0.000 0.000 0.216
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.3837 0.8960 0.308 0.000 0.000 0.000 0.692
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.2424 0.8125 0.132 0.000 0.000 0.868 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.8886 0.000 1.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1399 0.7888 0.952 0.000 0.000 0.028 0.020
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 6 0.2697 0.9002 0.000 0.188 0.000 0.000 0.000 0.812
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.4277 0.7593 0.732 0.000 0.124 0.000 0.144 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0146 0.9711 0.000 0.996 0.000 0.000 0.000 0.004
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 6 0.2823 0.8939 0.000 0.204 0.000 0.000 0.000 0.796
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.1092 0.8931 0.020 0.000 0.000 0.960 0.000 0.020
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.1204 0.8900 0.000 0.000 0.000 0.944 0.000 0.056
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9711 0.000 1.000 0.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 6 0.2823 0.8939 0.000 0.204 0.000 0.000 0.000 0.796
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0146 0.9350 0.000 0.000 0.000 0.000 0.996 0.004
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0000 0.9357 0.000 0.000 0.000 0.000 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0146 0.9711 0.000 0.996 0.000 0.000 0.000 0.004
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0713 0.8972 0.028 0.000 0.972 0.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 6 0.2092 0.8766 0.000 0.124 0.000 0.000 0.000 0.876
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0363 0.8977 0.000 0.000 0.000 0.988 0.000 0.012
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.0000 0.9357 0.000 0.000 0.000 0.000 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 5 0.4406 0.7028 0.008 0.000 0.140 0.000 0.736 0.116
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.3243 0.6999 0.208 0.000 0.000 0.004 0.780 0.008
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.0000 0.9357 0.000 0.000 0.000 0.000 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.2934 0.8681 0.000 0.112 0.044 0.000 0.000 0.844
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.2925 0.8482 0.860 0.000 0.000 0.080 0.052 0.008
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.5788 0.1849 0.084 0.000 0.000 0.364 0.516 0.036
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0713 0.8972 0.028 0.000 0.972 0.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0146 0.9711 0.000 0.996 0.000 0.000 0.000 0.004
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.1387 0.8881 0.068 0.000 0.000 0.000 0.932 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0865 0.8946 0.000 0.000 0.000 0.964 0.000 0.036
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.2278 0.8678 0.868 0.000 0.000 0.004 0.128 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.2051 0.8631 0.896 0.000 0.000 0.004 0.096 0.004
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.1267 0.8887 0.000 0.000 0.000 0.940 0.000 0.060
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.0000 0.9357 0.000 0.000 0.000 0.000 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.2553 0.8595 0.848 0.000 0.000 0.000 0.144 0.008
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.2843 0.7659 0.848 0.000 0.000 0.116 0.000 0.036
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0458 0.9707 0.016 0.984 0.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.4342 0.4771 0.656 0.000 0.308 0.028 0.000 0.008
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 6 0.3023 0.6877 0.000 0.004 0.212 0.000 0.000 0.784
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 3 0.2812 0.8508 0.048 0.000 0.856 0.000 0.000 0.096
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.5392 0.0297 0.000 0.000 0.000 0.448 0.440 0.112
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0146 0.8986 0.004 0.000 0.996 0.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0146 0.9711 0.000 0.996 0.000 0.000 0.000 0.004
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.0713 0.8972 0.028 0.000 0.972 0.000 0.000 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.5506 0.5000 0.008 0.000 0.580 0.000 0.268 0.144
#> C5C3241A-684C-4238-9333-9AF8630EC086 6 0.3023 0.8753 0.000 0.232 0.000 0.000 0.000 0.768
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0260 0.9688 0.000 0.992 0.000 0.000 0.000 0.008
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.8992 0.000 0.000 1.000 0.000 0.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.0972 0.9156 0.008 0.000 0.028 0.000 0.964 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.2176 0.8724 0.080 0.000 0.000 0.896 0.000 0.024
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.2660 0.8666 0.084 0.000 0.000 0.868 0.000 0.048
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0146 0.8976 0.000 0.000 0.000 0.996 0.000 0.004
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.0146 0.9349 0.004 0.000 0.000 0.000 0.996 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.0000 0.9357 0.000 0.000 0.000 0.000 1.000 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.0146 0.9350 0.000 0.000 0.000 0.000 0.996 0.004
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0713 0.8972 0.028 0.000 0.972 0.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.2402 0.8631 0.856 0.000 0.000 0.004 0.140 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 5 0.3050 0.6456 0.236 0.000 0.000 0.000 0.764 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 6 0.2854 0.8935 0.000 0.208 0.000 0.000 0.000 0.792
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 5 0.0146 0.9350 0.000 0.000 0.000 0.000 0.996 0.004
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.2838 0.7387 0.188 0.000 0.000 0.000 0.808 0.004
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.0146 0.9350 0.000 0.000 0.000 0.000 0.996 0.004
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.3344 0.8008 0.000 0.000 0.044 0.804 0.000 0.152
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.2973 0.7637 0.836 0.000 0.136 0.024 0.000 0.004
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.3051 0.8275 0.008 0.000 0.036 0.000 0.844 0.112
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.2331 0.8679 0.080 0.000 0.000 0.888 0.000 0.032
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.7244 0.5945 0.528 0.000 0.040 0.176 0.124 0.132
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.0146 0.9350 0.000 0.000 0.000 0.000 0.996 0.004
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.1675 0.9017 0.008 0.000 0.024 0.000 0.936 0.032
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 6 0.2823 0.8960 0.000 0.204 0.000 0.000 0.000 0.796
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 6 0.1501 0.8325 0.000 0.076 0.000 0.000 0.000 0.924
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0713 0.9694 0.028 0.972 0.000 0.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.2322 0.8727 0.004 0.000 0.036 0.896 0.000 0.064
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0713 0.8972 0.028 0.000 0.972 0.000 0.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.2942 0.8542 0.860 0.000 0.000 0.068 0.064 0.008
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.0146 0.9350 0.000 0.000 0.000 0.000 0.996 0.004
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 6 0.2762 0.8980 0.000 0.196 0.000 0.000 0.000 0.804
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.2737 0.8650 0.084 0.004 0.000 0.868 0.000 0.044
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.0146 0.8976 0.000 0.000 0.000 0.996 0.000 0.004
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.2901 0.7599 0.840 0.000 0.000 0.128 0.000 0.032
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.1124 0.8888 0.008 0.000 0.956 0.000 0.000 0.036
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.2457 0.8659 0.084 0.000 0.000 0.880 0.000 0.036
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.2346 0.8692 0.868 0.000 0.000 0.008 0.124 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0146 0.9711 0.000 0.996 0.000 0.000 0.000 0.004
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0146 0.9711 0.000 0.996 0.000 0.000 0.000 0.004
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 4 0.1367 0.8834 0.044 0.000 0.000 0.944 0.000 0.012
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 4 0.1950 0.8784 0.064 0.000 0.000 0.912 0.000 0.024
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.0000 0.9357 0.000 0.000 0.000 0.000 1.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 5 0.4497 0.6197 0.008 0.000 0.232 0.000 0.696 0.064
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 6 0.2527 0.9007 0.000 0.168 0.000 0.000 0.000 0.832
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.2752 0.8351 0.000 0.000 0.108 0.856 0.000 0.036
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.0865 0.8946 0.000 0.000 0.000 0.964 0.000 0.036
#> 317CD049-3151-40B7-8E88-B0B8813338D6 4 0.3778 0.5961 0.272 0.000 0.000 0.708 0.000 0.020
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.2527 0.7879 0.832 0.000 0.000 0.168 0.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 5 0.0291 0.9332 0.004 0.000 0.000 0.000 0.992 0.004
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.2402 0.8632 0.856 0.000 0.000 0.004 0.140 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.0000 0.9357 0.000 0.000 0.000 0.000 1.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0000 0.8992 0.000 0.000 1.000 0.000 0.000 0.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 4 0.0458 0.8971 0.000 0.000 0.000 0.984 0.000 0.016
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0146 0.9711 0.000 0.996 0.000 0.000 0.000 0.004
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0458 0.8992 0.016 0.000 0.984 0.000 0.000 0.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0363 0.8995 0.012 0.000 0.988 0.000 0.000 0.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 4 0.1408 0.8905 0.036 0.000 0.000 0.944 0.000 0.020
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.1398 0.8829 0.008 0.000 0.940 0.000 0.000 0.052
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.2450 0.8693 0.868 0.000 0.000 0.016 0.116 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.1806 0.8065 0.908 0.000 0.000 0.088 0.000 0.004
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.2595 0.8662 0.084 0.000 0.000 0.872 0.000 0.044
#> 51B7241E-F0BE-482A-88AE-89004BB68989 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0363 0.8996 0.012 0.000 0.988 0.000 0.000 0.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 5 0.0000 0.9357 0.000 0.000 0.000 0.000 1.000 0.000
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0713 0.8972 0.028 0.000 0.972 0.000 0.000 0.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 4 0.6896 0.3749 0.004 0.000 0.220 0.504 0.104 0.168
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 5 0.2147 0.8623 0.084 0.000 0.000 0.000 0.896 0.020
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.0363 0.8996 0.012 0.000 0.988 0.000 0.000 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 5 0.0000 0.9357 0.000 0.000 0.000 0.000 1.000 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 4 0.0260 0.8977 0.000 0.000 0.000 0.992 0.000 0.008
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 5 0.0000 0.9357 0.000 0.000 0.000 0.000 1.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0146 0.9711 0.000 0.996 0.000 0.000 0.000 0.004
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0622 0.8995 0.012 0.000 0.980 0.000 0.000 0.008
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 4 0.0363 0.8972 0.000 0.000 0.000 0.988 0.000 0.012
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 4 0.2527 0.8661 0.084 0.000 0.000 0.876 0.000 0.040
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#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9711 0.000 1.000 0.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.2473 0.8421 0.008 0.000 0.856 0.000 0.000 0.136
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.2378 0.8950 0.000 0.152 0.000 0.000 0.000 0.848
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.3825 0.7729 0.000 0.000 0.072 0.768 0.000 0.160
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 3 0.4657 0.1367 0.456 0.000 0.508 0.032 0.000 0.004
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0146 0.9711 0.000 0.996 0.000 0.000 0.000 0.004
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.1802 0.8668 0.072 0.000 0.916 0.000 0.000 0.012
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 6 0.2597 0.9019 0.000 0.176 0.000 0.000 0.000 0.824
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0458 0.8969 0.000 0.000 0.000 0.984 0.000 0.016
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.1901 0.8724 0.076 0.912 0.004 0.000 0.000 0.008
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.2939 0.8522 0.860 0.000 0.000 0.072 0.060 0.008
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 5 0.3314 0.5810 0.256 0.000 0.000 0.000 0.740 0.004
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.1644 0.8881 0.028 0.000 0.000 0.932 0.000 0.040
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.2636 0.8682 0.860 0.000 0.000 0.016 0.120 0.004
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.0146 0.9349 0.004 0.000 0.000 0.000 0.996 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.4171 0.7705 0.028 0.000 0.028 0.764 0.008 0.172
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0146 0.9711 0.000 0.996 0.000 0.000 0.000 0.004
#> 019B857C-D4F7-4B67-B699-56E52A60805B 6 0.2793 0.8964 0.000 0.200 0.000 0.000 0.000 0.800
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0458 0.8969 0.000 0.000 0.000 0.984 0.000 0.016
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0000 0.9357 0.000 0.000 0.000 0.000 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0146 0.9711 0.000 0.996 0.000 0.000 0.000 0.004
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0458 0.8969 0.000 0.000 0.000 0.984 0.000 0.016
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 6 0.5219 0.5092 0.004 0.024 0.000 0.268 0.068 0.636
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0146 0.9711 0.000 0.996 0.000 0.000 0.000 0.004
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0146 0.9711 0.000 0.996 0.000 0.000 0.000 0.004
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.2558 0.8509 0.840 0.000 0.000 0.000 0.156 0.004
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.0146 0.9349 0.004 0.000 0.000 0.000 0.996 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.0146 0.9350 0.000 0.000 0.000 0.000 0.996 0.004
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.3083 0.8555 0.828 0.000 0.000 0.000 0.132 0.040
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.4419 0.0768 0.032 0.584 0.000 0.000 0.000 0.384
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0000 0.9357 0.000 0.000 0.000 0.000 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.2668 0.7773 0.168 0.000 0.000 0.828 0.000 0.004
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0790 0.9688 0.032 0.968 0.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.2531 0.8676 0.860 0.000 0.000 0.004 0.128 0.008
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "hclust"]
# you can also extract it by
# res = res_list["MAD:hclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17377 rows and 265 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 0.350 0.769 0.865 0.4709 0.505 0.505
#> 3 3 0.351 0.661 0.812 0.1550 0.899 0.812
#> 4 4 0.510 0.492 0.724 0.2197 0.801 0.589
#> 5 5 0.566 0.653 0.724 0.1174 0.846 0.536
#> 6 6 0.659 0.651 0.789 0.0618 0.985 0.930
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.8983 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.6801 0.8130 0.820 0.180
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.8983 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.8983 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.9000 0.7241 0.684 0.316
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.1414 0.8912 0.020 0.980
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.9775 0.5886 0.588 0.412
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.8983 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.8983 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.6531 0.8170 0.832 0.168
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.7815 0.7951 0.768 0.232
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.8983 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.8983 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 2 0.9661 0.4122 0.392 0.608
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0672 0.8968 0.008 0.992
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.5178 0.8179 0.884 0.116
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.6712 0.8148 0.824 0.176
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 2 0.0376 0.8972 0.004 0.996
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.6973 0.8122 0.812 0.188
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.1184 0.8122 0.984 0.016
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.9833 0.3302 0.424 0.576
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.8042 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.9427 0.6850 0.640 0.360
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 2 0.6973 0.7531 0.188 0.812
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.8983 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.1414 0.8912 0.020 0.980
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.1184 0.8122 0.984 0.016
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.5408 0.8174 0.876 0.124
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.1184 0.8122 0.984 0.016
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.8042 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.9775 0.5886 0.588 0.412
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.3274 0.8211 0.940 0.060
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.8042 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0376 0.8066 0.996 0.004
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.1414 0.8912 0.020 0.980
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.8042 1.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.9044 0.5623 0.320 0.680
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.9795 0.0717 0.416 0.584
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 2 0.9922 -0.0661 0.448 0.552
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.9635 0.6134 0.612 0.388
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.0000 0.8983 0.000 1.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.1633 0.8881 0.024 0.976
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.9710 0.1440 0.400 0.600
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 2 0.0000 0.8983 0.000 1.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.8983 0.000 1.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.8983 0.000 1.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.0000 0.8983 0.000 1.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.8327 0.7738 0.736 0.264
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0376 0.8062 0.996 0.004
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.1414 0.8912 0.020 0.980
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.9881 0.5395 0.564 0.436
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.6247 0.8158 0.844 0.156
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.3584 0.8224 0.932 0.068
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.8207 0.7796 0.744 0.256
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.8955 0.7295 0.688 0.312
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.3431 0.8231 0.936 0.064
#> B344A530-92CD-468B-847A-DF8E25688081 2 0.5737 0.7983 0.136 0.864
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0938 0.8105 0.988 0.012
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0938 0.8105 0.988 0.012
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.8983 0.000 1.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.1414 0.8912 0.020 0.980
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.1414 0.8912 0.020 0.980
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0376 0.8059 0.996 0.004
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.7815 0.7951 0.768 0.232
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.3584 0.8222 0.932 0.068
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.9754 0.5719 0.592 0.408
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.8042 1.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.8267 0.7766 0.740 0.260
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.1414 0.8136 0.980 0.020
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.8016 0.7927 0.756 0.244
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.2948 0.8207 0.948 0.052
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.8081 0.7846 0.752 0.248
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.8983 0.000 1.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.8983 0.000 1.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.9896 -0.0306 0.440 0.560
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.8983 0.000 1.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.9552 0.6584 0.624 0.376
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 2 0.5737 0.7983 0.136 0.864
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.8042 1.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.6973 0.8160 0.812 0.188
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.8983 0.000 1.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.9552 0.6562 0.624 0.376
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.6247 0.8158 0.844 0.156
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0672 0.8088 0.992 0.008
#> CD6F9E20-B301-4663-87EC-953EDF49754F 2 0.0000 0.8983 0.000 1.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.9209 0.7116 0.664 0.336
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0376 0.8066 0.996 0.004
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.8983 0.000 1.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.1414 0.8912 0.020 0.980
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0376 0.8062 0.996 0.004
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0672 0.8086 0.992 0.008
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.6712 0.8148 0.824 0.176
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 2 0.8207 0.5685 0.256 0.744
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.8983 0.000 1.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.9661 0.6157 0.608 0.392
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.9775 0.5886 0.588 0.412
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.3274 0.8229 0.940 0.060
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.1414 0.8136 0.980 0.020
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.3114 0.8219 0.944 0.056
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0938 0.8105 0.988 0.012
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.6531 0.8170 0.832 0.168
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.8983 0.000 1.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 2 0.4815 0.8220 0.104 0.896
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.6531 0.8118 0.832 0.168
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.1184 0.8930 0.016 0.984
#> 3F0865F1-8256-4778-966F-D53637B415B6 2 0.4815 0.8243 0.104 0.896
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 2 0.4815 0.8243 0.104 0.896
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.3114 0.8220 0.944 0.056
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 2 0.0376 0.8967 0.004 0.996
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.1184 0.8123 0.984 0.016
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.8983 0.000 1.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.1414 0.8117 0.980 0.020
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.9358 0.6784 0.648 0.352
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.6531 0.8125 0.832 0.168
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 2 0.0376 0.8967 0.004 0.996
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.9087 0.7268 0.676 0.324
#> 7955FC55-386D-497E-AFED-019BBBAD428E 2 0.6973 0.7531 0.188 0.812
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.9815 0.5434 0.580 0.420
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.6801 0.8136 0.820 0.180
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 2 0.8661 0.4752 0.288 0.712
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.6973 0.8108 0.812 0.188
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.7602 0.8045 0.780 0.220
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.6801 0.8136 0.820 0.180
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.8983 0.000 1.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 2 0.0672 0.8952 0.008 0.992
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.9044 0.7198 0.680 0.320
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.1414 0.8136 0.980 0.020
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.8983 0.000 1.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.9795 0.0717 0.416 0.584
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.8983 0.000 1.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 2 0.8555 0.4923 0.280 0.720
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.8983 0.000 1.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.8042 1.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.8983 0.000 1.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.1184 0.8930 0.016 0.984
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.4815 0.8245 0.896 0.104
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.1414 0.8912 0.020 0.980
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.8081 0.7847 0.752 0.248
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.1414 0.8912 0.020 0.980
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 2 0.0376 0.8967 0.004 0.996
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 2 0.0000 0.8983 0.000 1.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.9087 0.7268 0.676 0.324
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.8983 0.000 1.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.9000 0.7241 0.684 0.316
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.9866 0.5470 0.568 0.432
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.7815 0.7951 0.768 0.232
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.6887 0.8173 0.816 0.184
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.9393 0.6716 0.644 0.356
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.3431 0.8215 0.936 0.064
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0376 0.8066 0.996 0.004
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.9775 0.5886 0.588 0.412
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.8042 1.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.9795 0.5450 0.584 0.416
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.9775 0.5886 0.588 0.412
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.9552 0.6551 0.624 0.376
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.9087 0.7268 0.676 0.324
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.9209 0.7144 0.664 0.336
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.1414 0.8136 0.980 0.020
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 2 0.5737 0.7983 0.136 0.864
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.9710 0.6015 0.600 0.400
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.8983 0.000 1.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.8983 0.000 1.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.3114 0.8223 0.944 0.056
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 2 0.6973 0.7531 0.188 0.812
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.3274 0.8211 0.940 0.060
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.7950 0.7945 0.760 0.240
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.8016 0.7871 0.756 0.244
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 2 0.0000 0.8983 0.000 1.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0376 0.8967 0.004 0.996
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0376 0.8967 0.004 0.996
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 2 0.7056 0.6769 0.192 0.808
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.9775 0.5886 0.588 0.412
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.8983 0.000 1.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.8955 0.7270 0.688 0.312
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.3114 0.8221 0.944 0.056
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.1414 0.8912 0.020 0.980
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.1633 0.8144 0.976 0.024
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.9944 -0.1737 0.456 0.544
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.1184 0.8123 0.984 0.016
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.9635 0.1906 0.388 0.612
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.8983 0.000 1.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.8267 0.7766 0.740 0.260
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0938 0.8956 0.012 0.988
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.9000 0.7241 0.684 0.316
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.9209 0.7144 0.664 0.336
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 2 0.6973 0.7531 0.188 0.812
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.4161 0.8207 0.916 0.084
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.9775 0.5886 0.588 0.412
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.1414 0.8912 0.020 0.980
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.1184 0.8932 0.016 0.984
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.8016 0.7871 0.756 0.244
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.5178 0.8179 0.884 0.116
#> C3921A29-80FF-4B9D-B366-5C0238A42231 2 0.7056 0.6769 0.192 0.808
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0376 0.8065 0.996 0.004
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 2 0.5737 0.7983 0.136 0.864
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.8983 0.000 1.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.1414 0.8912 0.020 0.980
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.9000 0.7241 0.684 0.316
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 2 0.0000 0.8983 0.000 1.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 2 0.0000 0.8983 0.000 1.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.8144 0.7821 0.748 0.252
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.7950 0.7907 0.760 0.240
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0376 0.8971 0.004 0.996
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0376 0.8066 0.996 0.004
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.0000 0.8983 0.000 1.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.8983 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.5178 0.7612 0.884 0.116
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.8983 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0376 0.8066 0.996 0.004
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0376 0.8970 0.004 0.996
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 2 0.4815 0.8284 0.104 0.896
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.8983 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.1184 0.8930 0.016 0.984
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.8983 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.8042 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.6801 0.8136 0.820 0.180
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.8909 0.7330 0.692 0.308
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.8386 0.7710 0.732 0.268
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.9795 0.0717 0.416 0.584
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.8861 0.7361 0.696 0.304
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.8144 0.7826 0.748 0.252
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 2 0.4815 0.8220 0.104 0.896
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.9635 0.6170 0.612 0.388
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0376 0.8066 0.996 0.004
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0672 0.8088 0.992 0.008
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.8042 1.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.4298 0.8238 0.912 0.088
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0376 0.8065 0.996 0.004
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.8983 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.8207 0.5523 0.256 0.744
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0672 0.8968 0.008 0.992
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.9815 0.5434 0.580 0.420
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.1414 0.8912 0.020 0.980
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.8042 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.8983 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 2 0.9635 0.3765 0.388 0.612
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.1184 0.8938 0.016 0.984
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.9000 0.7241 0.684 0.316
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.9896 -0.0306 0.440 0.560
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.8042 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.8042 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.4690 0.8258 0.900 0.100
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.6623 0.8181 0.828 0.172
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.8016 0.7871 0.756 0.244
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.9209 0.7023 0.664 0.336
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.8983 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.1414 0.8918 0.020 0.980
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.9000 0.7241 0.684 0.316
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.6712 0.8148 0.824 0.176
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.1414 0.8912 0.020 0.980
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.8983 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.8983 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.9000 0.7241 0.684 0.316
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.9922 0.5155 0.552 0.448
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.8983 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.8983 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.8042 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.8327 0.7793 0.736 0.264
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.8042 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.1184 0.8123 0.984 0.016
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.9896 -0.0306 0.440 0.560
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.9087 0.7268 0.676 0.324
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.5408 0.8256 0.876 0.124
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.8983 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1184 0.8123 0.984 0.016
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0237 0.7778 0.000 0.996 0.004
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.5506 0.7982 0.816 0.092 0.092
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.7797 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0237 0.7778 0.000 0.996 0.004
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.7457 0.7340 0.688 0.208 0.104
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.2152 0.7590 0.016 0.948 0.036
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.8565 0.6470 0.592 0.264 0.144
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.7797 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0237 0.7778 0.000 0.996 0.004
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.5028 0.8000 0.828 0.132 0.040
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.6372 0.7873 0.764 0.152 0.084
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0892 0.7750 0.000 0.980 0.020
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0424 0.7788 0.000 0.992 0.008
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.1529 0.5521 0.000 0.040 0.960
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1163 0.7712 0.000 0.972 0.028
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.3875 0.7952 0.888 0.068 0.044
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.5202 0.7983 0.820 0.136 0.044
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 2 0.6314 -0.0821 0.004 0.604 0.392
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.5497 0.7976 0.804 0.148 0.048
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0829 0.7829 0.984 0.012 0.004
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 3 0.7306 0.3601 0.044 0.340 0.616
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.1163 0.7634 0.972 0.000 0.028
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.8158 0.7117 0.636 0.228 0.136
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.5529 0.7797 0.000 0.296 0.704
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.7797 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.2152 0.7590 0.016 0.948 0.036
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0829 0.7829 0.984 0.012 0.004
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.4058 0.7954 0.880 0.076 0.044
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0592 0.7823 0.988 0.012 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0237 0.7733 0.996 0.000 0.004
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.8565 0.6470 0.592 0.264 0.144
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.2173 0.7959 0.944 0.048 0.008
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0237 0.7733 0.996 0.000 0.004
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0475 0.7763 0.992 0.004 0.004
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.2152 0.7590 0.016 0.948 0.036
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0237 0.7733 0.996 0.000 0.004
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.6912 0.0590 0.028 0.628 0.344
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.9550 0.2000 0.404 0.404 0.192
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.9527 0.2890 0.436 0.372 0.192
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.8542 0.6691 0.608 0.220 0.172
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.6095 -0.0738 0.000 0.608 0.392
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.2297 0.7540 0.020 0.944 0.036
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.9757 0.1396 0.388 0.384 0.228
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 2 0.6095 -0.0738 0.000 0.608 0.392
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0237 0.7778 0.000 0.996 0.004
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.7797 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.6095 -0.0738 0.000 0.608 0.392
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.6920 0.7740 0.732 0.164 0.104
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.3267 0.7156 0.884 0.000 0.116
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.2152 0.7590 0.016 0.948 0.036
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.8817 0.6189 0.568 0.272 0.160
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.5585 0.7878 0.812 0.096 0.092
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.2636 0.7977 0.932 0.048 0.020
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.6829 0.7749 0.736 0.168 0.096
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.7413 0.7396 0.692 0.204 0.104
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.2384 0.7990 0.936 0.056 0.008
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.5882 0.7882 0.000 0.348 0.652
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0424 0.7800 0.992 0.008 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0424 0.7800 0.992 0.008 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0237 0.7778 0.000 0.996 0.004
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#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.9843 0.3186 0.248 0.372 0.380
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.1182 0.7720 0.012 0.976 0.012
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.7457 0.7340 0.688 0.208 0.104
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.9485 0.2647 0.428 0.388 0.184
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.3192 0.7147 0.888 0.000 0.112
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0237 0.7733 0.996 0.000 0.004
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.3530 0.8038 0.900 0.068 0.032
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.4931 0.8016 0.828 0.140 0.032
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.6567 0.7808 0.752 0.160 0.088
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.7804 0.7261 0.664 0.216 0.120
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.7797 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.1491 0.7677 0.016 0.968 0.016
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.7457 0.7340 0.688 0.208 0.104
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.5202 0.7983 0.820 0.136 0.044
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.2152 0.7590 0.016 0.948 0.036
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.7797 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0424 0.7788 0.000 0.992 0.008
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.7457 0.7340 0.688 0.208 0.104
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.8679 0.5894 0.556 0.316 0.128
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.7797 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.7797 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0237 0.7733 0.996 0.000 0.004
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.6778 0.7745 0.732 0.188 0.080
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0237 0.7733 0.996 0.000 0.004
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0983 0.7837 0.980 0.016 0.004
#> AAD9685A-564B-42E9-91E3-431951154BA7 1 0.9152 0.2361 0.428 0.428 0.144
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.7756 0.7426 0.672 0.200 0.128
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.4007 0.8052 0.880 0.084 0.036
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0424 0.7788 0.000 0.992 0.008
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0983 0.7837 0.980 0.016 0.004
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0188 0.852610 0.000 0.996 0.004 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.5285 -0.228392 0.524 0.008 0.000 0.468
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0188 0.852610 0.000 0.996 0.004 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.7461 -0.043983 0.508 0.060 0.052 0.380
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.2216 0.828865 0.000 0.908 0.000 0.092
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.7807 0.325737 0.420 0.072 0.060 0.448
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0188 0.852610 0.000 0.996 0.004 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.5257 -0.125927 0.548 0.008 0.000 0.444
#> 1F101D63-478B-40B9-A951-DC3887CFF067 4 0.5388 0.388601 0.456 0.012 0.000 0.532
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0921 0.851619 0.000 0.972 0.000 0.028
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.1474 0.845778 0.000 0.948 0.000 0.052
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.3182 0.618021 0.004 0.004 0.860 0.132
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1820 0.836673 0.000 0.944 0.020 0.036
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.4119 0.555420 0.796 0.012 0.004 0.188
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.5250 -0.121137 0.552 0.008 0.000 0.440
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 2 0.7917 -0.458012 0.004 0.396 0.364 0.236
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.5407 -0.261085 0.504 0.012 0.000 0.484
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.1637 0.639313 0.940 0.000 0.000 0.060
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 3 0.8208 0.247628 0.020 0.332 0.432 0.216
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.1716 0.615791 0.936 0.000 0.000 0.064
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.6782 0.452571 0.400 0.060 0.016 0.524
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.3611 0.761216 0.000 0.080 0.860 0.060
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.2216 0.828865 0.000 0.908 0.000 0.092
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.1637 0.639313 0.940 0.000 0.000 0.060
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.4201 0.545534 0.788 0.012 0.004 0.196
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.1022 0.648438 0.968 0.000 0.000 0.032
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0592 0.644447 0.984 0.000 0.000 0.016
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.7807 0.325737 0.420 0.072 0.060 0.448
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.3257 0.582683 0.844 0.004 0.000 0.152
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0817 0.644061 0.976 0.000 0.000 0.024
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0336 0.645798 0.992 0.000 0.000 0.008
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.2216 0.828865 0.000 0.908 0.000 0.092
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0921 0.638033 0.972 0.000 0.000 0.028
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.7202 0.207427 0.008 0.576 0.256 0.160
#> 655BD3AF-5094-4B19-93A8-401C70369B17 4 0.8107 0.421016 0.152 0.156 0.104 0.588
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 4 0.7826 0.465513 0.168 0.120 0.100 0.612
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.6795 0.548486 0.296 0.036 0.056 0.612
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.7756 -0.451860 0.000 0.400 0.364 0.236
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.2345 0.823290 0.000 0.900 0.000 0.100
#> 619F37D2-6771-4727-9079-56BED07F1CF6 4 0.8375 0.367294 0.140 0.128 0.168 0.564
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 2 0.7756 -0.451860 0.000 0.400 0.364 0.236
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0188 0.852610 0.000 0.996 0.004 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.7756 -0.451860 0.000 0.400 0.364 0.236
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 4 0.5811 0.472830 0.408 0.020 0.008 0.564
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.3577 0.543609 0.832 0.000 0.012 0.156
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.2216 0.828865 0.000 0.908 0.000 0.092
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.7714 0.390642 0.388 0.072 0.056 0.484
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.5199 0.466709 0.700 0.008 0.020 0.272
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.3626 0.552657 0.812 0.004 0.000 0.184
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 4 0.5582 0.473632 0.400 0.024 0.000 0.576
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.7389 -0.033444 0.516 0.056 0.052 0.376
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.3157 0.590476 0.852 0.004 0.000 0.144
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.4410 0.784128 0.000 0.128 0.808 0.064
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0817 0.647406 0.976 0.000 0.000 0.024
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0817 0.647406 0.976 0.000 0.000 0.024
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0188 0.852610 0.000 0.996 0.004 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.2216 0.828865 0.000 0.908 0.000 0.092
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.2216 0.828865 0.000 0.908 0.000 0.092
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.1118 0.643340 0.964 0.000 0.000 0.036
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 4 0.5388 0.388601 0.456 0.012 0.000 0.532
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.3539 0.558373 0.820 0.004 0.000 0.176
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.7129 0.543480 0.304 0.032 0.080 0.584
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0921 0.638033 0.972 0.000 0.000 0.028
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 4 0.5626 0.488458 0.388 0.020 0.004 0.588
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.1637 0.642448 0.940 0.000 0.000 0.060
#> 251094BE-C33D-44F0-BD98-8618D71F520C 4 0.5404 0.342138 0.476 0.012 0.000 0.512
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.2973 0.594434 0.856 0.000 0.000 0.144
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 4 0.5508 0.467634 0.408 0.020 0.000 0.572
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0188 0.852610 0.000 0.996 0.004 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.1474 0.845778 0.000 0.948 0.000 0.052
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 4 0.7930 0.452186 0.160 0.136 0.100 0.604
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.6525 0.490118 0.384 0.060 0.008 0.548
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.4410 0.784128 0.000 0.128 0.808 0.064
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.3324 0.545264 0.852 0.000 0.012 0.136
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.5669 0.057306 0.600 0.024 0.004 0.372
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0188 0.852610 0.000 0.996 0.004 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.7751 -0.268379 0.444 0.072 0.056 0.428
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.5199 0.466709 0.700 0.008 0.020 0.272
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.1118 0.641363 0.964 0.000 0.000 0.036
#> CD6F9E20-B301-4663-87EC-953EDF49754F 2 0.7756 -0.451860 0.000 0.400 0.364 0.236
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.7344 -0.100237 0.500 0.064 0.040 0.396
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0469 0.645294 0.988 0.000 0.000 0.012
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.2216 0.828865 0.000 0.908 0.000 0.092
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.3577 0.543609 0.832 0.000 0.012 0.156
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.2081 0.640988 0.916 0.000 0.000 0.084
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.5250 -0.121137 0.552 0.008 0.000 0.440
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.9543 0.297089 0.112 0.260 0.316 0.312
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0188 0.852610 0.000 0.996 0.004 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.7810 -0.300166 0.440 0.072 0.060 0.428
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.7807 0.325737 0.420 0.072 0.060 0.448
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.3455 0.609919 0.852 0.012 0.004 0.132
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.1474 0.643971 0.948 0.000 0.000 0.052
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.2831 0.610088 0.876 0.004 0.000 0.120
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0817 0.647406 0.976 0.000 0.000 0.024
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.5257 -0.125927 0.548 0.008 0.000 0.444
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.1474 0.845778 0.000 0.948 0.000 0.052
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.6359 0.736201 0.000 0.220 0.648 0.132
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.5325 0.453934 0.692 0.008 0.024 0.276
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.2081 0.834116 0.000 0.916 0.000 0.084
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.4849 0.775785 0.000 0.164 0.772 0.064
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.4804 0.776656 0.000 0.160 0.776 0.064
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.3105 0.619858 0.868 0.012 0.000 0.120
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.7344 0.522566 0.000 0.380 0.460 0.160
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.1576 0.643438 0.948 0.004 0.000 0.048
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.1474 0.845778 0.000 0.948 0.000 0.052
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.2814 0.577368 0.868 0.000 0.000 0.132
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.6854 0.511279 0.348 0.028 0.056 0.568
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.5521 0.418551 0.672 0.008 0.028 0.292
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.7338 0.529506 0.000 0.376 0.464 0.160
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 4 0.6529 0.448499 0.408 0.044 0.016 0.532
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.3611 0.761216 0.000 0.080 0.860 0.060
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 4 0.7168 0.545681 0.284 0.036 0.084 0.596
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.5257 -0.134887 0.548 0.008 0.000 0.444
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 4 0.9422 0.071941 0.136 0.216 0.232 0.416
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.5399 -0.214703 0.520 0.012 0.000 0.468
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.5592 0.188867 0.608 0.008 0.016 0.368
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.5257 -0.134887 0.548 0.008 0.000 0.444
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.7454 0.517989 0.000 0.376 0.448 0.176
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.7469 -0.056741 0.504 0.060 0.052 0.384
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.1557 0.644338 0.944 0.000 0.000 0.056
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.1474 0.845778 0.000 0.948 0.000 0.052
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 4 0.8107 0.421016 0.152 0.156 0.104 0.588
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 4 0.9474 0.052338 0.136 0.236 0.224 0.404
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.3324 0.545264 0.852 0.000 0.012 0.136
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0188 0.852610 0.000 0.996 0.004 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.2149 0.831080 0.000 0.912 0.000 0.088
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.4825 0.354251 0.700 0.008 0.004 0.288
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.2216 0.828865 0.000 0.908 0.000 0.092
#> 4780A59C-0589-4995-B044-3201F09AF859 4 0.5526 0.455605 0.416 0.020 0.000 0.564
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.2149 0.830213 0.000 0.912 0.000 0.088
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.7480 0.515401 0.000 0.376 0.444 0.180
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 2 0.7756 -0.451860 0.000 0.400 0.364 0.236
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 4 0.6529 0.448499 0.408 0.044 0.016 0.532
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0188 0.852610 0.000 0.996 0.004 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.7461 -0.043983 0.508 0.060 0.052 0.380
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 4 0.7787 0.373194 0.396 0.072 0.060 0.472
#> 0E22B729-C381-4B0C-9897-62DD38F51722 4 0.5388 0.388601 0.456 0.012 0.000 0.532
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.4769 0.311926 0.684 0.008 0.000 0.308
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 4 0.6776 0.531614 0.328 0.028 0.056 0.588
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.3402 0.569145 0.832 0.004 0.000 0.164
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0336 0.645798 0.992 0.000 0.000 0.008
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 4 0.7807 0.325737 0.420 0.072 0.060 0.448
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.3324 0.545264 0.852 0.000 0.012 0.136
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 4 0.8485 0.395326 0.312 0.232 0.032 0.424
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 4 0.7807 0.325737 0.420 0.072 0.060 0.448
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 4 0.7093 0.494336 0.372 0.104 0.008 0.516
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 4 0.6529 0.448499 0.408 0.044 0.016 0.532
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 4 0.6343 0.418635 0.428 0.044 0.008 0.520
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.1557 0.644338 0.944 0.000 0.000 0.056
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.4410 0.784128 0.000 0.128 0.808 0.064
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.7862 0.303802 0.432 0.076 0.060 0.432
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.1474 0.845778 0.000 0.948 0.000 0.052
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.2973 0.595564 0.856 0.000 0.000 0.144
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.3611 0.761216 0.000 0.080 0.860 0.060
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.3306 0.578221 0.840 0.004 0.000 0.156
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 4 0.5406 0.332832 0.480 0.012 0.000 0.508
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 4 0.5535 0.449987 0.420 0.020 0.000 0.560
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 2 0.7756 -0.451860 0.000 0.400 0.364 0.236
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.1182 0.846212 0.000 0.968 0.016 0.016
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.1182 0.846212 0.000 0.968 0.016 0.016
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 4 0.9105 -0.177343 0.088 0.200 0.300 0.412
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.7809 0.316815 0.424 0.072 0.060 0.444
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0188 0.852610 0.000 0.996 0.004 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.7398 -0.033692 0.512 0.056 0.052 0.380
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.3105 0.617347 0.868 0.012 0.000 0.120
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.2216 0.828865 0.000 0.908 0.000 0.092
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.2831 0.597538 0.876 0.004 0.000 0.120
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 4 0.8428 0.420827 0.292 0.272 0.024 0.412
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.1743 0.640521 0.940 0.004 0.000 0.056
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 4 0.8307 0.347243 0.136 0.192 0.108 0.564
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 4 0.5626 0.488458 0.388 0.020 0.004 0.588
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.1624 0.832289 0.000 0.952 0.020 0.028
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.7461 -0.043983 0.508 0.060 0.052 0.380
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 4 0.6343 0.418635 0.428 0.044 0.008 0.520
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.3611 0.761216 0.000 0.080 0.860 0.060
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.3345 0.612780 0.860 0.012 0.004 0.124
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.7807 0.325737 0.420 0.072 0.060 0.448
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.2216 0.828865 0.000 0.908 0.000 0.092
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.2799 0.777914 0.000 0.884 0.008 0.108
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 4 0.5535 0.449987 0.420 0.020 0.000 0.560
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.4119 0.555420 0.796 0.012 0.004 0.188
#> C3921A29-80FF-4B9D-B366-5C0238A42231 4 0.9105 -0.177343 0.088 0.200 0.300 0.412
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.1716 0.646046 0.936 0.000 0.000 0.064
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.4410 0.784128 0.000 0.128 0.808 0.064
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.2081 0.832462 0.000 0.916 0.000 0.084
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.7461 -0.043983 0.508 0.060 0.052 0.380
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 2 0.7756 -0.451860 0.000 0.400 0.364 0.236
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 2 0.7756 -0.451860 0.000 0.400 0.364 0.236
#> CED15676-B901-4FC8-9C8D-51E529D9441D 4 0.5550 0.438263 0.428 0.020 0.000 0.552
#> 827232CC-8035-440C-8B12-02C789C70B1B 4 0.5543 0.406829 0.444 0.012 0.004 0.540
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.1022 0.850887 0.000 0.968 0.000 0.032
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0336 0.645798 0.992 0.000 0.000 0.008
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.7756 -0.451860 0.000 0.400 0.364 0.236
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.7494 0.204899 0.500 0.000 0.264 0.236
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0188 0.852610 0.000 0.996 0.004 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0336 0.645798 0.992 0.000 0.000 0.008
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.1557 0.844615 0.000 0.944 0.000 0.056
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.6855 0.729150 0.008 0.216 0.624 0.152
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0188 0.852610 0.000 0.996 0.004 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.2081 0.834110 0.000 0.916 0.000 0.084
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.3479 0.543253 0.840 0.000 0.012 0.148
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.5281 -0.189902 0.528 0.008 0.000 0.464
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.7314 0.000900 0.524 0.052 0.052 0.372
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 4 0.5919 0.477553 0.404 0.020 0.012 0.564
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 4 0.8107 0.421016 0.152 0.156 0.104 0.588
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.7312 0.000873 0.524 0.056 0.048 0.372
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 4 0.5689 0.461909 0.412 0.020 0.004 0.564
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.6359 0.736201 0.000 0.220 0.648 0.132
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.7969 -0.288818 0.440 0.076 0.068 0.416
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0469 0.645294 0.988 0.000 0.000 0.012
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.1118 0.641363 0.964 0.000 0.000 0.036
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0921 0.638033 0.972 0.000 0.000 0.028
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.4072 0.433308 0.748 0.000 0.000 0.252
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.1637 0.645869 0.940 0.000 0.000 0.060
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 4 0.9030 -0.281221 0.084 0.352 0.180 0.384
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.1820 0.836673 0.000 0.944 0.020 0.036
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.7168 0.545681 0.284 0.036 0.084 0.596
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.2216 0.828865 0.000 0.908 0.000 0.092
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0921 0.638033 0.972 0.000 0.000 0.028
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.8935 0.366544 0.084 0.164 0.400 0.352
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.1724 0.831952 0.000 0.948 0.020 0.032
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.7461 -0.043983 0.508 0.060 0.052 0.380
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 4 0.7930 0.452186 0.160 0.136 0.100 0.604
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.3324 0.545264 0.852 0.000 0.012 0.136
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.1022 0.644222 0.968 0.000 0.000 0.032
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.3402 0.590377 0.832 0.004 0.000 0.164
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.5693 0.176023 0.644 0.036 0.004 0.316
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 4 0.5535 0.449987 0.420 0.020 0.000 0.560
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.5530 0.533766 0.336 0.032 0.000 0.632
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.2007 0.826812 0.004 0.940 0.020 0.036
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.7461 -0.043983 0.508 0.060 0.052 0.380
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.5250 -0.121137 0.552 0.008 0.000 0.440
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.2216 0.828865 0.000 0.908 0.000 0.092
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.1474 0.845778 0.000 0.948 0.000 0.052
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.7461 -0.043983 0.508 0.060 0.052 0.380
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.8490 0.324816 0.392 0.140 0.060 0.408
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.853788 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0921 0.643755 0.972 0.000 0.000 0.028
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.6316 -0.319733 0.476 0.048 0.004 0.472
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.1022 0.644222 0.968 0.000 0.000 0.032
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.1743 0.640521 0.940 0.004 0.000 0.056
#> AAD9685A-564B-42E9-91E3-431951154BA7 4 0.8375 0.384935 0.160 0.204 0.088 0.548
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 4 0.6529 0.448499 0.408 0.044 0.016 0.532
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.3681 0.572922 0.816 0.008 0.000 0.176
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.1474 0.845778 0.000 0.948 0.000 0.052
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1576 0.643438 0.948 0.004 0.000 0.048
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0162 0.94225 0.000 0.996 0.004 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.6784 0.36997 0.352 0.000 0.000 0.280 0.368
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.94319 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0162 0.94225 0.000 0.996 0.004 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.3840 0.68585 0.192 0.016 0.004 0.784 0.004
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.2597 0.90509 0.000 0.872 0.004 0.004 0.120
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.4523 0.66940 0.132 0.012 0.016 0.788 0.052
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0162 0.94346 0.000 0.996 0.000 0.000 0.004
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0162 0.94225 0.000 0.996 0.004 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.6712 0.52204 0.300 0.000 0.000 0.276 0.424
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.6730 0.53948 0.212 0.004 0.000 0.364 0.420
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.1121 0.93982 0.000 0.956 0.000 0.000 0.044
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.1430 0.93613 0.000 0.944 0.004 0.000 0.052
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.5339 0.52450 0.000 0.000 0.660 0.116 0.224
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.2419 0.90716 0.000 0.904 0.028 0.004 0.064
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.4310 0.27404 0.604 0.000 0.000 0.392 0.004
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.6766 0.49952 0.320 0.000 0.000 0.284 0.396
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.7934 0.70555 0.000 0.232 0.448 0.196 0.124
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.6690 0.55084 0.268 0.000 0.000 0.300 0.432
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.2304 0.77855 0.908 0.000 0.000 0.048 0.044
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 5 0.8374 -0.30910 0.000 0.304 0.232 0.148 0.316
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.2054 0.76025 0.920 0.000 0.000 0.052 0.028
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#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.3442 0.73654 0.836 0.000 0.000 0.060 0.104
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 4 0.8004 -0.02148 0.088 0.184 0.008 0.424 0.296
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.2228 0.78195 0.912 0.000 0.000 0.048 0.040
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 5 0.7389 0.37546 0.024 0.120 0.084 0.196 0.576
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.94319 0.000 1.000 0.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.6318 0.57111 0.168 0.000 0.000 0.344 0.488
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.1617 0.91947 0.000 0.948 0.020 0.020 0.012
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.3840 0.68585 0.192 0.016 0.004 0.784 0.004
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 4 0.6194 0.36663 0.196 0.008 0.000 0.588 0.208
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0865 0.66679 0.000 0.000 0.972 0.024 0.004
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.3861 0.57493 0.728 0.000 0.000 0.264 0.008
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.4523 0.66940 0.132 0.012 0.016 0.788 0.052
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.2597 0.90509 0.000 0.872 0.004 0.004 0.120
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.3519 0.82407 0.000 0.828 0.008 0.028 0.136
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.6504 0.56035 0.168 0.004 0.000 0.368 0.460
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.4310 0.27404 0.604 0.000 0.000 0.392 0.004
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.8472 0.32862 0.028 0.076 0.360 0.308 0.228
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.1965 0.76849 0.904 0.000 0.000 0.096 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.1872 0.69280 0.000 0.020 0.928 0.052 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.94319 0.000 1.000 0.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.2284 0.91767 0.000 0.896 0.004 0.004 0.096
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.3840 0.68585 0.192 0.016 0.004 0.784 0.004
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.7918 0.70698 0.000 0.236 0.448 0.196 0.120
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.7897 0.70983 0.000 0.236 0.452 0.192 0.120
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.6559 0.56813 0.180 0.004 0.000 0.356 0.460
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.6617 0.57125 0.200 0.000 0.004 0.328 0.468
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.1270 0.93785 0.000 0.948 0.000 0.000 0.052
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0798 0.79040 0.976 0.000 0.000 0.016 0.008
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.7918 0.70698 0.000 0.236 0.448 0.196 0.120
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.94319 0.000 1.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.7647 0.34000 0.456 0.000 0.076 0.208 0.260
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0162 0.94225 0.000 0.996 0.004 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0992 0.79172 0.968 0.000 0.000 0.024 0.008
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.1697 0.93339 0.000 0.932 0.008 0.000 0.060
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.5275 0.71786 0.008 0.088 0.724 0.164 0.016
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0162 0.94225 0.000 0.996 0.004 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.2124 0.92061 0.000 0.900 0.000 0.004 0.096
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0162 0.94346 0.000 0.996 0.000 0.000 0.004
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.3828 0.71061 0.808 0.000 0.000 0.120 0.072
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.6715 0.52735 0.292 0.000 0.000 0.284 0.424
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.4159 0.67151 0.216 0.016 0.004 0.756 0.008
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.6711 0.55480 0.148 0.004 0.012 0.364 0.472
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 5 0.6886 0.40941 0.028 0.088 0.064 0.200 0.620
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.3974 0.67555 0.208 0.016 0.004 0.768 0.004
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.6596 0.55917 0.160 0.004 0.004 0.368 0.464
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.4858 0.72717 0.000 0.092 0.748 0.144 0.016
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.4988 0.67738 0.156 0.016 0.024 0.756 0.048
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0693 0.79068 0.980 0.000 0.000 0.008 0.012
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.1341 0.77961 0.944 0.000 0.000 0.056 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.1041 0.77786 0.964 0.000 0.000 0.032 0.004
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.5528 0.38830 0.644 0.000 0.000 0.140 0.216
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.2020 0.76630 0.900 0.000 0.000 0.100 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0162 0.94346 0.000 0.996 0.000 0.000 0.004
#> E344638F-9060-460F-8F7A-60D19442F294 5 0.8757 -0.33924 0.016 0.204 0.240 0.180 0.360
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.2419 0.90716 0.000 0.904 0.028 0.004 0.064
#> A5199E3A-9D67-4543-88AB-24398C98E38E 5 0.6679 0.39314 0.084 0.000 0.048 0.396 0.472
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.2548 0.90754 0.000 0.876 0.004 0.004 0.116
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.1041 0.77786 0.964 0.000 0.000 0.032 0.004
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.94319 0.000 1.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.7436 0.33923 0.016 0.044 0.468 0.136 0.336
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.1721 0.91940 0.000 0.944 0.020 0.020 0.016
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.3840 0.68585 0.192 0.016 0.004 0.784 0.004
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 5 0.6459 0.42334 0.032 0.048 0.064 0.208 0.648
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.3471 0.71329 0.836 0.000 0.000 0.092 0.072
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.1741 0.78698 0.936 0.000 0.000 0.024 0.040
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.4763 0.60883 0.712 0.000 0.000 0.212 0.076
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.6220 -0.22261 0.476 0.004 0.000 0.396 0.124
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.6504 0.56035 0.168 0.004 0.000 0.368 0.460
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.6260 0.49865 0.152 0.000 0.000 0.372 0.476
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.94319 0.000 1.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.1904 0.91435 0.000 0.936 0.020 0.028 0.016
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.3840 0.68585 0.192 0.016 0.004 0.784 0.004
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.6766 0.49952 0.320 0.000 0.000 0.284 0.396
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.2597 0.90509 0.000 0.872 0.004 0.004 0.120
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0162 0.94346 0.000 0.996 0.000 0.000 0.004
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.1430 0.93613 0.000 0.944 0.004 0.000 0.052
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.3840 0.68585 0.192 0.016 0.004 0.784 0.004
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.5574 0.62223 0.128 0.080 0.016 0.732 0.044
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.94319 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.94319 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.1549 0.78803 0.944 0.000 0.000 0.016 0.040
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.6598 0.22477 0.244 0.012 0.000 0.532 0.212
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.1741 0.78698 0.936 0.000 0.000 0.024 0.040
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.2228 0.78195 0.912 0.000 0.000 0.048 0.040
#> AAD9685A-564B-42E9-91E3-431951154BA7 5 0.7394 0.37820 0.032 0.144 0.060 0.188 0.576
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 4 0.6432 0.30529 0.176 0.008 0.004 0.564 0.248
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.4588 0.61268 0.720 0.000 0.000 0.220 0.060
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.1430 0.93613 0.000 0.944 0.004 0.000 0.052
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1992 0.78645 0.924 0.000 0.000 0.044 0.032
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0458 0.91891 0.000 0.984 0.000 0.000 0.000 0.016
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.5043 0.54007 0.248 0.000 0.004 0.100 0.644 0.004
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.92348 0.000 1.000 0.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0458 0.91891 0.000 0.984 0.000 0.000 0.000 0.016
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.1829 0.73001 0.036 0.000 0.000 0.928 0.028 0.008
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.2714 0.86805 0.000 0.848 0.004 0.000 0.012 0.136
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.3855 0.72437 0.016 0.000 0.032 0.812 0.112 0.028
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0146 0.92388 0.000 0.996 0.000 0.000 0.000 0.004
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0458 0.91891 0.000 0.984 0.000 0.000 0.000 0.016
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.3917 0.62462 0.204 0.000 0.000 0.012 0.752 0.032
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.4114 0.66074 0.108 0.000 0.004 0.116 0.768 0.004
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.1219 0.91869 0.000 0.948 0.000 0.000 0.004 0.048
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.1511 0.91580 0.000 0.940 0.004 0.000 0.012 0.044
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 6 0.4693 -0.03572 0.000 0.000 0.392 0.040 0.004 0.564
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.2763 0.86410 0.000 0.868 0.036 0.000 0.008 0.088
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.4631 0.19617 0.528 0.000 0.000 0.440 0.020 0.012
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.4054 0.60515 0.220 0.000 0.000 0.020 0.736 0.024
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.6197 0.59541 0.000 0.156 0.640 0.048 0.104 0.052
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.3665 0.66079 0.172 0.000 0.000 0.012 0.784 0.032
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.2868 0.78412 0.852 0.000 0.000 0.032 0.112 0.004
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.6265 0.31164 0.016 0.276 0.060 0.064 0.008 0.576
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.1059 0.77604 0.964 0.000 0.000 0.016 0.004 0.016
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.5230 0.51774 0.036 0.004 0.008 0.608 0.320 0.024
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.3411 0.27442 0.000 0.000 0.756 0.008 0.004 0.232
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.92348 0.000 1.000 0.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.2714 0.86805 0.000 0.848 0.004 0.000 0.012 0.136
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.2868 0.78412 0.852 0.000 0.000 0.032 0.112 0.004
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.4642 0.15541 0.516 0.000 0.000 0.452 0.020 0.012
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.2006 0.79993 0.904 0.000 0.000 0.016 0.080 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.1387 0.79773 0.932 0.000 0.000 0.000 0.068 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.3855 0.72437 0.016 0.000 0.032 0.812 0.112 0.028
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.3766 0.59528 0.684 0.000 0.000 0.000 0.304 0.012
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.1610 0.79555 0.916 0.000 0.000 0.000 0.084 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.1141 0.79773 0.948 0.000 0.000 0.000 0.052 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.2714 0.86805 0.000 0.848 0.004 0.000 0.012 0.136
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0692 0.79019 0.976 0.000 0.000 0.000 0.020 0.004
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.5961 -0.13152 0.008 0.520 0.052 0.048 0.004 0.368
#> 655BD3AF-5094-4B19-93A8-401C70369B17 5 0.6136 0.34133 0.004 0.060 0.060 0.012 0.560 0.304
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 5 0.5322 0.39086 0.008 0.004 0.056 0.012 0.588 0.332
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.5266 0.54585 0.020 0.000 0.048 0.164 0.704 0.064
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.6128 0.59739 0.000 0.160 0.644 0.044 0.100 0.052
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.2833 0.85827 0.000 0.836 0.004 0.000 0.012 0.148
#> 619F37D2-6771-4727-9079-56BED07F1CF6 5 0.6684 0.28417 0.004 0.032 0.136 0.028 0.524 0.276
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.6187 0.59547 0.000 0.160 0.640 0.048 0.100 0.052
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0458 0.91891 0.000 0.984 0.000 0.000 0.000 0.016
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0260 0.92402 0.000 0.992 0.000 0.000 0.000 0.008
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.6128 0.59739 0.000 0.160 0.644 0.044 0.100 0.052
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.3524 0.66684 0.056 0.000 0.012 0.104 0.824 0.004
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.3419 0.72155 0.824 0.000 0.000 0.072 0.008 0.096
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.2714 0.86805 0.000 0.848 0.004 0.000 0.012 0.136
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.4705 0.67569 0.016 0.000 0.036 0.736 0.172 0.040
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.4619 0.22820 0.388 0.000 0.000 0.576 0.012 0.024
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.3883 0.55613 0.656 0.000 0.000 0.000 0.332 0.012
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.3514 0.67930 0.068 0.000 0.008 0.080 0.832 0.012
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.1989 0.72960 0.052 0.000 0.004 0.916 0.028 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.4150 0.68506 0.724 0.000 0.000 0.036 0.228 0.012
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.3089 0.34914 0.000 0.000 0.800 0.008 0.004 0.188
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#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.1349 0.91629 0.000 0.940 0.000 0.000 0.004 0.056
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.1141 0.79773 0.948 0.000 0.000 0.000 0.052 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.6187 0.59547 0.000 0.160 0.640 0.048 0.100 0.052
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.92348 0.000 1.000 0.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.5654 0.18906 0.488 0.000 0.004 0.104 0.008 0.396
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0458 0.91891 0.000 0.984 0.000 0.000 0.000 0.016
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.1267 0.79860 0.940 0.000 0.000 0.000 0.060 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.1707 0.91292 0.000 0.928 0.004 0.000 0.012 0.056
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.3485 0.50801 0.000 0.024 0.844 0.080 0.024 0.028
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0363 0.92024 0.000 0.988 0.000 0.000 0.000 0.012
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.2214 0.89621 0.000 0.892 0.004 0.000 0.012 0.092
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0146 0.92388 0.000 0.996 0.000 0.000 0.000 0.004
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.3189 0.72817 0.840 0.000 0.000 0.056 0.008 0.096
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.4082 0.63872 0.192 0.000 0.000 0.028 0.752 0.028
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.2375 0.72588 0.060 0.000 0.000 0.896 0.036 0.008
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.3615 0.66610 0.056 0.000 0.016 0.104 0.820 0.004
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 5 0.6136 0.34133 0.004 0.060 0.060 0.012 0.560 0.304
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.2101 0.72319 0.052 0.000 0.000 0.912 0.028 0.008
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.3401 0.66961 0.064 0.000 0.008 0.104 0.824 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.3083 0.51147 0.000 0.024 0.872 0.052 0.024 0.028
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.3641 0.73274 0.032 0.000 0.036 0.840 0.064 0.028
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.1327 0.79740 0.936 0.000 0.000 0.000 0.064 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.1515 0.79197 0.944 0.000 0.000 0.028 0.020 0.008
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0692 0.79019 0.976 0.000 0.000 0.000 0.020 0.004
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.4093 0.38844 0.584 0.000 0.000 0.000 0.404 0.012
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.2275 0.77278 0.888 0.000 0.000 0.096 0.008 0.008
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0146 0.92388 0.000 0.996 0.000 0.000 0.000 0.004
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.7749 0.32998 0.000 0.148 0.364 0.048 0.344 0.096
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.2763 0.86410 0.000 0.868 0.036 0.000 0.008 0.088
#> A5199E3A-9D67-4543-88AB-24398C98E38E 5 0.5565 0.52448 0.016 0.000 0.072 0.164 0.680 0.068
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.2673 0.87106 0.000 0.852 0.004 0.000 0.012 0.132
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0692 0.79019 0.976 0.000 0.000 0.000 0.020 0.004
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.92348 0.000 1.000 0.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.6413 0.26585 0.000 0.016 0.512 0.032 0.308 0.132
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.2057 0.88818 0.000 0.920 0.016 0.016 0.004 0.044
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.1829 0.73001 0.036 0.000 0.000 0.928 0.028 0.008
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 5 0.5561 0.37919 0.004 0.020 0.056 0.012 0.580 0.328
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.2476 0.73880 0.880 0.000 0.000 0.024 0.004 0.092
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.1863 0.79064 0.896 0.000 0.000 0.000 0.104 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.5023 0.63048 0.656 0.000 0.000 0.156 0.184 0.004
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.6454 -0.09626 0.372 0.000 0.000 0.368 0.240 0.020
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.3347 0.67004 0.068 0.000 0.004 0.104 0.824 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.4866 0.62266 0.060 0.000 0.020 0.132 0.744 0.044
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.92348 0.000 1.000 0.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.2233 0.88324 0.000 0.912 0.020 0.020 0.004 0.044
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.1829 0.73001 0.036 0.000 0.000 0.928 0.028 0.008
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.4054 0.60515 0.220 0.000 0.000 0.020 0.736 0.024
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.2714 0.86805 0.000 0.848 0.004 0.000 0.012 0.136
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0146 0.92388 0.000 0.996 0.000 0.000 0.000 0.004
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.1511 0.91580 0.000 0.940 0.004 0.000 0.012 0.044
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.1829 0.73001 0.036 0.000 0.000 0.928 0.028 0.008
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.4757 0.69440 0.016 0.064 0.032 0.776 0.088 0.024
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.92348 0.000 1.000 0.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.92348 0.000 1.000 0.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.1765 0.79356 0.904 0.000 0.000 0.000 0.096 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.6063 0.21499 0.100 0.004 0.000 0.456 0.408 0.032
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.1863 0.79064 0.896 0.000 0.000 0.000 0.104 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.2278 0.78310 0.868 0.000 0.000 0.004 0.128 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 5 0.6460 0.28001 0.004 0.124 0.056 0.012 0.568 0.236
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 4 0.5607 0.29634 0.036 0.004 0.008 0.472 0.448 0.032
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.4937 0.63502 0.668 0.000 0.000 0.164 0.164 0.004
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.1511 0.91580 0.000 0.940 0.004 0.000 0.012 0.044
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.2100 0.78953 0.884 0.000 0.000 0.004 0.112 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 17377 rows and 265 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 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 0.837 0.904 0.957 0.4596 0.525 0.525
#> 3 3 0.926 0.925 0.955 0.4373 0.708 0.493
#> 4 4 0.698 0.743 0.839 0.1128 0.840 0.576
#> 5 5 0.726 0.734 0.788 0.0668 0.912 0.683
#> 6 6 0.738 0.688 0.779 0.0400 0.936 0.714
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9104 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.9805 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9104 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9104 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.9805 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9104 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.9805 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9104 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9104 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.9805 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.9805 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9104 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9104 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.9754 0.1839 0.592 0.408
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.9104 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.9805 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.9805 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.9970 -0.0484 0.532 0.468
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.9805 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.9805 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.9393 0.5463 0.356 0.644
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.9805 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.9805 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.9850 0.1105 0.572 0.428
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9104 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9104 0.000 1.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.9805 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.9805 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.9805 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.9805 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.0000 0.9805 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.9805 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.9805 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.9805 1.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9104 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.9805 1.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.6887 0.7767 0.184 0.816
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9104 0.000 1.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.0000 0.9805 1.000 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.9805 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.9795 0.4212 0.416 0.584
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9104 0.000 1.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.9087 0.6202 0.324 0.676
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.0000 0.9805 1.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.9104 0.000 1.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9104 0.000 1.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.9044 0.6268 0.320 0.680
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.0000 0.9805 1.000 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.9805 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9104 0.000 1.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.9805 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.9805 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.9805 1.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.0000 0.9805 1.000 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.9805 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.9805 1.000 0.000
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#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.9805 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.9805 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9104 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9104 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9104 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.9805 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.0000 0.9805 1.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9104 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9104 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9805 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0000 0.9805 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9805 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.9805 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9104 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.9805 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.9805 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9104 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9805 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9854 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.9601 1.000 0.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9854 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9854 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 3 0.1529 0.9385 0.040 0.000 0.960
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0892 0.9850 0.000 0.980 0.020
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.1031 0.9431 0.024 0.000 0.976
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0892 0.9850 0.000 0.980 0.020
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9854 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.9601 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.5431 0.5634 0.716 0.000 0.284
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0747 0.9851 0.000 0.984 0.016
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0892 0.9850 0.000 0.980 0.020
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.1129 0.9436 0.020 0.004 0.976
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0592 0.9812 0.000 0.988 0.012
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0892 0.9542 0.980 0.000 0.020
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.2261 0.8969 0.932 0.000 0.068
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.1647 0.9437 0.036 0.004 0.960
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.9601 1.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.9601 1.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 3 0.6226 0.6738 0.028 0.252 0.720
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0747 0.9557 0.984 0.000 0.016
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 3 0.4796 0.7597 0.220 0.000 0.780
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.1129 0.9436 0.020 0.004 0.976
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9854 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0892 0.9850 0.000 0.980 0.020
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.9601 1.000 0.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.1163 0.9499 0.972 0.000 0.028
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.9601 1.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.9601 1.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.0892 0.9431 0.020 0.000 0.980
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.9601 1.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.9601 1.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.9601 1.000 0.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0892 0.9850 0.000 0.980 0.020
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.9601 1.000 0.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 3 0.5623 0.6293 0.004 0.280 0.716
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0892 0.9850 0.000 0.980 0.020
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.0000 0.9601 1.000 0.000 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 3 0.2356 0.9299 0.072 0.000 0.928
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.1774 0.9428 0.024 0.016 0.960
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0892 0.9850 0.000 0.980 0.020
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.1774 0.9428 0.024 0.016 0.960
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.1411 0.9438 0.036 0.000 0.964
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.9854 0.000 1.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9854 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.1636 0.9423 0.020 0.016 0.964
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.1529 0.9430 0.040 0.000 0.960
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0892 0.9542 0.980 0.000 0.020
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0892 0.9850 0.000 0.980 0.020
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 3 0.1411 0.9402 0.036 0.000 0.964
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.5621 0.5545 0.692 0.000 0.308
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.9601 1.000 0.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.3340 0.8912 0.120 0.000 0.880
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 3 0.4931 0.7417 0.232 0.000 0.768
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.9601 1.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.1774 0.9428 0.024 0.016 0.960
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.9601 1.000 0.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.9601 1.000 0.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.9854 0.000 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0892 0.9850 0.000 0.980 0.020
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0892 0.9850 0.000 0.980 0.020
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.9601 1.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.9601 1.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.9601 1.000 0.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.0892 0.9431 0.020 0.000 0.980
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.9601 1.000 0.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.2165 0.9342 0.064 0.000 0.936
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0892 0.9542 0.980 0.000 0.020
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0000 0.9601 1.000 0.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.9601 1.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 3 0.5327 0.7013 0.272 0.000 0.728
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0237 0.9853 0.000 0.996 0.004
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0892 0.9850 0.000 0.980 0.020
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.6543 0.4252 0.016 0.640 0.344
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9854 0.000 1.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 3 0.1163 0.9425 0.028 0.000 0.972
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.1774 0.9428 0.024 0.016 0.960
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0892 0.9542 0.980 0.000 0.020
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.9601 1.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.9854 0.000 1.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 3 0.1129 0.9436 0.020 0.004 0.976
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.5678 0.5367 0.684 0.000 0.316
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0892 0.9542 0.980 0.000 0.020
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.1774 0.9428 0.024 0.016 0.960
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 3 0.3412 0.8722 0.124 0.000 0.876
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.9601 1.000 0.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9854 0.000 1.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0747 0.9851 0.000 0.984 0.016
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0892 0.9542 0.980 0.000 0.020
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0892 0.9542 0.980 0.000 0.020
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.9601 1.000 0.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.1529 0.9430 0.040 0.000 0.960
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.9854 0.000 1.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 3 0.0892 0.9431 0.020 0.000 0.980
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 3 0.0892 0.9431 0.020 0.000 0.980
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0892 0.9542 0.980 0.000 0.020
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0892 0.9542 0.980 0.000 0.020
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.9601 1.000 0.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0000 0.9601 1.000 0.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.9601 1.000 0.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0892 0.9850 0.000 0.980 0.020
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.1774 0.9428 0.024 0.016 0.960
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.1031 0.9524 0.976 0.000 0.024
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0892 0.9850 0.000 0.980 0.020
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.1774 0.9428 0.024 0.016 0.960
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.1774 0.9428 0.024 0.016 0.960
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0892 0.9542 0.980 0.000 0.020
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.1774 0.9428 0.024 0.016 0.960
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.9601 1.000 0.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0892 0.9850 0.000 0.980 0.020
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0000 0.9601 1.000 0.000 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 3 0.0892 0.9431 0.020 0.000 0.980
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.6008 0.3981 0.628 0.000 0.372
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.1774 0.9428 0.024 0.016 0.960
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 3 0.1411 0.9445 0.036 0.000 0.964
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.1636 0.9423 0.020 0.016 0.964
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.1411 0.9438 0.036 0.000 0.964
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0237 0.9580 0.996 0.000 0.004
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.1529 0.9430 0.040 0.000 0.960
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0237 0.9580 0.996 0.000 0.004
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.1031 0.9524 0.976 0.000 0.024
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.9601 1.000 0.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.9854 0.000 1.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.1751 0.9436 0.028 0.012 0.960
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 3 0.1529 0.9385 0.040 0.000 0.960
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0892 0.9542 0.980 0.000 0.020
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0892 0.9850 0.000 0.980 0.020
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 3 0.6229 0.4872 0.008 0.340 0.652
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0892 0.9850 0.000 0.980 0.020
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.1781 0.9404 0.020 0.020 0.960
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.9854 0.000 1.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0747 0.9557 0.984 0.000 0.016
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.9854 0.000 1.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0892 0.9850 0.000 0.980 0.020
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.9601 1.000 0.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0892 0.9850 0.000 0.980 0.020
#> 4780A59C-0589-4995-B044-3201F09AF859 3 0.1529 0.9430 0.040 0.000 0.960
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0892 0.9850 0.000 0.980 0.020
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.1774 0.9428 0.024 0.016 0.960
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.1774 0.9428 0.024 0.016 0.960
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 3 0.2165 0.9341 0.064 0.000 0.936
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.9854 0.000 1.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 3 0.0892 0.9431 0.020 0.000 0.980
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 3 0.0892 0.9431 0.020 0.000 0.980
#> 0E22B729-C381-4B0C-9897-62DD38F51722 3 0.2537 0.9237 0.080 0.000 0.920
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0237 0.9591 0.996 0.000 0.004
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 3 0.2625 0.9081 0.084 0.000 0.916
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.9601 1.000 0.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0000 0.9601 1.000 0.000 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 3 0.0892 0.9431 0.020 0.000 0.980
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0747 0.9557 0.984 0.000 0.016
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 3 0.1529 0.9430 0.040 0.000 0.960
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 3 0.1411 0.9402 0.036 0.000 0.964
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 3 0.4654 0.7965 0.208 0.000 0.792
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 3 0.2066 0.9362 0.060 0.000 0.940
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.5948 0.3769 0.640 0.000 0.360
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0892 0.9542 0.980 0.000 0.020
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.1774 0.9428 0.024 0.016 0.960
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 3 0.0892 0.9431 0.020 0.000 0.980
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0892 0.9850 0.000 0.980 0.020
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.9854 0.000 1.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.9601 1.000 0.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.1636 0.9423 0.020 0.016 0.964
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.9601 1.000 0.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.9601 1.000 0.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0237 0.9580 0.996 0.000 0.004
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.1647 0.9437 0.036 0.004 0.960
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.9854 0.000 1.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.9854 0.000 1.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.1289 0.9445 0.032 0.000 0.968
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 3 0.0892 0.9431 0.020 0.000 0.980
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.9854 0.000 1.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 3 0.5529 0.6267 0.296 0.000 0.704
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0747 0.9557 0.984 0.000 0.016
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0892 0.9850 0.000 0.980 0.020
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.9601 1.000 0.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.2356 0.9131 0.000 0.928 0.072
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.9601 1.000 0.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0892 0.9850 0.000 0.980 0.020
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9854 0.000 1.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 3 0.1529 0.9430 0.040 0.000 0.960
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.9854 0.000 1.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 3 0.1411 0.9402 0.036 0.000 0.964
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 3 0.4178 0.8220 0.172 0.000 0.828
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.1636 0.9423 0.020 0.016 0.964
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.1289 0.9477 0.968 0.000 0.032
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 3 0.1031 0.9431 0.024 0.000 0.976
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0892 0.9850 0.000 0.980 0.020
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.9854 0.000 1.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.5431 0.5634 0.716 0.000 0.284
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0892 0.9542 0.980 0.000 0.020
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.1163 0.9445 0.028 0.000 0.972
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0747 0.9557 0.984 0.000 0.016
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.1774 0.9428 0.024 0.016 0.960
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.9854 0.000 1.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0892 0.9850 0.000 0.980 0.020
#> 266DAF30-CF3E-493E-8B24-3931D0039450 3 0.1411 0.9402 0.036 0.000 0.964
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.1647 0.9437 0.036 0.004 0.960
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.1774 0.9428 0.024 0.016 0.960
#> CED15676-B901-4FC8-9C8D-51E529D9441D 3 0.6252 0.3062 0.444 0.000 0.556
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.1643 0.9424 0.044 0.000 0.956
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0747 0.9851 0.000 0.984 0.016
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.9601 1.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.1774 0.9428 0.024 0.016 0.960
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9854 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0892 0.9542 0.980 0.000 0.020
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.9854 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.9601 1.000 0.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0892 0.9850 0.000 0.980 0.020
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0892 0.9431 0.020 0.000 0.980
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9854 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0892 0.9850 0.000 0.980 0.020
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9854 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0892 0.9542 0.980 0.000 0.020
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.5560 0.5285 0.700 0.000 0.300
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 3 0.1529 0.9385 0.040 0.000 0.960
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.1529 0.9430 0.040 0.000 0.960
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0892 0.9850 0.000 0.980 0.020
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 3 0.3551 0.8648 0.132 0.000 0.868
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.1529 0.9430 0.040 0.000 0.960
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.1636 0.9400 0.016 0.020 0.964
#> 22863A57-F066-4DD1-A859-4336F43D144C 3 0.0892 0.9431 0.020 0.000 0.980
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.9601 1.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0747 0.9557 0.984 0.000 0.016
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.9601 1.000 0.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.9601 1.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0892 0.9542 0.980 0.000 0.020
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0237 0.9854 0.000 0.996 0.004
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.1529 0.9430 0.040 0.000 0.960
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.3816 0.8190 0.000 0.852 0.148
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.1289 0.9445 0.032 0.000 0.968
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0892 0.9850 0.000 0.980 0.020
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0892 0.9542 0.980 0.000 0.020
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9854 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.1647 0.9437 0.036 0.004 0.960
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.9854 0.000 1.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 3 0.1411 0.9402 0.036 0.000 0.964
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.2772 0.8826 0.916 0.080 0.004
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0747 0.9557 0.984 0.000 0.016
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.9601 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0747 0.9557 0.984 0.000 0.016
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.9601 1.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 3 0.6225 0.3422 0.432 0.000 0.568
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 3 0.4750 0.7857 0.216 0.000 0.784
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9854 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.9854 0.000 1.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 3 0.4062 0.8308 0.164 0.000 0.836
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.9601 1.000 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0892 0.9850 0.000 0.980 0.020
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0424 0.9854 0.000 0.992 0.008
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0892 0.9850 0.000 0.980 0.020
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 3 0.3412 0.8722 0.124 0.000 0.876
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.0892 0.9431 0.020 0.000 0.980
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9854 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9854 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9601 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.4291 0.8127 0.180 0.000 0.820
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9601 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.9601 1.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0892 0.9850 0.000 0.980 0.020
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.6295 -0.0198 0.528 0.000 0.472
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0892 0.9542 0.980 0.000 0.020
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0892 0.9850 0.000 0.980 0.020
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9601 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.2216 0.91643 0.000 0.908 0.000 0.092
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.2266 0.77032 0.912 0.000 0.004 0.084
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0188 0.94493 0.000 0.996 0.000 0.004
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.2216 0.91643 0.000 0.908 0.000 0.092
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.4456 0.66682 0.004 0.000 0.280 0.716
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.1302 0.94464 0.000 0.956 0.000 0.044
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.4857 0.63883 0.008 0.000 0.324 0.668
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0921 0.94582 0.000 0.972 0.000 0.028
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.2216 0.91643 0.000 0.908 0.000 0.092
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0779 0.79980 0.980 0.000 0.004 0.016
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.4410 0.66678 0.808 0.000 0.064 0.128
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.1211 0.94473 0.000 0.960 0.000 0.040
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.1716 0.94186 0.000 0.936 0.000 0.064
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0707 0.84261 0.000 0.000 0.980 0.020
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.6729 0.51253 0.000 0.588 0.284 0.128
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.4193 0.52021 0.268 0.000 0.000 0.732
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.3390 0.71704 0.852 0.000 0.016 0.132
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.85174 0.000 0.000 1.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0779 0.79980 0.980 0.000 0.004 0.016
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0592 0.80075 0.984 0.000 0.000 0.016
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 3 0.6905 0.52157 0.016 0.176 0.640 0.168
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.3219 0.77446 0.836 0.000 0.000 0.164
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.6925 0.49215 0.328 0.000 0.128 0.544
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0336 0.84901 0.000 0.000 0.992 0.008
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0188 0.94493 0.000 0.996 0.000 0.004
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.1940 0.93965 0.000 0.924 0.000 0.076
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0592 0.80075 0.984 0.000 0.000 0.016
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.3444 0.60433 0.184 0.000 0.000 0.816
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.3219 0.78374 0.836 0.000 0.000 0.164
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.3219 0.77446 0.836 0.000 0.000 0.164
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.4877 0.63613 0.008 0.000 0.328 0.664
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0592 0.80075 0.984 0.000 0.000 0.016
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.3219 0.77446 0.836 0.000 0.000 0.164
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.3074 0.77882 0.848 0.000 0.000 0.152
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.1302 0.94464 0.000 0.956 0.000 0.044
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.3726 0.74149 0.788 0.000 0.000 0.212
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 3 0.7796 0.25936 0.016 0.316 0.496 0.172
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.2345 0.93785 0.000 0.900 0.000 0.100
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.0779 0.79756 0.980 0.000 0.004 0.016
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.5905 0.50471 0.700 0.000 0.156 0.144
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0188 0.85103 0.000 0.000 0.996 0.004
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.1211 0.94473 0.000 0.960 0.000 0.040
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.2300 0.79186 0.016 0.000 0.920 0.064
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.3142 0.70698 0.008 0.000 0.860 0.132
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.2216 0.91643 0.000 0.908 0.000 0.092
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0469 0.94571 0.000 0.988 0.000 0.012
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0188 0.85103 0.000 0.000 0.996 0.004
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.4990 0.45648 0.352 0.000 0.640 0.008
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.4431 0.46880 0.304 0.000 0.000 0.696
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.1940 0.93965 0.000 0.924 0.000 0.076
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.4978 0.64110 0.012 0.000 0.324 0.664
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.4996 0.60916 0.192 0.000 0.056 0.752
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.1743 0.78650 0.940 0.000 0.004 0.056
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.6661 0.35328 0.604 0.000 0.264 0.132
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.4956 0.69275 0.056 0.000 0.188 0.756
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0592 0.80075 0.984 0.000 0.000 0.016
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0188 0.85103 0.000 0.000 0.996 0.004
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.3219 0.78374 0.836 0.000 0.000 0.164
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#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.4605 0.62613 0.000 0.000 0.336 0.664
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.3172 0.77607 0.840 0.000 0.000 0.160
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.4500 0.56214 0.684 0.000 0.000 0.316
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.3726 0.72564 0.788 0.000 0.000 0.212
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0469 0.80083 0.988 0.000 0.000 0.012
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.4790 0.43836 0.620 0.000 0.000 0.380
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.94537 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.2944 0.74028 0.128 0.000 0.868 0.004
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.6770 0.49489 0.000 0.580 0.292 0.128
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.2654 0.74471 0.004 0.000 0.888 0.108
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.1940 0.93965 0.000 0.924 0.000 0.076
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.4877 0.36912 0.592 0.000 0.000 0.408
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0188 0.94493 0.000 0.996 0.000 0.004
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0188 0.85103 0.000 0.000 0.996 0.004
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.2408 0.91796 0.000 0.896 0.000 0.104
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.4844 0.65778 0.012 0.000 0.300 0.688
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.3894 0.74664 0.844 0.068 0.000 0.088
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.3219 0.77446 0.836 0.000 0.000 0.164
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.3172 0.77686 0.840 0.000 0.000 0.160
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.3528 0.75319 0.808 0.000 0.000 0.192
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.3219 0.77446 0.836 0.000 0.000 0.164
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.5000 0.61692 0.772 0.000 0.100 0.128
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.5816 0.52128 0.708 0.000 0.144 0.148
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0188 0.94493 0.000 0.996 0.000 0.004
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.2216 0.91643 0.000 0.908 0.000 0.092
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.4800 0.69192 0.044 0.000 0.196 0.760
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.2125 0.77577 0.920 0.000 0.004 0.076
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.1940 0.93965 0.000 0.924 0.000 0.076
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0592 0.94636 0.000 0.984 0.000 0.016
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.1716 0.94186 0.000 0.936 0.000 0.064
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.4635 0.68785 0.028 0.000 0.216 0.756
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.4877 0.63613 0.008 0.000 0.328 0.664
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.94537 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.94537 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.3172 0.77686 0.840 0.000 0.000 0.160
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.7133 0.54411 0.280 0.000 0.172 0.548
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.3172 0.77686 0.840 0.000 0.000 0.160
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.1792 0.80041 0.932 0.000 0.000 0.068
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.2081 0.93988 0.000 0.916 0.000 0.084
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.6133 0.39680 0.644 0.000 0.088 0.268
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.4855 0.39449 0.600 0.000 0.000 0.400
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.1716 0.94186 0.000 0.936 0.000 0.064
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.2814 0.78788 0.868 0.000 0.000 0.132
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.3536 0.8145 0.000 0.812 0.000 0.032 0.156
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.5204 0.7603 0.368 0.000 0.000 0.052 0.580
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0404 0.8747 0.000 0.988 0.000 0.000 0.012
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.3536 0.8145 0.000 0.812 0.000 0.032 0.156
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.1894 0.8474 0.008 0.000 0.072 0.920 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.2825 0.8730 0.000 0.860 0.000 0.016 0.124
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.3058 0.8347 0.000 0.000 0.096 0.860 0.044
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.2305 0.8784 0.000 0.896 0.000 0.012 0.092
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.3536 0.8145 0.000 0.812 0.000 0.032 0.156
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.4504 0.6883 0.428 0.000 0.000 0.008 0.564
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.5538 0.7765 0.308 0.000 0.008 0.072 0.612
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.2305 0.8773 0.000 0.896 0.000 0.012 0.092
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.3229 0.8715 0.000 0.840 0.000 0.032 0.128
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0955 0.9004 0.000 0.000 0.968 0.004 0.028
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.7433 0.4112 0.000 0.480 0.244 0.060 0.216
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.3003 0.7292 0.188 0.000 0.000 0.812 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.5322 0.7754 0.320 0.000 0.000 0.072 0.608
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.1478 0.8984 0.000 0.000 0.936 0.000 0.064
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.4604 0.6872 0.428 0.000 0.000 0.012 0.560
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.4415 -0.2005 0.604 0.000 0.000 0.008 0.388
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 3 0.8320 0.4544 0.088 0.132 0.488 0.060 0.232
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0880 0.7454 0.968 0.000 0.000 0.032 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.6157 -0.0341 0.084 0.000 0.016 0.480 0.420
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0771 0.9026 0.000 0.000 0.976 0.004 0.020
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0404 0.8747 0.000 0.988 0.000 0.000 0.012
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.3535 0.8645 0.000 0.808 0.000 0.028 0.164
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.4436 -0.2319 0.596 0.000 0.000 0.008 0.396
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.1732 0.8192 0.080 0.000 0.000 0.920 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.2011 0.6996 0.908 0.000 0.000 0.004 0.088
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0671 0.7506 0.980 0.000 0.000 0.004 0.016
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.3336 0.8261 0.000 0.000 0.096 0.844 0.060
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.4549 0.6209 0.464 0.000 0.000 0.008 0.528
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0671 0.7506 0.980 0.000 0.000 0.004 0.016
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0794 0.7463 0.972 0.000 0.000 0.000 0.028
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.2873 0.8727 0.000 0.856 0.000 0.016 0.128
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.3800 0.6922 0.812 0.000 0.000 0.080 0.108
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 3 0.8592 0.3764 0.088 0.192 0.448 0.056 0.216
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.4848 0.8338 0.000 0.704 0.008 0.052 0.236
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 5 0.4557 0.6226 0.404 0.000 0.000 0.012 0.584
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.5808 0.7710 0.272 0.000 0.020 0.084 0.624
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.1043 0.9081 0.000 0.000 0.960 0.000 0.040
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.2777 0.8735 0.000 0.864 0.000 0.016 0.120
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.3551 0.8149 0.000 0.000 0.820 0.044 0.136
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.3416 0.8182 0.000 0.000 0.840 0.072 0.088
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.3536 0.8145 0.000 0.812 0.000 0.032 0.156
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0771 0.8775 0.000 0.976 0.000 0.004 0.020
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.1043 0.9081 0.000 0.000 0.960 0.000 0.040
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.5701 0.5660 0.104 0.000 0.284 0.004 0.608
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.4549 0.2260 0.464 0.000 0.000 0.528 0.008
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.3535 0.8645 0.000 0.808 0.000 0.028 0.164
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.3201 0.8314 0.000 0.000 0.096 0.852 0.052
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.3904 0.6991 0.216 0.000 0.012 0.764 0.008
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.4893 0.7247 0.404 0.000 0.000 0.028 0.568
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.6342 0.7493 0.232 0.000 0.076 0.072 0.620
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.2352 0.8474 0.032 0.000 0.048 0.912 0.008
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.4517 0.6752 0.436 0.000 0.000 0.008 0.556
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9087 0.000 0.000 1.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.2011 0.6996 0.908 0.000 0.000 0.004 0.088
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.3421 0.4991 0.788 0.000 0.000 0.008 0.204
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.3536 0.8145 0.000 0.812 0.000 0.032 0.156
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.3454 0.8663 0.000 0.816 0.000 0.028 0.156
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.3535 0.8645 0.000 0.808 0.000 0.028 0.164
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.2674 0.6194 0.856 0.000 0.000 0.004 0.140
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.4510 0.6820 0.432 0.000 0.000 0.008 0.560
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.4497 -0.3290 0.568 0.000 0.000 0.008 0.424
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.4995 0.5589 0.000 0.000 0.668 0.264 0.068
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.3800 0.6922 0.812 0.000 0.000 0.080 0.108
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.6156 0.7531 0.232 0.000 0.052 0.084 0.632
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.4045 0.4860 0.356 0.000 0.000 0.644 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.5386 0.7545 0.372 0.000 0.000 0.064 0.564
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.4528 0.6614 0.444 0.000 0.000 0.008 0.548
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.5911 0.7724 0.276 0.000 0.032 0.072 0.620
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.4238 0.8096 0.000 0.756 0.000 0.052 0.192
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.3321 0.8702 0.000 0.832 0.000 0.032 0.136
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.5619 0.6959 0.000 0.516 0.004 0.064 0.416
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0404 0.8747 0.000 0.988 0.000 0.000 0.012
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.4758 0.7377 0.008 0.000 0.088 0.744 0.160
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.9087 0.000 0.000 1.000 0.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.1764 0.7280 0.928 0.000 0.000 0.064 0.008
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.4287 -0.4877 0.540 0.000 0.000 0.000 0.460
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.3536 0.8145 0.000 0.812 0.000 0.032 0.156
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.3130 0.8332 0.000 0.000 0.096 0.856 0.048
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.2189 0.8200 0.084 0.000 0.012 0.904 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.3969 0.4656 0.692 0.000 0.000 0.304 0.004
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.1043 0.9081 0.000 0.000 0.960 0.000 0.040
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.2300 0.8451 0.040 0.000 0.052 0.908 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0404 0.7513 0.988 0.000 0.000 0.000 0.012
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0955 0.8775 0.000 0.968 0.000 0.004 0.028
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.2416 0.8769 0.000 0.888 0.000 0.012 0.100
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.4604 0.0835 0.560 0.000 0.000 0.428 0.012
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.4227 0.0963 0.580 0.000 0.000 0.420 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.5010 0.7387 0.392 0.000 0.000 0.036 0.572
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.1697 0.8892 0.000 0.000 0.932 0.008 0.060
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.3536 0.8145 0.000 0.812 0.000 0.032 0.156
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.3130 0.8332 0.000 0.000 0.096 0.856 0.048
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.2983 0.8358 0.000 0.000 0.096 0.864 0.040
#> 317CD049-3151-40B7-8E88-B0B8813338D6 4 0.3684 0.6077 0.280 0.000 0.000 0.720 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.3895 0.4429 0.680 0.000 0.000 0.320 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.4436 -0.2215 0.596 0.000 0.000 0.008 0.396
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.2513 0.6627 0.876 0.000 0.000 0.008 0.116
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.4504 0.6883 0.428 0.000 0.000 0.008 0.564
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.3229 0.8715 0.000 0.840 0.000 0.032 0.128
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0162 0.9092 0.000 0.000 0.996 0.000 0.004
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 4 0.3783 0.6511 0.252 0.000 0.000 0.740 0.008
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.2674 0.8742 0.000 0.868 0.000 0.012 0.120
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0404 0.9065 0.000 0.000 0.988 0.000 0.012
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0000 0.9087 0.000 0.000 1.000 0.000 0.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 4 0.4045 0.4862 0.356 0.000 0.000 0.644 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0880 0.9091 0.000 0.000 0.968 0.000 0.032
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#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0609 0.7493 0.980 0.000 0.000 0.000 0.020
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 6 0.3817 0.677280 0.000 0.432 0.000 0.000 0.000 0.568
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.2532 0.791823 0.080 0.000 0.000 0.024 0.884 0.012
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.4459 0.533741 0.036 0.712 0.000 0.020 0.004 0.228
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 6 0.3950 0.674528 0.000 0.432 0.000 0.004 0.000 0.564
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.1743 0.842848 0.028 0.000 0.024 0.936 0.004 0.008
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0291 0.713145 0.004 0.992 0.000 0.000 0.000 0.004
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.2825 0.834224 0.000 0.000 0.040 0.876 0.028 0.056
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.2244 0.703223 0.032 0.912 0.000 0.016 0.004 0.036
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 6 0.3950 0.674528 0.000 0.432 0.000 0.004 0.000 0.564
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.2196 0.769456 0.108 0.000 0.000 0.004 0.884 0.004
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.2007 0.802941 0.016 0.000 0.008 0.040 0.924 0.012
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.2675 0.687055 0.036 0.888 0.000 0.020 0.004 0.052
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.2808 0.691803 0.048 0.868 0.000 0.000 0.008 0.076
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.2730 0.858223 0.012 0.000 0.856 0.004 0.004 0.124
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 6 0.6892 0.478233 0.068 0.248 0.124 0.000 0.032 0.528
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.3587 0.720765 0.140 0.000 0.000 0.792 0.000 0.068
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.1480 0.803374 0.020 0.000 0.000 0.040 0.940 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.2375 0.867637 0.000 0.000 0.896 0.008 0.060 0.036
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.3160 0.756242 0.104 0.000 0.000 0.008 0.840 0.048
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.4102 0.321466 0.356 0.000 0.000 0.004 0.628 0.012
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.7469 0.214545 0.180 0.092 0.196 0.004 0.036 0.492
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.3475 0.798116 0.800 0.000 0.000 0.000 0.140 0.060
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.4662 0.200028 0.000 0.000 0.008 0.424 0.540 0.028
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.2400 0.864967 0.008 0.000 0.872 0.004 0.000 0.116
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.4433 0.540567 0.036 0.716 0.000 0.020 0.004 0.224
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.1398 0.702161 0.008 0.940 0.000 0.000 0.000 0.052
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.4076 0.344695 0.348 0.000 0.000 0.004 0.636 0.012
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.1152 0.837908 0.044 0.000 0.000 0.952 0.004 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.3780 0.742101 0.728 0.000 0.000 0.004 0.248 0.020
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.3176 0.798788 0.812 0.000 0.000 0.000 0.156 0.032
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.3238 0.821862 0.000 0.000 0.044 0.852 0.044 0.060
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.2773 0.719926 0.164 0.000 0.000 0.004 0.828 0.004
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.3317 0.798698 0.808 0.000 0.000 0.004 0.156 0.032
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.3178 0.792364 0.804 0.000 0.000 0.004 0.176 0.016
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0146 0.713147 0.004 0.996 0.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.5341 0.699643 0.632 0.000 0.000 0.040 0.256 0.072
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 6 0.6610 0.348240 0.116 0.080 0.168 0.008 0.024 0.604
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.5460 0.287937 0.084 0.652 0.000 0.008 0.036 0.220
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 5 0.5541 0.598467 0.176 0.040 0.000 0.016 0.672 0.096
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.3328 0.772129 0.004 0.000 0.004 0.060 0.832 0.100
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.1151 0.889410 0.000 0.000 0.956 0.000 0.032 0.012
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.1223 0.710291 0.008 0.960 0.000 0.012 0.004 0.016
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.6978 0.467367 0.084 0.036 0.504 0.012 0.056 0.308
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.4165 0.787138 0.000 0.000 0.788 0.060 0.088 0.064
#> C5C3241A-684C-4238-9333-9AF8630EC086 6 0.3950 0.674528 0.000 0.432 0.000 0.004 0.000 0.564
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.4238 0.571081 0.036 0.744 0.000 0.020 0.004 0.196
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.1245 0.888626 0.000 0.000 0.952 0.000 0.032 0.016
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.3233 0.736845 0.000 0.000 0.132 0.016 0.828 0.024
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.5025 0.286514 0.560 0.000 0.000 0.356 0.000 0.084
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.1500 0.700074 0.012 0.936 0.000 0.000 0.000 0.052
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.3043 0.828515 0.000 0.000 0.040 0.864 0.040 0.056
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.4051 0.642030 0.224 0.000 0.004 0.728 0.000 0.044
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.2518 0.782396 0.092 0.000 0.000 0.016 0.880 0.012
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.2709 0.790238 0.000 0.000 0.040 0.044 0.884 0.032
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.1375 0.843760 0.028 0.000 0.008 0.952 0.008 0.004
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.2191 0.762666 0.120 0.000 0.000 0.000 0.876 0.004
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.1501 0.882638 0.000 0.000 0.924 0.000 0.000 0.076
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.3755 0.744233 0.732 0.000 0.000 0.004 0.244 0.020
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.4427 0.422266 0.548 0.000 0.000 0.004 0.428 0.020
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 6 0.3817 0.677280 0.000 0.432 0.000 0.000 0.000 0.568
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.1285 0.703968 0.004 0.944 0.000 0.000 0.000 0.052
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.1850 0.692465 0.016 0.924 0.000 0.000 0.008 0.052
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.4317 0.616056 0.640 0.000 0.000 0.004 0.328 0.028
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.2959 0.751161 0.124 0.000 0.000 0.008 0.844 0.024
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.3626 0.501469 0.288 0.000 0.000 0.004 0.704 0.004
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.5818 -0.010771 0.000 0.000 0.436 0.452 0.048 0.064
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.5341 0.699643 0.632 0.000 0.000 0.040 0.256 0.072
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.3623 0.770630 0.000 0.000 0.028 0.056 0.820 0.096
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.5051 0.247338 0.388 0.000 0.000 0.540 0.004 0.068
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.4120 0.740131 0.116 0.000 0.000 0.040 0.784 0.060
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.2278 0.757361 0.128 0.000 0.000 0.000 0.868 0.004
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.2519 0.796367 0.000 0.000 0.016 0.044 0.892 0.048
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 6 0.5083 0.542685 0.052 0.412 0.000 0.000 0.012 0.524
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.2687 0.692296 0.044 0.876 0.000 0.000 0.008 0.072
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.7179 -0.207206 0.088 0.420 0.000 0.012 0.156 0.324
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.4459 0.533741 0.036 0.712 0.000 0.020 0.004 0.228
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.4500 0.738735 0.000 0.000 0.040 0.752 0.132 0.076
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.1501 0.882638 0.000 0.000 0.924 0.000 0.000 0.076
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.4021 0.784224 0.788 0.000 0.000 0.028 0.116 0.068
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.3816 0.588245 0.240 0.000 0.000 0.000 0.728 0.032
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 6 0.3950 0.674528 0.000 0.432 0.000 0.004 0.000 0.564
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.3110 0.827096 0.000 0.000 0.044 0.860 0.040 0.056
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.1644 0.834679 0.052 0.000 0.004 0.932 0.000 0.012
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.5121 0.573132 0.652 0.000 0.000 0.248 0.032 0.068
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.1151 0.889410 0.000 0.000 0.956 0.000 0.032 0.012
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.2034 0.833987 0.044 0.000 0.008 0.920 0.004 0.024
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.2848 0.798290 0.828 0.000 0.000 0.004 0.160 0.008
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.4146 0.582272 0.036 0.756 0.000 0.020 0.004 0.184
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.2212 0.695737 0.020 0.912 0.000 0.016 0.004 0.048
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.5076 0.443506 0.616 0.000 0.000 0.288 0.008 0.088
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.4771 0.516453 0.648 0.000 0.000 0.256 0.000 0.096
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.2237 0.789249 0.080 0.000 0.000 0.020 0.896 0.004
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.3403 0.834490 0.012 0.000 0.836 0.004 0.080 0.068
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 6 0.3817 0.677280 0.000 0.432 0.000 0.000 0.000 0.568
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.3110 0.826187 0.000 0.000 0.044 0.860 0.040 0.056
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.2825 0.834224 0.000 0.000 0.040 0.876 0.028 0.056
#> 317CD049-3151-40B7-8E88-B0B8813338D6 4 0.4887 0.480017 0.280 0.000 0.000 0.624 0.000 0.096
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.5307 0.533829 0.624 0.000 0.000 0.272 0.036 0.068
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 5 0.3983 0.343628 0.348 0.000 0.000 0.004 0.640 0.008
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.4260 0.632238 0.640 0.000 0.000 0.004 0.332 0.024
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.2149 0.771381 0.104 0.000 0.000 0.004 0.888 0.004
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.2862 0.691034 0.048 0.864 0.000 0.000 0.008 0.080
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0291 0.890507 0.000 0.000 0.992 0.000 0.004 0.004
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 4 0.4526 0.581295 0.244 0.000 0.000 0.676 0.000 0.080
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.1414 0.708699 0.012 0.952 0.000 0.012 0.004 0.020
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.2053 0.871405 0.000 0.000 0.888 0.004 0.000 0.108
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.1501 0.882638 0.000 0.000 0.924 0.000 0.000 0.076
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 4 0.5071 0.212513 0.400 0.000 0.000 0.528 0.004 0.068
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0717 0.890510 0.000 0.000 0.976 0.000 0.016 0.008
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.3191 0.795418 0.812 0.000 0.000 0.012 0.164 0.012
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.2101 0.688901 0.028 0.912 0.000 0.000 0.008 0.052
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.4932 0.629274 0.616 0.000 0.000 0.012 0.312 0.060
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.2973 0.830580 0.000 0.000 0.036 0.868 0.040 0.056
#> 51B7241E-F0BE-482A-88AE-89004BB68989 4 0.2209 0.824131 0.052 0.000 0.004 0.904 0.000 0.040
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0790 0.888999 0.000 0.000 0.968 0.000 0.000 0.032
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 5 0.4950 0.292346 0.000 0.000 0.020 0.376 0.568 0.036
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.2400 0.864967 0.008 0.000 0.872 0.004 0.000 0.116
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.4688 0.772679 0.000 0.000 0.748 0.080 0.076 0.096
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 5 0.1682 0.799909 0.052 0.000 0.000 0.020 0.928 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.1666 0.885449 0.000 0.000 0.936 0.008 0.036 0.020
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 5 0.1826 0.799475 0.052 0.000 0.000 0.020 0.924 0.004
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 4 0.1605 0.833937 0.044 0.000 0.000 0.936 0.004 0.016
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 5 0.1633 0.801657 0.044 0.000 0.000 0.024 0.932 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.4268 0.574071 0.036 0.740 0.000 0.020 0.004 0.200
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0291 0.890507 0.000 0.000 0.992 0.000 0.004 0.004
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 4 0.1629 0.843351 0.028 0.000 0.024 0.940 0.004 0.004
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 4 0.5075 0.003016 0.456 0.000 0.000 0.468 0.000 0.076
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.2101 0.688901 0.028 0.912 0.000 0.000 0.008 0.052
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 6 0.8171 0.086010 0.092 0.180 0.272 0.012 0.056 0.388
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.1700 0.705773 0.024 0.928 0.000 0.000 0.000 0.048
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.5365 0.643841 0.040 0.000 0.644 0.004 0.068 0.244
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.4325 0.564542 0.036 0.732 0.000 0.020 0.004 0.208
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.3508 0.795227 0.800 0.000 0.000 0.000 0.132 0.068
#> A90AF55C-4386-42AB-A812-9230026EA5A5 6 0.3817 0.677280 0.000 0.432 0.000 0.000 0.000 0.568
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0405 0.712831 0.004 0.988 0.000 0.000 0.000 0.008
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 5 0.1889 0.798293 0.056 0.000 0.000 0.020 0.920 0.004
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.1219 0.705496 0.004 0.948 0.000 0.000 0.000 0.048
#> 4780A59C-0589-4995-B044-3201F09AF859 5 0.3514 0.752462 0.000 0.000 0.092 0.052 0.828 0.028
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.1285 0.703968 0.004 0.944 0.000 0.000 0.000 0.052
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.0603 0.890758 0.000 0.000 0.980 0.000 0.016 0.004
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.1151 0.889410 0.000 0.000 0.956 0.000 0.032 0.012
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#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.3178 0.792364 0.804 0.000 0.000 0.004 0.176 0.016
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 4 0.3239 0.821598 0.000 0.000 0.052 0.852 0.040 0.056
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.3213 0.798013 0.820 0.000 0.000 0.000 0.132 0.048
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#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.2544 0.841429 0.004 0.000 0.036 0.896 0.020 0.044
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.1757 0.694522 0.012 0.928 0.000 0.000 0.008 0.052
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#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.2825 0.834224 0.000 0.000 0.040 0.876 0.028 0.056
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#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.4084 0.577959 0.028 0.760 0.000 0.024 0.004 0.184
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.1708 0.802601 0.040 0.000 0.004 0.024 0.932 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.2828 0.796090 0.072 0.000 0.000 0.864 0.004 0.060
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.5082 0.700244 0.000 0.000 0.708 0.140 0.068 0.084
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#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.2333 0.867620 0.000 0.000 0.896 0.004 0.060 0.040
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.1151 0.889410 0.000 0.000 0.956 0.000 0.032 0.012
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.2078 0.800040 0.000 0.000 0.012 0.040 0.916 0.032
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.3231 0.764098 0.000 0.000 0.076 0.052 0.848 0.024
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.2145 0.697222 0.020 0.916 0.000 0.016 0.004 0.044
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#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.4459 0.533741 0.036 0.712 0.000 0.020 0.004 0.228
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#> 7A110994-5741-4013-91F0-DD2E1D343F91 6 0.3817 0.677280 0.000 0.432 0.000 0.000 0.000 0.568
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.2848 0.798290 0.828 0.000 0.000 0.004 0.160 0.008
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.1850 0.692465 0.016 0.924 0.000 0.000 0.008 0.052
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.1734 0.888153 0.008 0.000 0.932 0.004 0.008 0.048
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.4459 0.533741 0.036 0.712 0.000 0.020 0.004 0.228
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.1285 0.703968 0.004 0.944 0.000 0.000 0.000 0.052
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.4297 0.570524 0.036 0.736 0.000 0.020 0.004 0.204
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.4725 0.492985 0.648 0.000 0.000 0.264 0.000 0.088
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.2076 0.802683 0.020 0.000 0.004 0.040 0.920 0.016
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.1684 0.846171 0.008 0.000 0.028 0.940 0.008 0.016
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.4117 0.556570 0.000 0.000 0.256 0.016 0.708 0.020
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.5575 0.263959 0.084 0.632 0.000 0.008 0.036 0.240
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.2034 0.833987 0.044 0.000 0.008 0.920 0.004 0.024
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.3485 0.751173 0.000 0.000 0.096 0.052 0.828 0.024
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0713 0.888559 0.000 0.000 0.972 0.000 0.000 0.028
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.2476 0.841753 0.004 0.000 0.040 0.900 0.020 0.036
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.2946 0.797644 0.824 0.000 0.000 0.004 0.160 0.012
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.4729 0.756133 0.744 0.000 0.000 0.092 0.096 0.068
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.4561 0.781377 0.744 0.000 0.000 0.040 0.144 0.072
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.2006 0.772124 0.104 0.000 0.000 0.000 0.892 0.004
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.4823 0.718171 0.732 0.000 0.000 0.124 0.060 0.084
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.4268 0.575610 0.036 0.740 0.000 0.020 0.004 0.200
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.5983 0.339272 0.020 0.000 0.512 0.012 0.356 0.100
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.7027 0.429910 0.084 0.184 0.136 0.004 0.036 0.556
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.4686 0.771576 0.000 0.000 0.748 0.084 0.072 0.096
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.1850 0.692465 0.016 0.924 0.000 0.000 0.008 0.052
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.4833 0.698866 0.728 0.000 0.000 0.124 0.048 0.100
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.4433 0.540567 0.036 0.716 0.000 0.020 0.004 0.224
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.2213 0.879300 0.000 0.000 0.888 0.004 0.008 0.100
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 6 0.4238 0.659039 0.016 0.444 0.000 0.000 0.000 0.540
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.1261 0.845849 0.004 0.000 0.028 0.956 0.008 0.004
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 5 0.7598 -0.000609 0.288 0.252 0.000 0.012 0.344 0.104
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.3213 0.798013 0.820 0.000 0.000 0.000 0.132 0.048
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.3247 0.798772 0.808 0.000 0.000 0.000 0.156 0.036
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.3875 0.797992 0.780 0.000 0.000 0.008 0.144 0.068
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.3176 0.799780 0.812 0.000 0.000 0.000 0.156 0.032
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.1793 0.800647 0.004 0.000 0.008 0.040 0.932 0.016
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.4057 0.759012 0.004 0.000 0.032 0.068 0.796 0.100
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.4433 0.540567 0.036 0.716 0.000 0.020 0.004 0.224
#> 019B857C-D4F7-4B67-B699-56E52A60805B 6 0.4224 0.673593 0.016 0.432 0.000 0.000 0.000 0.552
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.2034 0.833987 0.044 0.000 0.008 0.920 0.004 0.024
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.1926 0.794430 0.068 0.000 0.000 0.020 0.912 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.1285 0.703968 0.004 0.944 0.000 0.000 0.000 0.052
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.3981 0.612168 0.036 0.776 0.000 0.020 0.004 0.164
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.2808 0.691803 0.048 0.868 0.000 0.000 0.008 0.076
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.1874 0.840948 0.028 0.000 0.012 0.932 0.008 0.020
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.3286 0.821939 0.000 0.000 0.044 0.848 0.040 0.068
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.4325 0.564542 0.036 0.732 0.000 0.020 0.004 0.208
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.4297 0.569782 0.036 0.736 0.000 0.020 0.004 0.204
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.3213 0.798334 0.808 0.000 0.000 0.000 0.160 0.032
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.4867 0.223494 0.000 0.000 0.016 0.404 0.548 0.032
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.3284 0.795825 0.800 0.000 0.000 0.000 0.168 0.032
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.4872 0.554658 0.600 0.000 0.000 0.008 0.336 0.056
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.4028 0.516812 0.036 0.784 0.000 0.004 0.032 0.144
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.2615 0.778384 0.000 0.000 0.008 0.088 0.876 0.028
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.5313 0.693208 0.684 0.000 0.000 0.156 0.068 0.092
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.2808 0.691803 0.048 0.868 0.000 0.000 0.008 0.076
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.3471 0.783124 0.784 0.000 0.000 0.008 0.188 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["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 17377 rows and 265 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 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 0.981 0.992 0.4932 0.508 0.508
#> 3 3 0.963 0.932 0.972 0.3442 0.737 0.524
#> 4 4 0.928 0.915 0.963 0.1163 0.873 0.649
#> 5 5 0.940 0.896 0.954 0.0670 0.889 0.619
#> 6 6 0.830 0.736 0.843 0.0444 0.950 0.765
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9940 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.9911 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9940 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9940 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.9911 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9940 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.9911 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9940 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9940 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.9911 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.9911 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9940 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9940 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 2 0.2948 0.9418 0.052 0.948
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.9940 0.000 1.000
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#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.9911 1.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.9911 1.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.9911 1.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 2 0.2236 0.9588 0.036 0.964
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.9940 0.000 1.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.9940 0.000 1.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.3431 0.9287 0.936 0.064
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.0000 0.9911 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.9940 0.000 1.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.9911 1.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.9911 1.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.9940 0.000 1.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.9911 1.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0000 0.9940 0.000 1.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.9911 1.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.9940 0.000 1.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9940 0.000 1.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.0000 0.9911 1.000 0.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.9940 0.000 1.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0000 0.9911 1.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.0000 0.9911 1.000 0.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 2 0.0000 0.9940 0.000 1.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.9911 1.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.0000 0.9911 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.9940 0.000 1.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.9940 0.000 1.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.0000 0.9911 1.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.9911 1.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.0000 0.9911 1.000 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.9911 1.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 2 0.0000 0.9940 0.000 1.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.9940 0.000 1.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9940 0.000 1.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.9911 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 2 0.2778 0.9462 0.048 0.952
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 2 0.0000 0.9940 0.000 1.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0000 0.9911 1.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.0000 0.9911 1.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9940 0.000 1.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.9911 1.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.0000 0.9940 0.000 1.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9940 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.9911 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.9940 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.9911 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9940 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 2 0.9996 0.0261 0.488 0.512
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9940 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9940 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9940 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.9911 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.9911 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.1843 0.9655 0.972 0.028
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.0000 0.9911 1.000 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9940 0.000 1.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.9911 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.0000 0.9911 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 2 0.0000 0.9940 0.000 1.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.3584 0.9244 0.932 0.068
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.9911 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.9911 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.9911 1.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.9911 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.9911 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9940 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.0000 0.9940 0.000 1.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.9940 0.000 1.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.2603 0.9496 0.956 0.044
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9940 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.9911 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9940 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 2 0.0000 0.9940 0.000 1.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.9940 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.9911 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.2236 0.9588 0.036 0.964
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.9911 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.9911 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.9911 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.9911 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.9911 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.9911 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9940 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.9940 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.9911 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.9911 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9940 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9940 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9940 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.9911 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 2 0.0672 0.9865 0.008 0.992
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9940 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9940 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9911 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0672 0.9840 0.992 0.008
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9911 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.9911 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9940 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.9911 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.9911 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9940 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9911 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9956 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.9729 1.000 0.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9956 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9956 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 3 0.1411 0.9190 0.036 0.000 0.964
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9956 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.0000 0.9412 0.000 0.000 1.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9956 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9956 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.9729 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0237 0.9695 0.996 0.000 0.004
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9956 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9956 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9412 0.000 0.000 1.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.9956 0.000 1.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.9729 1.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.9729 1.000 0.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.9412 0.000 0.000 1.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.9729 1.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.9729 1.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.1964 0.9344 0.056 0.944 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.9729 1.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.5948 0.3829 0.640 0.000 0.360
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9412 0.000 0.000 1.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9956 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9956 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.9729 1.000 0.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.9729 1.000 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.9729 1.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.9729 1.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.0000 0.9412 0.000 0.000 1.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.9729 1.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.9729 1.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.9729 1.000 0.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9956 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.9729 1.000 0.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 0.9956 0.000 1.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9956 0.000 1.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.4452 0.7472 0.808 0.192 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.5905 0.4287 0.648 0.000 0.352
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9412 0.000 0.000 1.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9956 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.0000 0.9956 0.000 1.000 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0000 0.9412 0.000 0.000 1.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.9956 0.000 1.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9956 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.9412 0.000 0.000 1.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.1964 0.9047 0.056 0.000 0.944
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.9729 1.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9956 0.000 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 3 0.0000 0.9412 0.000 0.000 1.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.2261 0.9078 0.932 0.000 0.068
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.9729 1.000 0.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.5733 0.5578 0.324 0.000 0.676
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.6235 0.1560 0.564 0.000 0.436
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.9729 1.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9412 0.000 0.000 1.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.9729 1.000 0.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.9729 1.000 0.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.9956 0.000 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9956 0.000 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9956 0.000 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.9729 1.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.9729 1.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.9729 1.000 0.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.0000 0.9412 0.000 0.000 1.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.9729 1.000 0.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.2356 0.8916 0.072 0.000 0.928
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.9729 1.000 0.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0000 0.9729 1.000 0.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.9729 1.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 3 0.6307 0.1198 0.488 0.000 0.512
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.9956 0.000 1.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9956 0.000 1.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.9956 0.000 1.000 0.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9956 0.000 1.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 3 0.0000 0.9412 0.000 0.000 1.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.9412 0.000 0.000 1.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.9729 1.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.9729 1.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.9956 0.000 1.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 3 0.0000 0.9412 0.000 0.000 1.000
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#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9956 0.000 1.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.9729 1.000 0.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.9729 1.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9956 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9729 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0188 0.947 0.000 0.000 0.004 0.996
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1940 0.904 0.000 0.924 0.076 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.4955 0.199 0.000 0.556 0.444 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.3764 0.737 0.216 0.000 0.000 0.784
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0817 0.936 0.000 0.000 0.024 0.976
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.3172 0.816 0.840 0.000 0.000 0.160
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.1792 0.889 0.932 0.068 0.000 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0188 0.947 0.996 0.000 0.004 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.2081 0.869 0.000 0.084 0.916 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.3356 0.800 0.176 0.000 0.824 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0188 0.947 0.000 0.000 0.004 0.996
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.4916 0.335 0.424 0.000 0.576 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.3123 0.820 0.844 0.000 0.000 0.156
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.4888 0.369 0.412 0.000 0.588 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.2921 0.805 0.860 0.000 0.140 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.3301 0.868 0.048 0.000 0.076 0.876
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.1637 0.911 0.940 0.000 0.000 0.060
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.1637 0.911 0.000 0.000 0.060 0.940
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.4961 0.278 0.552 0.000 0.000 0.448
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 4 0.0336 0.942 0.008 0.000 0.000 0.992
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.0188 0.947 0.004 0.000 0.996 0.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.2011 0.895 0.000 0.000 0.080 0.920
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.0188 0.947 0.000 0.000 0.004 0.996
#> 317CD049-3151-40B7-8E88-B0B8813338D6 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.4933 0.326 0.568 0.000 0.000 0.432
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.0188 0.947 0.000 0.000 0.004 0.996
#> 51B7241E-F0BE-482A-88AE-89004BB68989 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 4 0.4238 0.766 0.176 0.000 0.028 0.796
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.4948 0.212 0.000 0.560 0.440 0.000
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 3 0.3528 0.782 0.192 0.000 0.808 0.000
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 4 0.4977 0.192 0.460 0.000 0.000 0.540
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 4 0.0188 0.947 0.000 0.000 0.004 0.996
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 4 0.1389 0.920 0.000 0.000 0.048 0.952
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.0469 0.943 0.988 0.000 0.000 0.012
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.2530 0.866 0.888 0.000 0.000 0.112
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 4 0.0336 0.944 0.008 0.000 0.000 0.992
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 4 0.3569 0.768 0.000 0.000 0.196 0.804
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 3 0.3266 0.807 0.168 0.000 0.832 0.000
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 4 0.0188 0.947 0.000 0.000 0.004 0.996
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.1474 0.907 0.948 0.000 0.052 0.000
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 4 0.4713 0.474 0.360 0.000 0.000 0.640
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.4040 0.656 0.752 0.000 0.000 0.248
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.1022 0.931 0.000 0.000 0.032 0.968
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.3356 0.795 0.824 0.000 0.000 0.176
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.1557 0.914 0.000 0.000 0.056 0.944
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.1211 0.926 0.960 0.000 0.000 0.040
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 3 0.3444 0.791 0.184 0.000 0.816 0.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.0188 0.947 0.000 0.000 0.004 0.996
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 4 0.3610 0.755 0.200 0.000 0.000 0.800
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.0188 0.947 0.000 0.000 0.004 0.996
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.1637 0.911 0.940 0.000 0.000 0.060
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0188 0.947 0.000 0.000 0.004 0.996
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.3975 0.716 0.240 0.000 0.760 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.4977 0.228 0.540 0.000 0.000 0.460
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.0188 0.947 0.004 0.000 0.996 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.3024 0.826 0.148 0.000 0.852 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.3219 0.808 0.000 0.000 0.164 0.836
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.3649 0.763 0.796 0.000 0.000 0.204
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.3172 0.816 0.840 0.000 0.000 0.160
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.3801 0.743 0.780 0.000 0.000 0.220
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0188 0.947 0.004 0.000 0.996 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.1940 0.904 0.000 0.924 0.076 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.3942 0.720 0.764 0.000 0.000 0.236
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.950 0.000 0.000 1.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0188 0.947 0.000 0.000 0.004 0.996
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.4746 0.408 0.368 0.632 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0921 0.935 0.972 0.000 0.000 0.028
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0921 0.928 0.972 0.000 0.028 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0000 0.948 0.000 0.000 0.000 1.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.1637 0.911 0.000 0.000 0.060 0.940
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.3791 0.756 0.200 0.000 0.004 0.796
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0188 0.949 0.996 0.000 0.000 0.004
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.949 1.000 0.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.2704 0.838 0.876 0.000 0.000 0.124
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.3726 0.753 0.788 0.000 0.000 0.212
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.949 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0290 0.981 0.008 0.992 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.4242 0.256 0.428 0.000 0.000 0.000 0.572
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0290 0.981 0.008 0.992 0.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0290 0.950 0.008 0.000 0.000 0.992 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.951 0.000 0.000 0.000 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0290 0.981 0.008 0.992 0.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0000 0.915 0.000 0.000 0.000 0.000 1.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0000 0.915 0.000 0.000 0.000 0.000 1.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.966 0.000 0.000 1.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.3910 0.611 0.008 0.720 0.272 0.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.3857 0.541 0.312 0.000 0.000 0.688 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.0000 0.915 0.000 0.000 0.000 0.000 1.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.966 0.000 0.000 1.000 0.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.0510 0.908 0.016 0.000 0.000 0.000 0.984
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.4161 0.361 0.392 0.000 0.000 0.000 0.608
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 3 0.6498 0.247 0.196 0.352 0.452 0.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0290 0.925 0.992 0.000 0.000 0.000 0.008
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.4171 0.335 0.000 0.000 0.000 0.396 0.604
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.966 0.000 0.000 1.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.4161 0.361 0.392 0.000 0.000 0.000 0.608
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0162 0.951 0.004 0.000 0.000 0.996 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0510 0.926 0.984 0.000 0.000 0.000 0.016
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0510 0.926 0.984 0.000 0.000 0.000 0.016
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0000 0.951 0.000 0.000 0.000 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.0162 0.914 0.004 0.000 0.000 0.000 0.996
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0510 0.926 0.984 0.000 0.000 0.000 0.016
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0510 0.926 0.984 0.000 0.000 0.000 0.016
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0404 0.926 0.988 0.000 0.000 0.000 0.012
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.1300 0.950 0.028 0.956 0.016 0.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.4428 0.714 0.760 0.096 0.000 0.000 0.144
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.1041 0.896 0.032 0.000 0.000 0.004 0.964
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.966 0.000 0.000 1.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.0510 0.950 0.000 0.016 0.984 0.000 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0162 0.963 0.000 0.000 0.996 0.000 0.004
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0290 0.981 0.008 0.992 0.000 0.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.966 0.000 0.000 1.000 0.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.0609 0.903 0.000 0.000 0.020 0.000 0.980
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.3586 0.622 0.736 0.000 0.000 0.264 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0000 0.951 0.000 0.000 0.000 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.4138 0.374 0.384 0.000 0.000 0.616 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.0162 0.914 0.004 0.000 0.000 0.000 0.996
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.0000 0.915 0.000 0.000 0.000 0.000 1.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0290 0.950 0.008 0.000 0.000 0.992 0.000
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#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.1341 0.888 0.944 0.000 0.000 0.056 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.0000 0.915 0.000 0.000 0.000 0.000 1.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0162 0.951 0.004 0.000 0.000 0.996 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.3210 0.696 0.000 0.000 0.212 0.000 0.788
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0290 0.950 0.008 0.000 0.000 0.992 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.0290 0.910 0.000 0.000 0.008 0.000 0.992
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.966 0.000 0.000 1.000 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.0000 0.951 0.000 0.000 0.000 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0510 0.926 0.984 0.000 0.000 0.000 0.016
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0290 0.925 0.992 0.000 0.000 0.000 0.008
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0404 0.926 0.988 0.000 0.000 0.000 0.012
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.0000 0.915 0.000 0.000 0.000 0.000 1.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0324 0.923 0.992 0.000 0.000 0.004 0.004
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0000 0.966 0.000 0.000 1.000 0.000 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.4183 0.504 0.008 0.668 0.324 0.000 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.0290 0.961 0.000 0.000 0.992 0.008 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0290 0.920 0.992 0.000 0.000 0.008 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.966 0.000 0.000 1.000 0.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0290 0.981 0.008 0.992 0.000 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0000 0.951 0.000 0.000 0.000 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.4242 0.257 0.428 0.572 0.000 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0290 0.925 0.992 0.000 0.000 0.000 0.008
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0510 0.926 0.984 0.000 0.000 0.000 0.016
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0290 0.925 0.992 0.000 0.000 0.000 0.008
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0510 0.926 0.984 0.000 0.000 0.000 0.016
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.0000 0.915 0.000 0.000 0.000 0.000 1.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.0451 0.911 0.004 0.000 0.000 0.008 0.988
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0290 0.981 0.008 0.992 0.000 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0290 0.950 0.008 0.000 0.000 0.992 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0000 0.915 0.000 0.000 0.000 0.000 1.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0290 0.950 0.008 0.000 0.000 0.992 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0162 0.949 0.004 0.000 0.000 0.996 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0510 0.926 0.984 0.000 0.000 0.000 0.016
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.4192 0.314 0.000 0.000 0.000 0.404 0.596
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0510 0.926 0.984 0.000 0.000 0.000 0.016
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0703 0.922 0.976 0.000 0.000 0.000 0.024
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0000 0.915 0.000 0.000 0.000 0.000 1.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0324 0.923 0.992 0.000 0.000 0.004 0.004
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.984 0.000 1.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0510 0.926 0.984 0.000 0.000 0.000 0.016
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 6 0.0000 0.56814 0.000 0.000 0.000 0.000 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.4229 0.23785 0.436 0.016 0.000 0.000 0.548 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 6 0.3774 0.16525 0.000 0.408 0.000 0.000 0.000 0.592
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 6 0.0000 0.56814 0.000 0.000 0.000 0.000 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0146 0.92353 0.000 0.004 0.000 0.996 0.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.3647 0.72742 0.000 0.640 0.000 0.000 0.000 0.360
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.1141 0.92177 0.000 0.052 0.000 0.948 0.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.3717 0.69539 0.000 0.616 0.000 0.000 0.000 0.384
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 6 0.0000 0.56814 0.000 0.000 0.000 0.000 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0622 0.89033 0.008 0.012 0.000 0.000 0.980 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0000 0.89258 0.000 0.000 0.000 0.000 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.3765 0.63521 0.000 0.596 0.000 0.000 0.000 0.404
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.3482 0.76785 0.000 0.684 0.000 0.000 0.000 0.316
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.1141 0.92913 0.000 0.052 0.948 0.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 6 0.2812 0.46456 0.000 0.096 0.048 0.000 0.000 0.856
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.4300 0.37531 0.364 0.028 0.000 0.608 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.0000 0.89258 0.000 0.000 0.000 0.000 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.95551 0.000 0.000 1.000 0.000 0.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.3468 0.80633 0.068 0.128 0.000 0.000 0.804 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.4141 0.29658 0.432 0.012 0.000 0.000 0.556 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.6638 0.21329 0.124 0.184 0.152 0.000 0.000 0.540
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.1204 0.89996 0.944 0.056 0.000 0.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.3489 0.56697 0.000 0.004 0.000 0.288 0.708 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0547 0.94947 0.000 0.020 0.980 0.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 6 0.3782 0.15574 0.000 0.412 0.000 0.000 0.000 0.588
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.3351 0.78641 0.000 0.712 0.000 0.000 0.000 0.288
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.4147 0.28679 0.436 0.012 0.000 0.000 0.552 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0146 0.92366 0.000 0.004 0.000 0.996 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0458 0.89752 0.984 0.016 0.000 0.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.1204 0.89964 0.944 0.056 0.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.1141 0.92177 0.000 0.052 0.000 0.948 0.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.1434 0.87475 0.048 0.012 0.000 0.000 0.940 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.1327 0.89886 0.936 0.064 0.000 0.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0363 0.89939 0.988 0.012 0.000 0.000 0.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.3647 0.72742 0.000 0.640 0.000 0.000 0.000 0.360
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.1610 0.88554 0.916 0.084 0.000 0.000 0.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 6 0.2851 0.45741 0.036 0.080 0.016 0.000 0.000 0.868
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.3330 0.69640 0.000 0.716 0.000 0.000 0.000 0.284
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 2 0.4871 -0.13865 0.348 0.580 0.000 0.000 0.072 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.3867 0.76948 0.036 0.216 0.000 0.004 0.744 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.95551 0.000 0.000 1.000 0.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.3672 0.71433 0.000 0.632 0.000 0.000 0.000 0.368
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.5142 0.55632 0.000 0.304 0.584 0.000 0.000 0.112
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0458 0.94812 0.000 0.016 0.984 0.000 0.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 6 0.0000 0.56814 0.000 0.000 0.000 0.000 0.000 1.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 6 0.3782 0.15574 0.000 0.412 0.000 0.000 0.000 0.588
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.95551 0.000 0.000 1.000 0.000 0.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.0790 0.88083 0.000 0.000 0.032 0.000 0.968 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.4487 0.62694 0.668 0.068 0.000 0.264 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.3351 0.78641 0.000 0.712 0.000 0.000 0.000 0.288
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.1141 0.92177 0.000 0.052 0.000 0.948 0.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.4552 0.45086 0.300 0.060 0.000 0.640 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.1765 0.87060 0.052 0.024 0.000 0.000 0.924 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.0363 0.89121 0.000 0.012 0.000 0.000 0.988 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0000 0.92401 0.000 0.000 0.000 1.000 0.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.0508 0.89146 0.012 0.004 0.000 0.000 0.984 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.95551 0.000 0.000 1.000 0.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0363 0.89774 0.988 0.012 0.000 0.000 0.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.3688 0.60144 0.724 0.020 0.000 0.000 0.256 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 6 0.0000 0.56814 0.000 0.000 0.000 0.000 0.000 1.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.3351 0.78641 0.000 0.712 0.000 0.000 0.000 0.288
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.3351 0.78641 0.000 0.712 0.000 0.000 0.000 0.288
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.4198 0.63997 0.708 0.060 0.000 0.000 0.232 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.2506 0.84845 0.068 0.052 0.000 0.000 0.880 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.3888 0.55288 0.312 0.016 0.000 0.000 0.672 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.5249 0.26288 0.000 0.104 0.528 0.368 0.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.1610 0.88554 0.916 0.084 0.000 0.000 0.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.2300 0.83543 0.000 0.144 0.000 0.000 0.856 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.3934 0.65049 0.708 0.032 0.000 0.260 0.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.5400 0.20754 0.400 0.116 0.000 0.000 0.484 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.1367 0.87738 0.044 0.012 0.000 0.000 0.944 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.1556 0.86618 0.000 0.080 0.000 0.000 0.920 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 6 0.1501 0.50887 0.000 0.076 0.000 0.000 0.000 0.924
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.3482 0.76785 0.000 0.684 0.000 0.000 0.000 0.316
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.3833 0.11654 0.000 0.556 0.000 0.000 0.000 0.444
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 6 0.3774 0.16525 0.000 0.408 0.000 0.000 0.000 0.592
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.2119 0.89740 0.000 0.060 0.000 0.904 0.036 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0000 0.95551 0.000 0.000 1.000 0.000 0.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.1267 0.89953 0.940 0.060 0.000 0.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.3587 0.70548 0.188 0.040 0.000 0.000 0.772 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 6 0.0000 0.56814 0.000 0.000 0.000 0.000 0.000 1.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.1075 0.92222 0.000 0.048 0.000 0.952 0.000 0.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.0363 0.92156 0.000 0.012 0.000 0.988 0.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.1713 0.88034 0.928 0.028 0.000 0.044 0.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0000 0.95551 0.000 0.000 1.000 0.000 0.000 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.0777 0.91542 0.004 0.024 0.000 0.972 0.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0260 0.89929 0.992 0.008 0.000 0.000 0.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 6 0.3828 0.03906 0.000 0.440 0.000 0.000 0.000 0.560
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.3756 0.64663 0.000 0.600 0.000 0.000 0.000 0.400
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.3548 0.80967 0.796 0.068 0.000 0.136 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.2277 0.86018 0.892 0.032 0.000 0.076 0.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.0291 0.89208 0.004 0.004 0.000 0.000 0.992 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.0146 0.95392 0.000 0.000 0.996 0.000 0.004 0.000
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#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.1204 0.89964 0.944 0.056 0.000 0.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.1204 0.89996 0.944 0.056 0.000 0.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.1007 0.90101 0.956 0.044 0.000 0.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.0000 0.89258 0.000 0.000 0.000 0.000 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.3425 0.80990 0.028 0.164 0.000 0.008 0.800 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 6 0.3782 0.15574 0.000 0.412 0.000 0.000 0.000 0.588
#> 019B857C-D4F7-4B67-B699-56E52A60805B 6 0.0000 0.56814 0.000 0.000 0.000 0.000 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0458 0.92025 0.000 0.016 0.000 0.984 0.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0000 0.89258 0.000 0.000 0.000 0.000 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.3351 0.78641 0.000 0.712 0.000 0.000 0.000 0.288
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 6 0.3810 0.07947 0.000 0.428 0.000 0.000 0.000 0.572
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.3482 0.76785 0.000 0.684 0.000 0.000 0.000 0.316
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0363 0.92166 0.000 0.012 0.000 0.988 0.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.1333 0.91993 0.000 0.048 0.000 0.944 0.000 0.008
#> E489A871-3CF4-4F3D-8EAF-63B507054201 6 0.3782 0.15574 0.000 0.412 0.000 0.000 0.000 0.588
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 6 0.3782 0.15574 0.000 0.412 0.000 0.000 0.000 0.588
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.1204 0.89964 0.944 0.056 0.000 0.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.4049 0.59195 0.000 0.004 0.000 0.256 0.708 0.032
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.1204 0.89964 0.944 0.056 0.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.2595 0.85986 0.836 0.160 0.000 0.000 0.004 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.3244 0.76498 0.000 0.732 0.000 0.000 0.000 0.268
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0146 0.89216 0.000 0.004 0.000 0.000 0.996 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.1866 0.89837 0.908 0.084 0.000 0.008 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.3482 0.76785 0.000 0.684 0.000 0.000 0.000 0.316
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1863 0.88772 0.896 0.104 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "pam"]
# you can also extract it by
# res = res_list["MAD:pam"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17377 rows and 265 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 0.965 0.984 0.414 0.593 0.593
#> 3 3 0.742 0.800 0.918 0.589 0.739 0.564
#> 4 4 0.771 0.809 0.874 0.130 0.839 0.577
#> 5 5 0.894 0.842 0.932 0.062 0.939 0.770
#> 6 6 0.810 0.758 0.846 0.042 0.944 0.746
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.987 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.982 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.987 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.987 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.982 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.987 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.982 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.987 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.987 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.1633 0.971 0.976 0.024
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0938 0.979 0.988 0.012
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.987 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.987 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0938 0.979 0.988 0.012
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.987 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.982 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.982 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.0000 0.982 1.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0938 0.979 0.988 0.012
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0938 0.979 0.988 0.012
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.7376 0.747 0.792 0.208
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0938 0.979 0.988 0.012
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.982 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.0938 0.979 0.988 0.012
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.987 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.987 0.000 1.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0938 0.979 0.988 0.012
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.982 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.982 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0938 0.979 0.988 0.012
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.0000 0.982 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.982 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0938 0.979 0.988 0.012
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.2423 0.957 0.960 0.040
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.987 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.2423 0.957 0.960 0.040
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 1 0.9954 0.161 0.540 0.460
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.4161 0.901 0.084 0.916
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.2778 0.950 0.952 0.048
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.982 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 1 0.0000 0.982 1.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.987 0.000 1.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.8081 0.686 0.752 0.248
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.0000 0.982 1.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.2423 0.953 0.040 0.960
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.987 0.000 1.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 1 0.0000 0.982 1.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.0938 0.979 0.988 0.012
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.982 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.987 0.000 1.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.982 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.982 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.982 1.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.0938 0.979 0.988 0.012
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.982 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0938 0.979 0.988 0.012
#> B344A530-92CD-468B-847A-DF8E25688081 1 0.0938 0.979 0.988 0.012
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0938 0.979 0.988 0.012
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.982 1.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.987 0.000 1.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.987 0.000 1.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.987 0.000 1.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0938 0.979 0.988 0.012
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0938 0.979 0.988 0.012
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.982 1.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.0000 0.982 1.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0938 0.979 0.988 0.012
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.0000 0.982 1.000 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.982 1.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0938 0.979 0.988 0.012
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0938 0.979 0.988 0.012
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.0000 0.982 1.000 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.987 0.000 1.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.987 0.000 1.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 1 0.9460 0.448 0.636 0.364
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.987 0.000 1.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.0000 0.982 1.000 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 1 0.0000 0.982 1.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.982 1.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.982 1.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.987 0.000 1.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.1843 0.962 0.972 0.028
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.982 1.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.982 1.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 1 0.4161 0.913 0.916 0.084
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.0000 0.982 1.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0938 0.979 0.988 0.012
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.987 0.000 1.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.987 0.000 1.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.982 1.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.982 1.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.982 1.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.0938 0.979 0.988 0.012
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.1633 0.965 0.024 0.976
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.0000 0.982 1.000 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.0000 0.982 1.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.982 1.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.982 1.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0938 0.979 0.988 0.012
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0000 0.982 1.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0938 0.979 0.988 0.012
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.987 0.000 1.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 1 0.0000 0.982 1.000 0.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.982 1.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.987 0.000 1.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 1 0.0938 0.979 0.988 0.012
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 1 0.0938 0.979 0.988 0.012
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0000 0.982 1.000 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 1 0.1633 0.966 0.976 0.024
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0938 0.979 0.988 0.012
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.987 0.000 1.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0938 0.979 0.988 0.012
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.0000 0.982 1.000 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.982 1.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 1 0.3431 0.927 0.936 0.064
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.0000 0.982 1.000 0.000
#> 7955FC55-386D-497E-AFED-019BBBAD428E 1 0.0938 0.979 0.988 0.012
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.0000 0.982 1.000 0.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0938 0.979 0.988 0.012
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 1 0.0000 0.982 1.000 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.2236 0.960 0.964 0.036
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.982 1.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.982 1.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.987 0.000 1.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 1 0.0000 0.982 1.000 0.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.0000 0.982 1.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.982 1.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.987 0.000 1.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 1 0.9248 0.504 0.660 0.340
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.987 0.000 1.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 1 0.7745 0.720 0.772 0.228
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.987 0.000 1.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.982 1.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.987 0.000 1.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.987 0.000 1.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.982 1.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.987 0.000 1.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.0000 0.982 1.000 0.000
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.987 0.000 1.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 1 0.0938 0.979 0.988 0.012
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 1 0.0000 0.982 1.000 0.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.0000 0.982 1.000 0.000
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.987 0.000 1.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.0000 0.982 1.000 0.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.0000 0.982 1.000 0.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.0938 0.979 0.988 0.012
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.982 1.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.0000 0.982 1.000 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.982 1.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.2423 0.957 0.960 0.040
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.0000 0.982 1.000 0.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.982 1.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.0000 0.982 1.000 0.000
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.0000 0.982 1.000 0.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.0938 0.979 0.988 0.012
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.0376 0.980 0.996 0.004
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.0000 0.982 1.000 0.000
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0000 0.982 1.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 1 0.0938 0.979 0.988 0.012
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.0000 0.982 1.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.987 0.000 1.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.987 0.000 1.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0938 0.979 0.988 0.012
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 1 0.1633 0.971 0.976 0.024
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.982 1.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.982 1.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0376 0.981 0.996 0.004
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 1 0.0938 0.979 0.988 0.012
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.987 0.000 1.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.987 0.000 1.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.0000 0.982 1.000 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.0000 0.982 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.987 0.000 1.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.982 1.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.982 1.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.987 0.000 1.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0938 0.979 0.988 0.012
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.5629 0.843 0.132 0.868
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0938 0.979 0.988 0.012
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.987 0.000 1.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.987 0.000 1.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.0000 0.982 1.000 0.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.987 0.000 1.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0000 0.982 1.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.0000 0.982 1.000 0.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 1 0.0938 0.979 0.988 0.012
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.982 1.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.0000 0.982 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.987 0.000 1.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.987 0.000 1.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.0938 0.979 0.988 0.012
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.982 1.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.0000 0.982 1.000 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.982 1.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 1 0.2236 0.955 0.964 0.036
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.987 0.000 1.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.987 0.000 1.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.982 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 1 0.0000 0.982 1.000 0.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 1 0.0000 0.982 1.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0938 0.979 0.988 0.012
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.0000 0.982 1.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.987 0.000 1.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0938 0.979 0.988 0.012
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 1 0.3114 0.935 0.944 0.056
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.987 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.982 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.987 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0938 0.979 0.988 0.012
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.987 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.0000 0.982 1.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.987 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.987 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.987 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.982 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.982 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0000 0.982 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.0938 0.979 0.988 0.012
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.987 0.000 1.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.982 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.0000 0.982 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 1 0.0000 0.982 1.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0000 0.982 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0938 0.979 0.988 0.012
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0938 0.979 0.988 0.012
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.2423 0.957 0.960 0.040
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0938 0.979 0.988 0.012
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.982 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.987 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.2423 0.957 0.960 0.040
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.9580 0.367 0.380 0.620
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0000 0.982 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.987 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0938 0.979 0.988 0.012
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.987 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.0938 0.979 0.988 0.012
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.987 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.982 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.8016 0.692 0.756 0.244
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0938 0.979 0.988 0.012
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0938 0.979 0.988 0.012
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.982 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0938 0.979 0.988 0.012
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.982 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.982 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.987 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.1414 0.969 0.020 0.980
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.982 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.982 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.987 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.987 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.987 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.982 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.0000 0.982 1.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.987 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.987 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0938 0.979 0.988 0.012
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0000 0.982 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0938 0.979 0.988 0.012
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0938 0.979 0.988 0.012
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.8555 0.605 0.280 0.720
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.982 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0672 0.980 0.992 0.008
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.987 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0938 0.979 0.988 0.012
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9751 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.6008 0.3900 0.628 0.000 0.372
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9751 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9751 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 3 0.0237 0.8684 0.004 0.000 0.996
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9751 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.0237 0.8684 0.004 0.000 0.996
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9751 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9751 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0237 0.8858 0.996 0.000 0.004
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0892 0.8809 0.980 0.000 0.020
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9751 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9751 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.6111 0.2833 0.396 0.000 0.604
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.9751 0.000 1.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 3 0.0237 0.8684 0.004 0.000 0.996
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 3 0.4750 0.6898 0.216 0.000 0.784
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0237 0.8671 0.004 0.000 0.996
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.4702 0.6948 0.788 0.000 0.212
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0237 0.8858 0.996 0.000 0.004
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 3 0.8018 0.1245 0.416 0.064 0.520
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.8863 1.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 3 0.4605 0.7033 0.204 0.000 0.796
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0237 0.8684 0.004 0.000 0.996
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9751 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9751 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0237 0.8858 0.996 0.000 0.004
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#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0237 0.8671 0.004 0.000 0.996
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9751 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.6308 0.0593 0.508 0.000 0.492
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.9751 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.8863 1.000 0.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9751 0.000 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0237 0.8684 0.004 0.000 0.996
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9751 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9751 0.000 1.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9751 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 3 0.6215 0.2694 0.428 0.000 0.572
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 3 0.5431 0.5958 0.284 0.000 0.716
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 3 0.0237 0.8684 0.004 0.000 0.996
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.5760 0.4959 0.672 0.000 0.328
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0237 0.9711 0.004 0.996 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 3 0.0237 0.8684 0.004 0.000 0.996
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.6252 0.2137 0.444 0.000 0.556
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.8684 0.000 0.000 1.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 3 0.0237 0.8684 0.004 0.000 0.996
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.8863 1.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.4002 0.7487 0.840 0.000 0.160
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.1163 0.8729 0.972 0.000 0.028
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0237 0.8858 0.996 0.000 0.004
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.8863 1.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9751 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.6302 0.0191 0.480 0.000 0.520
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.6769 0.2883 0.392 0.592 0.016
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.0000 0.8684 0.000 0.000 1.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9751 0.000 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.2878 0.8197 0.904 0.000 0.096
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9751 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.6168 0.2424 0.412 0.000 0.588
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 3 0.6095 0.3442 0.000 0.392 0.608
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 3 0.0237 0.8684 0.004 0.000 0.996
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.5493 0.6645 0.756 0.012 0.232
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.8863 1.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.8863 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 3 0.2165 0.8368 0.064 0.000 0.936
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.8863 1.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.4796 0.6880 0.780 0.000 0.220
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 3 0.0237 0.8684 0.004 0.000 0.996
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9751 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.5591 0.5397 0.000 0.696 0.304
#> E9C28902-05C9-4883-97A4-D612D54E46B4 3 0.0237 0.8684 0.004 0.000 0.996
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.1964 0.8514 0.944 0.000 0.056
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9751 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9751 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9751 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 3 0.0424 0.8676 0.008 0.000 0.992
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.0000 0.8684 0.000 0.000 1.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9751 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9751 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.8863 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.4605 0.7033 0.204 0.000 0.796
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.8863 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.8863 1.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.6192 0.2424 0.420 0.580 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.4605 0.7033 0.204 0.000 0.796
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 3 0.6305 0.0132 0.484 0.000 0.516
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9751 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.8863 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 3 0.4948 0.7804 0.100 0.000 0.776 0.124
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0779 0.8531 0.016 0.000 0.004 0.980
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0804 0.8527 0.012 0.000 0.008 0.980
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 3 0.3801 0.7948 0.220 0.000 0.780 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.3945 0.7976 0.216 0.000 0.780 0.004
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 4 0.4248 0.7992 0.012 0.000 0.220 0.768
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.1022 0.8486 0.032 0.000 0.000 0.968
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 3 0.4595 0.8119 0.176 0.000 0.780 0.044
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.3172 0.5714 0.000 0.000 0.840 0.160
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 3 0.4638 0.8113 0.180 0.000 0.776 0.044
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0707 0.8824 0.980 0.000 0.020 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 4 0.6469 0.6484 0.060 0.196 0.052 0.692
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 3 0.5314 0.7967 0.176 0.000 0.740 0.084
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 4 0.3801 0.8035 0.000 0.000 0.220 0.780
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0817 0.8793 0.976 0.000 0.024 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0707 0.8501 0.000 0.000 0.020 0.980
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 3 0.3837 0.7934 0.224 0.000 0.776 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.1767 0.8661 0.944 0.000 0.012 0.044
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 4 0.5247 0.7101 0.100 0.148 0.000 0.752
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.2081 0.8819 0.000 0.916 0.084 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.1661 0.8548 0.944 0.004 0.052 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.4817 0.1593 0.000 0.000 0.388 0.612
#> 177C7EF4-2D54-4555-947C-44EE7C688917 4 0.3801 0.8035 0.000 0.000 0.220 0.780
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.4361 0.6456 0.000 0.208 0.772 0.020
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 4 0.3764 0.8047 0.000 0.000 0.216 0.784
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 4 0.3764 0.8047 0.000 0.000 0.216 0.784
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.3494 0.8028 0.172 0.000 0.824 0.004
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.1302 0.8434 0.044 0.000 0.000 0.956
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0707 0.8501 0.000 0.000 0.020 0.980
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 3 0.4677 0.8115 0.176 0.000 0.776 0.048
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.3539 0.8033 0.176 0.000 0.820 0.004
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 3 0.3873 0.7897 0.228 0.000 0.772 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 4 0.4898 0.5812 0.000 0.000 0.416 0.584
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0469 0.8863 0.988 0.000 0.012 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.4103 0.5486 0.744 0.000 0.256 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.4431 0.3857 0.696 0.000 0.304 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 3 0.3907 0.7894 0.232 0.000 0.768 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.2589 0.8334 0.000 0.000 0.116 0.884
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.3577 0.7816 0.832 0.000 0.012 0.156
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.4158 0.7090 0.008 0.000 0.768 0.224
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 3 0.7886 0.2125 0.296 0.000 0.380 0.324
#> 251094BE-C33D-44F0-BD98-8618D71F520C 3 0.5944 0.6663 0.140 0.000 0.696 0.164
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 3 0.3837 0.7934 0.224 0.000 0.776 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 3 0.4677 0.8115 0.176 0.000 0.776 0.048
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.7919 -0.2029 0.000 0.348 0.336 0.316
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.0707 0.8501 0.000 0.000 0.020 0.980
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 4 0.3801 0.8035 0.000 0.000 0.220 0.780
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.3172 0.7789 0.840 0.000 0.000 0.160
#> 71ED572F-7780-47A4-A9F8-D320C737690D 3 0.3907 0.7894 0.232 0.000 0.768 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.0000 0.8540 0.000 0.000 0.000 1.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.3400 0.7615 0.820 0.000 0.000 0.180
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.1022 0.6992 0.000 0.000 0.968 0.032
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 4 0.4431 0.4910 0.304 0.000 0.000 0.696
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.3266 0.7718 0.832 0.000 0.000 0.168
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 3 0.3801 0.7948 0.220 0.000 0.780 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.2921 0.7330 0.000 0.000 0.860 0.140
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.2469 0.8533 0.000 0.892 0.000 0.108
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.0188 0.8541 0.000 0.000 0.004 0.996
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.0804 0.8527 0.012 0.000 0.008 0.980
#> 317CD049-3151-40B7-8E88-B0B8813338D6 3 0.7392 0.4461 0.232 0.000 0.520 0.248
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.3591 0.7725 0.824 0.000 0.008 0.168
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.1302 0.8631 0.956 0.000 0.044 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0336 0.8879 0.992 0.000 0.008 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 3 0.3801 0.7948 0.220 0.000 0.780 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 4 0.3837 0.8017 0.000 0.000 0.224 0.776
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 4 0.0817 0.8524 0.024 0.000 0.000 0.976
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 4 0.4331 0.7532 0.000 0.000 0.288 0.712
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.4989 -0.3414 0.000 0.000 0.528 0.472
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 3 0.7250 0.4874 0.168 0.000 0.516 0.316
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 4 0.3837 0.8017 0.000 0.000 0.224 0.776
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0469 0.8863 0.988 0.000 0.012 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.0707 0.8501 0.000 0.000 0.020 0.980
#> 51B7241E-F0BE-482A-88AE-89004BB68989 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 4 0.3801 0.8035 0.000 0.000 0.220 0.780
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 3 0.4961 0.3736 0.000 0.000 0.552 0.448
#> 7955FC55-386D-497E-AFED-019BBBAD428E 4 0.3801 0.8035 0.000 0.000 0.220 0.780
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 4 0.3172 0.8207 0.000 0.000 0.160 0.840
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 3 0.4595 0.8119 0.176 0.000 0.780 0.044
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 4 0.4933 0.5405 0.000 0.000 0.432 0.568
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 3 0.3801 0.7948 0.220 0.000 0.780 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 3 0.3801 0.7948 0.220 0.000 0.780 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 4 0.3873 0.7996 0.000 0.000 0.228 0.772
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.4040 0.6955 0.752 0.000 0.000 0.248
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 3 0.6813 0.2937 0.004 0.392 0.516 0.088
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.1767 0.6885 0.000 0.012 0.944 0.044
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 3 0.4638 0.8113 0.180 0.000 0.776 0.044
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 3 0.3808 0.8070 0.176 0.000 0.812 0.012
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 4 0.4888 0.5840 0.000 0.000 0.412 0.588
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 4 0.3801 0.8035 0.000 0.000 0.220 0.780
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 3 0.4595 0.8119 0.176 0.000 0.780 0.044
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 4 0.0707 0.8501 0.000 0.000 0.020 0.980
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 4 0.0592 0.8515 0.000 0.000 0.016 0.984
#> 0E22B729-C381-4B0C-9897-62DD38F51722 3 0.5126 0.3819 0.004 0.000 0.552 0.444
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 4 0.2469 0.7764 0.000 0.000 0.108 0.892
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 3 0.4086 0.7991 0.216 0.000 0.776 0.008
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 4 0.0000 0.8540 0.000 0.000 0.000 1.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 3 0.4869 0.7987 0.132 0.000 0.780 0.088
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 3 0.3356 0.7215 0.000 0.000 0.824 0.176
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 3 0.4595 0.8119 0.176 0.000 0.780 0.044
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 3 0.4982 0.7728 0.092 0.000 0.772 0.136
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.3486 0.7557 0.812 0.000 0.000 0.188
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 4 0.3801 0.8035 0.000 0.000 0.220 0.780
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.0000 0.8540 0.000 0.000 0.000 1.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.1022 0.8699 0.968 0.000 0.032 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 4 0.3801 0.8035 0.000 0.000 0.220 0.780
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 3 0.4459 0.8097 0.188 0.000 0.780 0.032
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 3 0.4214 0.8040 0.204 0.000 0.780 0.016
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.2081 0.6710 0.000 0.000 0.916 0.084
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 4 0.3764 0.8047 0.000 0.000 0.216 0.784
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.0000 0.8540 0.000 0.000 0.000 1.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.1022 0.8486 0.032 0.000 0.000 0.968
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 3 0.4992 0.4183 0.476 0.000 0.524 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.4040 0.5636 0.752 0.000 0.248 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.4948 0.1774 0.000 0.560 0.000 0.440
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0469 0.8854 0.988 0.000 0.012 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 3 0.3801 0.7081 0.000 0.000 0.780 0.220
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 3 0.5366 0.3885 0.012 0.000 0.548 0.440
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 4 0.3801 0.8035 0.000 0.000 0.220 0.780
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.1022 0.8486 0.032 0.000 0.000 0.968
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.0707 0.8501 0.000 0.000 0.020 0.980
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 3 0.4595 0.8119 0.176 0.000 0.780 0.044
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.1940 0.8283 0.076 0.000 0.000 0.924
#> C3921A29-80FF-4B9D-B366-5C0238A42231 4 0.3610 0.8104 0.000 0.000 0.200 0.800
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 4 0.3801 0.8035 0.000 0.000 0.220 0.780
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 4 0.4866 0.5897 0.000 0.000 0.404 0.596
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 4 0.3801 0.8035 0.000 0.000 0.220 0.780
#> CED15676-B901-4FC8-9C8D-51E529D9441D 3 0.3400 0.8017 0.180 0.000 0.820 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.4595 0.8119 0.176 0.000 0.780 0.044
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 4 0.3942 0.7958 0.000 0.000 0.236 0.764
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.4972 0.0402 0.456 0.000 0.000 0.544
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 4 0.3764 0.8047 0.000 0.000 0.216 0.784
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.4406 0.6160 0.700 0.000 0.000 0.300
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 3 0.4595 0.8119 0.176 0.000 0.780 0.044
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.0188 0.7152 0.000 0.000 0.996 0.004
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.3681 0.8053 0.176 0.000 0.816 0.008
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 4 0.3801 0.8035 0.000 0.000 0.220 0.780
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.3172 0.8207 0.000 0.000 0.160 0.840
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.3311 0.7680 0.828 0.000 0.000 0.172
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 3 0.3837 0.7934 0.224 0.000 0.776 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.3172 0.7789 0.840 0.000 0.000 0.160
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0592 0.7076 0.000 0.000 0.984 0.016
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.5910 0.5386 0.000 0.672 0.244 0.084
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.3172 0.8207 0.000 0.000 0.160 0.840
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.3311 0.7680 0.828 0.000 0.000 0.172
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.3266 0.5607 0.000 0.000 0.832 0.168
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 4 0.4522 0.5552 0.000 0.320 0.000 0.680
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0779 0.8511 0.004 0.000 0.016 0.980
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.2807 0.8385 0.912 0.020 0.024 0.044
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.0707 0.8533 0.020 0.000 0.000 0.980
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0707 0.8782 0.980 0.000 0.020 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 3 0.4375 0.8118 0.180 0.000 0.788 0.032
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.0707 0.8501 0.000 0.000 0.020 0.980
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.4277 0.5823 0.000 0.720 0.000 0.280
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.1022 0.8486 0.032 0.000 0.000 0.968
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 3 0.3801 0.7948 0.220 0.000 0.780 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.3448 0.6950 0.004 0.000 0.168 0.828
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0707 0.8501 0.000 0.000 0.020 0.980
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.8913 1.000 0.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.7454 0.4240 0.176 0.000 0.448 0.376
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.3444 0.6829 0.816 0.000 0.184 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.3873 0.6016 0.772 0.000 0.228 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.5380 0.6935 0.136 0.744 0.120 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.4595 0.8119 0.176 0.000 0.780 0.044
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4855 0.2428 0.400 0.000 0.000 0.600
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9697 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.8913 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.0451 0.90020 0.004 0.000 0.000 0.008 0.988
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#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0794 0.91133 0.972 0.000 0.000 0.028 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0000 0.87695 0.000 0.000 1.000 0.000 0.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.0000 0.90460 0.000 0.000 0.000 1.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.1478 0.89195 0.936 0.000 0.000 0.000 0.064
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0000 0.87695 0.000 0.000 1.000 0.000 0.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 5 0.0000 0.90566 0.000 0.000 0.000 0.000 1.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 4 0.0000 0.90460 0.000 0.000 0.000 1.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 5 0.0000 0.90566 0.000 0.000 0.000 0.000 1.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.2818 0.77638 0.000 0.000 0.856 0.012 0.132
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 4 0.4074 0.36427 0.000 0.000 0.364 0.636 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.0000 0.90460 0.000 0.000 0.000 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.1638 0.87271 0.064 0.000 0.000 0.932 0.004
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 5 0.3949 0.50862 0.332 0.000 0.000 0.000 0.668
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.3913 0.57222 0.676 0.000 0.000 0.000 0.324
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.4171 0.34099 0.000 0.604 0.000 0.396 0.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0703 0.92043 0.976 0.000 0.000 0.000 0.024
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.0510 0.89630 0.000 0.000 0.000 0.016 0.984
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.0000 0.90460 0.000 0.000 0.000 1.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 5 0.3707 0.59927 0.000 0.000 0.000 0.284 0.716
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0000 0.87695 0.000 0.000 1.000 0.000 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.1478 0.87395 0.064 0.000 0.000 0.936 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.0000 0.90460 0.000 0.000 0.000 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.0000 0.90566 0.000 0.000 0.000 0.000 1.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.1478 0.87395 0.064 0.000 0.000 0.936 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 4 0.4182 0.20765 0.000 0.000 0.400 0.600 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.92667 1.000 0.000 0.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 0.87695 0.000 0.000 1.000 0.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0000 0.90460 0.000 0.000 0.000 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.5238 0.61105 0.000 0.000 0.652 0.260 0.088
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0963 0.85920 0.000 0.000 0.964 0.036 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.0000 0.90566 0.000 0.000 0.000 0.000 1.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.0000 0.90566 0.000 0.000 0.000 0.000 1.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.92667 1.000 0.000 0.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.2230 0.80478 0.000 0.000 0.884 0.116 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.4294 0.15978 0.468 0.000 0.000 0.532 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.92667 1.000 0.000 0.000 0.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.3857 0.56195 0.000 0.000 0.688 0.312 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.2377 0.80870 0.872 0.000 0.000 0.128 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.0000 0.90566 0.000 0.000 0.000 0.000 1.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0000 0.90460 0.000 0.000 0.000 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.0703 0.89010 0.000 0.000 0.024 0.000 0.976
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.1043 0.92815 0.000 0.960 0.040 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.1197 0.88324 0.048 0.000 0.000 0.952 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.0000 0.90566 0.000 0.000 0.000 0.000 1.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.87695 0.000 0.000 1.000 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.0290 0.90062 0.000 0.000 0.008 0.992 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0290 0.92663 0.992 0.000 0.000 0.000 0.008
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.92667 1.000 0.000 0.000 0.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.92667 1.000 0.000 0.000 0.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.0000 0.90566 0.000 0.000 0.000 0.000 1.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.92667 1.000 0.000 0.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.4242 0.27958 0.000 0.000 0.572 0.000 0.428
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.5429 0.15280 0.000 0.528 0.424 0.012 0.036
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.0290 0.90062 0.000 0.000 0.008 0.992 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0290 0.92337 0.992 0.000 0.000 0.008 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0000 0.87695 0.000 0.000 1.000 0.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 4 0.3774 0.54131 0.000 0.296 0.000 0.704 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0000 0.90460 0.000 0.000 0.000 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.4682 0.68368 0.756 0.172 0.036 0.000 0.036
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.92667 1.000 0.000 0.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0404 0.92549 0.988 0.000 0.000 0.000 0.012
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.1908 0.85213 0.092 0.000 0.000 0.908 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.1270 0.90070 0.948 0.000 0.000 0.000 0.052
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.0000 0.90566 0.000 0.000 0.000 0.000 1.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.0404 0.89851 0.000 0.000 0.000 0.988 0.012
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.3661 0.61087 0.000 0.724 0.000 0.276 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.1764 0.87102 0.064 0.000 0.000 0.928 0.008
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0000 0.90566 0.000 0.000 0.000 0.000 1.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.4599 0.39608 0.020 0.000 0.000 0.624 0.356
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0000 0.90460 0.000 0.000 0.000 1.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0404 0.92549 0.988 0.000 0.000 0.000 0.012
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.4015 0.47371 0.000 0.000 0.000 0.348 0.652
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.3305 0.72752 0.776 0.000 0.000 0.000 0.224
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.3816 0.60603 0.696 0.000 0.000 0.000 0.304
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.5072 0.70202 0.120 0.748 0.036 0.000 0.096
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0000 0.90566 0.000 0.000 0.000 0.000 1.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4256 0.28160 0.436 0.000 0.000 0.564 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.96427 0.000 1.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0404 0.92549 0.988 0.000 0.000 0.000 0.012
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 6 0.3774 0.6909 0.000 0.408 0.000 0.000 0.000 0.592
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.0551 0.8817 0.004 0.000 0.000 0.004 0.984 0.008
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 6 0.3774 0.6909 0.000 0.408 0.000 0.000 0.000 0.592
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0000 0.8780 0.000 0.000 0.000 1.000 0.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.8780 0.000 0.000 0.000 1.000 0.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0632 0.8819 0.000 0.976 0.000 0.000 0.000 0.024
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 6 0.3747 0.7074 0.000 0.396 0.000 0.000 0.000 0.604
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0260 0.8834 0.000 0.000 0.000 0.000 0.992 0.008
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0000 0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.3817 -0.2151 0.000 0.568 0.000 0.000 0.000 0.432
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.2872 0.7850 0.000 0.000 0.836 0.024 0.000 0.140
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 6 0.3766 0.7914 0.000 0.212 0.040 0.000 0.000 0.748
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.4190 0.7266 0.148 0.000 0.000 0.740 0.000 0.112
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.0000 0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.4732 0.0711 0.000 0.000 0.484 0.020 0.480 0.016
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.1610 0.8326 0.000 0.000 0.000 0.000 0.916 0.084
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.2728 0.8205 0.860 0.000 0.000 0.000 0.100 0.040
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.2400 0.7473 0.000 0.116 0.004 0.008 0.000 0.872
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0632 0.8432 0.976 0.000 0.000 0.000 0.000 0.024
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.1610 0.8252 0.000 0.000 0.000 0.084 0.916 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0260 0.8993 0.000 0.000 0.992 0.000 0.000 0.008
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.1663 0.8262 0.000 0.912 0.000 0.000 0.000 0.088
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0713 0.8463 0.972 0.000 0.000 0.000 0.028 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0000 0.8780 0.000 0.000 0.000 1.000 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.8459 1.000 0.000 0.000 0.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.2358 0.8377 0.876 0.000 0.000 0.000 0.016 0.108
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0000 0.8780 0.000 0.000 0.000 1.000 0.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.0972 0.8689 0.028 0.000 0.000 0.000 0.964 0.008
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.2266 0.8386 0.880 0.000 0.000 0.000 0.012 0.108
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.2048 0.8362 0.880 0.000 0.000 0.000 0.000 0.120
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.3023 0.8221 0.768 0.000 0.000 0.000 0.000 0.232
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 6 0.5269 0.5404 0.036 0.068 0.000 0.264 0.000 0.632
#> 655BD3AF-5094-4B19-93A8-401C70369B17 6 0.2491 0.7779 0.000 0.164 0.000 0.000 0.000 0.836
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.3585 0.7910 0.780 0.000 0.000 0.000 0.048 0.172
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.5197 0.2885 0.000 0.000 0.000 0.560 0.332 0.108
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#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.0000 0.8780 0.000 0.000 0.000 1.000 0.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.1663 0.8262 0.000 0.912 0.000 0.000 0.000 0.088
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.1327 0.8400 0.000 0.936 0.000 0.000 0.000 0.064
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.0000 0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.4190 0.7266 0.148 0.000 0.000 0.740 0.000 0.112
#> C3921A29-80FF-4B9D-B366-5C0238A42231 4 0.2896 0.7276 0.000 0.000 0.160 0.824 0.000 0.016
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.1957 0.8166 0.888 0.000 0.000 0.000 0.000 0.112
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0146 0.9009 0.000 0.000 0.996 0.000 0.000 0.004
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0000 0.8780 0.000 0.000 0.000 1.000 0.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.6196 0.3893 0.000 0.000 0.484 0.260 0.240 0.016
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0458 0.8985 0.000 0.000 0.984 0.000 0.000 0.016
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.0363 0.8826 0.000 0.000 0.000 0.000 0.988 0.012
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.0000 0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.1714 0.8442 0.908 0.000 0.000 0.000 0.000 0.092
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.3509 0.6163 0.000 0.000 0.744 0.240 0.000 0.016
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.5767 -0.0198 0.376 0.000 0.000 0.448 0.000 0.176
#> 7A110994-5741-4013-91F0-DD2E1D343F91 6 0.3774 0.6909 0.000 0.408 0.000 0.000 0.000 0.592
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.1910 0.8399 0.892 0.000 0.000 0.000 0.000 0.108
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0632 0.8819 0.000 0.976 0.000 0.000 0.000 0.024
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 4 0.4264 0.0618 0.000 0.000 0.484 0.500 0.000 0.016
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0260 0.8888 0.000 0.992 0.000 0.000 0.000 0.008
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.3405 0.7637 0.812 0.000 0.000 0.076 0.000 0.112
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.0000 0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0000 0.8780 0.000 0.000 0.000 1.000 0.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.0622 0.8772 0.000 0.000 0.012 0.000 0.980 0.008
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 6 0.3428 0.7601 0.000 0.304 0.000 0.000 0.000 0.696
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.2311 0.8239 0.016 0.000 0.000 0.880 0.000 0.104
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.0000 0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.9006 0.000 0.000 1.000 0.000 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.0000 0.8780 0.000 0.000 0.000 1.000 0.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.1074 0.8501 0.960 0.000 0.000 0.000 0.012 0.028
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.1957 0.8166 0.888 0.000 0.000 0.000 0.000 0.112
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.2854 0.8180 0.792 0.000 0.000 0.000 0.000 0.208
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.0000 0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.1957 0.8166 0.888 0.000 0.000 0.000 0.000 0.112
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 5 0.5425 0.3055 0.000 0.000 0.300 0.000 0.552 0.148
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.3102 0.7773 0.000 0.156 0.028 0.000 0.000 0.816
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.0000 0.8780 0.000 0.000 0.000 1.000 0.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.1663 0.8262 0.000 0.912 0.000 0.000 0.000 0.088
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.1957 0.8166 0.888 0.000 0.000 0.000 0.000 0.112
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.1556 0.8548 0.000 0.000 0.920 0.000 0.000 0.080
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 6 0.4977 0.6811 0.000 0.164 0.000 0.188 0.000 0.648
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0000 0.8780 0.000 0.000 0.000 1.000 0.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.5980 0.5834 0.572 0.144 0.000 0.000 0.040 0.244
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.8459 1.000 0.000 0.000 0.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.2358 0.8377 0.876 0.000 0.000 0.000 0.016 0.108
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.2934 0.8049 0.044 0.000 0.000 0.844 0.000 0.112
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0547 0.8466 0.980 0.000 0.000 0.000 0.020 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.0000 0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.0363 0.8720 0.000 0.000 0.000 0.988 0.012 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 6 0.3679 0.7891 0.000 0.200 0.000 0.040 0.000 0.760
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.4060 0.7479 0.120 0.000 0.000 0.764 0.004 0.112
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.0000 0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0632 0.8819 0.000 0.976 0.000 0.000 0.000 0.024
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.3717 0.0116 0.000 0.616 0.000 0.000 0.000 0.384
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.4627 0.4150 0.016 0.000 0.000 0.620 0.336 0.028
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0000 0.8780 0.000 0.000 0.000 1.000 0.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.8922 0.000 1.000 0.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.2358 0.8377 0.876 0.000 0.000 0.000 0.016 0.108
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.3789 0.2978 0.000 0.000 0.000 0.416 0.584 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.4596 0.6407 0.672 0.000 0.000 0.000 0.240 0.088
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.5185 0.4660 0.564 0.000 0.000 0.000 0.328 0.108
#> AAD9685A-564B-42E9-91E3-431951154BA7 6 0.3634 0.6025 0.000 0.356 0.000 0.000 0.000 0.644
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0000 0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.5423 -0.0918 0.444 0.000 0.000 0.440 0.000 0.116
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.3833 -0.1892 0.000 0.556 0.000 0.000 0.000 0.444
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.2358 0.8377 0.876 0.000 0.000 0.000 0.016 0.108
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 17377 rows and 265 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 1.000 0.956 0.984 0.4298 0.565 0.565
#> 3 3 0.580 0.741 0.815 0.5090 0.765 0.590
#> 4 4 0.637 0.722 0.831 0.1265 0.892 0.697
#> 5 5 0.685 0.694 0.799 0.0553 0.945 0.798
#> 6 6 0.665 0.548 0.725 0.0392 0.937 0.750
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.000 0.96262 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.000 0.99225 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.000 0.96262 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.000 0.96262 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.000 0.99225 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.000 0.96262 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.000 0.99225 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.000 0.96262 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.000 0.96262 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.000 0.99225 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.000 0.99225 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.000 0.96262 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.000 0.96262 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.000 0.99225 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.000 0.96262 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.000 0.99225 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.000 0.99225 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.000 0.99225 1.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.000 0.99225 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.000 0.99225 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.975 0.34917 0.408 0.592
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.000 0.99225 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.000 0.99225 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.000 0.99225 1.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.000 0.96262 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.000 0.96262 0.000 1.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.000 0.99225 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.000 0.99225 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.000 0.99225 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.000 0.99225 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.000 0.99225 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.000 0.99225 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.000 0.99225 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 1.000 -0.05425 0.504 0.496
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.000 0.96262 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.000 0.99225 1.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.456 0.87257 0.096 0.904
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#> E344638F-9060-460F-8F7A-60D19442F294 1 0.000 0.99225 1.000 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.260 0.92447 0.044 0.956
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.000 0.99225 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.000 0.96262 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.000 0.99225 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.000 0.96262 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.000 0.99225 1.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.000 0.96262 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.000 0.99225 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.821 0.66054 0.256 0.744
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.000 0.99225 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.000 0.99225 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.000 0.99225 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.000 0.99225 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.000 0.99225 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.000 0.99225 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.000 0.96262 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.000 0.96262 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.000 0.99225 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.000 0.99225 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.000 0.96262 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.000 0.96262 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.000 0.96262 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.000 0.99225 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.260 0.94566 0.956 0.044
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.000 0.96262 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.000 0.96262 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.000 0.99225 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.000 0.99225 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.000 0.99225 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.000 0.99225 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.000 0.96262 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.000 0.99225 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.000 0.99225 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.000 0.96262 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.000 0.99225 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9694 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.2165 0.7617 0.936 0.000 0.064
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9694 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9694 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 3 0.1964 0.7785 0.056 0.000 0.944
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9694 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.3412 0.7589 0.124 0.000 0.876
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9694 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9694 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0424 0.7566 0.992 0.000 0.008
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0424 0.7566 0.992 0.000 0.008
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9694 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9694 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.6267 0.5311 0.548 0.000 0.452
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1411 0.9327 0.000 0.964 0.036
#> 58578614-E4A3-4655-BBAB-F65851625E0A 3 0.4002 0.7798 0.160 0.000 0.840
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0747 0.7629 0.984 0.000 0.016
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.5926 0.6094 0.644 0.000 0.356
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0592 0.7584 0.988 0.000 0.012
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.2261 0.7344 0.932 0.000 0.068
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.9500 0.0310 0.344 0.460 0.196
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 3 0.5785 0.6367 0.332 0.000 0.668
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 3 0.6267 0.3963 0.452 0.000 0.548
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.6280 0.5160 0.540 0.000 0.460
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9694 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9694 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.2537 0.7285 0.920 0.000 0.080
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 3 0.2625 0.7849 0.084 0.000 0.916
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.6180 -0.1253 0.584 0.000 0.416
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.3340 0.7395 0.880 0.000 0.120
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.6204 0.3728 0.424 0.000 0.576
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.2066 0.7640 0.940 0.000 0.060
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.4504 0.7221 0.804 0.000 0.196
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.6264 0.4959 0.724 0.032 0.244
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9694 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.5138 0.5283 0.748 0.000 0.252
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.3482 0.8353 0.000 0.872 0.128
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9694 0.000 1.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.7703 0.4479 0.664 0.232 0.104
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.3038 0.7482 0.896 0.000 0.104
#> 177C7EF4-2D54-4555-947C-44EE7C688917 1 0.6026 0.5948 0.624 0.000 0.376
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9694 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.8404 -0.0371 0.452 0.464 0.084
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.5397 0.6394 0.720 0.000 0.280
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.9694 0.000 1.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9694 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 1 0.6168 0.4122 0.588 0.000 0.412
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.2959 0.7502 0.900 0.000 0.100
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 3 0.1753 0.7805 0.048 0.000 0.952
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9694 0.000 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 3 0.6225 0.4736 0.432 0.000 0.568
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 3 0.1753 0.7805 0.048 0.000 0.952
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0424 0.7566 0.992 0.000 0.008
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.0237 0.7597 0.996 0.000 0.004
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 3 0.3551 0.7882 0.132 0.000 0.868
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.2066 0.7386 0.940 0.000 0.060
#> B344A530-92CD-468B-847A-DF8E25688081 1 0.6095 0.5816 0.608 0.000 0.392
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.5905 0.1897 0.648 0.000 0.352
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.1289 0.7509 0.968 0.000 0.032
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.9694 0.000 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9694 0.000 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9694 0.000 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.4235 0.7340 0.824 0.000 0.176
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0424 0.7566 0.992 0.000 0.008
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0592 0.7565 0.988 0.000 0.012
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.5905 0.5843 0.648 0.000 0.352
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.4974 0.5423 0.764 0.000 0.236
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.2448 0.7602 0.924 0.000 0.076
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 3 0.4235 0.7786 0.176 0.000 0.824
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.1643 0.7654 0.956 0.000 0.044
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.2261 0.7646 0.932 0.000 0.068
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.2448 0.7602 0.924 0.000 0.076
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.9694 0.000 1.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9694 0.000 1.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.5588 0.7589 0.124 0.808 0.068
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9694 0.000 1.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 3 0.6225 0.4205 0.432 0.000 0.568
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 1 0.6062 0.5892 0.616 0.000 0.384
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 3 0.4002 0.7280 0.160 0.000 0.840
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.5098 0.5090 0.752 0.000 0.248
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.9694 0.000 1.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 3 0.8750 0.5206 0.164 0.256 0.580
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 3 0.1860 0.7797 0.052 0.000 0.948
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 3 0.4842 0.7551 0.224 0.000 0.776
#> CD6F9E20-B301-4663-87EC-953EDF49754F 1 0.5138 0.6428 0.748 0.000 0.252
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 3 0.4178 0.7791 0.172 0.000 0.828
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.2261 0.7353 0.932 0.000 0.068
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9694 0.000 1.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9694 0.000 1.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 3 0.1753 0.7805 0.048 0.000 0.952
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 3 0.3941 0.7809 0.156 0.000 0.844
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0592 0.7560 0.988 0.000 0.012
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.2711 0.7456 0.912 0.000 0.088
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.9694 0.000 1.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 3 0.5706 0.4819 0.320 0.000 0.680
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 3 0.3038 0.7733 0.104 0.000 0.896
#> 317CD049-3151-40B7-8E88-B0B8813338D6 3 0.3941 0.7809 0.156 0.000 0.844
#> 93835C77-F8FA-4928-843C-8016A91881FA 3 0.4504 0.7715 0.196 0.000 0.804
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.1860 0.7444 0.948 0.000 0.052
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.2066 0.7411 0.940 0.000 0.060
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0424 0.7566 0.992 0.000 0.008
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.9694 0.000 1.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 1 0.6062 0.5892 0.616 0.000 0.384
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 3 0.1753 0.7805 0.048 0.000 0.952
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.9694 0.000 1.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 1 0.6062 0.5892 0.616 0.000 0.384
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 1 0.6062 0.5892 0.616 0.000 0.384
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 3 0.4235 0.7786 0.176 0.000 0.824
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 1 0.5810 0.6193 0.664 0.000 0.336
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.2261 0.7445 0.932 0.000 0.068
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.9694 0.000 1.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.2261 0.7344 0.932 0.000 0.068
#> EF12E923-1860-4269-B57B-BA6238FA4403 3 0.3686 0.7513 0.140 0.000 0.860
#> 51B7241E-F0BE-482A-88AE-89004BB68989 3 0.1860 0.7797 0.052 0.000 0.948
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 1 0.5465 0.6152 0.712 0.000 0.288
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 3 0.6252 0.4102 0.444 0.000 0.556
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.6309 -0.4261 0.496 0.000 0.504
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.5988 0.6030 0.632 0.000 0.368
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0424 0.7566 0.992 0.000 0.008
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 1 0.4931 0.6367 0.768 0.000 0.232
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0237 0.7575 0.996 0.000 0.004
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 3 0.3619 0.7909 0.136 0.000 0.864
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.2165 0.7632 0.936 0.000 0.064
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.9694 0.000 1.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 1 0.5926 0.6097 0.644 0.000 0.356
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 3 0.1964 0.7785 0.056 0.000 0.944
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 3 0.4235 0.7786 0.176 0.000 0.824
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.9694 0.000 1.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.7981 0.3582 0.340 0.584 0.076
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.9694 0.000 1.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 1 0.9517 0.2241 0.472 0.320 0.208
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.9694 0.000 1.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 3 0.5678 0.6457 0.316 0.000 0.684
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.9694 0.000 1.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.9694 0.000 1.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0747 0.7629 0.984 0.000 0.016
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.9694 0.000 1.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.2066 0.7640 0.940 0.000 0.060
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.9694 0.000 1.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 1 0.5327 0.6237 0.728 0.000 0.272
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 1 0.6062 0.5892 0.616 0.000 0.384
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.4235 0.6902 0.824 0.000 0.176
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.9694 0.000 1.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 3 0.3192 0.7719 0.112 0.000 0.888
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 3 0.6008 0.3837 0.372 0.000 0.628
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.4605 0.6742 0.796 0.000 0.204
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.4931 0.6121 0.768 0.000 0.232
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.6008 0.5223 0.628 0.000 0.372
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0747 0.7558 0.984 0.000 0.016
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.7014 0.4975 0.712 0.080 0.208
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 3 0.5988 0.4104 0.368 0.000 0.632
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 3 0.5621 0.5601 0.308 0.000 0.692
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.4235 0.6819 0.824 0.000 0.176
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 3 0.4605 0.7717 0.204 0.000 0.796
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.3941 0.7422 0.844 0.000 0.156
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.6111 0.2478 0.604 0.000 0.396
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.6225 0.0799 0.568 0.000 0.432
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 3 0.4235 0.7786 0.176 0.000 0.824
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 1 0.6062 0.5892 0.616 0.000 0.384
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 3 0.2165 0.7783 0.064 0.000 0.936
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.9694 0.000 1.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.9694 0.000 1.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.4346 0.7295 0.816 0.000 0.184
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 1 0.6274 0.5237 0.544 0.000 0.456
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.2165 0.7641 0.936 0.000 0.064
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.2448 0.7657 0.924 0.000 0.076
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.2261 0.7623 0.932 0.000 0.068
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 1 0.5968 0.6063 0.636 0.000 0.364
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.9694 0.000 1.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.9694 0.000 1.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.5905 0.6046 0.648 0.000 0.352
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 3 0.3267 0.7654 0.116 0.000 0.884
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.9694 0.000 1.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 3 0.1753 0.7805 0.048 0.000 0.952
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 3 0.5905 0.6197 0.352 0.000 0.648
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.9694 0.000 1.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.2165 0.7645 0.936 0.000 0.064
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0747 0.9537 0.000 0.984 0.016
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.2356 0.7434 0.928 0.000 0.072
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.9694 0.000 1.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9694 0.000 1.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.1964 0.7646 0.944 0.000 0.056
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.9694 0.000 1.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 3 0.4178 0.7791 0.172 0.000 0.828
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 3 0.6154 0.4697 0.408 0.000 0.592
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 1 0.6260 0.5382 0.552 0.000 0.448
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 3 0.4178 0.7791 0.172 0.000 0.828
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 3 0.4654 0.7728 0.208 0.000 0.792
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.9694 0.000 1.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.9694 0.000 1.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.1860 0.7650 0.948 0.000 0.052
#> C06603C2-163D-40B6-A9FE-882424F18FE9 3 0.4235 0.7786 0.176 0.000 0.824
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.5706 0.6132 0.680 0.000 0.320
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 3 0.5591 0.6652 0.304 0.000 0.696
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 1 0.6062 0.5892 0.616 0.000 0.384
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.9694 0.000 1.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9694 0.000 1.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 3 0.1964 0.7785 0.056 0.000 0.944
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 1 0.5905 0.6160 0.648 0.000 0.352
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 1 0.5988 0.6019 0.632 0.000 0.368
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.2066 0.7640 0.940 0.000 0.060
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.0000 0.7583 1.000 0.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9694 0.000 1.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.2625 0.7256 0.916 0.000 0.084
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 1 0.5650 0.6256 0.688 0.000 0.312
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9694 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 3 0.3816 0.7443 0.148 0.000 0.852
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.9694 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.2878 0.7156 0.904 0.000 0.096
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9694 0.000 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.5621 0.4632 0.308 0.000 0.692
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9694 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9694 0.000 1.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9694 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 3 0.1753 0.7805 0.048 0.000 0.952
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.1031 0.7643 0.976 0.000 0.024
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 3 0.5431 0.7006 0.284 0.000 0.716
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.3116 0.7478 0.892 0.000 0.108
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9694 0.000 1.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 3 0.1964 0.7785 0.056 0.000 0.944
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.2625 0.7573 0.916 0.000 0.084
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.5327 0.4194 0.272 0.000 0.728
#> 22863A57-F066-4DD1-A859-4336F43D144C 3 0.2066 0.7787 0.060 0.000 0.940
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.2448 0.7300 0.924 0.000 0.076
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 3 0.5733 0.6546 0.324 0.000 0.676
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.5404 0.5156 0.740 0.004 0.256
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.1163 0.7626 0.972 0.000 0.028
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 3 0.5465 0.6854 0.288 0.000 0.712
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9694 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.1529 0.7606 0.960 0.000 0.040
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.3797 0.8616 0.052 0.892 0.056
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.5905 0.6078 0.648 0.000 0.352
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9694 0.000 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 3 0.4504 0.7587 0.196 0.000 0.804
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9694 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.6225 0.5616 0.568 0.000 0.432
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.9694 0.000 1.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 3 0.2796 0.7774 0.092 0.000 0.908
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.7447 0.5174 0.280 0.652 0.068
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 3 0.5882 0.4770 0.348 0.000 0.652
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.4346 0.7295 0.816 0.000 0.184
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 3 0.5560 0.5891 0.300 0.000 0.700
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.4887 0.5425 0.772 0.000 0.228
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.2711 0.7556 0.912 0.000 0.088
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.1860 0.7586 0.948 0.000 0.052
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9694 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.9694 0.000 1.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 3 0.4178 0.7791 0.172 0.000 0.828
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0592 0.7583 0.988 0.000 0.012
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9694 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9694 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9694 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 3 0.2261 0.7813 0.068 0.000 0.932
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.5986 0.6975 0.284 0.012 0.704
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9694 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9694 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.4346 0.7295 0.816 0.000 0.184
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.6225 0.4266 0.432 0.000 0.568
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.4346 0.7295 0.816 0.000 0.184
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.3412 0.7434 0.876 0.000 0.124
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9694 0.000 1.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.5678 0.4659 0.684 0.000 0.316
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 3 0.5016 0.6685 0.240 0.000 0.760
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9694 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.4178 0.7375 0.828 0.000 0.172
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.6248 0.6587 0.656 0.000 0.224 0.120
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.1661 0.7584 0.004 0.000 0.052 0.944
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.4175 0.7229 0.016 0.000 0.200 0.784
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.3356 0.7510 0.824 0.000 0.176 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.4267 0.7433 0.788 0.000 0.188 0.024
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.3708 0.7165 0.020 0.000 0.832 0.148
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.6583 0.6352 0.116 0.684 0.172 0.028
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.1940 0.7677 0.076 0.000 0.000 0.924
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.4678 0.7162 0.744 0.000 0.232 0.024
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.1004 0.8097 0.024 0.000 0.972 0.004
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.3681 0.7509 0.816 0.000 0.176 0.008
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0707 0.7336 0.980 0.000 0.000 0.020
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.8751 0.2736 0.064 0.464 0.224 0.248
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 4 0.4661 0.4445 0.348 0.000 0.000 0.652
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.6121 0.5567 0.352 0.000 0.060 0.588
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.3447 0.7300 0.020 0.000 0.852 0.128
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.1118 0.7296 0.964 0.000 0.000 0.036
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.4139 0.7374 0.024 0.000 0.176 0.800
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.4804 0.0151 0.616 0.000 0.000 0.384
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.3494 0.7008 0.824 0.000 0.004 0.172
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.6042 0.4489 0.052 0.000 0.368 0.580
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.3610 0.7409 0.800 0.000 0.200 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.4095 0.6905 0.792 0.000 0.016 0.192
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.4033 0.6203 0.824 0.008 0.020 0.148
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.3271 0.6444 0.856 0.000 0.012 0.132
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.6648 0.4874 0.076 0.628 0.020 0.276
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.4922 0.7689 0.088 0.792 0.112 0.008
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.5749 0.4778 0.724 0.204 0.032 0.040
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.5300 0.6393 0.664 0.000 0.308 0.028
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.1109 0.8091 0.028 0.000 0.968 0.004
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.8666 0.2686 0.288 0.460 0.192 0.060
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#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.1389 0.7276 0.952 0.000 0.000 0.048
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 4 0.5872 0.2879 0.040 0.000 0.384 0.576
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.1356 0.7594 0.032 0.000 0.008 0.960
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.5036 0.6757 0.696 0.000 0.280 0.024
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.5859 0.7053 0.208 0.004 0.088 0.700
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.5815 0.4261 0.540 0.000 0.428 0.032
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.4781 0.7725 0.088 0.796 0.112 0.004
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.3088 0.7550 0.008 0.000 0.128 0.864
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.5712 0.5188 0.584 0.000 0.384 0.032
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.3479 0.7217 0.012 0.000 0.840 0.148
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.2546 0.7530 0.008 0.000 0.092 0.900
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.1211 0.7292 0.960 0.000 0.000 0.040
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.4477 0.6944 0.312 0.000 0.000 0.688
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.3658 0.6328 0.836 0.000 0.020 0.144
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.3157 0.7580 0.852 0.000 0.144 0.004
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 4 0.2011 0.7589 0.080 0.000 0.000 0.920
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.5933 -0.0103 0.408 0.000 0.552 0.040
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.7812 0.5048 0.188 0.588 0.172 0.052
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.2908 0.7840 0.064 0.000 0.896 0.040
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 4 0.2125 0.7614 0.076 0.000 0.004 0.920
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.2408 0.8014 0.044 0.000 0.920 0.036
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0657 0.9345 0.000 0.984 0.012 0.004
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.3852 0.7341 0.012 0.000 0.180 0.808
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.8104 0.3159 0.352 0.480 0.116 0.052
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.4677 0.5588 0.680 0.000 0.004 0.316
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.3836 0.7034 0.816 0.000 0.016 0.168
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.7113 0.2460 0.384 0.000 0.132 0.484
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.4313 0.5086 0.736 0.000 0.004 0.260
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.5228 0.6386 0.664 0.000 0.312 0.024
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.6317 0.6367 0.624 0.000 0.280 0.096
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0657 0.9345 0.000 0.984 0.012 0.004
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.3910 0.7649 0.156 0.000 0.024 0.820
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.3937 0.7453 0.800 0.000 0.188 0.012
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.3764 0.7387 0.012 0.000 0.172 0.816
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.6277 0.6947 0.200 0.012 0.104 0.684
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.3764 0.7035 0.816 0.000 0.012 0.172
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.5543 0.5815 0.360 0.000 0.028 0.612
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.3836 0.7034 0.816 0.000 0.016 0.168
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.4485 0.7342 0.772 0.000 0.200 0.028
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.5291 0.7469 0.104 0.772 0.112 0.012
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.6257 -0.1602 0.508 0.000 0.056 0.436
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.5038 0.5317 0.296 0.000 0.020 0.684
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9444 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.3421 0.7544 0.868 0.000 0.088 0.044
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0290 0.9656 0.008 0.992 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.3852 0.7027 0.000 0.000 0.220 0.020 0.760
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0609 0.9596 0.020 0.980 0.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.1815 0.7383 0.020 0.000 0.024 0.940 0.016
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0703 0.9683 0.024 0.976 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.4012 0.7124 0.008 0.000 0.168 0.788 0.036
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0510 0.9688 0.016 0.984 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0609 0.9596 0.020 0.980 0.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.3461 0.7021 0.004 0.000 0.224 0.000 0.772
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.3759 0.7025 0.016 0.000 0.220 0.000 0.764
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0703 0.9683 0.024 0.976 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0609 0.9685 0.020 0.980 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.3573 0.6933 0.036 0.000 0.812 0.152 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 1 0.6313 0.6134 0.592 0.236 0.156 0.004 0.012
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.4219 0.7285 0.116 0.000 0.000 0.780 0.104
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.3720 0.6971 0.012 0.000 0.228 0.000 0.760
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.8255 0.000 0.000 1.000 0.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.3720 0.6985 0.012 0.000 0.228 0.000 0.760
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.2127 0.6807 0.108 0.000 0.000 0.000 0.892
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.7424 0.5881 0.604 0.120 0.104 0.128 0.044
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 4 0.6352 0.3032 0.164 0.000 0.000 0.456 0.380
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.7393 0.3277 0.040 0.000 0.248 0.440 0.272
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.3573 0.6933 0.036 0.000 0.812 0.152 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0290 0.9656 0.008 0.992 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0703 0.9683 0.024 0.976 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.2286 0.6790 0.108 0.000 0.000 0.004 0.888
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.3781 0.7483 0.036 0.000 0.092 0.836 0.036
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 5 0.5703 0.4367 0.184 0.000 0.000 0.188 0.628
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 5 0.3970 0.6284 0.156 0.000 0.000 0.056 0.788
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.6155 0.1788 0.020 0.000 0.428 0.476 0.076
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.3039 0.7297 0.012 0.000 0.152 0.000 0.836
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 5 0.4819 0.6278 0.148 0.000 0.004 0.112 0.736
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.5229 -0.1072 0.500 0.000 0.008 0.028 0.464
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0703 0.9683 0.024 0.976 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 5 0.4217 0.5627 0.232 0.000 0.008 0.020 0.740
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 1 0.7645 0.5272 0.480 0.236 0.028 0.228 0.028
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.4825 0.4296 0.588 0.392 0.004 0.004 0.012
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 5 0.6304 -0.0465 0.404 0.104 0.008 0.004 0.480
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.3890 0.6873 0.012 0.000 0.252 0.000 0.736
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.8255 0.000 0.000 1.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0703 0.9683 0.024 0.976 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.5791 0.5933 0.700 0.104 0.144 0.004 0.048
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.2624 0.7499 0.000 0.000 0.872 0.012 0.116
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.1410 0.9233 0.060 0.940 0.000 0.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.1173 0.8197 0.004 0.000 0.964 0.012 0.020
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.4538 0.5339 0.016 0.000 0.364 0.000 0.620
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.2588 0.7326 0.060 0.000 0.000 0.892 0.048
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0703 0.9683 0.024 0.976 0.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.6634 0.4093 0.024 0.000 0.304 0.528 0.144
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.1173 0.7369 0.004 0.000 0.012 0.964 0.020
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.3355 0.7172 0.012 0.000 0.184 0.000 0.804
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.4356 0.5723 0.012 0.000 0.340 0.000 0.648
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.3570 0.7346 0.004 0.000 0.124 0.828 0.044
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.0798 0.7085 0.016 0.000 0.008 0.000 0.976
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0609 0.8177 0.000 0.000 0.980 0.020 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 5 0.3897 0.6259 0.204 0.000 0.000 0.028 0.768
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 5 0.2179 0.6787 0.112 0.000 0.000 0.000 0.888
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0609 0.9596 0.020 0.980 0.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0703 0.9683 0.024 0.976 0.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0703 0.9683 0.024 0.976 0.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 5 0.4364 0.6743 0.104 0.000 0.024 0.076 0.796
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.1845 0.7264 0.016 0.000 0.056 0.000 0.928
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.3648 0.7231 0.084 0.000 0.092 0.000 0.824
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.1026 0.8182 0.004 0.000 0.968 0.024 0.004
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 5 0.3441 0.6571 0.056 0.000 0.008 0.088 0.848
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.4306 0.5959 0.012 0.000 0.328 0.000 0.660
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.4680 0.7340 0.132 0.000 0.000 0.740 0.128
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.3720 0.6971 0.012 0.000 0.228 0.000 0.760
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.4123 0.7295 0.072 0.000 0.132 0.004 0.792
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.4063 0.6571 0.012 0.000 0.280 0.000 0.708
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0703 0.9687 0.024 0.976 0.000 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0703 0.9683 0.024 0.976 0.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 1 0.6232 0.6247 0.660 0.156 0.128 0.004 0.052
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.8028 0.1611 0.156 0.000 0.344 0.368 0.132
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0404 0.8224 0.000 0.000 0.988 0.012 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 4 0.4049 0.7124 0.084 0.000 0.000 0.792 0.124
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.3854 0.6575 0.068 0.000 0.012 0.096 0.824
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0609 0.9596 0.020 0.980 0.000 0.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.8078 0.2326 0.424 0.028 0.224 0.276 0.048
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.1617 0.7405 0.012 0.000 0.020 0.948 0.020
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 4 0.4743 0.7302 0.112 0.000 0.000 0.732 0.156
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0955 0.8189 0.004 0.000 0.968 0.000 0.028
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.4323 0.7247 0.100 0.000 0.040 0.804 0.056
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 5 0.3264 0.6456 0.164 0.000 0.000 0.016 0.820
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0609 0.9686 0.020 0.980 0.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 4 0.2588 0.7326 0.060 0.000 0.000 0.892 0.048
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 4 0.4020 0.7249 0.108 0.000 0.000 0.796 0.096
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.2920 0.7319 0.016 0.000 0.132 0.000 0.852
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.4223 0.5045 0.028 0.000 0.724 0.000 0.248
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.1544 0.9130 0.068 0.932 0.000 0.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.5061 0.2471 0.020 0.000 0.444 0.528 0.008
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.3289 0.7155 0.008 0.000 0.172 0.816 0.004
#> 317CD049-3151-40B7-8E88-B0B8813338D6 4 0.3242 0.7342 0.072 0.000 0.000 0.852 0.076
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#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.3165 0.7408 0.000 0.000 0.116 0.848 0.036
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.7480 0.1082 0.412 0.000 0.228 0.316 0.044
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 5 0.4732 0.6338 0.144 0.000 0.004 0.108 0.744
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.8436 0.0539 0.268 0.000 0.184 0.340 0.208
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.4779 0.6308 0.144 0.000 0.004 0.112 0.740
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 5 0.4996 0.7047 0.036 0.000 0.200 0.040 0.724
#> AAD9685A-564B-42E9-91E3-431951154BA7 1 0.4925 0.3097 0.532 0.448 0.004 0.004 0.012
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.6408 0.3820 0.200 0.000 0.028 0.172 0.600
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.5354 0.4873 0.052 0.000 0.012 0.628 0.308
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0703 0.9683 0.024 0.976 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 5 0.3722 0.6733 0.128 0.000 0.016 0.032 0.824
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.4742 0.6343 0.124 0.688 0.004 0.000 0.000 0.184
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.3336 0.5050 0.132 0.000 0.008 0.032 0.824 0.004
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.1926 0.8165 0.020 0.912 0.000 0.000 0.000 0.068
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.5511 0.4020 0.128 0.532 0.004 0.000 0.000 0.336
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.2466 0.6878 0.084 0.000 0.012 0.888 0.004 0.012
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0146 0.8273 0.000 0.996 0.000 0.000 0.000 0.004
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.4444 0.6721 0.044 0.000 0.076 0.760 0.120 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0632 0.8279 0.000 0.976 0.000 0.000 0.000 0.024
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.5442 0.4382 0.128 0.556 0.004 0.000 0.000 0.312
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.0993 0.5746 0.024 0.000 0.012 0.000 0.964 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.1434 0.5743 0.020 0.000 0.024 0.008 0.948 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0260 0.8274 0.000 0.992 0.000 0.000 0.000 0.008
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0260 0.8274 0.000 0.992 0.000 0.000 0.000 0.008
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.3777 0.7865 0.088 0.000 0.812 0.080 0.008 0.012
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 6 0.4816 0.6349 0.016 0.092 0.164 0.004 0.004 0.720
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.4784 0.6259 0.184 0.000 0.000 0.696 0.012 0.108
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.1078 0.5753 0.012 0.000 0.016 0.008 0.964 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0935 0.8891 0.000 0.000 0.964 0.004 0.032 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.1367 0.5719 0.044 0.000 0.012 0.000 0.944 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.4423 -0.1846 0.420 0.000 0.000 0.028 0.552 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.7573 0.4244 0.136 0.000 0.064 0.120 0.180 0.500
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 4 0.6106 0.3758 0.328 0.000 0.000 0.520 0.060 0.092
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.6834 0.2447 0.136 0.000 0.068 0.424 0.364 0.008
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.3725 0.7887 0.088 0.000 0.816 0.076 0.008 0.012
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.5290 0.5093 0.128 0.596 0.004 0.000 0.000 0.272
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0146 0.8273 0.000 0.996 0.000 0.000 0.000 0.004
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.4537 -0.1803 0.412 0.000 0.000 0.036 0.552 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.3264 0.6833 0.040 0.000 0.004 0.820 0.136 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.6032 0.3948 0.452 0.000 0.000 0.224 0.320 0.004
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.5646 0.5753 0.468 0.000 0.000 0.132 0.396 0.004
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.6228 0.4834 0.064 0.000 0.256 0.552 0.128 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.2019 0.5510 0.088 0.000 0.012 0.000 0.900 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.5706 0.5745 0.452 0.000 0.000 0.140 0.404 0.004
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.6868 0.4315 0.428 0.000 0.008 0.040 0.284 0.240
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0146 0.8273 0.000 0.996 0.000 0.000 0.000 0.004
#> E7AA12EE-6E14-4B33-A52C-B13589436023 5 0.5643 -0.3315 0.412 0.000 0.000 0.064 0.488 0.036
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 6 0.5738 0.4974 0.120 0.016 0.008 0.196 0.016 0.644
#> 655BD3AF-5094-4B19-93A8-401C70369B17 6 0.3589 0.6434 0.008 0.228 0.012 0.000 0.000 0.752
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 5 0.6844 -0.1566 0.196 0.000 0.012 0.036 0.400 0.356
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.2228 0.5696 0.044 0.000 0.024 0.016 0.912 0.004
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.1082 0.8872 0.000 0.000 0.956 0.004 0.040 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0291 0.8275 0.004 0.992 0.000 0.000 0.000 0.004
#> 619F37D2-6771-4727-9079-56BED07F1CF6 6 0.6141 0.3537 0.076 0.000 0.028 0.052 0.244 0.600
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.2704 0.8118 0.000 0.000 0.844 0.016 0.140 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 6 0.5310 -0.0688 0.088 0.428 0.004 0.000 0.000 0.480
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.1745 0.8196 0.020 0.924 0.000 0.000 0.000 0.056
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0891 0.8906 0.000 0.000 0.968 0.008 0.024 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.2973 0.5472 0.048 0.000 0.056 0.012 0.872 0.012
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.3699 0.6419 0.088 0.000 0.004 0.796 0.000 0.112
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0146 0.8273 0.000 0.996 0.000 0.000 0.000 0.004
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.6200 0.5042 0.104 0.000 0.080 0.560 0.256 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.0951 0.6854 0.020 0.000 0.004 0.968 0.000 0.008
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.2275 0.5475 0.096 0.000 0.008 0.008 0.888 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.2577 0.5593 0.044 0.000 0.036 0.012 0.896 0.012
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.2892 0.6839 0.020 0.000 0.004 0.840 0.136 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.3558 0.3125 0.248 0.000 0.000 0.016 0.736 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0508 0.8875 0.000 0.000 0.984 0.000 0.012 0.004
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 5 0.5375 -0.3787 0.436 0.000 0.000 0.084 0.472 0.008
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 5 0.4294 -0.1608 0.428 0.000 0.000 0.020 0.552 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.5511 0.4020 0.128 0.532 0.004 0.000 0.000 0.336
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0146 0.8273 0.000 0.996 0.000 0.000 0.000 0.004
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0363 0.8229 0.000 0.988 0.000 0.000 0.000 0.012
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 5 0.5135 -0.1969 0.324 0.000 0.000 0.104 0.572 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.2703 0.4645 0.172 0.000 0.000 0.004 0.824 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.3563 0.1448 0.336 0.000 0.000 0.000 0.664 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.1890 0.8749 0.000 0.000 0.916 0.024 0.060 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 5 0.5266 -0.1285 0.336 0.000 0.000 0.100 0.560 0.004
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.2577 0.5591 0.044 0.000 0.036 0.012 0.896 0.012
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.6141 0.6308 0.164 0.000 0.000 0.604 0.124 0.108
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.2658 0.5404 0.112 0.000 0.016 0.008 0.864 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.3266 0.2932 0.272 0.000 0.000 0.000 0.728 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.2407 0.5629 0.040 0.000 0.036 0.012 0.904 0.008
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.1237 0.8257 0.020 0.956 0.004 0.000 0.000 0.020
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0363 0.8263 0.000 0.988 0.000 0.000 0.000 0.012
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 6 0.5423 0.5960 0.076 0.008 0.048 0.020 0.136 0.712
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.2066 0.8133 0.024 0.904 0.000 0.000 0.000 0.072
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.7638 0.3367 0.168 0.000 0.160 0.412 0.244 0.016
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0508 0.8875 0.000 0.000 0.984 0.000 0.012 0.004
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 4 0.4437 0.6207 0.148 0.000 0.000 0.732 0.008 0.112
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.4993 0.0310 0.316 0.000 0.000 0.080 0.600 0.004
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.5478 0.4135 0.128 0.544 0.004 0.000 0.000 0.324
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.8161 0.2225 0.172 0.000 0.152 0.388 0.060 0.228
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.1405 0.6848 0.024 0.000 0.004 0.948 0.000 0.024
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 4 0.6221 0.6171 0.192 0.000 0.000 0.588 0.112 0.108
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.3073 0.7703 0.004 0.000 0.816 0.000 0.164 0.016
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.3816 0.6895 0.056 0.000 0.008 0.808 0.112 0.016
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 5 0.4704 -0.3692 0.468 0.000 0.000 0.044 0.488 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.1719 0.8195 0.016 0.924 0.000 0.000 0.000 0.060
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0146 0.8273 0.000 0.996 0.000 0.000 0.000 0.004
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 4 0.3607 0.6399 0.092 0.000 0.000 0.796 0.000 0.112
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 4 0.4361 0.6228 0.168 0.000 0.000 0.720 0.000 0.112
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.2346 0.5258 0.124 0.000 0.008 0.000 0.868 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 5 0.5379 0.0827 0.032 0.000 0.432 0.020 0.500 0.016
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 6 0.5231 0.1053 0.084 0.392 0.004 0.000 0.000 0.520
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.5772 0.5898 0.064 0.000 0.208 0.632 0.092 0.004
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.4090 0.6815 0.040 0.000 0.108 0.788 0.064 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 4 0.3558 0.6612 0.088 0.000 0.000 0.800 0.000 0.112
#> 93835C77-F8FA-4928-843C-8016A91881FA 4 0.6221 0.6171 0.192 0.000 0.000 0.588 0.112 0.108
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 5 0.4341 -0.1390 0.412 0.000 0.000 0.024 0.564 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 5 0.4366 -0.1764 0.428 0.000 0.000 0.024 0.548 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.1787 0.5515 0.068 0.000 0.004 0.008 0.920 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0260 0.8274 0.000 0.992 0.000 0.000 0.000 0.008
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0547 0.8910 0.000 0.000 0.980 0.000 0.020 0.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 4 0.1232 0.6851 0.024 0.000 0.004 0.956 0.000 0.016
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.1010 0.8194 0.004 0.960 0.000 0.000 0.000 0.036
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.1010 0.8869 0.000 0.000 0.960 0.000 0.036 0.004
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0508 0.8875 0.000 0.000 0.984 0.000 0.012 0.004
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 4 0.6105 0.6301 0.164 0.000 0.000 0.608 0.120 0.108
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0547 0.8898 0.000 0.000 0.980 0.000 0.020 0.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 5 0.4666 -0.2483 0.420 0.000 0.000 0.044 0.536 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0632 0.8205 0.000 0.976 0.000 0.000 0.000 0.024
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 5 0.3863 0.2773 0.260 0.000 0.000 0.028 0.712 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.4743 0.6660 0.056 0.000 0.100 0.740 0.104 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 4 0.1434 0.6854 0.020 0.000 0.008 0.948 0.000 0.024
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0777 0.8904 0.004 0.000 0.972 0.000 0.024 0.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 4 0.7127 0.3532 0.076 0.000 0.172 0.432 0.308 0.012
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.3671 0.7908 0.088 0.000 0.820 0.072 0.008 0.012
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.1434 0.8834 0.000 0.000 0.940 0.012 0.048 0.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 5 0.1092 0.5748 0.020 0.000 0.020 0.000 0.960 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.5017 0.2747 0.016 0.000 0.552 0.044 0.388 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 5 0.1899 0.5741 0.028 0.000 0.032 0.004 0.928 0.008
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 4 0.4961 0.6776 0.100 0.000 0.004 0.720 0.136 0.040
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 5 0.1262 0.5746 0.020 0.000 0.016 0.008 0.956 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.1829 0.8181 0.024 0.920 0.000 0.000 0.000 0.056
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0632 0.8905 0.000 0.000 0.976 0.000 0.024 0.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 4 0.1901 0.6868 0.076 0.000 0.008 0.912 0.000 0.004
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 4 0.5509 0.6367 0.180 0.000 0.000 0.656 0.056 0.108
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0547 0.8228 0.000 0.980 0.000 0.000 0.000 0.020
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 6 0.4966 0.5626 0.020 0.004 0.056 0.036 0.148 0.736
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.1719 0.8190 0.016 0.924 0.000 0.000 0.000 0.060
#> 0F1A5708-341E-4713-BC70-76D702F826D6 6 0.7471 0.0787 0.056 0.008 0.360 0.040 0.140 0.396
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#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.5442 0.4382 0.128 0.556 0.004 0.000 0.000 0.312
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#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 5 0.1649 0.5720 0.040 0.000 0.016 0.008 0.936 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0146 0.8273 0.000 0.996 0.000 0.000 0.000 0.004
#> 4780A59C-0589-4995-B044-3201F09AF859 5 0.4515 0.4081 0.044 0.000 0.212 0.012 0.720 0.012
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0146 0.8273 0.000 0.996 0.000 0.000 0.000 0.004
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.1897 0.8582 0.004 0.000 0.908 0.004 0.084 0.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0547 0.8908 0.000 0.000 0.980 0.000 0.020 0.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 5 0.4525 0.4291 0.036 0.000 0.188 0.048 0.728 0.000
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#> 7EAE9C30-6080-405F-A7E6-1FED57674279 5 0.6525 0.0118 0.180 0.000 0.020 0.308 0.476 0.016
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 4 0.6088 0.6308 0.172 0.000 0.000 0.608 0.112 0.108
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0363 0.8880 0.000 0.000 0.988 0.000 0.012 0.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.3564 0.6730 0.124 0.000 0.028 0.820 0.020 0.008
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0363 0.8263 0.000 0.988 0.000 0.000 0.000 0.012
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.1657 0.8199 0.016 0.928 0.000 0.000 0.000 0.056
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 5 0.5568 -0.4271 0.380 0.000 0.004 0.124 0.492 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.3671 0.7908 0.088 0.000 0.820 0.072 0.008 0.012
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 5 0.3360 0.3071 0.264 0.000 0.004 0.000 0.732 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 5 0.3002 0.5107 0.136 0.000 0.008 0.020 0.836 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 5 0.1176 0.5747 0.024 0.000 0.020 0.000 0.956 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.2357 0.8367 0.000 0.000 0.872 0.012 0.116 0.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.5517 0.3257 0.120 0.508 0.004 0.000 0.000 0.368
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.5509 0.3358 0.120 0.512 0.004 0.000 0.000 0.364
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.1500 0.8820 0.000 0.000 0.936 0.012 0.052 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.3993 0.6548 0.040 0.000 0.156 0.776 0.028 0.000
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#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 5 0.2302 0.5272 0.120 0.000 0.008 0.000 0.872 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 6 0.5162 0.6748 0.116 0.108 0.008 0.044 0.004 0.720
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 5 0.4553 0.1181 0.304 0.000 0.000 0.036 0.648 0.012
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 6 0.4044 0.5379 0.012 0.312 0.008 0.000 0.000 0.668
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.2009 0.8142 0.024 0.908 0.000 0.000 0.000 0.068
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#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.3134 0.7003 0.068 0.000 0.004 0.860 0.044 0.024
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 4 0.6766 0.3902 0.176 0.000 0.056 0.484 0.276 0.008
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.3561 0.7894 0.088 0.000 0.824 0.072 0.004 0.012
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.3931 0.6866 0.092 0.000 0.004 0.784 0.116 0.004
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.4456 0.6782 0.044 0.000 0.108 0.768 0.076 0.004
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0146 0.8273 0.000 0.996 0.000 0.000 0.000 0.004
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.5364 0.3774 0.104 0.532 0.004 0.000 0.000 0.360
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.1767 0.5724 0.036 0.000 0.020 0.012 0.932 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.5735 0.6557 0.128 0.000 0.000 0.652 0.112 0.108
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.3203 0.7817 0.004 0.000 0.812 0.024 0.160 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 4 0.5138 0.5746 0.232 0.000 0.000 0.644 0.012 0.112
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0363 0.8880 0.000 0.000 0.988 0.000 0.012 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.5044 0.5801 0.128 0.644 0.004 0.000 0.000 0.224
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0291 0.8275 0.004 0.992 0.000 0.000 0.000 0.004
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.2815 0.6973 0.056 0.000 0.024 0.876 0.044 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.2320 0.8218 0.000 0.000 0.864 0.004 0.132 0.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0363 0.8880 0.000 0.000 0.988 0.000 0.012 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.1932 0.5709 0.040 0.000 0.020 0.016 0.924 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.4075 0.4567 0.044 0.000 0.156 0.012 0.776 0.012
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0146 0.8273 0.000 0.996 0.000 0.000 0.000 0.004
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.5322 0.5251 0.472 0.000 0.000 0.104 0.424 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0547 0.8898 0.000 0.000 0.980 0.000 0.020 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.2009 0.8149 0.024 0.908 0.000 0.000 0.000 0.068
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 4 0.4291 0.5941 0.148 0.000 0.004 0.764 0.060 0.024
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.5442 0.4382 0.128 0.556 0.004 0.000 0.000 0.312
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 5 0.4592 -0.3414 0.468 0.000 0.000 0.036 0.496 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0458 0.8232 0.000 0.984 0.000 0.000 0.000 0.016
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.6113 0.3033 0.116 0.000 0.500 0.352 0.020 0.012
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.3962 0.7110 0.120 0.764 0.000 0.000 0.000 0.116
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0146 0.8273 0.000 0.996 0.000 0.000 0.000 0.004
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.1779 0.8188 0.016 0.920 0.000 0.000 0.000 0.064
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 4 0.4001 0.6294 0.128 0.000 0.000 0.760 0.000 0.112
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.1364 0.5755 0.020 0.000 0.016 0.012 0.952 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.7333 0.4800 0.184 0.000 0.024 0.496 0.140 0.156
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.3951 0.4877 0.048 0.000 0.136 0.012 0.792 0.012
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 6 0.3518 0.6187 0.000 0.256 0.012 0.000 0.000 0.732
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.2517 0.6950 0.008 0.000 0.016 0.876 0.100 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.3680 0.5030 0.044 0.000 0.116 0.012 0.816 0.012
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.2924 0.8222 0.040 0.000 0.864 0.084 0.008 0.004
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.3323 0.6644 0.128 0.000 0.036 0.824 0.000 0.012
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 5 0.4593 -0.3499 0.472 0.000 0.000 0.036 0.492 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.5934 0.4826 0.296 0.000 0.000 0.536 0.144 0.024
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.6891 0.4195 0.412 0.000 0.004 0.052 0.320 0.212
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.1983 0.5675 0.060 0.000 0.012 0.012 0.916 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 4 0.4653 0.6096 0.188 0.000 0.000 0.696 0.004 0.112
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.1867 0.8187 0.020 0.916 0.000 0.000 0.000 0.064
#> E344638F-9060-460F-8F7A-60D19442F294 5 0.6596 0.1527 0.040 0.000 0.368 0.040 0.472 0.080
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.4239 0.6304 0.000 0.072 0.152 0.012 0.004 0.760
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.1500 0.8820 0.000 0.000 0.936 0.012 0.052 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0146 0.8273 0.000 0.996 0.000 0.000 0.000 0.004
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 4 0.4464 0.5891 0.228 0.000 0.000 0.708 0.024 0.040
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.5401 0.4700 0.128 0.568 0.004 0.000 0.000 0.300
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.2433 0.8607 0.012 0.000 0.900 0.016 0.060 0.012
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 6 0.4634 0.5863 0.124 0.188 0.000 0.000 0.000 0.688
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.3364 0.6927 0.008 0.000 0.068 0.828 0.096 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 6 0.6126 0.5451 0.144 0.024 0.012 0.024 0.164 0.632
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 4 0.6450 -0.2898 0.348 0.000 0.000 0.408 0.220 0.024
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.5709 0.5697 0.448 0.000 0.000 0.140 0.408 0.004
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 4 0.6123 -0.0597 0.344 0.000 0.004 0.412 0.240 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.5449 0.5179 0.456 0.000 0.000 0.120 0.424 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.2145 0.5682 0.044 0.000 0.020 0.016 0.916 0.004
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.3512 0.5470 0.064 0.000 0.036 0.044 0.844 0.012
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.4860 0.5950 0.128 0.656 0.000 0.000 0.000 0.216
#> 019B857C-D4F7-4B67-B699-56E52A60805B 6 0.4858 0.5069 0.120 0.228 0.000 0.000 0.000 0.652
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.3565 0.6861 0.048 0.000 0.008 0.812 0.128 0.004
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.2225 0.5476 0.092 0.000 0.008 0.008 0.892 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0146 0.8273 0.000 0.996 0.000 0.000 0.000 0.004
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.1719 0.8202 0.016 0.924 0.000 0.000 0.000 0.060
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0260 0.8274 0.000 0.992 0.000 0.000 0.000 0.008
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.3128 0.6950 0.008 0.000 0.052 0.844 0.096 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.7803 0.4117 0.172 0.000 0.144 0.472 0.068 0.144
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.1890 0.8164 0.024 0.916 0.000 0.000 0.000 0.060
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.1657 0.8199 0.016 0.928 0.000 0.000 0.000 0.056
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.5755 0.5692 0.448 0.000 0.000 0.148 0.400 0.004
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.7654 0.3044 0.208 0.000 0.052 0.416 0.260 0.064
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.5710 0.5659 0.444 0.000 0.000 0.140 0.412 0.004
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 5 0.2613 0.5589 0.068 0.000 0.016 0.032 0.884 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 6 0.4434 0.6151 0.048 0.260 0.008 0.000 0.000 0.684
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.5551 0.3087 0.084 0.000 0.028 0.192 0.668 0.028
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4964 0.3991 0.308 0.000 0.004 0.608 0.080 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0260 0.8274 0.000 0.992 0.000 0.000 0.000 0.008
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 5 0.4829 -0.2390 0.404 0.000 0.004 0.048 0.544 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 17377 rows and 265 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 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 0.968 0.963 0.984 0.4803 0.521 0.521
#> 3 3 0.927 0.921 0.967 0.3841 0.722 0.509
#> 4 4 0.856 0.844 0.927 0.1229 0.877 0.655
#> 5 5 0.809 0.793 0.888 0.0517 0.876 0.579
#> 6 6 0.818 0.747 0.868 0.0241 0.941 0.753
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.984 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.984 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.984 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.984 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.984 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.984 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.984 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.984 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.984 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.984 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.984 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.984 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.984 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.6438 0.804 0.836 0.164
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.984 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.984 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.984 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 2 0.8081 0.674 0.248 0.752
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.984 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.984 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.8267 0.649 0.260 0.740
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.984 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.984 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.6048 0.825 0.852 0.148
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.984 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.984 0.000 1.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.984 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.984 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.984 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.984 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.0000 0.984 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.984 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.984 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.984 1.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.984 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.984 1.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 0.984 0.000 1.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.984 0.000 1.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.0938 0.973 0.988 0.012
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.984 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.6148 0.821 0.152 0.848
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.984 0.000 1.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.2948 0.935 0.052 0.948
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.6531 0.797 0.832 0.168
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.984 0.000 1.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.984 0.000 1.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.0376 0.980 0.004 0.996
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.0000 0.984 1.000 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.984 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.984 0.000 1.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.984 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.984 1.000 0.000
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#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.0000 0.984 1.000 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.984 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.984 1.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 2 0.0000 0.984 0.000 1.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.984 1.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.984 1.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.984 0.000 1.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.984 0.000 1.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.984 0.000 1.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.984 1.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.984 1.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.984 1.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.0000 0.984 1.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.984 1.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.0000 0.984 1.000 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.984 1.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0000 0.984 1.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.984 1.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.0000 0.984 1.000 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.984 0.000 1.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.984 0.000 1.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.984 0.000 1.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.984 0.000 1.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.0000 0.984 1.000 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 2 0.0000 0.984 0.000 1.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.984 1.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.984 1.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.984 0.000 1.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 2 0.4815 0.880 0.104 0.896
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.984 1.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.984 1.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 2 0.0000 0.984 0.000 1.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.0000 0.984 1.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.984 1.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.984 0.000 1.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.984 0.000 1.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.984 1.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.984 1.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.984 1.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.1184 0.970 0.984 0.016
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.984 0.000 1.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.0000 0.984 1.000 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.0000 0.984 1.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.984 1.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.984 1.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.984 1.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0000 0.984 1.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.984 1.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.984 0.000 1.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 2 0.6048 0.826 0.148 0.852
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.984 1.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.984 0.000 1.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 2 0.0000 0.984 0.000 1.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 2 0.0000 0.984 0.000 1.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0000 0.984 1.000 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 2 0.0000 0.984 0.000 1.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.984 1.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.984 0.000 1.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0000 0.984 1.000 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.0000 0.984 1.000 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.984 1.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 2 0.0000 0.984 0.000 1.000
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#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0000 0.984 1.000 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 1 0.0000 0.984 1.000 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0000 0.984 1.000 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.984 1.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.984 1.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.984 0.000 1.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 1 0.9866 0.238 0.568 0.432
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.0000 0.984 1.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.984 1.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.984 0.000 1.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.0000 0.984 0.000 1.000
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.984 0.000 1.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 2 0.0000 0.984 0.000 1.000
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.984 0.000 1.000
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#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.984 0.000 1.000
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#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.984 1.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.984 0.000 1.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.0000 0.984 1.000 0.000
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.984 0.000 1.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 2 0.5178 0.866 0.116 0.884
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 2 0.0938 0.973 0.012 0.988
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.0000 0.984 1.000 0.000
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.984 0.000 1.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.0000 0.984 1.000 0.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.0000 0.984 1.000 0.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.0000 0.984 1.000 0.000
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.984 1.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.0000 0.984 1.000 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.984 1.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0000 0.984 1.000 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.5408 0.856 0.876 0.124
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.984 1.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.4815 0.878 0.896 0.104
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.0000 0.984 1.000 0.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.0000 0.984 1.000 0.000
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.1843 0.958 0.972 0.028
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.0000 0.984 1.000 0.000
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0000 0.984 1.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 2 0.0000 0.984 0.000 1.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.0000 0.984 1.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.984 0.000 1.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.984 0.000 1.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.984 1.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 2 0.0000 0.984 0.000 1.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.984 1.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.984 1.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.984 1.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 1 0.6531 0.797 0.832 0.168
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.984 0.000 1.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.984 0.000 1.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.0000 0.984 1.000 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.0000 0.984 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.984 0.000 1.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.984 1.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.984 1.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.984 0.000 1.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.984 1.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0000 0.984 0.000 1.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.984 1.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.984 0.000 1.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.984 0.000 1.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.0000 0.984 1.000 0.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.984 0.000 1.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0000 0.984 1.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.0000 0.984 1.000 0.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 2 0.3879 0.910 0.076 0.924
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.984 1.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.0000 0.984 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.984 0.000 1.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.984 0.000 1.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.0000 0.984 1.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.984 1.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.0000 0.984 1.000 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.984 1.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 2 0.0000 0.984 0.000 1.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.984 0.000 1.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.984 0.000 1.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.984 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 1 0.9896 0.213 0.560 0.440
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 2 0.0000 0.984 0.000 1.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0000 0.984 1.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.0000 0.984 1.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.984 0.000 1.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.984 1.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.0000 0.984 0.000 1.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.984 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.984 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.984 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.984 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.984 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.0000 0.984 1.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.984 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.984 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.984 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.984 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.984 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0000 0.984 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.0000 0.984 1.000 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.984 0.000 1.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.984 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.0000 0.984 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 2 0.0000 0.984 0.000 1.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0000 0.984 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.984 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.984 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.984 1.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.984 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.984 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.984 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.9129 0.516 0.672 0.328
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.984 0.000 1.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0000 0.984 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.984 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.984 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.984 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.6973 0.770 0.812 0.188
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.984 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.984 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.6801 0.782 0.820 0.180
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.984 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.984 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.984 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.984 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.984 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.984 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.984 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.984 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.984 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.984 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.984 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.984 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.984 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.984 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 2 0.9977 0.102 0.472 0.528
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.984 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.984 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.984 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.1414 0.966 0.980 0.020
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.984 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.984 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.984 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.984 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.984 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.984 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.984 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9903 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.2711 0.8847 0.912 0.000 0.088
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9903 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9903 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.5948 0.4191 0.640 0.000 0.360
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9903 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.0000 0.9408 0.000 0.000 1.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9903 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9903 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.9640 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.6192 0.3121 0.420 0.000 0.580
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9903 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9903 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0000 0.9408 0.000 0.000 1.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0424 0.9824 0.000 0.992 0.008
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.9640 1.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.4887 0.7020 0.772 0.000 0.228
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.9408 0.000 0.000 1.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.9640 1.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.9640 1.000 0.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.4887 0.7083 0.228 0.772 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.9640 1.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 3 0.6267 0.2112 0.452 0.000 0.548
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0000 0.9408 0.000 0.000 1.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9903 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9903 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.9640 1.000 0.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0592 0.9548 0.988 0.000 0.012
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.9640 1.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.9640 1.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.0000 0.9408 0.000 0.000 1.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.9640 1.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.9640 1.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.9640 1.000 0.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9903 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.9640 1.000 0.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 0.9903 0.000 1.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9903 0.000 1.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.1753 0.9183 0.952 0.048 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 3 0.5785 0.5186 0.332 0.000 0.668
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9408 0.000 0.000 1.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9903 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.0237 0.9862 0.004 0.996 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0000 0.9408 0.000 0.000 1.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.9903 0.000 1.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9903 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.9408 0.000 0.000 1.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.0000 0.9408 0.000 0.000 1.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.9640 1.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9903 0.000 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 3 0.1529 0.9127 0.040 0.000 0.960
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.9640 1.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.9640 1.000 0.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.0000 0.9408 0.000 0.000 1.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.5363 0.6174 0.724 0.000 0.276
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.9640 1.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9408 0.000 0.000 1.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.9640 1.000 0.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.9640 1.000 0.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.9903 0.000 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9903 0.000 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9903 0.000 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.9640 1.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.9640 1.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.9640 1.000 0.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.0000 0.9408 0.000 0.000 1.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.9640 1.000 0.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.0000 0.9408 0.000 0.000 1.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.9640 1.000 0.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.4178 0.7855 0.828 0.000 0.172
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.9640 1.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 3 0.0000 0.9408 0.000 0.000 1.000
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#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9903 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.6140 0.3035 0.596 0.000 0.404
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.2625 0.8769 0.084 0.000 0.916
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9903 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9903 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9640 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.4504 0.7553 0.196 0.000 0.804
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9640 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.9640 1.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9903 0.000 1.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.5650 0.5427 0.688 0.000 0.312
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.9640 1.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9903 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9640 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.1716 0.8378 0.936 0.000 0.064 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0000 0.8767 0.000 0.000 0.000 1.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0592 0.8774 0.000 0.000 0.016 0.984
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.1211 0.8555 0.960 0.000 0.040 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.3873 0.7443 0.228 0.000 0.772 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.2921 0.8207 0.000 0.860 0.140 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.2760 0.7831 0.128 0.000 0.000 0.872
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.4994 -0.0333 0.520 0.000 0.480 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.1118 0.8583 0.964 0.000 0.036 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0188 0.8739 0.996 0.000 0.004 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.4929 0.6485 0.236 0.736 0.020 0.008
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.2149 0.8371 0.912 0.000 0.000 0.088
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.4565 0.7581 0.140 0.000 0.064 0.796
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0469 0.9264 0.000 0.000 0.988 0.012
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.8743 1.000 0.000 0.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0188 0.8754 0.004 0.000 0.000 0.996
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.1022 0.8678 0.968 0.000 0.000 0.032
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0336 0.8741 0.992 0.000 0.000 0.008
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.2530 0.8318 0.000 0.000 0.112 0.888
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0707 0.8677 0.980 0.000 0.020 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0469 0.8737 0.988 0.000 0.000 0.012
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0707 0.8716 0.980 0.000 0.000 0.020
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.1978 0.8489 0.928 0.000 0.004 0.068
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0336 0.9690 0.000 0.992 0.000 0.008
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.4647 0.5236 0.704 0.008 0.288 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 3 0.1867 0.9009 0.072 0.000 0.928 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0336 0.9279 0.000 0.000 0.992 0.008
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.7385 0.2792 0.340 0.176 0.484 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0817 0.9212 0.000 0.000 0.976 0.024
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.5273 0.1495 0.000 0.536 0.008 0.456
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.1389 0.9047 0.000 0.000 0.952 0.048
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.1792 0.9044 0.068 0.000 0.932 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.4967 0.0905 0.452 0.000 0.000 0.548
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0817 0.8763 0.000 0.000 0.024 0.976
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.4916 0.1867 0.424 0.000 0.000 0.576
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0469 0.8713 0.988 0.000 0.012 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.1867 0.9023 0.072 0.000 0.928 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0188 0.8775 0.000 0.000 0.004 0.996
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0188 0.8739 0.996 0.000 0.004 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0592 0.8727 0.984 0.000 0.000 0.016
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0188 0.8746 0.996 0.000 0.000 0.004
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0188 0.8739 0.996 0.000 0.004 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0188 0.8739 0.996 0.000 0.004 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0188 0.8739 0.996 0.000 0.004 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.0707 0.9231 0.000 0.000 0.980 0.020
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.2149 0.8364 0.912 0.000 0.000 0.088
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.1867 0.9033 0.072 0.000 0.928 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.1792 0.8414 0.068 0.000 0.000 0.932
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.5853 0.0429 0.508 0.000 0.460 0.032
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0188 0.8739 0.996 0.000 0.004 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 3 0.2149 0.8920 0.088 0.000 0.912 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.3444 0.7649 0.000 0.000 0.184 0.816
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.2408 0.8272 0.896 0.000 0.000 0.104
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0336 0.8745 0.992 0.000 0.000 0.008
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.1637 0.8640 0.000 0.000 0.060 0.940
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 4 0.0817 0.8674 0.024 0.000 0.000 0.976
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.4866 0.3776 0.596 0.000 0.000 0.404
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0000 0.9284 0.000 0.000 1.000 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.0188 0.8775 0.000 0.000 0.004 0.996
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0469 0.8737 0.988 0.000 0.000 0.012
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.4624 0.5221 0.660 0.000 0.000 0.340
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.4948 0.2718 0.560 0.000 0.000 0.440
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0469 0.8713 0.988 0.000 0.012 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.1867 0.9023 0.072 0.000 0.928 0.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0188 0.9728 0.000 0.996 0.000 0.004
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.3024 0.8017 0.000 0.000 0.148 0.852
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.0592 0.8773 0.000 0.000 0.016 0.984
#> 317CD049-3151-40B7-8E88-B0B8813338D6 4 0.3311 0.7356 0.172 0.000 0.000 0.828
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.4972 0.2305 0.544 0.000 0.000 0.456
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.8743 1.000 0.000 0.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0188 0.8746 0.996 0.000 0.000 0.004
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.1022 0.8610 0.968 0.000 0.032 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0469 0.9264 0.000 0.000 0.988 0.012
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 4 0.4697 0.3869 0.356 0.000 0.000 0.644
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0000 0.9284 0.000 0.000 1.000 0.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 4 0.2921 0.7801 0.140 0.000 0.000 0.860
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0188 0.8747 0.996 0.000 0.000 0.004
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.1824 0.8526 0.936 0.000 0.004 0.060
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.1474 0.8672 0.000 0.000 0.052 0.948
#> 51B7241E-F0BE-482A-88AE-89004BB68989 4 0.0336 0.8743 0.008 0.000 0.000 0.992
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0469 0.9264 0.000 0.000 0.988 0.012
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 4 0.4920 0.7014 0.052 0.000 0.192 0.756
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0469 0.9264 0.000 0.000 0.988 0.012
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.0188 0.9277 0.004 0.000 0.996 0.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.4977 0.0452 0.540 0.000 0.460 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.4907 0.1867 0.580 0.000 0.420 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 4 0.4277 0.5566 0.280 0.000 0.000 0.720
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.2868 0.7710 0.864 0.000 0.136 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 4 0.0000 0.8767 0.000 0.000 0.000 1.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 4 0.3907 0.6468 0.232 0.000 0.000 0.768
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.5398 0.2668 0.016 0.580 0.404 0.000
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.0000 0.9284 0.000 0.000 1.000 0.000
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.2216 0.8348 0.908 0.000 0.000 0.092
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.3400 0.7180 0.820 0.000 0.180 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 3 0.1792 0.9044 0.068 0.000 0.932 0.000
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.0336 0.9276 0.008 0.000 0.992 0.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0469 0.9264 0.000 0.000 0.988 0.012
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 3 0.5723 0.6137 0.072 0.000 0.684 0.244
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 4 0.0592 0.8773 0.000 0.000 0.016 0.984
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 4 0.2973 0.8064 0.000 0.000 0.144 0.856
#> 0E22B729-C381-4B0C-9897-62DD38F51722 3 0.6781 0.5423 0.212 0.000 0.608 0.180
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.3528 0.7411 0.808 0.000 0.000 0.192
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 3 0.6248 0.5638 0.120 0.000 0.656 0.224
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0188 0.8739 0.996 0.000 0.004 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0592 0.8727 0.984 0.000 0.000 0.016
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 4 0.2589 0.8288 0.000 0.000 0.116 0.884
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0707 0.8717 0.980 0.000 0.000 0.020
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 3 0.1978 0.9040 0.068 0.000 0.928 0.004
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 4 0.0469 0.8778 0.000 0.000 0.012 0.988
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 3 0.0336 0.9267 0.008 0.000 0.992 0.000
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 4 0.5757 0.6016 0.076 0.000 0.240 0.684
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 4 0.5296 0.1038 0.492 0.000 0.008 0.500
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 4 0.1022 0.8634 0.032 0.000 0.000 0.968
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.1716 0.8616 0.000 0.000 0.064 0.936
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0188 0.8739 0.996 0.000 0.004 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0469 0.9264 0.000 0.000 0.988 0.012
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0188 0.8739 0.996 0.000 0.004 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.4163 0.7432 0.792 0.000 0.020 0.188
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 3 0.4193 0.6833 0.268 0.000 0.732 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.2081 0.8500 0.000 0.000 0.084 0.916
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.0188 0.8754 0.004 0.000 0.000 0.996
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.3074 0.7875 0.848 0.000 0.000 0.152
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0707 0.8677 0.980 0.000 0.020 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.1557 0.9205 0.000 0.944 0.000 0.056
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0188 0.8739 0.996 0.000 0.004 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 3 0.0592 0.9251 0.016 0.000 0.984 0.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.0336 0.8777 0.000 0.000 0.008 0.992
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 4 0.4225 0.7394 0.024 0.000 0.184 0.792
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.0336 0.9279 0.000 0.000 0.992 0.008
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.0188 0.8754 0.004 0.000 0.000 0.996
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.0592 0.8774 0.000 0.000 0.016 0.984
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 3 0.3688 0.7704 0.208 0.000 0.792 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.0188 0.8754 0.004 0.000 0.000 0.996
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.0817 0.9209 0.000 0.000 0.976 0.024
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.2530 0.8218 0.888 0.000 0.000 0.112
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0336 0.8777 0.000 0.000 0.008 0.992
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0336 0.9279 0.000 0.000 0.992 0.008
#> CED15676-B901-4FC8-9C8D-51E529D9441D 3 0.1940 0.9001 0.076 0.000 0.924 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.2081 0.8948 0.084 0.000 0.916 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0469 0.8737 0.988 0.000 0.000 0.012
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0469 0.9271 0.000 0.000 0.988 0.012
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.3649 0.7316 0.796 0.000 0.000 0.204
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0188 0.8747 0.996 0.000 0.000 0.004
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.1557 0.8959 0.000 0.000 0.944 0.056
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.4855 0.3869 0.600 0.000 0.000 0.400
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 3 0.4193 0.6829 0.268 0.000 0.732 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0188 0.8775 0.000 0.000 0.004 0.996
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.1716 0.9064 0.064 0.000 0.936 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0000 0.8767 0.000 0.000 0.000 1.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.1792 0.9044 0.068 0.000 0.932 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.2149 0.8649 0.000 0.000 0.912 0.088
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.1867 0.8569 0.000 0.000 0.072 0.928
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0336 0.8741 0.992 0.000 0.000 0.008
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.4040 0.6780 0.752 0.000 0.000 0.248
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.1637 0.8514 0.940 0.000 0.000 0.060
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0707 0.8684 0.980 0.000 0.020 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.4406 0.5979 0.700 0.000 0.000 0.300
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0592 0.9251 0.016 0.000 0.984 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0469 0.9652 0.000 0.988 0.012 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.0524 0.9274 0.004 0.000 0.988 0.008
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.3873 0.7032 0.772 0.000 0.000 0.228
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0188 0.9288 0.000 0.000 0.996 0.004
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0336 0.8777 0.000 0.000 0.008 0.992
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.4790 0.3707 0.380 0.620 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.1792 0.8486 0.932 0.000 0.000 0.068
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0188 0.8745 0.996 0.000 0.000 0.004
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.3975 0.6893 0.760 0.000 0.000 0.240
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0469 0.8737 0.988 0.000 0.000 0.012
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 3 0.2281 0.8860 0.096 0.000 0.904 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 3 0.2909 0.8584 0.020 0.000 0.888 0.092
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0000 0.8767 0.000 0.000 0.000 1.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0188 0.8739 0.996 0.000 0.004 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0188 0.8775 0.000 0.000 0.004 0.996
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0592 0.8777 0.000 0.000 0.016 0.984
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0188 0.8745 0.996 0.000 0.000 0.004
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.4840 0.7519 0.100 0.000 0.116 0.784
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.8743 1.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0592 0.8700 0.984 0.000 0.016 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 4 0.5793 0.4415 0.360 0.000 0.040 0.600
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.4277 0.6309 0.720 0.000 0.000 0.280
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9763 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.8743 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0451 0.9703 0.004 0.988 0.000 0.000 0.008
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.1965 0.8226 0.096 0.000 0.000 0.000 0.904
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0324 0.9723 0.004 0.992 0.000 0.000 0.004
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.1251 0.8709 0.036 0.000 0.008 0.956 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0579 0.8798 0.008 0.000 0.000 0.984 0.008
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0566 0.9677 0.004 0.984 0.000 0.000 0.012
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.2329 0.8136 0.124 0.000 0.000 0.000 0.876
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.1818 0.8168 0.044 0.000 0.024 0.000 0.932
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.0324 0.8532 0.004 0.000 0.992 0.004 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1179 0.9480 0.004 0.964 0.016 0.000 0.016
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.4430 0.2323 0.540 0.000 0.004 0.456 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.1864 0.8222 0.068 0.000 0.004 0.004 0.924
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 5 0.4693 0.5469 0.000 0.000 0.244 0.056 0.700
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.2424 0.8096 0.132 0.000 0.000 0.000 0.868
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.3274 0.7405 0.220 0.000 0.000 0.000 0.780
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 3 0.3599 0.6879 0.024 0.148 0.820 0.004 0.004
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0579 0.8300 0.984 0.000 0.000 0.008 0.008
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.4397 0.2731 0.004 0.000 0.000 0.564 0.432
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.0451 0.8505 0.004 0.000 0.988 0.008 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0162 0.9735 0.004 0.996 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.3395 0.7203 0.236 0.000 0.000 0.000 0.764
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.2852 0.7570 0.172 0.000 0.000 0.828 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.1043 0.8254 0.960 0.000 0.000 0.000 0.040
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0880 0.8269 0.968 0.000 0.000 0.000 0.032
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0880 0.8735 0.000 0.000 0.000 0.968 0.032
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.2280 0.8153 0.120 0.000 0.000 0.000 0.880
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0510 0.8288 0.984 0.000 0.000 0.000 0.016
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.1270 0.8186 0.948 0.000 0.000 0.000 0.052
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.2193 0.7944 0.900 0.000 0.000 0.008 0.092
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.6391 0.4800 0.148 0.604 0.224 0.012 0.012
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.5521 0.4160 0.636 0.008 0.084 0.000 0.272
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.2570 0.7777 0.008 0.000 0.108 0.004 0.880
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.1197 0.8648 0.000 0.000 0.952 0.000 0.048
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.7878 -0.1768 0.104 0.396 0.332 0.000 0.168
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#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 5 0.4846 0.2317 0.000 0.000 0.384 0.028 0.588
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.1956 0.8553 0.000 0.000 0.916 0.008 0.076
#> CED15676-B901-4FC8-9C8D-51E529D9441D 5 0.2068 0.7855 0.004 0.000 0.092 0.000 0.904
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.1671 0.7929 0.000 0.000 0.076 0.000 0.924
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0880 0.8266 0.968 0.000 0.000 0.000 0.032
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.5556 0.5808 0.000 0.000 0.616 0.108 0.276
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.2830 0.7817 0.876 0.000 0.044 0.080 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0324 0.9723 0.004 0.992 0.000 0.000 0.004
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0703 0.8276 0.976 0.000 0.000 0.000 0.024
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.0451 0.8505 0.004 0.000 0.988 0.008 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0162 0.9739 0.004 0.996 0.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.2915 0.7684 0.860 0.000 0.024 0.116 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.1740 0.8200 0.056 0.000 0.012 0.000 0.932
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0865 0.8765 0.024 0.000 0.004 0.972 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.2773 0.7292 0.000 0.000 0.164 0.000 0.836
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.1043 0.8723 0.040 0.000 0.000 0.960 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 5 0.1851 0.7853 0.000 0.000 0.088 0.000 0.912
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0162 0.8597 0.000 0.000 0.996 0.000 0.004
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.2505 0.8401 0.020 0.000 0.092 0.888 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0963 0.8256 0.964 0.000 0.000 0.000 0.036
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.1809 0.8162 0.928 0.000 0.000 0.060 0.012
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0771 0.8285 0.976 0.004 0.000 0.000 0.020
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.3561 0.6893 0.260 0.000 0.000 0.000 0.740
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.1831 0.8081 0.920 0.000 0.000 0.076 0.004
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.4307 0.1268 0.000 0.000 0.504 0.000 0.496
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.4389 0.4312 0.004 0.624 0.368 0.000 0.004
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.5524 0.3103 0.000 0.000 0.516 0.068 0.416
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.2331 0.7926 0.900 0.000 0.020 0.080 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0290 0.8609 0.000 0.000 0.992 0.000 0.008
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0451 0.9703 0.004 0.988 0.000 0.000 0.008
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0290 0.8795 0.008 0.000 0.000 0.992 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.3612 0.6156 0.268 0.732 0.000 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0404 0.8292 0.988 0.000 0.000 0.000 0.012
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.2929 0.7124 0.820 0.000 0.000 0.000 0.180
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.3579 0.6751 0.756 0.000 0.000 0.240 0.004
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.2561 0.7522 0.856 0.000 0.000 0.000 0.144
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.1914 0.8032 0.016 0.000 0.060 0.000 0.924
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.4441 0.6067 0.000 0.000 0.044 0.236 0.720
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0451 0.9703 0.004 0.988 0.000 0.000 0.008
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0451 0.8792 0.004 0.000 0.000 0.988 0.008
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.2280 0.8140 0.120 0.000 0.000 0.000 0.880
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0162 0.9735 0.004 0.996 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0290 0.8795 0.008 0.000 0.000 0.992 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.1704 0.8519 0.004 0.000 0.000 0.928 0.068
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.2891 0.7211 0.824 0.000 0.000 0.000 0.176
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.3796 0.5714 0.000 0.000 0.000 0.700 0.300
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.3752 0.5233 0.708 0.000 0.000 0.000 0.292
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.2719 0.7421 0.852 0.000 0.004 0.000 0.144
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.2932 0.7770 0.032 0.000 0.000 0.104 0.864
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.3395 0.6765 0.764 0.000 0.000 0.236 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9753 0.000 1.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1732 0.8044 0.920 0.000 0.000 0.000 0.080
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.1910 0.8914 0.000 0.892 0.000 0.000 0.000 0.108
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.1075 0.8026 0.048 0.000 0.000 0.000 0.952 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0260 0.9488 0.000 0.992 0.000 0.000 0.000 0.008
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.1444 0.9171 0.000 0.928 0.000 0.000 0.000 0.072
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.1921 0.7351 0.032 0.000 0.000 0.916 0.000 0.052
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0146 0.9498 0.000 0.996 0.000 0.000 0.000 0.004
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.1788 0.7328 0.000 0.000 0.004 0.916 0.004 0.076
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0146 0.9498 0.000 0.996 0.000 0.000 0.000 0.004
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.3555 0.7677 0.000 0.776 0.040 0.000 0.000 0.184
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.1387 0.7960 0.068 0.000 0.000 0.000 0.932 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0260 0.8013 0.008 0.000 0.000 0.000 0.992 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9502 0.000 1.000 0.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0146 0.9498 0.000 0.996 0.000 0.000 0.000 0.004
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.1398 0.8563 0.008 0.000 0.940 0.000 0.000 0.052
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.2506 0.8793 0.000 0.880 0.052 0.000 0.000 0.068
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.3014 0.6709 0.184 0.000 0.000 0.804 0.000 0.012
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.0458 0.8030 0.016 0.000 0.000 0.000 0.984 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 5 0.4285 0.5305 0.000 0.000 0.232 0.024 0.716 0.028
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.2451 0.7783 0.040 0.000 0.000 0.004 0.888 0.068
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.3109 0.6658 0.224 0.000 0.000 0.000 0.772 0.004
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 3 0.3821 0.7040 0.012 0.048 0.792 0.004 0.000 0.144
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.1483 0.8036 0.944 0.000 0.000 0.012 0.008 0.036
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.4294 0.4932 0.000 0.000 0.000 0.048 0.672 0.280
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.1124 0.8675 0.008 0.000 0.956 0.000 0.000 0.036
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9502 0.000 1.000 0.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0260 0.9484 0.000 0.992 0.000 0.000 0.000 0.008
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.2871 0.6994 0.192 0.000 0.000 0.000 0.804 0.004
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.2724 0.7396 0.084 0.000 0.000 0.864 0.000 0.052
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.2896 0.7245 0.824 0.000 0.000 0.000 0.160 0.016
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.2201 0.7897 0.896 0.000 0.000 0.000 0.076 0.028
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.2573 0.7072 0.000 0.000 0.000 0.864 0.024 0.112
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.1141 0.8013 0.052 0.000 0.000 0.000 0.948 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0820 0.8074 0.972 0.000 0.000 0.000 0.012 0.016
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0858 0.8065 0.968 0.000 0.000 0.000 0.028 0.004
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0146 0.9498 0.000 0.996 0.000 0.000 0.000 0.004
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.1124 0.8043 0.956 0.000 0.000 0.000 0.036 0.008
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 3 0.5214 0.5255 0.112 0.016 0.660 0.004 0.000 0.208
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0260 0.9484 0.000 0.992 0.000 0.000 0.000 0.008
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.7681 0.1539 0.472 0.220 0.076 0.000 0.144 0.088
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.6709 0.1157 0.000 0.000 0.056 0.428 0.332 0.184
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.1251 0.8880 0.000 0.000 0.956 0.012 0.024 0.008
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9502 0.000 1.000 0.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.5236 0.5122 0.080 0.660 0.220 0.000 0.000 0.040
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 5 0.4846 0.5554 0.000 0.000 0.152 0.084 0.720 0.044
#> C5C3241A-684C-4238-9333-9AF8630EC086 6 0.4425 0.5203 0.000 0.176 0.000 0.112 0.000 0.712
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0363 0.9475 0.000 0.988 0.000 0.000 0.000 0.012
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.1434 0.8850 0.000 0.000 0.948 0.020 0.024 0.008
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.1049 0.7910 0.000 0.000 0.032 0.000 0.960 0.008
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 4 0.4769 0.4135 0.336 0.000 0.004 0.604 0.000 0.056
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0146 0.9498 0.000 0.996 0.000 0.000 0.000 0.004
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.2800 0.7118 0.004 0.000 0.008 0.860 0.016 0.112
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 4 0.4647 0.6546 0.168 0.000 0.008 0.708 0.000 0.116
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.0865 0.8036 0.036 0.000 0.000 0.000 0.964 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.1124 0.7845 0.000 0.000 0.008 0.000 0.956 0.036
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.1003 0.7409 0.020 0.000 0.000 0.964 0.000 0.016
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.3046 0.6968 0.188 0.000 0.000 0.000 0.800 0.012
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0458 0.8939 0.000 0.000 0.984 0.000 0.016 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.3104 0.6995 0.800 0.000 0.000 0.000 0.184 0.016
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 5 0.3758 0.5191 0.324 0.000 0.000 0.000 0.668 0.008
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.1387 0.9194 0.000 0.932 0.000 0.000 0.000 0.068
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0146 0.9498 0.000 0.996 0.000 0.000 0.000 0.004
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0260 0.9484 0.000 0.992 0.000 0.000 0.000 0.008
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 5 0.4105 0.4460 0.348 0.000 0.000 0.000 0.632 0.020
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.3544 0.7515 0.120 0.000 0.000 0.000 0.800 0.080
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.2814 0.7200 0.172 0.000 0.000 0.000 0.820 0.008
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.4564 0.6285 0.000 0.000 0.092 0.740 0.028 0.140
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.1787 0.7865 0.920 0.000 0.000 0.004 0.068 0.008
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.5143 0.5059 0.000 0.000 0.032 0.108 0.680 0.180
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.5867 -0.1061 0.420 0.000 0.000 0.384 0.000 0.196
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.7135 0.2513 0.072 0.000 0.044 0.172 0.528 0.184
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.2653 0.7383 0.144 0.000 0.000 0.000 0.844 0.012
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.2174 0.7491 0.000 0.000 0.008 0.008 0.896 0.088
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.1267 0.9237 0.000 0.940 0.000 0.000 0.000 0.060
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9502 0.000 1.000 0.000 0.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.1668 0.9196 0.004 0.928 0.008 0.000 0.000 0.060
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0458 0.9462 0.000 0.984 0.000 0.000 0.000 0.016
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.2278 0.7128 0.000 0.000 0.000 0.868 0.004 0.128
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0458 0.8939 0.000 0.000 0.984 0.000 0.016 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.2269 0.7751 0.896 0.000 0.012 0.012 0.000 0.080
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#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0603 0.8061 0.980 0.000 0.000 0.000 0.016 0.004
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.3071 0.7038 0.180 0.000 0.000 0.000 0.804 0.016
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.1956 0.7775 0.908 0.000 0.000 0.080 0.008 0.004
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0146 0.9498 0.000 0.996 0.000 0.000 0.000 0.004
#> E344638F-9060-460F-8F7A-60D19442F294 5 0.5886 0.3711 0.000 0.000 0.204 0.028 0.580 0.188
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.4552 0.5300 0.000 0.648 0.288 0.000 0.000 0.064
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.6813 0.3120 0.000 0.000 0.136 0.516 0.184 0.164
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0146 0.9498 0.000 0.996 0.000 0.000 0.000 0.004
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.1882 0.7766 0.928 0.000 0.024 0.028 0.000 0.020
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9502 0.000 1.000 0.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0405 0.8876 0.000 0.000 0.988 0.000 0.004 0.008
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.2562 0.8284 0.000 0.828 0.000 0.000 0.000 0.172
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0717 0.7420 0.008 0.000 0.000 0.976 0.000 0.016
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.1807 0.8863 0.060 0.920 0.000 0.000 0.000 0.020
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0951 0.8058 0.968 0.000 0.000 0.004 0.008 0.020
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.4249 0.5890 0.688 0.000 0.000 0.000 0.260 0.052
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.4758 -0.2060 0.476 0.000 0.000 0.476 0.000 0.048
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.4645 0.5498 0.648 0.000 0.000 0.000 0.276 0.076
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.0508 0.8031 0.012 0.000 0.000 0.000 0.984 0.004
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.6009 0.3846 0.000 0.000 0.036 0.572 0.212 0.180
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9502 0.000 1.000 0.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.2006 0.8925 0.000 0.892 0.004 0.000 0.000 0.104
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.2431 0.6798 0.008 0.000 0.000 0.860 0.000 0.132
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.1204 0.7982 0.056 0.000 0.000 0.000 0.944 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0146 0.9498 0.000 0.996 0.000 0.000 0.000 0.004
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9502 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9502 0.000 1.000 0.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.1257 0.7379 0.020 0.000 0.000 0.952 0.000 0.028
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 6 0.3266 0.4787 0.000 0.000 0.000 0.272 0.000 0.728
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0146 0.9499 0.000 0.996 0.000 0.000 0.000 0.004
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9502 0.000 1.000 0.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.3665 0.6144 0.728 0.000 0.000 0.000 0.252 0.020
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 6 0.4581 0.4843 0.004 0.000 0.000 0.056 0.288 0.652
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.4712 0.4532 0.596 0.000 0.000 0.000 0.344 0.060
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.4415 0.6307 0.728 0.000 0.004 0.000 0.144 0.124
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9502 0.000 1.000 0.000 0.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.2070 0.7637 0.000 0.000 0.000 0.008 0.892 0.100
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 4 0.4105 0.4744 0.348 0.000 0.000 0.632 0.000 0.020
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9502 0.000 1.000 0.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.1411 0.7992 0.936 0.000 0.000 0.000 0.060 0.004
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17377 rows and 265 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.354 0.693 0.860 0.4146 0.545 0.545
#> 3 3 0.427 0.658 0.822 0.5158 0.646 0.437
#> 4 4 0.517 0.587 0.745 0.1481 0.842 0.594
#> 5 5 0.573 0.541 0.698 0.0649 0.930 0.749
#> 6 6 0.614 0.498 0.663 0.0398 0.910 0.651
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.84320 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 2 0.9358 0.43553 0.352 0.648
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.84320 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.84320 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.5519 0.74434 0.872 0.128
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0376 0.84372 0.004 0.996
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 2 0.9686 0.30401 0.396 0.604
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0938 0.84368 0.012 0.988
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.84320 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.9988 0.22285 0.520 0.480
#> 1F101D63-478B-40B9-A951-DC3887CFF067 2 0.5294 0.79936 0.120 0.880
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.84320 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.1184 0.84357 0.016 0.984
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.75774 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.84320 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0938 0.76109 0.988 0.012
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.9993 0.20793 0.516 0.484
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 2 0.1184 0.84361 0.016 0.984
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.8499 0.66839 0.724 0.276
#> 45F15851-55F6-4169-834E-38958C38B6A9 2 0.6438 0.76128 0.164 0.836
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0000 0.75774 1.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0376 0.75922 0.996 0.004
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 2 0.7602 0.69235 0.220 0.780
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 2 0.9970 0.00436 0.468 0.532
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.84320 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0672 0.84405 0.008 0.992
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 2 0.6343 0.76557 0.160 0.840
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.7139 0.72168 0.804 0.196
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 2 0.9686 0.30551 0.396 0.604
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.75774 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 2 0.4690 0.81130 0.100 0.900
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.9000 0.61713 0.684 0.316
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.75774 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 2 0.9209 0.48097 0.336 0.664
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.84320 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 2 0.9209 0.48097 0.336 0.664
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 1 0.7602 0.70045 0.780 0.220
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.8861 0.63234 0.696 0.304
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.8909 0.62729 0.692 0.308
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.3733 0.75771 0.928 0.072
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.0376 0.84381 0.004 0.996
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.1184 0.84347 0.016 0.984
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.9248 0.46500 0.340 0.660
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 2 0.0000 0.84320 0.000 1.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.84320 0.000 1.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.84320 0.000 1.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.1184 0.84323 0.016 0.984
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.9087 0.61267 0.676 0.324
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.75774 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.6623 0.75409 0.172 0.828
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 2 0.9710 0.29142 0.400 0.600
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.75774 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.9000 0.61713 0.684 0.316
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 2 0.5408 0.79748 0.124 0.876
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 2 0.9815 0.21841 0.420 0.580
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.9710 0.46147 0.600 0.400
#> B344A530-92CD-468B-847A-DF8E25688081 2 0.0000 0.84320 0.000 1.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 2 0.6438 0.76128 0.164 0.836
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 2 0.6438 0.76128 0.164 0.836
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.84320 0.000 1.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0938 0.84393 0.012 0.988
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.1184 0.84347 0.016 0.984
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.75774 1.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 2 0.9044 0.51834 0.320 0.680
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.9000 0.61713 0.684 0.316
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.8909 0.63139 0.692 0.308
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 2 0.9209 0.48097 0.336 0.664
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.9358 0.56357 0.648 0.352
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 2 0.6343 0.76539 0.160 0.840
#> 251094BE-C33D-44F0-BD98-8618D71F520C 2 0.9286 0.45829 0.344 0.656
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.9909 0.34368 0.556 0.444
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.8016 0.69428 0.756 0.244
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.84320 0.000 1.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.6712 0.74949 0.176 0.824
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.8555 0.60011 0.280 0.720
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.84320 0.000 1.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.9977 0.24549 0.528 0.472
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 2 0.0000 0.84320 0.000 1.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.75774 1.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0376 0.75922 0.996 0.004
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.84320 0.000 1.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 2 0.3879 0.82301 0.076 0.924
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.1414 0.76199 0.980 0.020
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.9998 0.16884 0.508 0.492
#> CD6F9E20-B301-4663-87EC-953EDF49754F 2 0.0000 0.84320 0.000 1.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 2 0.4562 0.81323 0.096 0.904
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.9635 0.48903 0.612 0.388
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.84320 0.000 1.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.84320 0.000 1.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.75774 1.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0938 0.76109 0.988 0.012
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 2 0.5408 0.79734 0.124 0.876
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 2 0.2236 0.83791 0.036 0.964
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.84320 0.000 1.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.8909 0.63568 0.692 0.308
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 2 0.9580 0.35740 0.380 0.620
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.5519 0.74434 0.872 0.128
#> 93835C77-F8FA-4928-843C-8016A91881FA 2 0.6343 0.76539 0.160 0.840
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.9710 0.46147 0.600 0.400
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 2 0.6438 0.76128 0.164 0.836
#> 82AB290A-3993-45E5-8B15-6125A019778C 2 0.5737 0.78825 0.136 0.864
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.84320 0.000 1.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 2 0.0000 0.84320 0.000 1.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.75774 1.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0672 0.84405 0.008 0.992
#> 3F0865F1-8256-4778-966F-D53637B415B6 2 0.1414 0.84243 0.020 0.980
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 2 0.0000 0.84320 0.000 1.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 2 0.5737 0.78701 0.136 0.864
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 2 0.0000 0.84320 0.000 1.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0938 0.76123 0.988 0.012
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.84320 0.000 1.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 2 0.8327 0.62758 0.264 0.736
#> EF12E923-1860-4269-B57B-BA6238FA4403 2 0.9710 0.29142 0.400 0.600
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0376 0.75922 0.996 0.004
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 2 0.0000 0.84320 0.000 1.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 2 0.4022 0.82125 0.080 0.920
#> 7955FC55-386D-497E-AFED-019BBBAD428E 2 0.8813 0.55943 0.300 0.700
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.8909 0.63139 0.692 0.308
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 2 0.5946 0.78171 0.144 0.856
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 2 0.9170 0.48841 0.332 0.668
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 2 0.5059 0.80460 0.112 0.888
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.2043 0.76227 0.968 0.032
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 2 1.0000 -0.13964 0.496 0.504
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.84320 0.000 1.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 2 0.0000 0.84320 0.000 1.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.1633 0.76218 0.976 0.024
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.9866 0.37763 0.568 0.432
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.84320 0.000 1.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 1 0.8861 0.63234 0.696 0.304
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0376 0.84372 0.004 0.996
#> 0F1A5708-341E-4713-BC70-76D702F826D6 2 0.7815 0.67644 0.232 0.768
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.84320 0.000 1.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.75774 1.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.84320 0.000 1.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0672 0.84405 0.008 0.992
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.8661 0.65841 0.712 0.288
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0672 0.84405 0.008 0.992
#> 4780A59C-0589-4995-B044-3201F09AF859 2 0.5408 0.79748 0.124 0.876
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0376 0.84372 0.004 0.996
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 2 0.0000 0.84320 0.000 1.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 2 0.0000 0.84320 0.000 1.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 2 0.4022 0.82125 0.080 0.920
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.84320 0.000 1.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 2 0.9358 0.43855 0.352 0.648
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 2 0.9580 0.35740 0.380 0.620
#> 0E22B729-C381-4B0C-9897-62DD38F51722 2 0.4562 0.81359 0.096 0.904
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.2603 0.76149 0.956 0.044
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.8909 0.63139 0.692 0.308
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.9000 0.61713 0.684 0.316
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.9710 0.46147 0.600 0.400
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 2 0.9608 0.34449 0.384 0.616
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.75774 1.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 2 0.0000 0.84320 0.000 1.000
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 2 0.4690 0.81130 0.100 0.900
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.9988 0.22285 0.520 0.480
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 2 0.4022 0.82125 0.080 0.920
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 2 0.5737 0.78845 0.136 0.864
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 2 0.9393 0.42711 0.356 0.644
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 2 0.0000 0.84320 0.000 1.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.1633 0.76218 0.976 0.024
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.84320 0.000 1.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.84320 0.000 1.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0672 0.76022 0.992 0.008
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 2 0.8813 0.55943 0.300 0.700
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.7883 0.69937 0.764 0.236
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.7883 0.69937 0.764 0.236
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.8443 0.67390 0.728 0.272
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 2 0.0672 0.84410 0.008 0.992
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.84320 0.000 1.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.84320 0.000 1.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 2 0.4690 0.81284 0.100 0.900
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 2 0.9608 0.34449 0.384 0.616
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.84320 0.000 1.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.5519 0.74434 0.872 0.128
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.9850 0.39255 0.572 0.428
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0938 0.84393 0.012 0.988
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.2603 0.76149 0.956 0.044
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.5519 0.78553 0.128 0.872
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.2603 0.76149 0.956 0.044
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.1843 0.84093 0.028 0.972
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.84320 0.000 1.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 2 0.7950 0.66616 0.240 0.760
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.84320 0.000 1.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 2 0.9608 0.34694 0.384 0.616
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 2 0.5059 0.80451 0.112 0.888
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 2 0.9970 0.00436 0.468 0.532
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 2 0.5519 0.79487 0.128 0.872
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 2 0.4690 0.81130 0.100 0.900
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.1414 0.84299 0.020 0.980
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.1184 0.84347 0.016 0.984
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 2 0.6531 0.75942 0.168 0.832
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.9922 0.32924 0.552 0.448
#> C3921A29-80FF-4B9D-B366-5C0238A42231 2 0.4690 0.81284 0.100 0.900
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0376 0.75922 0.996 0.004
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 2 0.0000 0.84320 0.000 1.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.84320 0.000 1.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.84320 0.000 1.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 2 0.9552 0.37180 0.376 0.624
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 2 0.0000 0.84320 0.000 1.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 2 0.0000 0.84320 0.000 1.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.9044 0.61911 0.680 0.320
#> 827232CC-8035-440C-8B12-02C789C70B1B 2 0.0672 0.84426 0.008 0.992
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.84320 0.000 1.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.9635 0.48903 0.612 0.388
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.0000 0.84320 0.000 1.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.84320 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.75774 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.84320 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.9635 0.48903 0.612 0.388
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.84320 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.8861 0.63643 0.696 0.304
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.84320 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.84320 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.84320 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.75774 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.9993 0.20793 0.516 0.484
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 2 0.9608 0.34694 0.384 0.616
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.9129 0.60631 0.672 0.328
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.7745 0.68088 0.228 0.772
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 2 0.9996 -0.09429 0.488 0.512
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 2 0.9732 0.27067 0.404 0.596
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 2 0.1184 0.84323 0.016 0.984
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.7376 0.71200 0.792 0.208
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.9710 0.46147 0.600 0.400
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.9998 0.16884 0.508 0.492
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 2 0.9209 0.48097 0.336 0.664
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0376 0.75922 0.996 0.004
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0376 0.75922 0.996 0.004
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.84320 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.2236 0.83791 0.036 0.964
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.8661 0.58695 0.288 0.712
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.8909 0.63139 0.692 0.308
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.1414 0.84299 0.020 0.980
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.75774 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.84320 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 2 0.9970 0.00436 0.468 0.532
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0672 0.84414 0.008 0.992
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 2 0.9393 0.42916 0.356 0.644
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.8909 0.62729 0.692 0.308
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.75774 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.75774 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.1414 0.76199 0.980 0.020
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0376 0.75922 0.996 0.004
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.8267 0.68376 0.740 0.260
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 2 0.9044 0.51562 0.320 0.680
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.84320 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0672 0.84414 0.008 0.992
#> E9C28902-05C9-4883-97A4-D612D54E46B4 2 0.4939 0.80694 0.108 0.892
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.9993 0.20793 0.516 0.484
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0672 0.84405 0.008 0.992
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.84320 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.1184 0.84357 0.016 0.984
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 2 0.9963 0.02143 0.464 0.536
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 2 0.5059 0.80451 0.112 0.888
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.5842 0.78475 0.140 0.860
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.1184 0.84357 0.016 0.984
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.75774 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 2 0.5059 0.80451 0.112 0.888
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.75774 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.2603 0.76149 0.956 0.044
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.1184 0.84347 0.016 0.984
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 2 0.4022 0.82125 0.080 0.920
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0938 0.76109 0.988 0.012
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.1184 0.84357 0.016 0.984
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0376 0.75923 0.996 0.004
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.8523 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 3 0.5467 0.7121 0.112 0.072 0.816
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.8523 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.4291 0.7813 0.000 0.820 0.180
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#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.6252 0.3400 0.000 0.556 0.444
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.8523 0.000 1.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 3 0.4249 0.7136 0.028 0.108 0.864
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.8523 0.000 1.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 3 0.4172 0.7005 0.104 0.028 0.868
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 3 0.4931 0.5923 0.000 0.232 0.768
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.4235 0.6406 0.176 0.000 0.824
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 3 0.4784 0.6327 0.004 0.200 0.796
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 3 0.5216 0.5512 0.000 0.260 0.740
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.6295 0.2940 0.000 0.528 0.472
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.5926 0.5707 0.000 0.644 0.356
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 3 0.5842 0.6637 0.036 0.196 0.768
#> C06603C2-163D-40B6-A9FE-882424F18FE9 3 0.5618 0.5727 0.260 0.008 0.732
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.5465 0.5165 0.000 0.288 0.712
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.2066 0.8450 0.940 0.000 0.060
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 2 0.0000 0.8523 0.000 1.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.8523 0.000 1.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0237 0.8521 0.000 0.996 0.004
#> 266DAF30-CF3E-493E-8B24-3931D0039450 3 0.4015 0.7032 0.096 0.028 0.876
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 2 0.0237 0.8520 0.000 0.996 0.004
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 2 0.0000 0.8523 0.000 1.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 3 0.6095 0.2937 0.392 0.000 0.608
#> 827232CC-8035-440C-8B12-02C789C70B1B 2 0.2356 0.8341 0.000 0.928 0.072
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.8523 0.000 1.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 3 0.5650 0.4763 0.312 0.000 0.688
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.0000 0.8523 0.000 1.000 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.8523 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.8346 1.000 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.8523 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 3 0.5650 0.4763 0.312 0.000 0.688
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.8523 0.000 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.6308 0.0975 0.508 0.000 0.492
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.8523 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0237 0.8521 0.000 0.996 0.004
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.8523 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.8346 1.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 3 0.5070 0.6049 0.224 0.004 0.772
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 3 0.4172 0.7005 0.104 0.028 0.868
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.6026 0.3298 0.376 0.000 0.624
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 3 0.3425 0.7080 0.004 0.112 0.884
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 3 0.4733 0.6299 0.196 0.004 0.800
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.6208 0.6883 0.164 0.068 0.768
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 2 0.5905 0.5668 0.000 0.648 0.352
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.5968 0.4605 0.636 0.000 0.364
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 3 0.5529 0.5039 0.296 0.000 0.704
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 3 0.4834 0.6246 0.204 0.004 0.792
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 3 0.3764 0.7128 0.068 0.040 0.892
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.2165 0.8449 0.936 0.000 0.064
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.2066 0.8450 0.940 0.000 0.060
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.8523 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.5988 0.5298 0.000 0.632 0.368
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 3 0.2982 0.7137 0.024 0.056 0.920
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.6168 0.2252 0.412 0.000 0.588
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.6295 0.2940 0.000 0.528 0.472
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0892 0.8402 0.980 0.000 0.020
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.8523 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.4235 0.6406 0.176 0.000 0.824
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.4750 0.7547 0.000 0.784 0.216
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 3 0.4206 0.7100 0.088 0.040 0.872
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.6307 0.1249 0.512 0.000 0.488
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.8346 1.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.8346 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.2711 0.8374 0.912 0.000 0.088
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.2165 0.8449 0.936 0.000 0.064
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 3 0.6291 0.0257 0.468 0.000 0.532
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 3 0.4925 0.7175 0.080 0.076 0.844
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.1964 0.8411 0.000 0.944 0.056
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.4750 0.7547 0.000 0.784 0.216
#> E9C28902-05C9-4883-97A4-D612D54E46B4 3 0.4796 0.6028 0.000 0.220 0.780
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 3 0.5070 0.6049 0.224 0.004 0.772
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.5254 0.7054 0.000 0.736 0.264
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.8523 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.6286 0.2791 0.000 0.536 0.464
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 3 0.4409 0.6502 0.172 0.004 0.824
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.4931 0.5923 0.000 0.232 0.768
#> E489A871-3CF4-4F3D-8EAF-63B507054201 3 0.4702 0.6193 0.000 0.212 0.788
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.6295 0.2170 0.000 0.528 0.472
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.8346 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.4931 0.5923 0.000 0.232 0.768
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.8346 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.3551 0.8067 0.868 0.000 0.132
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.6267 0.3490 0.000 0.548 0.452
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.5560 0.4791 0.000 0.300 0.700
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.2448 0.8423 0.924 0.000 0.076
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.6307 0.2200 0.000 0.512 0.488
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.2066 0.8443 0.940 0.000 0.060
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.83061 0.000 1.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 4 0.5655 0.36179 0.028 0.008 0.316 0.648
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0592 0.83147 0.000 0.984 0.016 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.4621 0.64913 0.000 0.708 0.284 0.008
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.5300 0.46541 0.580 0.000 0.012 0.408
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.4391 0.68350 0.000 0.740 0.252 0.008
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.4252 0.49795 0.004 0.000 0.252 0.744
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.5607 0.21816 0.000 0.492 0.488 0.020
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.83061 0.000 1.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 4 0.5690 0.61367 0.116 0.000 0.168 0.716
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.5222 0.61344 0.000 0.032 0.688 0.280
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0188 0.83060 0.000 0.996 0.004 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 3 0.5742 0.15239 0.000 0.368 0.596 0.036
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0779 0.81614 0.980 0.000 0.004 0.016
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1022 0.82634 0.000 0.968 0.032 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.3400 0.83014 0.820 0.000 0.000 0.180
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 4 0.5719 0.60939 0.112 0.000 0.176 0.712
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 2 0.4748 0.67113 0.000 0.716 0.268 0.016
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 4 0.5392 0.45969 0.280 0.000 0.040 0.680
#> 45F15851-55F6-4169-834E-38958C38B6A9 3 0.5420 0.53769 0.000 0.024 0.624 0.352
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0779 0.81614 0.980 0.000 0.004 0.016
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.3074 0.83999 0.848 0.000 0.000 0.152
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 3 0.6070 0.41563 0.000 0.048 0.548 0.404
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 4 0.6242 0.46737 0.080 0.000 0.308 0.612
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.1940 0.81830 0.000 0.924 0.076 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.4955 0.54864 0.000 0.648 0.344 0.008
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 3 0.5403 0.54329 0.000 0.024 0.628 0.348
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.5800 0.11296 0.420 0.000 0.032 0.548
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 4 0.4980 0.40987 0.016 0.000 0.304 0.680
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.81813 1.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.5250 0.65299 0.000 0.068 0.736 0.196
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 4 0.5168 0.54575 0.248 0.000 0.040 0.712
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.81813 1.000 0.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 4 0.4746 0.24615 0.000 0.000 0.368 0.632
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.1940 0.81791 0.000 0.924 0.076 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 4 0.4761 0.23461 0.000 0.000 0.372 0.628
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 1 0.6426 0.50815 0.628 0.000 0.116 0.256
#> 655BD3AF-5094-4B19-93A8-401C70369B17 4 0.6554 0.11208 0.376 0.000 0.084 0.540
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 4 0.6597 0.12014 0.372 0.000 0.088 0.540
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.4406 0.70455 0.700 0.000 0.000 0.300
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.5311 0.59540 0.000 0.648 0.328 0.024
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.5512 0.21342 0.000 0.492 0.492 0.016
#> 619F37D2-6771-4727-9079-56BED07F1CF6 4 0.5754 0.24719 0.016 0.008 0.428 0.548
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 2 0.2149 0.81367 0.000 0.912 0.088 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.83061 0.000 1.000 0.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0188 0.83060 0.000 0.996 0.004 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.5906 0.38234 0.000 0.528 0.436 0.036
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 4 0.4755 0.57237 0.200 0.000 0.040 0.760
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.81813 1.000 0.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 3 0.5986 0.29445 0.000 0.060 0.620 0.320
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.4360 0.50518 0.008 0.000 0.248 0.744
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.2011 0.83473 0.920 0.000 0.000 0.080
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 4 0.5168 0.54575 0.248 0.000 0.040 0.712
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.5599 0.62576 0.000 0.052 0.672 0.276
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.4502 0.53673 0.016 0.000 0.236 0.748
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 4 0.4711 0.64461 0.152 0.000 0.064 0.784
#> B344A530-92CD-468B-847A-DF8E25688081 2 0.1940 0.81302 0.000 0.924 0.076 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 3 0.5420 0.53769 0.000 0.024 0.624 0.352
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 3 0.5436 0.53306 0.000 0.024 0.620 0.356
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.4769 0.61954 0.000 0.684 0.308 0.008
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.5193 0.42559 0.000 0.580 0.412 0.008
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 3 0.5638 0.09850 0.000 0.388 0.584 0.028
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0469 0.82208 0.988 0.000 0.000 0.012
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 4 0.7268 -0.00723 0.072 0.028 0.432 0.468
#> 96038E42-0FBA-497D-819C-38F7689F10FF 4 0.5168 0.54575 0.248 0.000 0.040 0.712
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.4956 0.51107 0.232 0.000 0.036 0.732
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 4 0.4761 0.23461 0.000 0.000 0.372 0.628
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 4 0.4801 0.57129 0.188 0.000 0.048 0.764
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 3 0.5453 0.57804 0.000 0.032 0.648 0.320
#> 251094BE-C33D-44F0-BD98-8618D71F520C 4 0.5068 0.36268 0.012 0.004 0.308 0.676
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 4 0.5630 0.63169 0.140 0.000 0.136 0.724
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 4 0.5250 0.38932 0.316 0.000 0.024 0.660
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.1389 0.82973 0.000 0.952 0.048 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 3 0.5830 0.28456 0.000 0.048 0.620 0.332
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 4 0.5571 0.10744 0.004 0.012 0.472 0.512
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.3157 0.77848 0.000 0.852 0.144 0.004
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.4843 0.64177 0.104 0.000 0.112 0.784
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 2 0.1940 0.81302 0.000 0.924 0.076 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.81813 1.000 0.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.3123 0.83937 0.844 0.000 0.000 0.156
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#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.4957 0.29058 0.004 0.004 0.336 0.656
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.2530 0.80071 0.000 0.888 0.112 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.4781 0.58656 0.000 0.660 0.336 0.004
#> E9C28902-05C9-4883-97A4-D612D54E46B4 3 0.5106 0.63888 0.000 0.040 0.720 0.240
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 4 0.5719 0.60939 0.112 0.000 0.176 0.712
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.5172 0.44420 0.000 0.588 0.404 0.008
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0921 0.83099 0.000 0.972 0.028 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 3 0.5742 0.15239 0.000 0.368 0.596 0.036
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.4050 0.60529 0.036 0.000 0.144 0.820
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.5394 0.64822 0.000 0.060 0.712 0.228
#> E489A871-3CF4-4F3D-8EAF-63B507054201 3 0.5941 0.35353 0.000 0.072 0.652 0.276
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 3 0.5781 0.15054 0.000 0.380 0.584 0.036
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.81813 1.000 0.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.5394 0.64822 0.000 0.060 0.712 0.228
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.81813 1.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.4072 0.76326 0.748 0.000 0.000 0.252
#> AAD9685A-564B-42E9-91E3-431951154BA7 3 0.5638 0.09850 0.000 0.388 0.584 0.028
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.5495 0.64903 0.000 0.096 0.728 0.176
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.3356 0.83229 0.824 0.000 0.000 0.176
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 3 0.5649 0.20516 0.000 0.344 0.620 0.036
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.3172 0.83630 0.840 0.000 0.000 0.160
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.7194 0.000 1.000 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.5254 -0.0815 0.020 0.000 0.016 0.448 0.516
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0510 0.7183 0.000 0.984 0.016 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.5022 0.2944 0.000 0.620 0.332 0.000 0.048
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.5242 0.4222 0.548 0.000 0.008 0.412 0.032
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.4714 0.3270 0.000 0.644 0.324 0.000 0.032
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.4822 0.3345 0.004 0.000 0.016 0.564 0.416
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 3 0.5000 0.4353 0.000 0.388 0.576 0.000 0.036
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.7194 0.000 1.000 0.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 4 0.6121 0.4658 0.088 0.000 0.016 0.528 0.368
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.2679 0.7664 0.004 0.000 0.048 0.056 0.892
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0162 0.7189 0.000 0.996 0.004 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 3 0.4798 0.6167 0.000 0.268 0.684 0.004 0.044
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0798 0.7839 0.976 0.000 0.008 0.016 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.1605 0.7100 0.000 0.944 0.040 0.012 0.004
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.3210 0.8020 0.788 0.000 0.000 0.212 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 4 0.6093 0.4545 0.084 0.000 0.016 0.524 0.376
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 2 0.6295 0.4902 0.000 0.584 0.208 0.012 0.196
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 4 0.5318 0.4648 0.244 0.000 0.020 0.676 0.060
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.2490 0.7323 0.004 0.000 0.020 0.080 0.896
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0798 0.7839 0.976 0.000 0.008 0.016 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.2966 0.8135 0.816 0.000 0.000 0.184 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.3928 0.6366 0.000 0.008 0.028 0.176 0.788
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 4 0.5583 0.2998 0.052 0.000 0.244 0.664 0.040
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.2513 0.6579 0.000 0.876 0.116 0.000 0.008
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.5229 0.0345 0.000 0.548 0.404 0.000 0.048
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.2393 0.7349 0.004 0.000 0.016 0.080 0.900
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.5452 0.1566 0.384 0.000 0.004 0.556 0.056
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 5 0.5069 -0.0353 0.008 0.000 0.020 0.452 0.520
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0451 0.7894 0.988 0.000 0.004 0.008 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 5 0.2171 0.7608 0.000 0.024 0.064 0.000 0.912
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 4 0.6416 0.5447 0.212 0.000 0.020 0.584 0.184
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0162 0.7862 0.996 0.000 0.004 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 5 0.4813 0.2551 0.004 0.000 0.020 0.376 0.600
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.2536 0.6545 0.000 0.868 0.128 0.000 0.004
#> E7AA12EE-6E14-4B33-A52C-B13589436023 5 0.4801 0.2681 0.004 0.000 0.020 0.372 0.604
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 1 0.5795 0.4909 0.596 0.000 0.136 0.268 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 4 0.6046 0.0694 0.344 0.000 0.132 0.524 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 4 0.6069 0.0766 0.340 0.000 0.136 0.524 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.4435 0.6715 0.664 0.000 0.008 0.320 0.008
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.7088 0.4095 0.000 0.520 0.232 0.044 0.204
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 3 0.5423 0.4121 0.000 0.388 0.548 0.000 0.064
#> 619F37D2-6771-4727-9079-56BED07F1CF6 4 0.5880 0.0254 0.000 0.000 0.416 0.484 0.100
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 2 0.4330 0.6473 0.000 0.776 0.160 0.012 0.052
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0162 0.7195 0.000 0.996 0.004 0.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0162 0.7189 0.000 0.996 0.004 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.7636 0.2377 0.000 0.400 0.288 0.052 0.260
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 4 0.5152 0.5684 0.164 0.000 0.012 0.716 0.108
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0162 0.7862 0.996 0.000 0.004 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 3 0.5872 0.5007 0.000 0.044 0.628 0.272 0.056
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.4928 0.3445 0.008 0.000 0.016 0.564 0.412
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.2020 0.8083 0.900 0.000 0.000 0.100 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 4 0.6416 0.5447 0.212 0.000 0.020 0.584 0.184
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.4375 0.7312 0.000 0.024 0.096 0.084 0.796
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.4426 0.4042 0.004 0.000 0.004 0.612 0.380
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 4 0.6037 0.5630 0.120 0.000 0.020 0.620 0.240
#> B344A530-92CD-468B-847A-DF8E25688081 2 0.4181 0.6495 0.000 0.788 0.152 0.012 0.048
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 5 0.2490 0.7323 0.004 0.000 0.020 0.080 0.896
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 5 0.2550 0.7302 0.004 0.000 0.020 0.084 0.892
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.5215 0.1899 0.000 0.576 0.372 0.000 0.052
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.5458 -0.1891 0.000 0.476 0.464 0.000 0.060
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 3 0.5255 0.5936 0.000 0.284 0.644 0.004 0.068
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0771 0.7935 0.976 0.000 0.004 0.020 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.5773 0.3694 0.060 0.000 0.036 0.268 0.636
#> 96038E42-0FBA-497D-819C-38F7689F10FF 4 0.6416 0.5447 0.212 0.000 0.020 0.584 0.184
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.4832 0.4989 0.192 0.000 0.024 0.736 0.048
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 5 0.4801 0.2681 0.004 0.000 0.020 0.372 0.604
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 4 0.5096 0.5565 0.152 0.000 0.028 0.736 0.084
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 5 0.1981 0.7471 0.000 0.000 0.016 0.064 0.920
#> 251094BE-C33D-44F0-BD98-8618D71F520C 4 0.5302 0.1345 0.008 0.000 0.032 0.488 0.472
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 4 0.6224 0.5140 0.108 0.000 0.016 0.548 0.328
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 4 0.5318 0.4020 0.276 0.000 0.020 0.656 0.048
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.2037 0.7131 0.000 0.920 0.064 0.012 0.004
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 3 0.5724 0.4831 0.000 0.032 0.628 0.284 0.056
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 3 0.5649 0.1476 0.004 0.000 0.480 0.452 0.064
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.3582 0.5417 0.000 0.768 0.224 0.000 0.008
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.5303 0.5829 0.072 0.000 0.020 0.692 0.216
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 2 0.4181 0.6495 0.000 0.788 0.152 0.012 0.048
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0162 0.7862 0.996 0.000 0.004 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.3003 0.8127 0.812 0.000 0.000 0.188 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.2233 0.6756 0.000 0.892 0.104 0.000 0.004
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 5 0.3064 0.7376 0.000 0.036 0.108 0.000 0.856
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.3452 0.7812 0.756 0.000 0.000 0.244 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 4 0.5838 0.4367 0.060 0.000 0.020 0.560 0.360
#> CD6F9E20-B301-4663-87EC-953EDF49754F 2 0.4098 0.6522 0.000 0.796 0.144 0.012 0.048
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 5 0.2206 0.7641 0.000 0.016 0.068 0.004 0.912
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 4 0.6019 0.5706 0.128 0.000 0.020 0.628 0.224
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0404 0.7187 0.000 0.988 0.012 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.2280 0.6649 0.000 0.880 0.120 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0162 0.7862 0.996 0.000 0.004 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.3177 0.8050 0.792 0.000 0.000 0.208 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.3223 0.7684 0.004 0.008 0.048 0.072 0.868
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 2 0.7598 0.1507 0.000 0.372 0.240 0.048 0.340
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.5154 0.2011 0.000 0.580 0.372 0.000 0.048
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.5301 0.5186 0.212 0.000 0.012 0.688 0.088
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.4702 0.2961 0.000 0.000 0.016 0.552 0.432
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.5235 0.4303 0.552 0.000 0.008 0.408 0.032
#> 93835C77-F8FA-4928-843C-8016A91881FA 5 0.1981 0.7471 0.000 0.000 0.016 0.064 0.920
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 4 0.6037 0.5630 0.120 0.000 0.020 0.620 0.240
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 5 0.2490 0.7323 0.004 0.000 0.020 0.080 0.896
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.2804 0.7630 0.004 0.000 0.044 0.068 0.884
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0771 0.7155 0.000 0.976 0.020 0.000 0.004
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 2 0.7161 0.3821 0.000 0.500 0.264 0.044 0.192
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.2929 0.8150 0.820 0.000 0.000 0.180 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 3 0.5295 0.2003 0.000 0.464 0.488 0.000 0.048
#> 3F0865F1-8256-4778-966F-D53637B415B6 2 0.7705 0.2031 0.000 0.388 0.268 0.056 0.288
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 2 0.7015 0.4139 0.000 0.524 0.260 0.044 0.172
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 5 0.1918 0.7661 0.000 0.000 0.036 0.036 0.928
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 2 0.6488 0.5039 0.000 0.600 0.228 0.044 0.128
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.3551 0.7929 0.772 0.000 0.000 0.220 0.008
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0771 0.7155 0.000 0.976 0.020 0.000 0.004
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 5 0.4774 0.5356 0.004 0.000 0.044 0.264 0.688
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.4928 0.3445 0.008 0.000 0.016 0.564 0.412
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.3039 0.8116 0.808 0.000 0.000 0.192 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 2 0.4181 0.6495 0.000 0.788 0.152 0.012 0.048
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 5 0.2905 0.7406 0.000 0.036 0.096 0.000 0.868
#> 7955FC55-386D-497E-AFED-019BBBAD428E 4 0.6388 0.0657 0.000 0.000 0.312 0.496 0.192
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 4 0.4832 0.4989 0.192 0.000 0.024 0.736 0.048
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 5 0.3131 0.7615 0.004 0.004 0.040 0.084 0.868
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 4 0.5966 0.0892 0.000 0.000 0.108 0.460 0.432
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 5 0.2998 0.7673 0.000 0.028 0.052 0.036 0.884
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.3730 0.7415 0.712 0.000 0.000 0.288 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 4 0.4927 0.5460 0.052 0.000 0.000 0.652 0.296
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.3689 0.5075 0.000 0.740 0.256 0.000 0.004
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 2 0.4181 0.6495 0.000 0.788 0.152 0.012 0.048
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.3741 0.7596 0.732 0.000 0.000 0.264 0.004
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 4 0.6373 0.5202 0.120 0.000 0.020 0.548 0.312
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.1124 0.7114 0.000 0.960 0.036 0.000 0.004
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 4 0.6046 0.0694 0.344 0.000 0.132 0.524 0.000
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.5065 0.0088 0.000 0.544 0.420 0.000 0.036
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.6615 0.0260 0.000 0.000 0.408 0.376 0.216
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.1205 0.7085 0.000 0.956 0.040 0.000 0.004
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0162 0.7862 0.996 0.000 0.004 0.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.7194 0.000 1.000 0.000 0.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.5352 -0.1899 0.000 0.480 0.468 0.000 0.052
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 4 0.5823 0.4977 0.252 0.000 0.004 0.612 0.132
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.5351 -0.1610 0.000 0.484 0.464 0.000 0.052
#> 4780A59C-0589-4995-B044-3201F09AF859 5 0.4427 0.7296 0.000 0.024 0.100 0.084 0.792
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.3194 0.6136 0.000 0.832 0.148 0.000 0.020
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 2 0.4181 0.6495 0.000 0.788 0.152 0.012 0.048
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 2 0.6688 0.4796 0.000 0.580 0.220 0.044 0.156
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 5 0.2850 0.7431 0.000 0.036 0.092 0.000 0.872
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0609 0.7178 0.000 0.980 0.020 0.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 4 0.4533 0.2407 0.000 0.000 0.008 0.544 0.448
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 4 0.4702 0.2961 0.000 0.000 0.016 0.552 0.432
#> 0E22B729-C381-4B0C-9897-62DD38F51722 5 0.2300 0.7586 0.000 0.024 0.072 0.000 0.904
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.4015 0.7285 0.708 0.000 0.004 0.284 0.004
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 4 0.4832 0.4989 0.192 0.000 0.024 0.736 0.048
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 4 0.6416 0.5447 0.212 0.000 0.020 0.584 0.184
#> A68B078D-8979-4070-BB4D-F526704ED3DC 4 0.6037 0.5630 0.120 0.000 0.020 0.620 0.240
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 4 0.4696 0.3076 0.000 0.000 0.016 0.556 0.428
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0162 0.7862 0.996 0.000 0.004 0.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 2 0.4356 0.6484 0.000 0.776 0.156 0.012 0.056
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 5 0.2171 0.7608 0.000 0.024 0.064 0.000 0.912
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 4 0.6011 0.4799 0.088 0.000 0.012 0.540 0.360
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 5 0.2983 0.7385 0.000 0.040 0.096 0.000 0.864
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 5 0.2438 0.7635 0.000 0.008 0.044 0.040 0.908
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 5 0.4813 0.2198 0.004 0.000 0.020 0.376 0.600
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 2 0.4181 0.6495 0.000 0.788 0.152 0.012 0.048
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.3741 0.7596 0.732 0.000 0.000 0.264 0.004
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.1638 0.6972 0.000 0.932 0.064 0.000 0.004
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0162 0.7189 0.000 0.996 0.004 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.2732 0.8153 0.840 0.000 0.000 0.160 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 4 0.6388 0.0657 0.000 0.000 0.312 0.496 0.192
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 4 0.5444 0.3818 0.288 0.000 0.020 0.640 0.052
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 4 0.5380 0.3775 0.288 0.000 0.020 0.644 0.048
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 4 0.5635 0.4952 0.240 0.000 0.012 0.648 0.100
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 2 0.7127 0.4004 0.000 0.512 0.240 0.044 0.204
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.1605 0.7100 0.000 0.944 0.040 0.012 0.004
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.1605 0.7100 0.000 0.944 0.040 0.012 0.004
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 5 0.5001 0.6940 0.000 0.056 0.128 0.060 0.756
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.4696 0.3076 0.000 0.000 0.016 0.556 0.428
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.7194 0.000 1.000 0.000 0.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.5235 0.4303 0.552 0.000 0.008 0.408 0.032
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 4 0.6243 0.5343 0.120 0.000 0.016 0.564 0.300
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.5407 -0.1975 0.000 0.472 0.472 0.000 0.056
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.3992 0.7323 0.712 0.000 0.004 0.280 0.004
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 5 0.7844 0.2439 0.000 0.100 0.264 0.196 0.440
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.3992 0.7323 0.712 0.000 0.004 0.280 0.004
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 3 0.5666 0.5179 0.000 0.328 0.592 0.012 0.068
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0290 0.7195 0.000 0.992 0.008 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.5503 0.3787 0.000 0.004 0.072 0.328 0.596
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.7194 0.000 1.000 0.000 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.4390 0.3121 0.000 0.000 0.004 0.568 0.428
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 5 0.1983 0.7669 0.000 0.008 0.060 0.008 0.924
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 4 0.5583 0.2998 0.052 0.000 0.244 0.664 0.040
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 5 0.2376 0.7691 0.000 0.000 0.052 0.044 0.904
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 5 0.2171 0.7608 0.000 0.024 0.064 0.000 0.912
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 3 0.5156 0.6165 0.000 0.256 0.668 0.004 0.072
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 3 0.5423 0.4121 0.000 0.388 0.548 0.000 0.064
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.3449 0.7339 0.004 0.000 0.040 0.120 0.836
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.6240 0.5268 0.108 0.000 0.020 0.564 0.308
#> C3921A29-80FF-4B9D-B366-5C0238A42231 5 0.5001 0.6940 0.000 0.056 0.128 0.060 0.756
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.2966 0.8135 0.816 0.000 0.000 0.184 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 2 0.4181 0.6495 0.000 0.788 0.152 0.012 0.048
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0162 0.7189 0.000 0.996 0.004 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.1124 0.7105 0.000 0.960 0.036 0.000 0.004
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.4415 0.2731 0.000 0.000 0.004 0.552 0.444
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 2 0.4330 0.6473 0.000 0.776 0.160 0.012 0.052
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 2 0.4098 0.6522 0.000 0.796 0.144 0.012 0.048
#> CED15676-B901-4FC8-9C8D-51E529D9441D 4 0.5304 0.5608 0.176 0.000 0.012 0.700 0.112
#> 827232CC-8035-440C-8B12-02C789C70B1B 2 0.5234 0.6027 0.000 0.708 0.168 0.012 0.112
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0510 0.7182 0.000 0.984 0.016 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 4 0.6019 0.5706 0.128 0.000 0.020 0.628 0.224
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.4181 0.6495 0.000 0.788 0.152 0.012 0.048
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0162 0.7189 0.000 0.996 0.004 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0162 0.7862 0.996 0.000 0.004 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.7194 0.000 1.000 0.000 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 4 0.6019 0.5706 0.128 0.000 0.020 0.628 0.224
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0771 0.7155 0.000 0.976 0.020 0.000 0.004
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 4 0.6279 0.1439 0.328 0.000 0.068 0.560 0.044
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0162 0.7189 0.000 0.996 0.004 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.1121 0.7097 0.000 0.956 0.044 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0290 0.7186 0.000 0.992 0.008 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0162 0.7862 0.996 0.000 0.004 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 4 0.6076 0.4666 0.084 0.000 0.016 0.532 0.368
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.4390 0.3121 0.000 0.000 0.004 0.568 0.428
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 4 0.5115 0.5702 0.160 0.000 0.012 0.720 0.108
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 3 0.5511 0.3485 0.000 0.020 0.568 0.376 0.036
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.4438 0.5602 0.032 0.000 0.008 0.732 0.228
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 4 0.5501 0.3338 0.036 0.000 0.016 0.536 0.412
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 2 0.7670 0.2079 0.000 0.384 0.296 0.052 0.268
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.6259 0.3104 0.480 0.000 0.052 0.424 0.044
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 4 0.6037 0.5630 0.120 0.000 0.020 0.620 0.240
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.5838 0.4367 0.060 0.000 0.020 0.560 0.360
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 5 0.4801 0.2681 0.004 0.000 0.020 0.372 0.604
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.3039 0.8116 0.808 0.000 0.000 0.192 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.2966 0.8135 0.816 0.000 0.000 0.184 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0404 0.7180 0.000 0.988 0.012 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.7542 0.2199 0.000 0.408 0.232 0.048 0.312
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 3 0.5760 0.1295 0.008 0.000 0.472 0.456 0.064
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.4832 0.4989 0.192 0.000 0.024 0.736 0.048
#> 23917D52-7864-4F84-9C77-DF8EA9407345 3 0.5156 0.6165 0.000 0.256 0.668 0.004 0.072
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.1544 0.8052 0.932 0.000 0.000 0.068 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0162 0.7189 0.000 0.996 0.004 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 4 0.5583 0.2998 0.052 0.000 0.244 0.664 0.040
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.5618 0.1789 0.000 0.564 0.348 0.000 0.088
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.4430 0.2409 0.000 0.000 0.004 0.540 0.456
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 4 0.6069 0.0766 0.340 0.000 0.136 0.524 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0162 0.7862 0.996 0.000 0.004 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0162 0.7862 0.996 0.000 0.004 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.3366 0.7889 0.768 0.000 0.000 0.232 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.3039 0.8116 0.808 0.000 0.000 0.192 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 4 0.5683 0.4741 0.256 0.000 0.012 0.636 0.096
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.5044 -0.0556 0.000 0.000 0.032 0.464 0.504
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.3209 0.5984 0.000 0.812 0.180 0.000 0.008
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.5618 0.1789 0.000 0.564 0.348 0.000 0.088
#> E9C28902-05C9-4883-97A4-D612D54E46B4 5 0.2193 0.7691 0.000 0.000 0.060 0.028 0.912
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 4 0.6093 0.4545 0.084 0.000 0.016 0.524 0.376
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.5405 -0.1677 0.000 0.484 0.460 0.000 0.056
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.1341 0.7051 0.000 0.944 0.056 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 3 0.4798 0.6167 0.000 0.268 0.684 0.004 0.044
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.4478 0.5234 0.020 0.000 0.008 0.700 0.272
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 5 0.2208 0.7678 0.000 0.012 0.060 0.012 0.916
#> E489A871-3CF4-4F3D-8EAF-63B507054201 3 0.5829 0.5427 0.000 0.052 0.656 0.232 0.060
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 3 0.5140 0.5547 0.000 0.324 0.624 0.004 0.048
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0162 0.7862 0.996 0.000 0.004 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.2208 0.7678 0.000 0.012 0.060 0.012 0.916
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0451 0.7894 0.988 0.000 0.004 0.008 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.3992 0.7323 0.712 0.000 0.004 0.280 0.004
#> AAD9685A-564B-42E9-91E3-431951154BA7 3 0.5255 0.5936 0.000 0.284 0.644 0.004 0.068
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.2850 0.7431 0.000 0.036 0.092 0.000 0.872
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.3177 0.8045 0.792 0.000 0.000 0.208 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 3 0.4595 0.6280 0.000 0.236 0.716 0.004 0.044
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.3039 0.8094 0.808 0.000 0.000 0.192 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 3 0.3508 0.54295 0.000 0.292 0.704 0.000 0.004 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 4 0.5738 0.22111 0.000 0.004 0.000 0.432 0.420 0.144
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 3 0.3563 0.51833 0.000 0.336 0.664 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.4868 0.45739 0.000 0.632 0.304 0.000 0.032 0.032
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.5512 -0.31659 0.420 0.000 0.008 0.488 0.008 0.076
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.3802 0.42212 0.000 0.676 0.312 0.000 0.012 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.5935 0.43471 0.004 0.008 0.000 0.512 0.312 0.164
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.4225 0.65511 0.000 0.780 0.128 0.008 0.028 0.056
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 3 0.3665 0.54186 0.000 0.296 0.696 0.000 0.004 0.004
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 4 0.4308 0.52250 0.020 0.000 0.000 0.724 0.216 0.040
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.2320 0.80463 0.000 0.000 0.000 0.132 0.864 0.004
#> DD290860-E0B7-48FC-BE12-2AF729994C21 3 0.3464 0.53507 0.000 0.312 0.688 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.4400 0.58045 0.000 0.780 0.064 0.020 0.028 0.108
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.1226 0.67482 0.952 0.000 0.004 0.004 0.000 0.040
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 3 0.3219 0.53013 0.000 0.168 0.808 0.000 0.008 0.016
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.4101 0.73767 0.664 0.000 0.000 0.308 0.000 0.028
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#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.3457 0.75265 0.752 0.000 0.000 0.232 0.000 0.016
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 6 0.5796 0.45683 0.000 0.020 0.008 0.196 0.168 0.608
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 4 0.6171 0.25191 0.216 0.004 0.004 0.552 0.020 0.204
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 4 0.6095 0.24622 0.216 0.004 0.004 0.556 0.016 0.204
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 4 0.5879 0.36793 0.172 0.000 0.000 0.604 0.044 0.180
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.5809 0.29673 0.000 0.012 0.556 0.000 0.204 0.228
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 3 0.3219 0.53013 0.000 0.168 0.808 0.000 0.008 0.016
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 3 0.3219 0.53013 0.000 0.168 0.808 0.000 0.008 0.016
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 5 0.4675 0.72990 0.000 0.028 0.064 0.052 0.772 0.084
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.5836 0.41777 0.000 0.008 0.000 0.504 0.324 0.164
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 3 0.3508 0.54295 0.000 0.292 0.704 0.000 0.004 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.5515 -0.32547 0.424 0.000 0.008 0.484 0.008 0.076
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 4 0.3433 0.52562 0.020 0.000 0.000 0.808 0.152 0.020
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.3516 0.65429 0.000 0.788 0.164 0.000 0.048 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.4920 0.65878 0.592 0.004 0.004 0.352 0.004 0.044
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 5 0.7123 0.12437 0.000 0.320 0.004 0.208 0.392 0.076
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.4920 0.65878 0.592 0.004 0.004 0.352 0.004 0.044
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.5969 0.57990 0.000 0.648 0.156 0.016 0.080 0.100
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 3 0.3499 0.53116 0.000 0.320 0.680 0.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.6017 0.27395 0.000 0.020 0.004 0.264 0.548 0.164
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 3 0.3508 0.54295 0.000 0.292 0.704 0.000 0.004 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.5645 0.42279 0.000 0.000 0.000 0.508 0.320 0.172
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 5 0.1003 0.81587 0.000 0.000 0.004 0.028 0.964 0.004
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 6 0.4633 0.53411 0.032 0.008 0.004 0.256 0.012 0.688
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 5 0.1806 0.81495 0.000 0.000 0.000 0.088 0.908 0.004
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 5 0.1007 0.81122 0.000 0.004 0.016 0.008 0.968 0.004
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.3019 0.60515 0.000 0.864 0.008 0.008 0.064 0.056
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.3546 0.67142 0.000 0.828 0.096 0.004 0.052 0.020
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.3110 0.75695 0.000 0.000 0.000 0.196 0.792 0.012
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.3716 0.52578 0.016 0.000 0.000 0.780 0.176 0.028
#> C3921A29-80FF-4B9D-B366-5C0238A42231 5 0.4675 0.72990 0.000 0.028 0.064 0.052 0.772 0.084
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.3840 0.75248 0.696 0.000 0.000 0.284 0.000 0.020
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.2964 0.48923 0.000 0.004 0.848 0.000 0.040 0.108
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 3 0.3464 0.53507 0.000 0.312 0.688 0.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 3 0.3634 0.49218 0.000 0.356 0.644 0.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.5683 0.39496 0.000 0.000 0.000 0.492 0.336 0.172
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.3204 0.48171 0.000 0.004 0.832 0.000 0.052 0.112
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.2964 0.49081 0.000 0.004 0.848 0.000 0.040 0.108
#> CED15676-B901-4FC8-9C8D-51E529D9441D 4 0.5847 0.37074 0.140 0.000 0.000 0.596 0.040 0.224
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.4169 0.43569 0.000 0.008 0.760 0.000 0.116 0.116
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 3 0.3515 0.52705 0.000 0.324 0.676 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 4 0.2449 0.51964 0.020 0.000 0.000 0.888 0.080 0.012
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.3031 0.48725 0.000 0.004 0.844 0.000 0.044 0.108
#> 2E24A786-4370-42A1-AD50-D651F89819CC 3 0.3464 0.53507 0.000 0.312 0.688 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0146 0.69397 0.996 0.000 0.000 0.000 0.000 0.004
#> 7A110994-5741-4013-91F0-DD2E1D343F91 3 0.3508 0.54295 0.000 0.292 0.704 0.000 0.004 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 4 0.2449 0.51964 0.020 0.000 0.000 0.888 0.080 0.012
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 3 0.3563 0.51807 0.000 0.336 0.664 0.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 4 0.6697 -0.12413 0.272 0.000 0.012 0.404 0.016 0.296
#> BD50E276-914F-4924-8CEA-FF47A66DB175 3 0.3464 0.53507 0.000 0.312 0.688 0.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 3 0.3647 0.48983 0.000 0.360 0.640 0.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 3 0.3499 0.53055 0.000 0.320 0.680 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0146 0.69397 0.996 0.000 0.000 0.000 0.000 0.004
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 4 0.4371 0.52286 0.020 0.000 0.000 0.720 0.216 0.044
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.5645 0.42279 0.000 0.000 0.000 0.508 0.320 0.172
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 4 0.5776 0.36691 0.124 0.000 0.000 0.600 0.040 0.236
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 6 0.6034 0.37912 0.000 0.412 0.000 0.112 0.032 0.444
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.5353 0.44246 0.008 0.000 0.008 0.636 0.124 0.224
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 4 0.6094 0.36979 0.008 0.004 0.000 0.480 0.320 0.188
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.6491 0.16403 0.000 0.024 0.424 0.000 0.260 0.292
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.6219 -0.22735 0.352 0.000 0.012 0.480 0.016 0.140
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 4 0.2162 0.52300 0.012 0.000 0.000 0.896 0.088 0.004
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.2994 0.51255 0.000 0.000 0.000 0.788 0.208 0.004
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 4 0.4076 -0.00874 0.000 0.000 0.000 0.540 0.452 0.008
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.3936 0.75043 0.688 0.000 0.000 0.288 0.000 0.024
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.3840 0.75248 0.696 0.000 0.000 0.284 0.000 0.020
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 3 0.3531 0.52486 0.000 0.328 0.672 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.6503 0.13830 0.000 0.020 0.428 0.004 0.320 0.228
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.6560 0.55373 0.004 0.312 0.000 0.176 0.040 0.468
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.6035 0.19069 0.148 0.004 0.004 0.524 0.012 0.308
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.3019 0.60515 0.000 0.864 0.008 0.008 0.064 0.056
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.2006 0.72830 0.892 0.000 0.000 0.104 0.000 0.004
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 3 0.3464 0.53507 0.000 0.312 0.688 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 6 0.4633 0.53411 0.032 0.008 0.004 0.256 0.012 0.688
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.5278 0.52444 0.000 0.636 0.256 0.000 0.072 0.036
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.5706 0.37264 0.000 0.000 0.000 0.480 0.348 0.172
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 6 0.7297 0.35591 0.300 0.060 0.008 0.256 0.004 0.372
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0146 0.69397 0.996 0.000 0.000 0.000 0.000 0.004
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0146 0.69397 0.996 0.000 0.000 0.000 0.000 0.004
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.4109 0.72350 0.648 0.000 0.000 0.328 0.000 0.024
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.3936 0.75043 0.688 0.000 0.000 0.288 0.000 0.024
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 4 0.5901 0.35583 0.184 0.000 0.000 0.596 0.040 0.180
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.6245 -0.21760 0.000 0.016 0.000 0.380 0.408 0.196
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.3864 -0.10797 0.000 0.520 0.480 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.5278 0.52444 0.000 0.636 0.256 0.000 0.072 0.036
#> E9C28902-05C9-4883-97A4-D612D54E46B4 5 0.1471 0.81759 0.000 0.000 0.000 0.064 0.932 0.004
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 4 0.4361 0.52121 0.020 0.000 0.000 0.716 0.224 0.040
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.3758 0.64823 0.000 0.772 0.176 0.000 0.048 0.004
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 3 0.3672 0.47194 0.000 0.368 0.632 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.4400 0.58045 0.000 0.780 0.064 0.020 0.028 0.108
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.5500 0.44822 0.004 0.000 0.008 0.612 0.160 0.216
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 5 0.1194 0.81676 0.000 0.000 0.004 0.032 0.956 0.008
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.5378 -0.10618 0.000 0.548 0.000 0.044 0.040 0.368
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.5682 0.54373 0.000 0.668 0.148 0.020 0.040 0.124
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0146 0.69397 0.996 0.000 0.000 0.000 0.000 0.004
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.1194 0.81676 0.000 0.000 0.004 0.032 0.956 0.008
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0363 0.70136 0.988 0.000 0.000 0.012 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.4920 0.65878 0.592 0.004 0.004 0.352 0.004 0.044
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.3472 0.63730 0.000 0.844 0.032 0.008 0.060 0.056
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.1667 0.79641 0.000 0.008 0.044 0.004 0.936 0.008
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.4011 0.74189 0.672 0.000 0.000 0.304 0.000 0.024
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.3969 0.55644 0.000 0.808 0.032 0.020 0.032 0.108
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.3816 0.74707 0.688 0.000 0.000 0.296 0.000 0.016
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 17377 rows and 265 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 0.981 0.992 0.4950 0.506 0.506
#> 3 3 0.756 0.826 0.873 0.3288 0.724 0.506
#> 4 4 0.799 0.858 0.919 0.1054 0.818 0.539
#> 5 5 0.763 0.743 0.839 0.0755 0.865 0.563
#> 6 6 0.769 0.674 0.817 0.0475 0.941 0.737
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.994 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.991 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.994 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.994 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.991 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.994 0.000 1.000
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#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0000 0.991 1.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 2 0.0000 0.994 0.000 1.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.994 0.000 1.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.991 1.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.0000 0.994 0.000 1.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.994 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.991 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.994 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.991 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.994 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.0000 0.991 1.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.994 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.994 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.994 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.991 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.991 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0000 0.991 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.0000 0.991 1.000 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.994 0.000 1.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.991 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.0000 0.991 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 2 0.0000 0.994 0.000 1.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0000 0.991 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.991 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.991 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.991 1.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.991 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.991 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.994 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.0000 0.994 0.000 1.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 1 0.0000 0.991 1.000 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0000 0.991 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.994 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.991 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.994 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.0000 0.991 1.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.994 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.991 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.0000 0.991 1.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.991 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.991 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.991 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.991 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.991 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.991 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.994 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.994 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 2 0.6887 0.772 0.184 0.816
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.991 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.994 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.994 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.994 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.991 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 2 0.0000 0.994 0.000 1.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.994 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.994 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.991 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 2 0.9323 0.464 0.348 0.652
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.991 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.991 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.994 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 2 0.0000 0.994 0.000 1.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.991 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.994 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.991 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9170 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 3 0.1860 0.8916 0.052 0.000 0.948
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9170 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9170 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.3340 0.8186 0.880 0.000 0.120
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9170 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.4346 0.7538 0.184 0.000 0.816
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9170 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9170 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 3 0.2356 0.8795 0.072 0.000 0.928
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.0000 0.9164 0.000 0.000 1.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9170 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9170 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.8994 1.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.9170 0.000 1.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.8994 1.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 3 0.0000 0.9164 0.000 0.000 1.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.6140 0.1725 0.000 0.404 0.596
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.5835 0.5552 0.660 0.000 0.340
#> 45F15851-55F6-4169-834E-38958C38B6A9 3 0.0000 0.9164 0.000 0.000 1.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0000 0.8994 1.000 0.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.8994 1.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 3 0.0000 0.9164 0.000 0.000 1.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.1753 0.8702 0.952 0.000 0.048
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9170 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9170 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 3 0.0000 0.9164 0.000 0.000 1.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.3941 0.7870 0.844 0.000 0.156
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 3 0.2356 0.8795 0.072 0.000 0.928
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.8994 1.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.0000 0.9164 0.000 0.000 1.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.5988 0.4988 0.632 0.000 0.368
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.8994 1.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 3 0.1643 0.8960 0.044 0.000 0.956
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9170 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 3 0.0000 0.9164 0.000 0.000 1.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 1 0.0000 0.8994 1.000 0.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.0000 0.8994 1.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.6274 0.2566 0.544 0.000 0.456
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.8994 1.000 0.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.6215 0.3911 0.000 0.572 0.428
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9170 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.2448 0.8761 0.076 0.000 0.924
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.6225 0.0694 0.000 0.432 0.568
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.9170 0.000 1.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9170 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.6095 0.1915 0.000 0.392 0.608
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.2537 0.8725 0.080 0.000 0.920
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.8994 1.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.6244 0.2082 0.000 0.560 0.440
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 3 0.0000 0.9164 0.000 0.000 1.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.8994 1.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.6062 0.4620 0.616 0.000 0.384
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.0000 0.9164 0.000 0.000 1.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 3 0.2356 0.8795 0.072 0.000 0.928
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 3 0.5178 0.6367 0.256 0.000 0.744
#> B344A530-92CD-468B-847A-DF8E25688081 2 0.4452 0.7851 0.000 0.808 0.192
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 3 0.0000 0.9164 0.000 0.000 1.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 3 0.0000 0.9164 0.000 0.000 1.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.9170 0.000 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9170 0.000 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9170 0.000 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.8994 1.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 3 0.4235 0.7645 0.176 0.000 0.824
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.5905 0.5321 0.648 0.000 0.352
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.5465 0.5716 0.288 0.000 0.712
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 3 0.0000 0.9164 0.000 0.000 1.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.5465 0.5717 0.288 0.000 0.712
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 3 0.0000 0.9164 0.000 0.000 1.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 3 0.2356 0.8795 0.072 0.000 0.928
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.6309 0.1244 0.504 0.000 0.496
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.5497 0.6313 0.708 0.000 0.292
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.9170 0.000 1.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.5706 0.5225 0.000 0.680 0.320
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 3 0.0000 0.9164 0.000 0.000 1.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9170 0.000 1.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 3 0.5098 0.6519 0.248 0.000 0.752
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 2 0.4291 0.7967 0.000 0.820 0.180
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.8994 1.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.8994 1.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.9170 0.000 1.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 2 0.6225 0.3815 0.000 0.568 0.432
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.8994 1.000 0.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 3 0.2356 0.8795 0.072 0.000 0.928
#> CD6F9E20-B301-4663-87EC-953EDF49754F 2 0.2537 0.8728 0.000 0.920 0.080
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 3 0.0000 0.9164 0.000 0.000 1.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.8994 1.000 0.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9170 0.000 1.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9170 0.000 1.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.8994 1.000 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.8994 1.000 0.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 3 0.0000 0.9164 0.000 0.000 1.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.0000 0.9164 0.000 0.000 1.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.9170 0.000 1.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 3 0.4399 0.7484 0.188 0.000 0.812
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 3 0.0000 0.9164 0.000 0.000 1.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.8994 1.000 0.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 3 0.0000 0.9164 0.000 0.000 1.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 3 0.2356 0.8795 0.072 0.000 0.928
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 3 0.0000 0.9164 0.000 0.000 1.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 3 0.0000 0.9164 0.000 0.000 1.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.9170 0.000 1.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 2 0.6274 0.3184 0.000 0.544 0.456
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.8994 1.000 0.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.9170 0.000 1.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0000 0.9164 0.000 0.000 1.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 2 0.4555 0.7763 0.000 0.800 0.200
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 3 0.0000 0.9164 0.000 0.000 1.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 2 0.6215 0.3914 0.000 0.572 0.428
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.8994 1.000 0.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.9170 0.000 1.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 3 0.0000 0.9164 0.000 0.000 1.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 3 0.2356 0.8795 0.072 0.000 0.928
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.8994 1.000 0.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 2 0.4291 0.7967 0.000 0.820 0.180
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 3 0.0000 0.9164 0.000 0.000 1.000
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.0000 0.9164 0.000 0.000 1.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.4346 0.7538 0.184 0.000 0.816
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 3 0.0000 0.9164 0.000 0.000 1.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 3 0.0000 0.9164 0.000 0.000 1.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 3 0.0000 0.9164 0.000 0.000 1.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.4002 0.7831 0.840 0.000 0.160
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 3 0.4346 0.7538 0.184 0.000 0.816
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.9170 0.000 1.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 2 0.4399 0.7892 0.000 0.812 0.188
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.0000 0.8994 1.000 0.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.5650 0.6013 0.688 0.000 0.312
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.9170 0.000 1.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 1 0.0000 0.8994 1.000 0.000 0.000
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.9170 0.000 1.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.0000 0.9164 0.000 0.000 1.000
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.9170 0.000 1.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.8994 1.000 0.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.9170 0.000 1.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.9170 0.000 1.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.5431 0.6421 0.716 0.000 0.284
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.9170 0.000 1.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 3 0.0000 0.9164 0.000 0.000 1.000
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.9170 0.000 1.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 2 0.4399 0.7892 0.000 0.812 0.188
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 2 0.4452 0.7851 0.000 0.808 0.192
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 3 0.0000 0.9164 0.000 0.000 1.000
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.9170 0.000 1.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 3 0.0000 0.9164 0.000 0.000 1.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 3 0.2356 0.8795 0.072 0.000 0.928
#> 0E22B729-C381-4B0C-9897-62DD38F51722 3 0.0000 0.9164 0.000 0.000 1.000
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.8994 1.000 0.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.5810 0.5624 0.664 0.000 0.336
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.5529 0.6250 0.704 0.000 0.296
#> A68B078D-8979-4070-BB4D-F526704ED3DC 3 0.5397 0.5890 0.280 0.000 0.720
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 3 0.0000 0.9164 0.000 0.000 1.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.8994 1.000 0.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 2 0.5988 0.5213 0.000 0.632 0.368
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 3 0.0000 0.9164 0.000 0.000 1.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 3 0.2356 0.8795 0.072 0.000 0.928
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 3 0.3340 0.7965 0.000 0.120 0.880
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 3 0.0000 0.9164 0.000 0.000 1.000
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 3 0.0000 0.9164 0.000 0.000 1.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 2 0.4399 0.7892 0.000 0.812 0.188
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.0000 0.8994 1.000 0.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.9170 0.000 1.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.9170 0.000 1.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.8994 1.000 0.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.0000 0.9164 0.000 0.000 1.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.4796 0.7212 0.780 0.000 0.220
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.5968 0.5074 0.636 0.000 0.364
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.5882 0.5400 0.652 0.000 0.348
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 2 0.6309 0.1972 0.000 0.504 0.496
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.9170 0.000 1.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.9170 0.000 1.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.0000 0.9164 0.000 0.000 1.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 3 0.0000 0.9164 0.000 0.000 1.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.9170 0.000 1.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.8994 1.000 0.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 3 0.6308 -0.0966 0.492 0.000 0.508
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.9170 0.000 1.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.8994 1.000 0.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 3 0.0000 0.9164 0.000 0.000 1.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.8994 1.000 0.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.9170 0.000 1.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9170 0.000 1.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 3 0.0000 0.9164 0.000 0.000 1.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.9170 0.000 1.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 3 0.0000 0.9164 0.000 0.000 1.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 3 0.0000 0.9164 0.000 0.000 1.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 1 0.1753 0.8702 0.952 0.000 0.048
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 3 0.0000 0.9164 0.000 0.000 1.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 3 0.0000 0.9164 0.000 0.000 1.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.4062 0.7714 0.000 0.836 0.164
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.9170 0.000 1.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 3 0.0000 0.9164 0.000 0.000 1.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 3 0.2356 0.8795 0.072 0.000 0.928
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.0000 0.9164 0.000 0.000 1.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.8994 1.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 2 0.4178 0.8036 0.000 0.828 0.172
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.9170 0.000 1.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9170 0.000 1.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 3 0.0000 0.9164 0.000 0.000 1.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 2 0.5988 0.5213 0.000 0.632 0.368
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 2 0.4346 0.7930 0.000 0.816 0.184
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.6308 0.1396 0.508 0.000 0.492
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.5621 0.4575 0.000 0.308 0.692
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9170 0.000 1.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.8994 1.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.4399 0.7892 0.000 0.812 0.188
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9170 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.8994 1.000 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.9170 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.4654 0.7360 0.792 0.000 0.208
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9170 0.000 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.0000 0.8994 1.000 0.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9170 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9170 0.000 1.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9170 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.8994 1.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 3 0.2356 0.8795 0.072 0.000 0.928
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 3 0.0000 0.9164 0.000 0.000 1.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.4291 0.7592 0.180 0.000 0.820
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9170 0.000 1.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.5810 0.5619 0.664 0.000 0.336
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.1860 0.8916 0.052 0.000 0.948
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0424 0.9102 0.000 0.008 0.992
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0000 0.8994 1.000 0.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.8994 1.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 3 0.2356 0.8795 0.072 0.000 0.928
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 3 0.0000 0.9164 0.000 0.000 1.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.8994 1.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.8994 1.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9170 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.6291 0.2845 0.000 0.532 0.468
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 3 0.4346 0.7538 0.184 0.000 0.816
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.5810 0.5624 0.664 0.000 0.336
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9170 0.000 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.8994 1.000 0.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9170 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.4346 0.7538 0.184 0.000 0.816
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.2356 0.8777 0.000 0.928 0.072
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 3 0.0000 0.9164 0.000 0.000 1.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.0000 0.8994 1.000 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.8994 1.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.8994 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.8994 1.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.8994 1.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.8994 1.000 0.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 3 0.0000 0.9164 0.000 0.000 1.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9170 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 3 0.5968 0.3558 0.000 0.364 0.636
#> E9C28902-05C9-4883-97A4-D612D54E46B4 3 0.0000 0.9164 0.000 0.000 1.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 3 0.1643 0.8960 0.044 0.000 0.956
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9170 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9170 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9170 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 3 0.2356 0.8795 0.072 0.000 0.928
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.0000 0.9164 0.000 0.000 1.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.4504 0.7296 0.000 0.804 0.196
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9170 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.8994 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.0000 0.9164 0.000 0.000 1.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.8994 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.8994 1.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.5098 0.6854 0.000 0.752 0.248
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.0000 0.9164 0.000 0.000 1.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.8994 1.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9170 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.8994 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.1302 0.942 0.000 0.956 0.044 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 4 0.0000 0.907 0.000 0.000 0.000 1.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.1211 0.943 0.000 0.960 0.040 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0469 0.936 0.000 0.988 0.012 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.4959 0.700 0.196 0.000 0.052 0.752
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.940 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.1474 0.897 0.000 0.000 0.052 0.948
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.940 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.1302 0.942 0.000 0.956 0.044 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 4 0.0000 0.907 0.000 0.000 0.000 1.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.4967 0.238 0.000 0.000 0.548 0.452
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.1302 0.942 0.000 0.956 0.044 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.940 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.4985 0.155 0.000 0.532 0.468 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 4 0.0188 0.907 0.000 0.000 0.004 0.996
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.2363 0.859 0.000 0.056 0.920 0.024
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 4 0.2399 0.883 0.032 0.000 0.048 0.920
#> 45F15851-55F6-4169-834E-38958C38B6A9 4 0.3444 0.761 0.000 0.000 0.184 0.816
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.0336 0.907 0.000 0.000 0.008 0.992
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.6158 0.592 0.628 0.000 0.080 0.292
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#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 4 0.0592 0.904 0.000 0.000 0.016 0.984
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.0188 0.907 0.000 0.000 0.004 0.996
#> C3921A29-80FF-4B9D-B366-5C0238A42231 4 0.4972 0.101 0.000 0.000 0.456 0.544
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.2469 0.841 0.000 0.108 0.892 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.1302 0.942 0.000 0.956 0.044 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.1302 0.942 0.000 0.956 0.044 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.0336 0.907 0.000 0.000 0.008 0.992
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.2197 0.857 0.000 0.080 0.916 0.004
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.2469 0.841 0.000 0.108 0.892 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 4 0.2089 0.890 0.020 0.000 0.048 0.932
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.2363 0.851 0.000 0.024 0.920 0.056
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.1302 0.942 0.000 0.956 0.044 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.2408 0.845 0.000 0.104 0.896 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.1302 0.942 0.000 0.956 0.044 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.1302 0.942 0.000 0.956 0.044 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 4 0.1792 0.883 0.068 0.000 0.000 0.932
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.1302 0.942 0.000 0.956 0.044 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.5035 0.742 0.748 0.000 0.056 0.196
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.1302 0.942 0.000 0.956 0.044 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.1118 0.943 0.000 0.964 0.036 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.1302 0.942 0.000 0.956 0.044 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 4 0.0000 0.907 0.000 0.000 0.000 1.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.0336 0.907 0.000 0.000 0.008 0.992
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 4 0.1557 0.896 0.000 0.000 0.056 0.944
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.2081 0.880 0.000 0.916 0.084 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.2759 0.874 0.044 0.000 0.052 0.904
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 4 0.1474 0.897 0.000 0.000 0.052 0.948
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.1661 0.827 0.000 0.004 0.944 0.052
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.3505 0.842 0.864 0.000 0.048 0.088
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.3975 0.719 0.760 0.000 0.000 0.240
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.0188 0.907 0.000 0.000 0.004 0.996
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 4 0.0592 0.906 0.000 0.000 0.016 0.984
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.2831 0.842 0.876 0.000 0.004 0.120
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.1302 0.942 0.000 0.956 0.044 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.2197 0.857 0.000 0.080 0.916 0.004
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 4 0.3333 0.854 0.000 0.040 0.088 0.872
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.2751 0.875 0.040 0.000 0.056 0.904
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.1118 0.923 0.000 0.964 0.036 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.1302 0.942 0.000 0.956 0.044 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 4 0.2011 0.885 0.000 0.000 0.080 0.920
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.3726 0.688 0.000 0.788 0.212 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0336 0.907 0.000 0.000 0.008 0.992
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.5091 0.752 0.752 0.000 0.068 0.180
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.5067 0.726 0.736 0.000 0.048 0.216
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.0000 0.907 0.000 0.000 0.000 1.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.940 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.6664 0.405 0.000 0.616 0.232 0.152
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.3569 0.751 0.000 0.000 0.196 0.804
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 4 0.0188 0.907 0.000 0.000 0.004 0.996
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.940 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.1211 0.943 0.000 0.960 0.040 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.940 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.1022 0.904 0.000 0.000 0.032 0.968
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.4431 0.564 0.000 0.000 0.304 0.696
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.2644 0.874 0.000 0.908 0.060 0.032
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.940 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.4164 0.645 0.000 0.000 0.264 0.736
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.2589 0.856 0.000 0.884 0.116 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.4250 0.664 0.000 0.000 0.724 0.276
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0817 0.929 0.000 0.976 0.024 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.926 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0794 0.8908 0.000 0.972 0.028 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.4273 0.4772 0.000 0.000 0.000 0.448 0.552
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0794 0.8908 0.000 0.972 0.028 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.3365 0.8597 0.000 0.808 0.008 0.004 0.180
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.3090 0.7007 0.104 0.000 0.000 0.856 0.040
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.3231 0.8586 0.000 0.800 0.004 0.000 0.196
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.1410 0.7138 0.000 0.000 0.000 0.940 0.060
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.3455 0.8525 0.000 0.784 0.008 0.000 0.208
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0794 0.8908 0.000 0.972 0.028 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.4294 0.4194 0.000 0.000 0.000 0.468 0.532
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.4495 0.6532 0.000 0.000 0.200 0.064 0.736
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0794 0.8908 0.000 0.972 0.028 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.3455 0.8525 0.000 0.784 0.008 0.000 0.208
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 3 0.4088 0.3740 0.000 0.368 0.632 0.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0510 0.9561 0.984 0.000 0.000 0.016 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.3452 0.7941 0.000 0.000 0.000 0.244 0.756
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0880 0.9020 0.000 0.000 0.968 0.000 0.032
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 4 0.1270 0.7204 0.000 0.000 0.000 0.948 0.052
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.3639 0.8103 0.000 0.000 0.024 0.184 0.792
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.3684 0.7775 0.000 0.000 0.000 0.280 0.720
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 4 0.2891 0.6460 0.176 0.000 0.000 0.824 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.2011 0.8810 0.000 0.908 0.004 0.000 0.088
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.3266 0.8577 0.000 0.796 0.004 0.000 0.200
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.3639 0.8103 0.000 0.000 0.024 0.184 0.792
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.2588 0.7142 0.060 0.000 0.000 0.892 0.048
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 5 0.3424 0.7939 0.000 0.000 0.000 0.240 0.760
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.4201 0.4134 0.000 0.000 0.592 0.000 0.408
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 4 0.4201 0.0332 0.000 0.000 0.000 0.592 0.408
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 5 0.4088 0.6443 0.000 0.000 0.000 0.368 0.632
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0807 0.8913 0.000 0.976 0.012 0.000 0.012
#> E7AA12EE-6E14-4B33-A52C-B13589436023 5 0.3462 0.8110 0.000 0.000 0.012 0.196 0.792
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 4 0.3274 0.5904 0.220 0.000 0.000 0.780 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 4 0.3003 0.6193 0.188 0.000 0.000 0.812 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 4 0.0162 0.7158 0.000 0.000 0.000 0.996 0.004
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.4045 0.3796 0.356 0.000 0.000 0.644 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0880 0.9020 0.000 0.000 0.968 0.000 0.032
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.3732 0.8487 0.000 0.776 0.008 0.008 0.208
#> 619F37D2-6771-4727-9079-56BED07F1CF6 4 0.0000 0.7154 0.000 0.000 0.000 1.000 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0963 0.9011 0.000 0.000 0.964 0.000 0.036
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.2516 0.7970 0.000 0.860 0.140 0.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0794 0.8908 0.000 0.972 0.028 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0880 0.9020 0.000 0.000 0.968 0.000 0.032
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 4 0.1121 0.7219 0.000 0.000 0.000 0.956 0.044
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 4 0.6671 0.0617 0.000 0.292 0.008 0.492 0.208
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.3999 0.1751 0.000 0.000 0.000 0.656 0.344
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 4 0.4150 0.1127 0.000 0.000 0.000 0.612 0.388
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.4337 0.7968 0.000 0.000 0.052 0.204 0.744
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 5 0.3837 0.7413 0.000 0.000 0.000 0.308 0.692
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.4305 0.3569 0.000 0.000 0.000 0.488 0.512
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0451 0.8988 0.000 0.004 0.988 0.000 0.008
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 5 0.3586 0.8108 0.000 0.000 0.020 0.188 0.792
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 5 0.3462 0.8110 0.000 0.000 0.012 0.196 0.792
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.3631 0.8526 0.000 0.788 0.008 0.008 0.196
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.3732 0.8487 0.000 0.776 0.008 0.008 0.208
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.4436 0.8299 0.000 0.744 0.008 0.040 0.208
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 4 0.4294 -0.2188 0.000 0.000 0.000 0.532 0.468
#> 96038E42-0FBA-497D-819C-38F7689F10FF 4 0.4201 0.0332 0.000 0.000 0.000 0.592 0.408
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.1043 0.7223 0.000 0.000 0.000 0.960 0.040
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 5 0.3639 0.8103 0.000 0.000 0.024 0.184 0.792
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 4 0.1121 0.7219 0.000 0.000 0.000 0.956 0.044
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 5 0.3639 0.8103 0.000 0.000 0.024 0.184 0.792
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.4306 0.3576 0.000 0.000 0.000 0.492 0.508
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 4 0.4201 0.0332 0.000 0.000 0.000 0.592 0.408
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 4 0.1282 0.7229 0.004 0.000 0.000 0.952 0.044
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0794 0.8908 0.000 0.972 0.028 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 4 0.6298 0.2832 0.000 0.212 0.008 0.572 0.208
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 4 0.4836 0.3370 0.000 0.012 0.008 0.568 0.412
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0162 0.8905 0.000 0.996 0.000 0.000 0.004
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.1197 0.7210 0.000 0.000 0.000 0.952 0.048
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0609 0.8906 0.000 0.020 0.980 0.000 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0162 0.9632 0.996 0.000 0.000 0.004 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.3013 0.8666 0.000 0.832 0.008 0.000 0.160
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#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.4133 0.8342 0.000 0.768 0.052 0.000 0.180
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 5 0.3837 0.7560 0.000 0.000 0.000 0.308 0.692
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 4 0.3039 0.6172 0.192 0.000 0.000 0.808 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0290 0.9613 0.992 0.000 0.000 0.008 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 4 0.3988 0.6423 0.196 0.000 0.000 0.768 0.036
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.4297 0.4612 0.000 0.000 0.000 0.472 0.528
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0162 0.8905 0.000 0.996 0.000 0.000 0.004
#> 019B857C-D4F7-4B67-B699-56E52A60805B 5 0.6256 -0.3447 0.000 0.404 0.032 0.068 0.496
#> E9C28902-05C9-4883-97A4-D612D54E46B4 5 0.3675 0.8099 0.000 0.000 0.024 0.188 0.788
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.3480 0.7887 0.000 0.000 0.000 0.248 0.752
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.3333 0.8543 0.000 0.788 0.004 0.000 0.208
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0794 0.8908 0.000 0.972 0.028 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.2806 0.8712 0.000 0.844 0.004 0.000 0.152
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.3480 0.4680 0.000 0.000 0.000 0.752 0.248
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 5 0.4449 0.7788 0.000 0.000 0.080 0.168 0.752
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.5453 0.7681 0.000 0.672 0.008 0.112 0.208
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.2389 0.8777 0.000 0.880 0.004 0.000 0.116
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.4313 0.7866 0.000 0.000 0.068 0.172 0.760
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0162 0.9632 0.996 0.000 0.000 0.004 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.4726 0.8100 0.000 0.716 0.008 0.048 0.228
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.4562 0.4830 0.000 0.000 0.292 0.032 0.676
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0609 0.9533 0.980 0.000 0.000 0.020 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.3611 0.8507 0.000 0.780 0.008 0.004 0.208
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9647 1.000 0.000 0.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0922 0.79118 0.000 0.968 0.004 0.024 0.000 0.004
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.4541 0.22928 0.000 0.000 0.000 0.360 0.596 0.044
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.80224 0.000 1.000 0.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.4294 -0.33474 0.000 0.552 0.000 0.020 0.000 0.428
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.2811 0.75704 0.032 0.000 0.000 0.872 0.020 0.076
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.3993 -0.43239 0.000 0.520 0.000 0.004 0.000 0.476
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.1934 0.75966 0.000 0.000 0.000 0.916 0.044 0.040
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 6 0.3868 0.46604 0.000 0.496 0.000 0.000 0.000 0.504
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.1036 0.78811 0.000 0.964 0.008 0.024 0.000 0.004
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.4466 0.27371 0.000 0.000 0.000 0.336 0.620 0.044
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.2489 0.79419 0.000 0.000 0.012 0.000 0.860 0.128
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.80224 0.000 1.000 0.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.4185 -0.48179 0.000 0.496 0.000 0.012 0.000 0.492
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0632 0.91894 0.976 0.000 0.000 0.000 0.000 0.024
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 3 0.4260 0.44678 0.000 0.332 0.640 0.024 0.000 0.004
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.2685 0.87312 0.868 0.000 0.000 0.072 0.000 0.060
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.1765 0.79337 0.000 0.000 0.000 0.052 0.924 0.024
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0260 0.92604 0.000 0.000 0.992 0.000 0.000 0.008
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 4 0.2129 0.75881 0.000 0.000 0.000 0.904 0.040 0.056
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.0405 0.79991 0.000 0.000 0.004 0.000 0.988 0.008
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0632 0.91894 0.976 0.000 0.000 0.000 0.000 0.024
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0458 0.92583 0.984 0.000 0.000 0.000 0.000 0.016
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.4209 0.74857 0.000 0.000 0.000 0.104 0.736 0.160
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 4 0.4270 0.63624 0.052 0.000 0.000 0.684 0.000 0.264
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.3259 0.45442 0.000 0.772 0.000 0.012 0.000 0.216
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.4161 -0.34337 0.000 0.540 0.000 0.012 0.000 0.448
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.0405 0.79991 0.000 0.000 0.004 0.000 0.988 0.008
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.2647 0.75200 0.000 0.000 0.000 0.868 0.044 0.088
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 5 0.1934 0.75984 0.000 0.000 0.000 0.040 0.916 0.044
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.92699 1.000 0.000 0.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 5 0.5268 0.42172 0.000 0.000 0.300 0.000 0.572 0.128
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 4 0.4919 0.40686 0.000 0.000 0.000 0.544 0.388 0.068
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.92699 1.000 0.000 0.000 0.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 5 0.3066 0.67784 0.000 0.000 0.000 0.124 0.832 0.044
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.1049 0.78519 0.000 0.960 0.000 0.008 0.000 0.032
#> E7AA12EE-6E14-4B33-A52C-B13589436023 5 0.0260 0.79920 0.000 0.000 0.000 0.000 0.992 0.008
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 4 0.4312 0.63546 0.052 0.000 0.000 0.676 0.000 0.272
#> 655BD3AF-5094-4B19-93A8-401C70369B17 4 0.4089 0.64489 0.040 0.000 0.000 0.696 0.000 0.264
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 4 0.3956 0.67855 0.000 0.000 0.000 0.712 0.036 0.252
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 4 0.3500 0.61496 0.204 0.000 0.000 0.768 0.000 0.028
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0260 0.92604 0.000 0.000 0.992 0.000 0.000 0.008
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 6 0.3868 0.46604 0.000 0.496 0.000 0.000 0.000 0.504
#> 619F37D2-6771-4727-9079-56BED07F1CF6 4 0.3909 0.67381 0.000 0.000 0.000 0.720 0.036 0.244
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0260 0.92604 0.000 0.000 0.992 0.000 0.000 0.008
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.1844 0.74169 0.000 0.924 0.048 0.024 0.000 0.004
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.80224 0.000 1.000 0.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0260 0.92604 0.000 0.000 0.992 0.000 0.000 0.008
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 4 0.1865 0.76059 0.000 0.000 0.000 0.920 0.040 0.040
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.92699 1.000 0.000 0.000 0.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 6 0.3956 0.50116 0.000 0.088 0.000 0.152 0.000 0.760
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.4389 0.48210 0.000 0.000 0.000 0.660 0.288 0.052
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0146 0.92614 0.996 0.000 0.000 0.000 0.000 0.004
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 4 0.4903 0.42256 0.000 0.000 0.000 0.552 0.380 0.068
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.3433 0.78965 0.000 0.000 0.012 0.040 0.816 0.132
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 5 0.5289 0.46726 0.000 0.000 0.000 0.288 0.576 0.136
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 4 0.4990 0.26962 0.000 0.000 0.000 0.480 0.452 0.068
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0146 0.92575 0.000 0.000 0.996 0.000 0.000 0.004
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 5 0.0260 0.79920 0.000 0.000 0.000 0.000 0.992 0.008
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 5 0.0260 0.79920 0.000 0.000 0.000 0.000 0.992 0.008
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.4322 -0.40127 0.000 0.528 0.000 0.020 0.000 0.452
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 6 0.3868 0.47056 0.000 0.492 0.000 0.000 0.000 0.508
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 6 0.3578 0.56536 0.000 0.340 0.000 0.000 0.000 0.660
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.92699 1.000 0.000 0.000 0.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 4 0.4939 0.30764 0.000 0.000 0.000 0.496 0.440 0.064
#> 96038E42-0FBA-497D-819C-38F7689F10FF 4 0.4946 0.38273 0.000 0.000 0.000 0.528 0.404 0.068
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.2308 0.75684 0.000 0.000 0.000 0.892 0.040 0.068
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 5 0.0405 0.79991 0.000 0.000 0.004 0.000 0.988 0.008
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 4 0.2001 0.75970 0.000 0.000 0.000 0.912 0.040 0.048
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 5 0.0508 0.80087 0.000 0.000 0.004 0.000 0.984 0.012
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.4641 0.10469 0.000 0.000 0.000 0.404 0.552 0.044
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 4 0.4946 0.38273 0.000 0.000 0.000 0.528 0.404 0.068
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 4 0.1480 0.76231 0.000 0.000 0.000 0.940 0.040 0.020
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0632 0.79885 0.000 0.976 0.000 0.024 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 6 0.3558 0.42568 0.000 0.028 0.000 0.212 0.000 0.760
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 6 0.4254 0.24017 0.000 0.000 0.000 0.272 0.048 0.680
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0363 0.79907 0.000 0.988 0.000 0.012 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.2003 0.75990 0.000 0.000 0.000 0.912 0.044 0.044
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0291 0.92491 0.000 0.004 0.992 0.000 0.000 0.004
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.92699 1.000 0.000 0.000 0.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.1794 0.90662 0.924 0.000 0.000 0.040 0.000 0.036
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.4283 -0.18421 0.000 0.592 0.000 0.024 0.000 0.384
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 3 0.5744 0.17575 0.000 0.000 0.504 0.012 0.356 0.128
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.1261 0.91941 0.952 0.000 0.000 0.024 0.000 0.024
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 5 0.1789 0.76489 0.000 0.000 0.000 0.032 0.924 0.044
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0291 0.92491 0.000 0.004 0.992 0.000 0.000 0.004
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 5 0.3356 0.77654 0.000 0.000 0.052 0.000 0.808 0.140
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.5316 0.67246 0.688 0.000 0.000 0.132 0.112 0.068
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.80224 0.000 1.000 0.000 0.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.80224 0.000 1.000 0.000 0.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.92699 1.000 0.000 0.000 0.000 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.5354 0.55025 0.632 0.000 0.000 0.244 0.028 0.096
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.0508 0.80299 0.000 0.000 0.004 0.000 0.984 0.012
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.0713 0.91418 0.000 0.000 0.972 0.000 0.000 0.028
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.4361 -0.32781 0.000 0.552 0.000 0.024 0.000 0.424
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.2001 0.76063 0.000 0.000 0.000 0.912 0.040 0.048
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 5 0.5180 0.62930 0.000 0.000 0.000 0.220 0.616 0.164
#> 317CD049-3151-40B7-8E88-B0B8813338D6 4 0.5360 0.67823 0.084 0.000 0.000 0.688 0.116 0.112
#> 93835C77-F8FA-4928-843C-8016A91881FA 5 0.0260 0.79920 0.000 0.000 0.000 0.000 0.992 0.008
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 5 0.2070 0.75399 0.000 0.000 0.000 0.044 0.908 0.048
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 5 0.0405 0.79991 0.000 0.000 0.004 0.000 0.988 0.008
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.0837 0.80240 0.000 0.000 0.004 0.004 0.972 0.020
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.1151 0.78366 0.000 0.956 0.000 0.012 0.000 0.032
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0260 0.92604 0.000 0.000 0.992 0.000 0.000 0.008
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0891 0.92375 0.968 0.000 0.000 0.008 0.000 0.024
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 6 0.3868 0.46604 0.000 0.496 0.000 0.000 0.000 0.504
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0935 0.91100 0.000 0.000 0.964 0.004 0.000 0.032
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0000 0.92623 0.000 0.000 1.000 0.000 0.000 0.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 5 0.2191 0.79668 0.000 0.000 0.004 0.000 0.876 0.120
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0260 0.92604 0.000 0.000 0.992 0.000 0.000 0.008
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.3206 0.84034 0.828 0.000 0.000 0.104 0.000 0.068
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.1151 0.78366 0.000 0.956 0.000 0.012 0.000 0.032
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 5 0.0508 0.80087 0.000 0.000 0.004 0.000 0.984 0.012
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.2389 0.75515 0.000 0.000 0.000 0.888 0.060 0.052
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0547 0.92567 0.980 0.000 0.000 0.000 0.000 0.020
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#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.92699 1.000 0.000 0.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.92699 1.000 0.000 0.000 0.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 6 0.3834 0.57214 0.000 0.268 0.000 0.000 0.024 0.708
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.3468 0.77083 0.000 0.000 0.068 0.000 0.804 0.128
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.3092 0.84302 0.836 0.000 0.000 0.104 0.000 0.060
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 6 0.3868 0.47056 0.000 0.492 0.000 0.000 0.000 0.508
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0692 0.92482 0.976 0.000 0.000 0.004 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["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 17377 rows and 265 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 0.973 0.989 0.5008 0.500 0.500
#> 3 3 1.000 0.974 0.986 0.2854 0.803 0.626
#> 4 4 0.887 0.881 0.942 0.1140 0.906 0.747
#> 5 5 0.854 0.815 0.917 0.0812 0.931 0.768
#> 6 6 0.852 0.823 0.903 0.0346 0.959 0.827
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.994 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.984 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.994 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.994 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.984 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.994 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.984 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.994 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.994 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.984 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 2 0.0000 0.994 0.000 1.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.994 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.994 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.984 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.994 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.984 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.984 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 2 0.0000 0.994 0.000 1.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.984 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.9087 0.532 0.676 0.324
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0000 0.984 1.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.984 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.984 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.0000 0.984 1.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.994 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.994 0.000 1.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.4298 0.897 0.912 0.088
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.984 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.984 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.984 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 2 0.0000 0.994 0.000 1.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.984 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.984 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.984 1.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.994 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.984 1.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 1 0.0000 0.984 1.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.0000 0.984 1.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.0000 0.984 1.000 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.984 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.0000 0.994 0.000 1.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.994 0.000 1.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.0000 0.984 1.000 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 2 0.0000 0.994 0.000 1.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.994 0.000 1.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.994 0.000 1.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.0000 0.994 0.000 1.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.0000 0.984 1.000 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.984 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.994 0.000 1.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.984 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.984 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.984 1.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 2 0.0938 0.982 0.012 0.988
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.984 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.984 1.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 2 0.0000 0.994 0.000 1.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.984 1.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.984 1.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.994 0.000 1.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.994 0.000 1.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.994 0.000 1.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.984 1.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.984 1.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.984 1.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.0000 0.984 1.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.6438 0.804 0.836 0.164
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.0000 0.984 1.000 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.9661 0.371 0.608 0.392
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0000 0.984 1.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.984 1.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.0000 0.984 1.000 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.994 0.000 1.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.994 0.000 1.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 1 0.9795 0.297 0.584 0.416
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.994 0.000 1.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.0000 0.984 1.000 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 2 0.0000 0.994 0.000 1.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.984 1.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.984 1.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.994 0.000 1.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 2 0.0000 0.994 0.000 1.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.984 1.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.984 1.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 2 0.0000 0.994 0.000 1.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 2 0.0000 0.994 0.000 1.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.984 1.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.994 0.000 1.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.994 0.000 1.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.984 1.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.984 1.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.6343 0.809 0.840 0.160
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 2 0.0000 0.994 0.000 1.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.994 0.000 1.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.0000 0.984 1.000 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.0000 0.984 1.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.984 1.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.984 1.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.984 1.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.9491 0.433 0.632 0.368
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.3584 0.919 0.932 0.068
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.994 0.000 1.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 2 0.0000 0.994 0.000 1.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.984 1.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.994 0.000 1.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 2 0.0000 0.994 0.000 1.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 2 0.0000 0.994 0.000 1.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 2 0.0000 0.994 0.000 1.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 2 0.0000 0.994 0.000 1.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.984 1.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.994 0.000 1.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 2 0.9850 0.230 0.428 0.572
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.0000 0.984 1.000 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.984 1.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 2 0.0000 0.994 0.000 1.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 2 0.0000 0.994 0.000 1.000
#> 7955FC55-386D-497E-AFED-019BBBAD428E 1 0.5408 0.854 0.876 0.124
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.0000 0.984 1.000 0.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0000 0.984 1.000 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 1 0.0000 0.984 1.000 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 2 0.0000 0.994 0.000 1.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.984 1.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.984 1.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.994 0.000 1.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 2 0.0000 0.994 0.000 1.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.0000 0.984 1.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.984 1.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.994 0.000 1.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 1 0.0000 0.984 1.000 0.000
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.994 0.000 1.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 2 0.0000 0.994 0.000 1.000
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.994 0.000 1.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.984 1.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.994 0.000 1.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.994 0.000 1.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.984 1.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.994 0.000 1.000
#> 4780A59C-0589-4995-B044-3201F09AF859 2 0.0000 0.994 0.000 1.000
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.994 0.000 1.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 2 0.0000 0.994 0.000 1.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 2 0.0000 0.994 0.000 1.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 2 0.0000 0.994 0.000 1.000
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.994 0.000 1.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.0000 0.984 1.000 0.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.0000 0.984 1.000 0.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 2 0.0000 0.994 0.000 1.000
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.984 1.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.0000 0.984 1.000 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.984 1.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0000 0.984 1.000 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.2043 0.955 0.968 0.032
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.984 1.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 2 0.0000 0.994 0.000 1.000
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 2 0.0000 0.994 0.000 1.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.0000 0.984 1.000 0.000
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 2 0.0000 0.994 0.000 1.000
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.0000 0.984 1.000 0.000
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0000 0.984 1.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 2 0.0000 0.994 0.000 1.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.0000 0.984 1.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.994 0.000 1.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.994 0.000 1.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.984 1.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 2 0.4431 0.895 0.092 0.908
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.984 1.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.984 1.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.984 1.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 2 0.0000 0.994 0.000 1.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.994 0.000 1.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.994 0.000 1.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 2 0.0000 0.994 0.000 1.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.0000 0.984 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.994 0.000 1.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.984 1.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.984 1.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.994 0.000 1.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.984 1.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0000 0.994 0.000 1.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.984 1.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.994 0.000 1.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.994 0.000 1.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 2 0.5059 0.870 0.112 0.888
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.994 0.000 1.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0000 0.984 1.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 2 0.4562 0.890 0.096 0.904
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 1 0.0000 0.984 1.000 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.984 1.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 2 0.0000 0.994 0.000 1.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.994 0.000 1.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.994 0.000 1.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.0000 0.984 1.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.984 1.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 2 0.0000 0.994 0.000 1.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.984 1.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 2 0.0000 0.994 0.000 1.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.994 0.000 1.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.994 0.000 1.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.984 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 2 0.0000 0.994 0.000 1.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 2 0.0000 0.994 0.000 1.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0000 0.984 1.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 2 0.0000 0.994 0.000 1.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.994 0.000 1.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.984 1.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.0000 0.994 0.000 1.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.994 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.984 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.994 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.984 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.994 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.0000 0.984 1.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.994 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.994 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.994 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.984 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.984 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0000 0.984 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.0000 0.984 1.000 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.994 0.000 1.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.984 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.0000 0.984 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 2 0.0000 0.994 0.000 1.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0000 0.984 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.984 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.984 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.984 1.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.984 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.984 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.994 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.0000 0.994 0.000 1.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 1 0.1633 0.963 0.976 0.024
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0000 0.984 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.994 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.984 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.994 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.0000 0.984 1.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.994 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.984 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.0000 0.984 1.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.984 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.984 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.984 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.984 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.984 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.984 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.994 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.994 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 2 0.0000 0.994 0.000 1.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.984 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.994 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.994 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.994 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.984 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 2 0.0000 0.994 0.000 1.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.994 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.994 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.984 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 2 0.0000 0.994 0.000 1.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.984 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.984 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.994 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 2 0.0000 0.994 0.000 1.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.984 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.994 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.984 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.994 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.987 1.000 0.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.994 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.994 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.987 1.000 0.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.994 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.987 1.000 0.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.994 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.994 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.987 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.0000 0.973 0.000 0.000 1.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.994 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.994 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.987 1.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.994 0.000 1.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.987 1.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.3116 0.889 0.892 0.000 0.108
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.1964 0.958 0.000 0.056 0.944
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.987 1.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 3 0.0000 0.973 0.000 0.000 1.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0000 0.987 1.000 0.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.987 1.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.1860 0.947 0.948 0.000 0.052
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.0000 0.987 1.000 0.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.994 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.994 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 3 0.0000 0.973 0.000 0.000 1.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.987 1.000 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.1643 0.954 0.956 0.000 0.044
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.987 1.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.0000 0.973 0.000 0.000 1.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.987 1.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.987 1.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0237 0.984 0.996 0.000 0.004
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.994 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 3 0.0237 0.971 0.004 0.000 0.996
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 1 0.0000 0.987 1.000 0.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.0000 0.987 1.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.0000 0.987 1.000 0.000 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.987 1.000 0.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.2165 0.954 0.000 0.064 0.936
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.994 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.0000 0.987 1.000 0.000 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0237 0.973 0.000 0.004 0.996
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.994 0.000 1.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.994 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.2261 0.952 0.000 0.068 0.932
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.0000 0.987 1.000 0.000 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.987 1.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.994 0.000 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.987 1.000 0.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.987 1.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.987 1.000 0.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.0000 0.973 0.000 0.000 1.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0747 0.976 0.984 0.000 0.016
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#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.994 0.000 1.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.5650 0.576 0.688 0.000 0.312
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.0000 0.987 1.000 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.987 1.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.987 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.987 1.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.987 1.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.987 1.000 0.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0892 0.973 0.980 0.000 0.020
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.994 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.994 0.000 1.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 3 0.0000 0.973 0.000 0.000 1.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.1289 0.964 0.968 0.000 0.032
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.994 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.994 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.994 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0424 0.982 0.992 0.000 0.008
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.0000 0.973 0.000 0.000 1.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.994 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.994 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.987 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.0000 0.973 0.000 0.000 1.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.987 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.987 1.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.994 0.000 1.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.0000 0.973 0.000 0.000 1.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.987 1.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.994 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.987 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 4 0.4431 0.587 0.304 0.000 0.000 0.696
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 4 0.4040 0.676 0.248 0.000 0.000 0.752
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.3219 0.832 0.000 0.000 0.836 0.164
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.4331 0.619 0.000 0.712 0.288 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 4 0.1557 0.844 0.056 0.000 0.000 0.944
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 4 0.1022 0.854 0.000 0.000 0.032 0.968
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.4907 0.179 0.420 0.000 0.000 0.580
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 4 0.1022 0.854 0.000 0.000 0.032 0.968
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 4 0.1118 0.853 0.036 0.000 0.000 0.964
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.2760 0.867 0.000 0.000 0.872 0.128
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.4040 0.659 0.752 0.000 0.000 0.248
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 4 0.3873 0.700 0.228 0.000 0.000 0.772
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 4 0.1109 0.855 0.028 0.000 0.004 0.968
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0188 0.938 0.000 0.000 0.996 0.004
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.2081 0.902 0.000 0.916 0.084 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.3486 0.746 0.812 0.000 0.000 0.188
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.0188 0.938 0.000 0.000 0.996 0.004
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.4431 0.562 0.696 0.000 0.000 0.304
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.4916 0.241 0.576 0.000 0.000 0.424
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 4 0.1022 0.854 0.000 0.000 0.032 0.968
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 4 0.1109 0.855 0.028 0.000 0.004 0.968
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.3873 0.691 0.772 0.000 0.000 0.228
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.4040 0.659 0.752 0.000 0.000 0.248
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 4 0.1022 0.854 0.000 0.000 0.032 0.968
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.1022 0.854 0.000 0.000 0.032 0.968
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.4967 0.154 0.548 0.000 0.000 0.452
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.4040 0.659 0.752 0.000 0.000 0.248
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 3 0.2345 0.887 0.000 0.000 0.900 0.100
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 4 0.1118 0.853 0.036 0.000 0.000 0.964
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 3 0.4164 0.694 0.000 0.000 0.736 0.264
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.3688 0.719 0.792 0.000 0.000 0.208
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 4 0.1022 0.854 0.000 0.000 0.032 0.968
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.4456 0.626 0.716 0.000 0.004 0.280
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 4 0.1174 0.856 0.012 0.000 0.020 0.968
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 4 0.1118 0.853 0.036 0.000 0.000 0.964
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 4 0.1022 0.854 0.000 0.000 0.032 0.968
#> 82AB290A-3993-45E5-8B15-6125A019778C 4 0.1022 0.854 0.000 0.000 0.032 0.968
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0188 0.938 0.000 0.000 0.996 0.004
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 4 0.1022 0.854 0.000 0.000 0.032 0.968
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 4 0.1022 0.854 0.000 0.000 0.032 0.968
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 3 0.2530 0.880 0.000 0.000 0.888 0.112
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.4728 0.587 0.216 0.000 0.752 0.032
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 4 0.1022 0.854 0.032 0.000 0.000 0.968
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 1 0.5537 0.610 0.688 0.000 0.256 0.056
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 4 0.1474 0.841 0.000 0.000 0.052 0.948
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.1940 0.867 0.924 0.000 0.000 0.076
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.2408 0.849 0.896 0.000 0.000 0.104
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 2 0.4356 0.612 0.000 0.708 0.292 0.000
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 3 0.0188 0.938 0.000 0.000 0.996 0.004
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 3 0.3172 0.836 0.000 0.000 0.840 0.160
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 3 0.4277 0.700 0.000 0.000 0.720 0.280
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 0E22B729-C381-4B0C-9897-62DD38F51722 3 0.2647 0.874 0.000 0.000 0.880 0.120
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.3356 0.761 0.824 0.000 0.000 0.176
#> A68B078D-8979-4070-BB4D-F526704ED3DC 4 0.4877 0.348 0.408 0.000 0.000 0.592
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 3 0.3172 0.849 0.000 0.000 0.840 0.160
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 3 0.0188 0.938 0.000 0.000 0.996 0.004
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 4 0.4585 0.397 0.000 0.000 0.332 0.668
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 3 0.2530 0.880 0.000 0.000 0.888 0.112
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 4 0.1022 0.854 0.000 0.000 0.032 0.968
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 4 0.1022 0.854 0.032 0.000 0.000 0.968
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.1022 0.911 0.000 0.000 0.968 0.032
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.2216 0.899 0.000 0.908 0.092 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.2216 0.899 0.000 0.908 0.092 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 3 0.0188 0.938 0.000 0.000 0.996 0.004
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.3972 0.737 0.788 0.000 0.008 0.204
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0817 0.917 0.976 0.000 0.000 0.024
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.4605 0.494 0.664 0.000 0.000 0.336
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 3 0.0188 0.938 0.000 0.000 0.996 0.004
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.4188 0.685 0.752 0.000 0.004 0.244
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 4 0.4040 0.574 0.000 0.000 0.248 0.752
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.1022 0.854 0.000 0.000 0.032 0.968
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 3 0.2814 0.864 0.000 0.000 0.868 0.132
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 4 0.1022 0.854 0.000 0.000 0.032 0.968
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.4992 0.119 0.524 0.000 0.000 0.476
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.0188 0.938 0.000 0.000 0.996 0.004
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.5430 0.544 0.664 0.000 0.036 0.300
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0188 0.938 0.000 0.000 0.996 0.004
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0188 0.921 0.996 0.000 0.000 0.004
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.0188 0.938 0.000 0.000 0.996 0.004
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.3764 0.708 0.784 0.000 0.000 0.216
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.3873 0.694 0.772 0.000 0.000 0.228
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.3982 0.715 0.776 0.000 0.004 0.220
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.4222 0.619 0.728 0.000 0.000 0.272
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.1118 0.853 0.036 0.000 0.000 0.964
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 4 0.3311 0.751 0.172 0.000 0.000 0.828
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.1637 0.881 0.940 0.000 0.000 0.060
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0188 0.939 0.000 0.004 0.996 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 1 0.2222 0.892 0.932 0.032 0.004 0.032
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.1209 0.915 0.964 0.000 0.004 0.032
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.6314 0.324 0.372 0.000 0.068 0.560
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.1109 0.915 0.968 0.000 0.004 0.028
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.4605 0.517 0.336 0.000 0.000 0.664
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.3873 0.611 0.000 0.000 0.228 0.772
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 4 0.1867 0.834 0.072 0.000 0.000 0.928
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.3355 0.800 0.836 0.000 0.004 0.160
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.2921 0.856 0.000 0.000 0.860 0.140
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.2589 0.877 0.000 0.000 0.884 0.116
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.3172 0.836 0.000 0.000 0.840 0.160
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.921 1.000 0.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.988 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.921 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 4 0.6817 0.1672 0.332 0.000 0.000 0.356 0.312
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.4242 0.2289 0.572 0.000 0.000 0.428 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.2020 0.8150 0.100 0.000 0.000 0.900 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.4584 0.4525 0.312 0.000 0.000 0.028 0.660
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.4527 0.6929 0.000 0.000 0.732 0.064 0.204
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.4126 0.3632 0.620 0.000 0.000 0.380 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.4074 0.4531 0.000 0.636 0.364 0.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.2654 0.8378 0.064 0.000 0.000 0.048 0.888
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.9230 0.000 0.000 1.000 0.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.1270 0.8114 0.948 0.000 0.000 0.052 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.0000 0.9309 0.000 0.000 0.000 0.000 1.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.3661 0.5580 0.724 0.000 0.000 0.276 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.3412 0.6787 0.028 0.000 0.000 0.820 0.152
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.4278 0.1795 0.548 0.000 0.000 0.452 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.0000 0.9309 0.000 0.000 0.000 0.000 1.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0162 0.8344 0.996 0.000 0.000 0.004 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 5 0.0000 0.9309 0.000 0.000 0.000 0.000 1.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.2409 0.8740 0.000 0.000 0.900 0.068 0.032
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.3736 0.7218 0.808 0.000 0.000 0.052 0.140
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 5 0.1851 0.8410 0.088 0.000 0.000 0.000 0.912
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#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.0162 0.9278 0.000 0.000 0.000 0.004 0.996
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.4058 0.6261 0.740 0.000 0.000 0.024 0.236
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.0000 0.9230 0.000 0.000 1.000 0.000 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 0.9230 0.000 0.000 1.000 0.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.1836 0.7816 0.032 0.000 0.000 0.932 0.036
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0000 0.9230 0.000 0.000 1.000 0.000 0.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.9230 0.000 0.000 1.000 0.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.1197 0.8138 0.952 0.000 0.000 0.048 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.0000 0.9230 0.000 0.000 1.000 0.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0510 0.8293 0.984 0.000 0.000 0.000 0.016
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0000 0.9230 0.000 0.000 1.000 0.000 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.1965 0.7806 0.904 0.000 0.000 0.000 0.096
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.4273 0.1911 0.552 0.000 0.000 0.448 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.4101 0.6773 0.768 0.000 0.000 0.048 0.184
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.3639 0.7333 0.184 0.000 0.000 0.792 0.024
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 4 0.4302 -0.0343 0.480 0.000 0.000 0.520 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.2377 0.8052 0.128 0.000 0.000 0.872 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 4 0.1908 0.8103 0.092 0.000 0.000 0.908 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.9230 0.000 0.000 1.000 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.4060 0.3905 0.640 0.000 0.000 0.360 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.2648 0.7375 0.848 0.000 0.000 0.000 0.152
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 5 0.0000 0.9309 0.000 0.000 0.000 0.000 1.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 5 0.1270 0.8817 0.052 0.000 0.000 0.000 0.948
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0703 0.8254 0.976 0.000 0.000 0.000 0.024
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0000 0.9230 0.000 0.000 1.000 0.000 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 1 0.4278 0.1795 0.548 0.000 0.000 0.452 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.1908 0.8103 0.092 0.000 0.000 0.908 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.4278 0.1795 0.548 0.000 0.000 0.452 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.2054 0.7708 0.028 0.000 0.000 0.920 0.052
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0963 0.8229 0.964 0.000 0.000 0.036 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.6392 0.2635 0.184 0.000 0.000 0.484 0.332
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 5 0.2193 0.8644 0.000 0.000 0.008 0.092 0.900
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.3958 0.6617 0.184 0.000 0.000 0.040 0.776
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.1041 0.7952 0.032 0.000 0.000 0.964 0.004
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.3075 0.8470 0.000 0.000 0.860 0.092 0.048
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.2409 0.8740 0.000 0.000 0.900 0.068 0.032
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.4313 0.7340 0.000 0.000 0.760 0.068 0.172
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9850 0.000 1.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.8356 1.000 0.000 0.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 4 0.7288 0.3284 0.308 0.000 0.000 0.384 0.144 0.164
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.4024 0.5241 0.700 0.000 0.000 0.264 0.000 0.036
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.2446 0.7371 0.012 0.000 0.000 0.864 0.000 0.124
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0632 0.9602 0.000 0.976 0.000 0.000 0.000 0.024
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.4331 0.3881 0.332 0.000 0.000 0.004 0.636 0.028
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.4428 0.7409 0.000 0.000 0.736 0.096 0.156 0.012
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0632 0.9602 0.000 0.976 0.000 0.000 0.000 0.024
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 6 0.3454 0.7295 0.208 0.000 0.000 0.024 0.000 0.768
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.3672 0.4417 0.000 0.632 0.368 0.000 0.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.3244 0.6089 0.000 0.000 0.000 0.268 0.732 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.2743 0.8024 0.828 0.000 0.000 0.008 0.000 0.164
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.0000 0.9195 0.000 0.000 0.000 0.000 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.3245 0.7148 0.228 0.000 0.000 0.008 0.000 0.764
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.1297 0.7026 0.000 0.000 0.000 0.948 0.040 0.012
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 6 0.3481 0.7337 0.192 0.000 0.000 0.032 0.000 0.776
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0146 0.9693 0.000 0.996 0.000 0.000 0.000 0.004
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.0000 0.9195 0.000 0.000 0.000 0.000 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 5 0.0146 0.9183 0.000 0.000 0.000 0.000 0.996 0.004
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.2865 0.8408 0.000 0.000 0.840 0.140 0.008 0.012
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.3073 0.8002 0.816 0.000 0.000 0.004 0.016 0.164
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 5 0.0972 0.8902 0.028 0.000 0.000 0.000 0.964 0.008
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 5 0.0000 0.9195 0.000 0.000 0.000 0.000 1.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 6 0.3394 0.7337 0.200 0.000 0.000 0.024 0.000 0.776
#> 655BD3AF-5094-4B19-93A8-401C70369B17 6 0.3014 0.7318 0.184 0.000 0.000 0.012 0.000 0.804
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.3833 -0.0437 0.556 0.000 0.000 0.000 0.000 0.444
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.4292 0.4513 0.588 0.000 0.000 0.024 0.000 0.388
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0632 0.9602 0.000 0.976 0.000 0.000 0.000 0.024
#> 619F37D2-6771-4727-9079-56BED07F1CF6 6 0.1341 0.5648 0.028 0.000 0.000 0.024 0.000 0.948
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.1075 0.9269 0.000 0.952 0.048 0.000 0.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 6 0.4097 -0.2214 0.492 0.000 0.000 0.008 0.000 0.500
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 6 0.3774 0.2571 0.000 0.408 0.000 0.000 0.000 0.592
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.3017 0.7284 0.020 0.000 0.000 0.816 0.000 0.164
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.3030 0.7971 0.816 0.000 0.000 0.008 0.008 0.168
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.0260 0.9236 0.000 0.000 0.992 0.000 0.000 0.008
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.1888 0.7036 0.068 0.000 0.000 0.916 0.012 0.004
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.2743 0.7884 0.828 0.000 0.000 0.000 0.164 0.008
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 5 0.0000 0.9195 0.000 0.000 0.000 0.000 1.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 5 0.0000 0.9195 0.000 0.000 0.000 0.000 1.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0632 0.9602 0.000 0.976 0.000 0.000 0.000 0.024
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.1007 0.9469 0.000 0.956 0.000 0.000 0.000 0.044
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.2473 0.8132 0.856 0.000 0.000 0.000 0.136 0.008
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.2999 0.8098 0.836 0.000 0.000 0.000 0.124 0.040
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.4147 0.5253 0.012 0.000 0.000 0.552 0.000 0.436
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 5 0.0000 0.9195 0.000 0.000 0.000 0.000 1.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 4 0.4372 0.5194 0.024 0.000 0.000 0.544 0.000 0.432
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 5 0.0806 0.9027 0.000 0.000 0.000 0.020 0.972 0.008
#> 251094BE-C33D-44F0-BD98-8618D71F520C 4 0.5990 0.5441 0.212 0.000 0.000 0.580 0.040 0.168
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.3062 0.8136 0.836 0.000 0.000 0.000 0.112 0.052
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.4736 0.5365 0.620 0.000 0.000 0.072 0.000 0.308
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
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#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.3189 0.6914 0.796 0.000 0.000 0.184 0.000 0.020
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.2278 0.8203 0.868 0.000 0.000 0.000 0.128 0.004
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 5 0.0146 0.9183 0.000 0.000 0.000 0.000 0.996 0.004
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 5 0.0405 0.9118 0.008 0.000 0.000 0.000 0.988 0.004
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0146 0.8868 0.996 0.000 0.000 0.000 0.000 0.004
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.2738 0.7254 0.176 0.000 0.000 0.004 0.000 0.820
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.4147 0.5253 0.012 0.000 0.000 0.552 0.000 0.436
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.1007 0.9469 0.000 0.956 0.000 0.000 0.000 0.044
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 6 0.3481 0.7337 0.192 0.000 0.000 0.032 0.000 0.776
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0405 0.7235 0.000 0.000 0.000 0.988 0.008 0.004
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.2491 0.7188 0.836 0.000 0.000 0.000 0.000 0.164
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.2482 0.8209 0.848 0.000 0.000 0.004 0.000 0.148
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.4087 0.7188 0.024 0.000 0.000 0.764 0.044 0.168
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 5 0.3230 0.7397 0.000 0.000 0.000 0.212 0.776 0.012
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.4329 0.6395 0.112 0.000 0.000 0.148 0.736 0.004
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0632 0.9602 0.000 0.976 0.000 0.000 0.000 0.024
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9707 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0632 0.9602 0.000 0.976 0.000 0.000 0.000 0.024
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0260 0.7307 0.000 0.000 0.000 0.992 0.000 0.008
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.3329 0.8048 0.000 0.000 0.796 0.180 0.012 0.012
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.2378 0.8287 0.000 0.848 0.000 0.000 0.000 0.152
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0146 0.9693 0.000 0.996 0.000 0.000 0.000 0.004
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.3020 0.8293 0.000 0.000 0.824 0.156 0.008 0.012
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.1610 0.8588 0.916 0.000 0.000 0.000 0.000 0.084
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0937 0.9498 0.000 0.960 0.000 0.000 0.000 0.040
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.4342 0.7602 0.000 0.000 0.748 0.132 0.108 0.012
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.8880 1.000 0.000 0.000 0.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.1007 0.9469 0.000 0.956 0.000 0.000 0.000 0.044
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0146 0.8874 0.996 0.000 0.000 0.000 0.000 0.004
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17377 rows and 265 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.984 0.967 0.985 0.4689 0.528 0.528
#> 3 3 0.810 0.858 0.936 0.3747 0.672 0.455
#> 4 4 0.734 0.813 0.906 0.1426 0.838 0.575
#> 5 5 0.842 0.810 0.920 0.0579 0.947 0.797
#> 6 6 0.780 0.678 0.841 0.0361 0.935 0.739
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.973 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.992 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.973 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.973 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.992 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.973 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.992 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.973 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.973 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.992 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.992 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.973 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.973 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.992 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.973 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.992 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.992 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 2 0.7219 0.771 0.200 0.800
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.992 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.992 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0000 0.992 1.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.992 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.992 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.0000 0.992 1.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.973 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.973 0.000 1.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.992 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.992 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.992 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.992 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 2 0.8144 0.693 0.252 0.748
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.992 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.992 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.0000 0.992 1.000 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.973 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.0000 0.992 1.000 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 1 0.0000 0.992 1.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.0000 0.992 1.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 1 0.0000 0.992 1.000 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.992 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.7219 0.771 0.200 0.800
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.973 0.000 1.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 1 0.0000 0.992 1.000 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 2 0.6623 0.808 0.172 0.828
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.973 0.000 1.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.973 0.000 1.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.7453 0.754 0.212 0.788
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.0000 0.992 1.000 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.992 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.7219 0.765 0.200 0.800
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0000 0.992 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.992 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.992 1.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.0000 0.992 1.000 0.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.992 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.992 1.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 2 0.0000 0.973 0.000 1.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.0000 0.992 1.000 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0000 0.992 1.000 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.973 0.000 1.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.973 0.000 1.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.973 0.000 1.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.992 1.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.992 1.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.992 1.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.0000 0.992 1.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.0000 0.992 1.000 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.0000 0.992 1.000 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.0000 0.992 1.000 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0000 0.992 1.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.992 1.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.0000 0.992 1.000 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.973 0.000 1.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.6148 0.827 0.152 0.848
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 1 0.0000 0.992 1.000 0.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.973 0.000 1.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.0000 0.992 1.000 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 2 0.0000 0.973 0.000 1.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.992 1.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.992 1.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.973 0.000 1.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 2 0.5946 0.841 0.144 0.856
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.992 1.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0000 0.992 1.000 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 2 0.0000 0.973 0.000 1.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.0000 0.992 1.000 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.992 1.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.973 0.000 1.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.973 0.000 1.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.992 1.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.992 1.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.992 1.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.7950 0.677 0.760 0.240
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.973 0.000 1.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.0000 0.992 1.000 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.0000 0.992 1.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.992 1.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.0000 0.992 1.000 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.992 1.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.0000 0.992 1.000 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.992 1.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.973 0.000 1.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 2 0.2423 0.941 0.040 0.960
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.992 1.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.973 0.000 1.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 1 0.2778 0.943 0.952 0.048
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 2 0.0000 0.973 0.000 1.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0000 0.992 1.000 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 2 0.6343 0.823 0.160 0.840
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.992 1.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.973 0.000 1.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.0000 0.992 1.000 0.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.0000 0.992 1.000 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.992 1.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 2 0.0000 0.973 0.000 1.000
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.9552 0.370 0.624 0.376
#> 7955FC55-386D-497E-AFED-019BBBAD428E 1 0.0000 0.992 1.000 0.000
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.0000 0.992 1.000 0.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0000 0.992 1.000 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 1 0.0000 0.992 1.000 0.000
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.1184 0.977 0.984 0.016
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.992 1.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.0000 0.992 1.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.973 0.000 1.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 2 0.0000 0.973 0.000 1.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.0000 0.992 1.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.992 1.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.973 0.000 1.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 1 0.0000 0.992 1.000 0.000
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.973 0.000 1.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 2 0.9248 0.524 0.340 0.660
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.973 0.000 1.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.992 1.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.973 0.000 1.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.973 0.000 1.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.992 1.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.973 0.000 1.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.0000 0.992 1.000 0.000
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.973 0.000 1.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 2 0.0000 0.973 0.000 1.000
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 2 0.0000 0.973 0.000 1.000
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.0000 0.992 1.000 0.000
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.973 0.000 1.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.0000 0.992 1.000 0.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.0000 0.992 1.000 0.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.0000 0.992 1.000 0.000
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.992 1.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.0000 0.992 1.000 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.992 1.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.0000 0.992 1.000 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.0000 0.992 1.000 0.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.992 1.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 2 0.0000 0.973 0.000 1.000
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.0000 0.992 1.000 0.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.0000 0.992 1.000 0.000
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 2 0.6148 0.832 0.152 0.848
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.0000 0.992 1.000 0.000
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.0000 0.992 1.000 0.000
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 2 0.0000 0.973 0.000 1.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.0000 0.992 1.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.973 0.000 1.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.973 0.000 1.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.992 1.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 1 0.0000 0.992 1.000 0.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.992 1.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.992 1.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.992 1.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 2 0.0000 0.973 0.000 1.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.973 0.000 1.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.973 0.000 1.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.0000 0.992 1.000 0.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.0000 0.992 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.973 0.000 1.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.992 1.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.992 1.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.973 0.000 1.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.992 1.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 1 0.9933 0.128 0.548 0.452
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.992 1.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.973 0.000 1.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.973 0.000 1.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.0000 0.992 1.000 0.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.973 0.000 1.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0000 0.992 1.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.0000 0.992 1.000 0.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 1 0.0000 0.992 1.000 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.992 1.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.0000 0.992 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.973 0.000 1.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.973 0.000 1.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.0000 0.992 1.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.992 1.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.0000 0.992 1.000 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.992 1.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 2 0.0000 0.973 0.000 1.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.973 0.000 1.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.973 0.000 1.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.0000 0.992 1.000 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 2 0.0672 0.967 0.008 0.992
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 2 0.0000 0.973 0.000 1.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0000 0.992 1.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 2 0.0000 0.973 0.000 1.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.973 0.000 1.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.992 1.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.0000 0.973 0.000 1.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.973 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.992 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.973 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.992 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.973 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.0000 0.992 1.000 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.973 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.973 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.973 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.992 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.992 1.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 1 0.0000 0.992 1.000 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.0000 0.992 1.000 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.973 0.000 1.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0000 0.992 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.0000 0.992 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 1 0.2778 0.943 0.952 0.048
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0000 0.992 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.992 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.0000 0.992 1.000 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.0000 0.992 1.000 0.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.992 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.992 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.973 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.0000 0.973 0.000 1.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 1 0.0000 0.992 1.000 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0000 0.992 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.973 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.992 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.973 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.0000 0.992 1.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.973 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.992 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.0000 0.992 1.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.992 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.992 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.992 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.992 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.992 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.992 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.973 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.8081 0.699 0.248 0.752
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.992 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.992 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.973 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.973 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.973 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.992 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.1184 0.977 0.984 0.016
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0376 0.970 0.004 0.996
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.973 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.992 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0000 0.992 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.992 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.992 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.973 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 2 0.6887 0.794 0.184 0.816
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.992 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.973 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.992 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.971 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 3 0.0000 0.933 0.000 0.000 1.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.971 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.971 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.5327 0.706 0.728 0.000 0.272
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.971 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.0592 0.924 0.012 0.000 0.988
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.971 0.000 1.000 0.000
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#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 3 0.0000 0.933 0.000 0.000 1.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.2878 0.861 0.000 0.904 0.096
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.971 0.000 1.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 3 0.0000 0.933 0.000 0.000 1.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 3 0.0592 0.924 0.012 0.000 0.988
#> C3921A29-80FF-4B9D-B366-5C0238A42231 3 0.0000 0.933 0.000 0.000 1.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.869 1.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 2 0.6244 0.127 0.000 0.560 0.440
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.971 0.000 1.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.971 0.000 1.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 3 0.0000 0.933 0.000 0.000 1.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.5291 0.636 0.000 0.268 0.732
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.6168 0.351 0.000 0.412 0.588
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.6260 0.434 0.552 0.000 0.448
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.1529 0.903 0.000 0.040 0.960
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.971 0.000 1.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.869 1.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.6168 0.351 0.000 0.412 0.588
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.971 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.869 1.000 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.971 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.4842 0.750 0.776 0.000 0.224
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.971 0.000 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.0592 0.866 0.988 0.000 0.012
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.971 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.971 0.000 1.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.971 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.869 1.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 3 0.0000 0.933 0.000 0.000 1.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 3 0.0000 0.933 0.000 0.000 1.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.0000 0.933 0.000 0.000 1.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.5178 0.628 0.000 0.744 0.256
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.6168 0.517 0.588 0.000 0.412
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.0000 0.933 0.000 0.000 1.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.933 0.000 0.000 1.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0237 0.868 0.996 0.000 0.004
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.869 1.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 3 0.0000 0.933 0.000 0.000 1.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 3 0.0000 0.933 0.000 0.000 1.000
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.869 1.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.869 1.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.971 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.1411 0.907 0.000 0.036 0.964
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 3 0.0424 0.927 0.008 0.000 0.992
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.6168 0.517 0.588 0.000 0.412
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.971 0.000 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.869 1.000 0.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.971 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.0592 0.924 0.012 0.000 0.988
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 3 0.6168 0.351 0.000 0.412 0.588
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 3 0.0000 0.933 0.000 0.000 1.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.5058 0.733 0.756 0.000 0.244
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.869 1.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.869 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.869 1.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.869 1.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0237 0.868 0.996 0.000 0.004
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 3 0.0000 0.933 0.000 0.000 1.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.971 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 3 0.0000 0.933 0.000 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 3 0.0000 0.933 0.000 0.000 1.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 3 0.0000 0.933 0.000 0.000 1.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.971 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.971 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.971 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 3 0.0592 0.924 0.012 0.000 0.988
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.0000 0.933 0.000 0.000 1.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.5291 0.607 0.000 0.732 0.268
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.971 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.869 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.0000 0.933 0.000 0.000 1.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.869 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.869 1.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 3 0.4931 0.693 0.000 0.232 0.768
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.0000 0.933 0.000 0.000 1.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.869 1.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.971 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.869 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 4 0.0000 0.872 0.000 0.000 0.000 1.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0000 0.872 0.000 0.000 0.000 1.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.872 0.000 0.000 0.000 1.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 3 0.4955 0.404 0.000 0.000 0.556 0.444
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.3024 0.858 0.000 0.000 0.852 0.148
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.880 1.000 0.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.2011 0.910 0.000 0.920 0.080 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.4961 0.314 0.552 0.000 0.000 0.448
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 3 0.4605 0.631 0.000 0.000 0.664 0.336
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.830 0.000 0.000 1.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 4 0.0000 0.872 0.000 0.000 0.000 1.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 3 0.3024 0.858 0.000 0.000 0.852 0.148
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0000 0.880 1.000 0.000 0.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.880 1.000 0.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.4804 0.237 0.000 0.000 0.384 0.616
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 4 0.1792 0.830 0.068 0.000 0.000 0.932
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 3 0.3024 0.858 0.000 0.000 0.852 0.148
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0000 0.872 0.000 0.000 0.000 1.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 4 0.0000 0.872 0.000 0.000 0.000 1.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.880 1.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.0000 0.830 0.000 0.000 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.4103 0.722 0.744 0.000 0.000 0.256
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.880 1.000 0.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 3 0.4985 0.336 0.000 0.000 0.532 0.468
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 3 0.3024 0.858 0.000 0.000 0.852 0.148
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 4 0.3172 0.730 0.160 0.000 0.000 0.840
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.4898 0.363 0.584 0.000 0.000 0.416
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 4 0.4746 0.315 0.368 0.000 0.000 0.632
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.4008 0.737 0.756 0.000 0.000 0.244
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.830 0.000 0.000 1.000 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 4 0.0000 0.872 0.000 0.000 0.000 1.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0000 0.830 0.000 0.000 1.000 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.3024 0.846 0.000 0.852 0.148 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.830 0.000 0.000 1.000 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 4 0.1637 0.836 0.000 0.000 0.060 0.940
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.880 1.000 0.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.4635 0.590 0.000 0.720 0.012 0.268
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0000 0.872 0.000 0.000 0.000 1.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.880 1.000 0.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 4 0.0000 0.872 0.000 0.000 0.000 1.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.3024 0.858 0.000 0.000 0.852 0.148
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0000 0.872 0.000 0.000 0.000 1.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 4 0.4955 0.359 0.008 0.000 0.344 0.648
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.830 0.000 0.000 1.000 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 3 0.3024 0.858 0.000 0.000 0.852 0.148
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 3 0.3024 0.858 0.000 0.000 0.852 0.148
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.880 1.000 0.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 3 0.4730 0.575 0.000 0.000 0.636 0.364
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.4382 0.663 0.704 0.000 0.000 0.296
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.0000 0.872 0.000 0.000 0.000 1.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 3 0.3024 0.858 0.000 0.000 0.852 0.148
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 4 0.0000 0.872 0.000 0.000 0.000 1.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 3 0.3024 0.858 0.000 0.000 0.852 0.148
#> 251094BE-C33D-44F0-BD98-8618D71F520C 4 0.4543 0.387 0.000 0.000 0.324 0.676
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.5000 0.154 0.504 0.000 0.000 0.496
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 4 0.0188 0.869 0.004 0.000 0.000 0.996
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.4916 0.235 0.000 0.576 0.000 0.424
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 4 0.2081 0.815 0.000 0.000 0.084 0.916
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.0000 0.872 0.000 0.000 0.000 1.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0817 0.820 0.000 0.024 0.976 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.880 1.000 0.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.880 1.000 0.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 3 0.0000 0.830 0.000 0.000 1.000 0.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.3907 0.725 0.768 0.000 0.000 0.232
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 4 0.3528 0.671 0.000 0.000 0.192 0.808
#> CD6F9E20-B301-4663-87EC-953EDF49754F 2 0.3024 0.846 0.000 0.852 0.148 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 3 0.2530 0.854 0.000 0.000 0.888 0.112
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.2647 0.837 0.880 0.000 0.000 0.120
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.880 1.000 0.000 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.2921 0.823 0.860 0.000 0.000 0.140
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#> AAD9685A-564B-42E9-91E3-431951154BA7 3 0.3899 0.841 0.000 0.052 0.840 0.108
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.3024 0.858 0.000 0.000 0.852 0.148
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.2647 0.837 0.880 0.000 0.000 0.120
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.880 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.2424 0.8335 0.000 0.868 0.132 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.4273 0.2044 0.000 0.000 0.000 0.448 0.552
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 3 0.4302 0.0744 0.000 0.480 0.520 0.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.4287 -0.0480 0.460 0.000 0.000 0.540 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.3857 0.5234 0.000 0.000 0.000 0.312 0.688
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.4307 -0.0200 0.000 0.000 0.000 0.504 0.496
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 4 0.1792 0.8151 0.084 0.000 0.000 0.916 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.4182 0.4932 0.600 0.000 0.000 0.400 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 5 0.4300 0.1110 0.000 0.000 0.000 0.476 0.524
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 4 0.2020 0.8008 0.100 0.000 0.000 0.900 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 1 0.4268 0.3463 0.556 0.000 0.000 0.444 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 4 0.4030 0.3159 0.352 0.000 0.000 0.648 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.4138 0.5262 0.616 0.000 0.000 0.384 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> C5C3241A-684C-4238-9333-9AF8630EC086 3 0.0510 0.9420 0.000 0.016 0.984 0.000 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 4 0.1410 0.8372 0.000 0.000 0.000 0.940 0.060
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.4334 0.6461 0.000 0.744 0.016 0.220 0.020
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 4 0.4327 0.4276 0.008 0.000 0.000 0.632 0.360
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.4074 0.4051 0.000 0.000 0.000 0.364 0.636
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.4262 0.3955 0.560 0.000 0.000 0.440 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 4 0.3857 0.5084 0.000 0.000 0.000 0.688 0.312
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 4 0.4273 -0.0361 0.448 0.000 0.000 0.552 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.4599 0.3238 0.000 0.600 0.016 0.384 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 4 0.2172 0.8187 0.000 0.000 0.016 0.908 0.076
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0566 0.9455 0.000 0.012 0.984 0.000 0.004
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.3561 0.6673 0.740 0.000 0.000 0.260 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 4 0.2891 0.7285 0.000 0.000 0.000 0.824 0.176
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.0510 0.9420 0.000 0.016 0.984 0.000 0.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.3305 0.7259 0.776 0.000 0.000 0.224 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.3480 0.6999 0.752 0.000 0.000 0.248 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 5 0.6158 0.2056 0.000 0.384 0.136 0.000 0.480
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 4 0.3143 0.6865 0.204 0.000 0.000 0.796 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 5 0.3661 0.5793 0.000 0.000 0.000 0.276 0.724
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.3143 0.7403 0.796 0.000 0.000 0.204 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.2074 0.8712 0.000 0.000 0.896 0.000 0.104
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.4074 0.5606 0.636 0.000 0.000 0.364 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 7955FC55-386D-497E-AFED-019BBBAD428E 4 0.5937 0.3811 0.000 0.000 0.300 0.564 0.136
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 5 0.1410 0.8425 0.000 0.000 0.000 0.060 0.940
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 4 0.4161 0.3177 0.000 0.000 0.000 0.608 0.392
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0290 0.9737 0.000 0.992 0.008 0.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.4227 0.3225 0.580 0.000 0.000 0.420 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 4 0.4045 0.3039 0.356 0.000 0.000 0.644 0.000
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 5 0.0510 0.8756 0.000 0.000 0.016 0.000 0.984
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.3561 0.6873 0.740 0.000 0.000 0.260 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 4 0.1270 0.8450 0.000 0.000 0.000 0.948 0.052
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 0E22B729-C381-4B0C-9897-62DD38F51722 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.4138 0.5262 0.616 0.000 0.000 0.384 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.4273 0.3746 0.552 0.000 0.000 0.448 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 4 0.0162 0.8707 0.004 0.000 0.000 0.996 0.000
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 4 0.0609 0.8617 0.000 0.000 0.000 0.980 0.020
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 5 0.3876 0.5158 0.000 0.000 0.316 0.000 0.684
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 5 0.4273 0.1962 0.000 0.000 0.000 0.448 0.552
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 4 0.0162 0.8711 0.000 0.000 0.000 0.996 0.004
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 5 0.0290 0.8813 0.000 0.000 0.000 0.008 0.992
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 5 0.4030 0.4590 0.000 0.000 0.000 0.352 0.648
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.5817 0.5410 0.000 0.000 0.612 0.184 0.204
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.4161 0.5103 0.608 0.000 0.000 0.392 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 4 0.3949 0.3715 0.332 0.000 0.000 0.668 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 4 0.2471 0.7636 0.136 0.000 0.000 0.864 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.3305 0.7259 0.776 0.000 0.000 0.224 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 5 0.3607 0.6381 0.000 0.000 0.004 0.244 0.752
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.3305 0.7259 0.776 0.000 0.000 0.224 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.2230 0.7875 0.000 0.000 0.000 0.116 0.884
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.2966 0.7226 0.000 0.000 0.000 0.816 0.184
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 4 0.2329 0.7770 0.124 0.000 0.000 0.876 0.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0510 0.9420 0.000 0.016 0.984 0.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.2813 0.7410 0.000 0.000 0.000 0.832 0.168
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0566 0.9517 0.000 0.004 0.984 0.000 0.012
#> CED15676-B901-4FC8-9C8D-51E529D9441D 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.2471 0.7810 0.864 0.000 0.000 0.136 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.3305 0.6959 0.000 0.776 0.224 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 4 0.4278 -0.0530 0.452 0.000 0.000 0.548 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 4 0.2329 0.7770 0.124 0.000 0.000 0.876 0.000
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 4 0.4182 0.3288 0.000 0.000 0.000 0.600 0.400
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.1908 0.8126 0.000 0.000 0.000 0.908 0.092
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 4 0.0963 0.8539 0.000 0.000 0.000 0.964 0.036
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0510 0.9544 0.000 0.000 0.984 0.000 0.016
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.2561 0.7545 0.144 0.000 0.000 0.856 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.3305 0.7259 0.776 0.000 0.000 0.224 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 5 0.4268 0.2166 0.000 0.000 0.000 0.444 0.556
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 5 0.3109 0.6926 0.000 0.000 0.000 0.200 0.800
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.3305 0.7259 0.776 0.000 0.000 0.224 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 4 0.0510 0.8634 0.000 0.000 0.016 0.984 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0963 0.8545 0.000 0.000 0.000 0.964 0.036
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.4304 0.2073 0.516 0.000 0.000 0.484 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.1270 0.8107 0.948 0.000 0.000 0.052 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 4 0.2732 0.7344 0.160 0.000 0.000 0.840 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.3983 0.4611 0.000 0.000 0.000 0.340 0.660
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9748 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0000 0.8727 0.000 0.000 0.000 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.1845 0.9086 0.000 0.928 0.016 0.056 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0404 0.9731 0.000 0.988 0.012 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.1341 0.8454 0.000 0.000 0.000 0.056 0.944
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 5 0.0912 0.8667 0.000 0.012 0.016 0.000 0.972
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0000 0.8864 0.000 0.000 0.000 0.000 1.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.3305 0.7259 0.776 0.000 0.000 0.224 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0510 0.9724 0.000 0.984 0.016 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.8220 1.000 0.000 0.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 4 0.0632 0.7218 0.000 0.000 0.000 0.976 0.000 0.024
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.3695 0.4531 0.000 0.624 0.000 0.000 0.000 0.376
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.2631 0.6234 0.000 0.000 0.000 0.820 0.000 0.180
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.2912 0.6687 0.000 0.784 0.000 0.000 0.000 0.216
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0000 0.7178 0.000 0.000 0.000 1.000 0.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.3804 0.3586 0.000 0.576 0.000 0.000 0.000 0.424
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.2135 0.6527 0.000 0.872 0.128 0.000 0.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 4 0.5706 0.4144 0.000 0.000 0.000 0.488 0.336 0.176
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.3804 0.3586 0.000 0.576 0.000 0.000 0.000 0.424
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.1327 0.7995 0.936 0.000 0.000 0.000 0.000 0.064
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 3 0.3531 0.4061 0.000 0.328 0.672 0.000 0.000 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 4 0.3883 0.4046 0.332 0.000 0.000 0.656 0.000 0.012
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.3390 0.5229 0.000 0.000 0.000 0.296 0.704 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.9472 0.000 0.000 1.000 0.000 0.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 4 0.2631 0.7083 0.000 0.000 0.000 0.820 0.000 0.180
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0000 0.8379 1.000 0.000 0.000 0.000 0.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.2454 0.7586 0.840 0.000 0.000 0.000 0.000 0.160
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.3817 0.2944 0.000 0.000 0.000 0.432 0.568 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 4 0.3050 0.5898 0.000 0.000 0.000 0.764 0.000 0.236
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.1863 0.7548 0.000 0.896 0.000 0.000 0.000 0.104
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.3221 0.6220 0.000 0.736 0.000 0.000 0.000 0.264
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.1501 0.7234 0.000 0.000 0.000 0.924 0.000 0.076
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 4 0.2454 0.6710 0.000 0.000 0.000 0.840 0.000 0.160
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.8379 1.000 0.000 0.000 0.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 4 0.5640 0.5275 0.192 0.000 0.000 0.528 0.000 0.280
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.8379 1.000 0.000 0.000 0.000 0.000 0.000
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#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 5 0.4631 0.5420 0.000 0.000 0.000 0.140 0.692 0.168
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.2912 0.5561 0.000 0.000 0.000 0.784 0.216 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 4 0.3050 0.5898 0.000 0.000 0.000 0.764 0.000 0.236
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.3804 0.3586 0.000 0.576 0.000 0.000 0.000 0.424
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.3804 0.3586 0.000 0.576 0.000 0.000 0.000 0.424
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.0000 0.7178 0.000 0.000 0.000 1.000 0.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.8379 1.000 0.000 0.000 0.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 3 0.0000 0.9472 0.000 0.000 1.000 0.000 0.000 0.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.2762 0.5804 0.000 0.000 0.000 0.804 0.196 0.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 3 0.0000 0.9472 0.000 0.000 1.000 0.000 0.000 0.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0000 0.9472 0.000 0.000 1.000 0.000 0.000 0.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 4 0.2631 0.7083 0.000 0.000 0.000 0.820 0.000 0.180
#> 827232CC-8035-440C-8B12-02C789C70B1B 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.4860 0.5624 0.664 0.000 0.000 0.176 0.000 0.160
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.0000 0.9472 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.8379 1.000 0.000 0.000 0.000 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.2969 0.4991 0.000 0.776 0.224 0.000 0.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 4 0.4982 0.5966 0.084 0.000 0.000 0.576 0.000 0.340
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 4 0.3050 0.5898 0.000 0.000 0.000 0.764 0.000 0.236
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.8379 1.000 0.000 0.000 0.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 4 0.3890 0.3458 0.000 0.000 0.000 0.596 0.400 0.004
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.1714 0.6778 0.000 0.000 0.000 0.908 0.092 0.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 4 0.3940 0.6380 0.000 0.000 0.000 0.640 0.012 0.348
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 6 0.3756 0.2383 0.000 0.400 0.000 0.000 0.000 0.600
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.0146 0.7187 0.000 0.000 0.000 0.996 0.000 0.004
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 4 0.0000 0.7178 0.000 0.000 0.000 1.000 0.000 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.0000 0.9472 0.000 0.000 1.000 0.000 0.000 0.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 4 0.3295 0.6336 0.056 0.000 0.000 0.816 0.000 0.128
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.5910 0.1267 0.460 0.000 0.000 0.308 0.000 0.232
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.5714 0.4899 0.000 0.000 0.000 0.484 0.176 0.340
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 5 0.5224 0.4205 0.000 0.000 0.000 0.228 0.608 0.164
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 4 0.5642 0.1358 0.352 0.000 0.000 0.488 0.000 0.160
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.2454 0.7586 0.840 0.000 0.000 0.000 0.000 0.160
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.2883 0.3670 0.000 0.000 0.000 0.212 0.000 0.788
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.2631 0.7083 0.000 0.000 0.000 0.820 0.000 0.180
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.3804 0.3586 0.000 0.576 0.000 0.000 0.000 0.424
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.8379 1.000 0.000 0.000 0.000 0.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 4 0.3050 0.5898 0.000 0.000 0.000 0.764 0.000 0.236
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0790 0.7100 0.000 0.000 0.000 0.968 0.032 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 4 0.5081 0.6041 0.104 0.000 0.000 0.588 0.000 0.308
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.8379 1.000 0.000 0.000 0.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.8379 1.000 0.000 0.000 0.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.1267 0.7963 0.940 0.000 0.000 0.060 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.3602 0.7307 0.784 0.000 0.000 0.056 0.000 0.160
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 4 0.2416 0.6448 0.156 0.000 0.000 0.844 0.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.2631 0.7083 0.000 0.000 0.000 0.820 0.000 0.180
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 5 0.2854 0.7018 0.000 0.000 0.000 0.000 0.792 0.208
#> E9C28902-05C9-4883-97A4-D612D54E46B4 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.4199 0.2542 0.000 0.000 0.000 0.380 0.600 0.020
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.3221 0.6220 0.000 0.736 0.000 0.000 0.000 0.264
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.8087 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.3547 0.5288 0.000 0.668 0.000 0.000 0.000 0.332
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0000 0.7178 0.000 0.000 0.000 1.000 0.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 6 0.3765 0.2252 0.000 0.404 0.000 0.000 0.000 0.596
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.1663 0.7647 0.000 0.912 0.000 0.000 0.000 0.088
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.8379 1.000 0.000 0.000 0.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.0547 0.8672 0.000 0.000 0.000 0.020 0.980 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.8379 1.000 0.000 0.000 0.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.8379 1.000 0.000 0.000 0.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 5 0.4129 0.3249 0.000 0.012 0.000 0.000 0.564 0.424
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.6123 -0.1246 0.352 0.000 0.000 0.308 0.000 0.340
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.3804 0.3586 0.000 0.576 0.000 0.000 0.000 0.424
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.8379 1.000 0.000 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "mclust"]
# you can also extract it by
# res = res_list["ATC:mclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17377 rows and 265 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 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 0.982 0.993 0.438 0.568 0.568
#> 3 3 0.985 0.932 0.968 0.143 0.931 0.880
#> 4 4 0.682 0.664 0.825 0.248 0.897 0.797
#> 5 5 0.687 0.700 0.842 0.119 0.910 0.786
#> 6 6 0.619 0.627 0.769 0.101 0.824 0.527
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 1.000 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.989 1.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 1.000 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 1.000 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0000 0.989 1.000 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 1.000 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0000 0.989 1.000 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 1.000 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 1.000 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.989 1.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.989 1.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 1.000 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 1.000 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.989 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 1.000 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.989 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.0000 0.989 1.000 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.0000 0.989 1.000 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.989 1.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.0000 0.989 1.000 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 2 0.0000 1.000 0.000 1.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.989 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0000 0.989 1.000 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.0000 0.989 1.000 0.000
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 1.000 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 1.000 0.000 1.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.0000 0.989 1.000 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.989 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.989 1.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.989 1.000 0.000
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#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.989 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 1.000 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 1 0.7056 0.765 0.808 0.192
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 1.000 0.000 1.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.0000 0.989 1.000 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 1.000 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.989 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 1.000 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.0000 0.989 1.000 0.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 1.000 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.0000 0.989 1.000 0.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0000 1.000 0.000 1.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.989 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.989 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.989 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.989 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.989 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.0000 0.989 1.000 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 1.000 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 1.000 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.989 1.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.989 1.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 1.000 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 1.000 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 1.000 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.0000 0.989 1.000 0.000
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 1 0.0938 0.978 0.988 0.012
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 1.000 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 1.000 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.989 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.0000 0.989 1.000 0.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.989 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.989 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 1.000 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.989 1.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.989 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 1.000 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.989 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.987 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.0000 0.975 1.000 0.000 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.987 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.987 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.0892 0.971 0.980 0.000 0.020
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.987 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.0892 0.971 0.980 0.000 0.020
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.987 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.987 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0000 0.975 1.000 0.000 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.0000 0.975 1.000 0.000 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.987 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.987 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.1163 0.969 0.972 0.000 0.028
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.6140 0.254 0.000 0.596 0.404
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.975 1.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.1031 0.970 0.976 0.000 0.024
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 1 0.1289 0.967 0.968 0.000 0.032
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0000 0.975 1.000 0.000 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.1289 0.953 0.968 0.000 0.032
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 3 0.1289 0.788 0.000 0.032 0.968
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.975 1.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.0747 0.972 0.984 0.000 0.016
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.1411 0.966 0.964 0.000 0.036
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.987 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.987 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.1031 0.960 0.976 0.000 0.024
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.975 1.000 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0000 0.975 1.000 0.000 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.975 1.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.1163 0.969 0.972 0.000 0.028
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.975 1.000 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.975 1.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 3 0.1399 0.782 0.028 0.004 0.968
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.987 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.1289 0.953 0.968 0.000 0.032
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 3 0.1289 0.788 0.000 0.032 0.968
#> 655BD3AF-5094-4B19-93A8-401C70369B17 3 0.5216 0.570 0.000 0.260 0.740
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 3 0.1289 0.788 0.000 0.032 0.968
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.975 1.000 0.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 1 0.1289 0.967 0.968 0.000 0.032
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.987 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.1399 0.788 0.004 0.028 0.968
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.1163 0.969 0.972 0.000 0.028
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.5431 0.558 0.000 0.716 0.284
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.987 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 1 0.2261 0.940 0.932 0.000 0.068
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 1 0.1163 0.969 0.972 0.000 0.028
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.975 1.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.987 0.000 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.0424 0.972 0.992 0.000 0.008
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.975 1.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.975 1.000 0.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 1 0.0747 0.972 0.984 0.000 0.016
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.0000 0.975 1.000 0.000 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.975 1.000 0.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 1 0.1411 0.966 0.964 0.000 0.036
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 1 0.1289 0.953 0.968 0.000 0.032
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 1 0.0424 0.971 0.992 0.000 0.008
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.987 0.000 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.987 0.000 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.987 0.000 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.975 1.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.0000 0.975 1.000 0.000 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.975 1.000 0.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 1 0.1163 0.969 0.972 0.000 0.028
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 1 0.1163 0.957 0.972 0.000 0.028
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 1 0.0747 0.972 0.984 0.000 0.016
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 1 0.1031 0.960 0.976 0.000 0.024
#> 251094BE-C33D-44F0-BD98-8618D71F520C 1 0.0000 0.975 1.000 0.000 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.975 1.000 0.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.0000 0.975 1.000 0.000 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.987 0.000 1.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.1860 0.932 0.000 0.948 0.052
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 3 0.1643 0.782 0.000 0.044 0.956
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.987 0.000 1.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 1 0.0000 0.975 1.000 0.000 0.000
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 1 0.1411 0.966 0.964 0.000 0.036
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.975 1.000 0.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.975 1.000 0.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.987 0.000 1.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.6520 -0.125 0.508 0.004 0.488
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.975 1.000 0.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.0592 0.969 0.988 0.000 0.012
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.8637 0.223 0.448 0.100 0.452
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 1 0.1163 0.969 0.972 0.000 0.028
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.975 1.000 0.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.987 0.000 1.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.987 0.000 1.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.975 1.000 0.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.975 1.000 0.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 1 0.0000 0.975 1.000 0.000 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 1 0.1289 0.968 0.968 0.000 0.032
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.1411 0.950 0.000 0.964 0.036
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 1 0.1031 0.970 0.976 0.000 0.024
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 1 0.1163 0.969 0.972 0.000 0.028
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.975 1.000 0.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 1 0.1163 0.957 0.972 0.000 0.028
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.975 1.000 0.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 1 0.1289 0.953 0.968 0.000 0.032
#> 82AB290A-3993-45E5-8B15-6125A019778C 1 0.0000 0.975 1.000 0.000 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.987 0.000 1.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 1 0.1163 0.969 0.972 0.000 0.028
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.975 1.000 0.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.987 0.000 1.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 1 0.1411 0.966 0.964 0.000 0.036
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 1 0.1411 0.966 0.964 0.000 0.036
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 1 0.0000 0.975 1.000 0.000 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 1 0.1411 0.966 0.964 0.000 0.036
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.0000 0.975 1.000 0.000 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.987 0.000 1.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 1 0.5465 0.551 0.712 0.000 0.288
#> EF12E923-1860-4269-B57B-BA6238FA4403 1 0.1163 0.969 0.972 0.000 0.028
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.0000 0.975 1.000 0.000 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 1 0.1411 0.966 0.964 0.000 0.036
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 1 0.1163 0.969 0.972 0.000 0.028
#> 7955FC55-386D-497E-AFED-019BBBAD428E 1 0.1411 0.966 0.964 0.000 0.036
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 1 0.1289 0.967 0.968 0.000 0.032
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 1 0.0000 0.975 1.000 0.000 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 1 0.1753 0.938 0.952 0.000 0.048
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 1 0.0000 0.975 1.000 0.000 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.975 1.000 0.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.1031 0.970 0.976 0.000 0.024
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.987 0.000 1.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 1 0.1163 0.969 0.972 0.000 0.028
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.0000 0.975 1.000 0.000 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.0000 0.975 1.000 0.000 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.987 0.000 1.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 3 0.1289 0.788 0.000 0.032 0.968
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.987 0.000 1.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 3 0.1289 0.788 0.000 0.032 0.968
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.987 0.000 1.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.0000 0.975 1.000 0.000 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.0000 0.987 0.000 1.000 0.000
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.987 0.000 1.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.0000 0.975 1.000 0.000 0.000
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.987 0.000 1.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 1 0.1163 0.969 0.972 0.000 0.028
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.987 0.000 1.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 1 0.1411 0.966 0.964 0.000 0.036
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 1 0.1411 0.966 0.964 0.000 0.036
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 1 0.1163 0.969 0.972 0.000 0.028
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0000 0.987 0.000 1.000 0.000
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 1 0.1163 0.969 0.972 0.000 0.028
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 1 0.1031 0.970 0.976 0.000 0.024
#> 0E22B729-C381-4B0C-9897-62DD38F51722 1 0.3482 0.837 0.872 0.000 0.128
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.0000 0.975 1.000 0.000 0.000
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.1163 0.969 0.972 0.000 0.028
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.975 1.000 0.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 3 0.1399 0.782 0.028 0.004 0.968
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 1 0.1163 0.969 0.972 0.000 0.028
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.975 1.000 0.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 1 0.1163 0.969 0.972 0.000 0.028
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 1 0.0000 0.975 1.000 0.000 0.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 1 0.0000 0.975 1.000 0.000 0.000
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 1 0.1163 0.969 0.972 0.000 0.028
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 1 0.0000 0.975 1.000 0.000 0.000
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 1 0.1289 0.953 0.968 0.000 0.032
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 1 0.1411 0.966 0.964 0.000 0.036
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.1163 0.969 0.972 0.000 0.028
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.987 0.000 1.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.987 0.000 1.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.975 1.000 0.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 1 0.1411 0.966 0.964 0.000 0.036
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.975 1.000 0.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.0000 0.975 1.000 0.000 0.000
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0000 0.975 1.000 0.000 0.000
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 1 0.1411 0.966 0.964 0.000 0.036
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.987 0.000 1.000 0.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.987 0.000 1.000 0.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 1 0.1163 0.969 0.972 0.000 0.028
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 1 0.1163 0.969 0.972 0.000 0.028
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.987 0.000 1.000 0.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.975 1.000 0.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.975 1.000 0.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.987 0.000 1.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.975 1.000 0.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 3 0.4974 0.615 0.000 0.236 0.764
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 3 0.4291 0.697 0.180 0.000 0.820
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.987 0.000 1.000 0.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.987 0.000 1.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 1 0.1163 0.969 0.972 0.000 0.028
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.987 0.000 1.000 0.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 1 0.0000 0.975 1.000 0.000 0.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 1 0.1031 0.970 0.976 0.000 0.024
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 1 0.1411 0.966 0.964 0.000 0.036
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 1 0.0000 0.975 1.000 0.000 0.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 1 0.1163 0.969 0.972 0.000 0.028
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.987 0.000 1.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.987 0.000 1.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 1 0.0000 0.975 1.000 0.000 0.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.0000 0.975 1.000 0.000 0.000
#> C3921A29-80FF-4B9D-B366-5C0238A42231 1 0.1163 0.969 0.972 0.000 0.028
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.975 1.000 0.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 1 0.1411 0.966 0.964 0.000 0.036
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.987 0.000 1.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.987 0.000 1.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 1 0.1163 0.969 0.972 0.000 0.028
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 1 0.1163 0.969 0.972 0.000 0.028
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 1 0.2261 0.940 0.932 0.000 0.068
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.0000 0.975 1.000 0.000 0.000
#> 827232CC-8035-440C-8B12-02C789C70B1B 1 0.1163 0.969 0.972 0.000 0.028
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.987 0.000 1.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.975 1.000 0.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 1 0.1289 0.967 0.968 0.000 0.032
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.987 0.000 1.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.975 1.000 0.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.987 0.000 1.000 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.975 1.000 0.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.987 0.000 1.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.1163 0.969 0.972 0.000 0.028
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.987 0.000 1.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.987 0.000 1.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.987 0.000 1.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.975 1.000 0.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.0000 0.975 1.000 0.000 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 3 0.5623 0.623 0.280 0.004 0.716
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.1163 0.969 0.972 0.000 0.028
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0592 0.976 0.000 0.988 0.012
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.1163 0.969 0.972 0.000 0.028
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.1163 0.969 0.972 0.000 0.028
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 1 0.1411 0.966 0.964 0.000 0.036
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0592 0.973 0.988 0.000 0.012
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.975 1.000 0.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.2165 0.922 0.936 0.000 0.064
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 3 0.1399 0.782 0.028 0.004 0.968
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.975 1.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.975 1.000 0.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.987 0.000 1.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.7015 0.409 0.392 0.024 0.584
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 3 0.1289 0.788 0.000 0.032 0.968
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.1289 0.967 0.968 0.000 0.032
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.987 0.000 1.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.975 1.000 0.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.987 0.000 1.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 1 0.6215 0.193 0.572 0.000 0.428
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 3 0.6286 0.152 0.000 0.464 0.536
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.2356 0.935 0.928 0.000 0.072
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 3 0.1643 0.782 0.000 0.044 0.956
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.975 1.000 0.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.975 1.000 0.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.975 1.000 0.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.975 1.000 0.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0592 0.973 0.988 0.000 0.012
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.2448 0.907 0.924 0.000 0.076
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.987 0.000 1.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 3 0.6095 0.347 0.000 0.392 0.608
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.0000 0.975 1.000 0.000 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.0000 0.975 1.000 0.000 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.987 0.000 1.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.987 0.000 1.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.987 0.000 1.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.1163 0.969 0.972 0.000 0.028
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.6516 0.175 0.480 0.004 0.516
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.987 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.987 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.975 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.4702 0.701 0.788 0.000 0.212
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.975 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.975 1.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0424 0.979 0.000 0.992 0.008
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.0000 0.975 1.000 0.000 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.975 1.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.987 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.975 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 1 0.1978 0.6849 0.928 0.000 0.068 0.004
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.4008 0.4080 0.756 0.000 0.244 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 1 0.2973 0.5942 0.856 0.000 0.144 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0336 0.9626 0.000 0.992 0.008 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 1 0.0376 0.7265 0.992 0.000 0.004 0.004
#> 1F101D63-478B-40B9-A951-DC3887CFF067 1 0.1510 0.7122 0.956 0.000 0.016 0.028
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.7670 -0.6287 0.448 0.000 0.320 0.232
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.6633 -0.0291 0.000 0.500 0.084 0.416
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0376 0.7267 0.992 0.000 0.004 0.004
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 1 0.3751 0.5076 0.800 0.000 0.196 0.004
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.5112 0.8927 0.436 0.000 0.560 0.004
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.0336 0.7262 0.992 0.000 0.008 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.5252 0.3067 0.644 0.000 0.020 0.336
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 4 0.5112 0.7229 0.000 0.004 0.436 0.560
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0469 0.7258 0.988 0.000 0.012 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 1 0.1902 0.6942 0.932 0.000 0.064 0.004
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 1 0.7597 -0.6697 0.440 0.000 0.356 0.204
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 1 0.5173 0.3301 0.660 0.000 0.020 0.320
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.7270 1.000 0.000 0.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.0336 0.7270 0.992 0.000 0.000 0.008
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0592 0.7240 0.984 0.000 0.016 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 1 0.4193 0.3479 0.732 0.000 0.268 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0188 0.7273 0.996 0.000 0.004 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0707 0.7226 0.980 0.000 0.020 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 4 0.0336 0.7576 0.000 0.000 0.008 0.992
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.5440 0.2375 0.596 0.000 0.020 0.384
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 4 0.4964 0.7399 0.000 0.004 0.380 0.616
#> 655BD3AF-5094-4B19-93A8-401C70369B17 4 0.7569 0.6246 0.000 0.196 0.368 0.436
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 4 0.4655 0.7495 0.000 0.004 0.312 0.684
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0592 0.7246 0.984 0.000 0.016 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.5080 0.9273 0.420 0.000 0.576 0.004
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 4 0.4500 0.7490 0.000 0.000 0.316 0.684
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 1 0.4222 0.3363 0.728 0.000 0.272 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.4964 0.6007 0.000 0.724 0.032 0.244
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9688 0.000 1.000 0.000 0.000
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#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0592 0.7240 0.984 0.000 0.016 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 1 0.1661 0.7001 0.944 0.000 0.052 0.004
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.2480 0.7322 0.088 0.000 0.008 0.904
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 1 0.4193 0.3479 0.732 0.000 0.268 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.3597 0.8042 0.000 0.836 0.148 0.016
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.3356 0.5455 0.824 0.000 0.176 0.000
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 1 0.4193 0.3479 0.732 0.000 0.268 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.5229 0.9068 0.428 0.000 0.564 0.008
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.3764 0.4701 0.784 0.000 0.216 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0524 0.7254 0.988 0.000 0.008 0.004
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.5506 0.1136 0.512 0.000 0.016 0.472
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 4 0.0336 0.7576 0.000 0.000 0.008 0.992
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.7270 1.000 0.000 0.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0188 0.7273 0.996 0.000 0.004 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 4 0.4236 0.7251 0.088 0.000 0.088 0.824
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 4 0.5016 0.7367 0.000 0.004 0.396 0.600
#> A5199E3A-9D67-4543-88AB-24398C98E38E 1 0.4304 0.3145 0.716 0.000 0.284 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.1042 0.7202 0.972 0.000 0.008 0.020
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 4 0.7488 0.3899 0.180 0.000 0.384 0.436
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 4 0.4872 0.4385 0.000 0.356 0.004 0.640
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 1 0.5284 0.2814 0.696 0.000 0.264 0.040
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 4 0.4677 0.7489 0.000 0.004 0.316 0.680
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0707 0.7226 0.980 0.000 0.020 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0707 0.7226 0.980 0.000 0.020 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0592 0.7246 0.984 0.000 0.016 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0336 0.7260 0.992 0.000 0.008 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.2704 0.6231 0.876 0.000 0.124 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 1 0.5311 0.3034 0.648 0.000 0.024 0.328
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.5933 -0.0445 0.000 0.500 0.036 0.464
#> E9C28902-05C9-4883-97A4-D612D54E46B4 1 0.1545 0.7137 0.952 0.000 0.040 0.008
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 1 0.1209 0.7135 0.964 0.000 0.032 0.004
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 1 0.4343 0.3472 0.732 0.000 0.264 0.004
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.3485 0.7060 0.116 0.000 0.028 0.856
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.1637 0.9163 0.000 0.940 0.060 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0707 0.7226 0.980 0.000 0.020 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.4939 0.5912 0.220 0.000 0.040 0.740
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0707 0.7226 0.980 0.000 0.020 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.7270 1.000 0.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0657 0.9556 0.000 0.984 0.004 0.012
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.5085 0.3523 0.676 0.000 0.020 0.304
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0188 0.7273 0.996 0.000 0.004 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9688 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0707 0.7226 0.980 0.000 0.020 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.1270 0.9248 0.000 0.948 0.000 0.052 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.3427 0.7283 0.056 0.000 0.108 0.000 0.836
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.1410 0.9194 0.000 0.940 0.000 0.060 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 5 0.5091 0.4790 0.044 0.000 0.372 0.000 0.584
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 5 0.4066 0.6920 0.044 0.000 0.188 0.000 0.768
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.3395 0.7312 0.000 0.764 0.000 0.236 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.1571 0.7512 0.060 0.000 0.004 0.000 0.936
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.3430 0.6643 0.220 0.000 0.004 0.000 0.776
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.4179 0.7360 0.000 0.000 0.776 0.072 0.152
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 4 0.2629 0.7352 0.004 0.104 0.012 0.880 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 5 0.0162 0.7497 0.004 0.000 0.000 0.000 0.996
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.4295 0.6752 0.044 0.000 0.216 0.000 0.740
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.1124 0.8350 0.004 0.000 0.960 0.000 0.036
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.1357 0.7524 0.048 0.000 0.004 0.000 0.948
#> 45F15851-55F6-4169-834E-38958C38B6A9 5 0.4321 0.3149 0.396 0.000 0.004 0.000 0.600
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 4 0.0510 0.7565 0.000 0.000 0.016 0.984 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 5 0.0510 0.7476 0.016 0.000 0.000 0.000 0.984
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.3669 0.7201 0.056 0.000 0.128 0.000 0.816
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.3681 0.7602 0.008 0.000 0.820 0.036 0.136
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0162 0.9531 0.000 0.996 0.000 0.004 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 5 0.3906 0.5379 0.292 0.000 0.004 0.000 0.704
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 5 0.0794 0.7524 0.028 0.000 0.000 0.000 0.972
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 5 0.2597 0.7168 0.120 0.000 0.004 0.004 0.872
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 5 0.1628 0.7259 0.056 0.000 0.000 0.008 0.936
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 5 0.5204 0.4424 0.048 0.000 0.392 0.000 0.560
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.0486 0.7497 0.004 0.000 0.004 0.004 0.988
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 5 0.1697 0.7230 0.060 0.000 0.000 0.008 0.932
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.3844 0.4368 0.808 0.000 0.008 0.144 0.040
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.4350 0.3952 0.588 0.000 0.004 0.000 0.408
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 4 0.0510 0.7565 0.000 0.000 0.016 0.984 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 4 0.2172 0.7378 0.000 0.076 0.016 0.908 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 4 0.4275 0.7206 0.288 0.008 0.008 0.696 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.2855 0.7499 0.040 0.000 0.040 0.028 0.892
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0955 0.8355 0.004 0.000 0.968 0.000 0.028
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 4 0.4147 0.6891 0.316 0.000 0.008 0.676 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 5 0.5227 0.3288 0.044 0.000 0.448 0.000 0.508
#> C5C3241A-684C-4238-9333-9AF8630EC086 4 0.3205 0.6724 0.004 0.176 0.004 0.816 0.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0932 0.8307 0.004 0.000 0.972 0.004 0.020
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.5151 0.4371 0.044 0.000 0.396 0.000 0.560
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 5 0.1697 0.7230 0.060 0.000 0.000 0.008 0.932
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0290 0.9512 0.000 0.992 0.000 0.008 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 1 0.3779 0.5388 0.752 0.000 0.012 0.000 0.236
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 5 0.0703 0.7524 0.024 0.000 0.000 0.000 0.976
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.0324 0.7494 0.004 0.000 0.004 0.000 0.992
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.6306 0.2437 0.328 0.000 0.172 0.000 0.500
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 5 0.2514 0.7479 0.044 0.000 0.060 0.000 0.896
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 5 0.2233 0.7174 0.104 0.000 0.004 0.000 0.892
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0771 0.8339 0.004 0.000 0.976 0.000 0.020
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 5 0.3861 0.5519 0.284 0.000 0.004 0.000 0.712
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 5 0.3521 0.6265 0.232 0.000 0.004 0.000 0.764
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.1732 0.9056 0.000 0.920 0.000 0.080 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 5 0.1484 0.7298 0.048 0.000 0.000 0.008 0.944
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.0865 0.7522 0.024 0.000 0.004 0.000 0.972
#> 96038E42-0FBA-497D-819C-38F7689F10FF 5 0.1124 0.7476 0.036 0.000 0.004 0.000 0.960
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 5 0.4949 0.3579 0.020 0.000 0.444 0.004 0.532
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 5 0.3949 0.5237 0.300 0.000 0.004 0.000 0.696
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.4801 0.6138 0.048 0.000 0.284 0.000 0.668
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 5 0.3521 0.6265 0.232 0.000 0.004 0.000 0.764
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.1557 0.7516 0.052 0.000 0.008 0.000 0.940
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.0833 0.7531 0.016 0.000 0.004 0.004 0.976
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.2446 0.7466 0.044 0.000 0.056 0.000 0.900
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.1270 0.9248 0.000 0.948 0.000 0.052 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.3700 0.6848 0.000 0.752 0.008 0.240 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 4 0.4812 0.7307 0.288 0.032 0.008 0.672 0.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 5 0.4904 0.1104 0.368 0.000 0.008 0.020 0.604
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0771 0.8339 0.004 0.000 0.976 0.000 0.020
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 5 0.1697 0.7230 0.060 0.000 0.000 0.008 0.932
#> 71ED572F-7780-47A4-A9F8-D320C737690D 5 0.0162 0.7497 0.004 0.000 0.000 0.000 0.996
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.3210 0.7647 0.000 0.788 0.000 0.212 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 1 0.6064 0.3633 0.664 0.000 0.092 0.180 0.064
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 5 0.0771 0.7482 0.020 0.000 0.000 0.004 0.976
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 5 0.4066 0.4839 0.324 0.000 0.004 0.000 0.672
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.5265 0.0838 0.012 0.008 0.564 0.400 0.016
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 5 0.4589 0.6468 0.048 0.000 0.248 0.000 0.704
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 5 0.0451 0.7494 0.008 0.000 0.004 0.000 0.988
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 5 0.1697 0.7230 0.060 0.000 0.000 0.008 0.932
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 5 0.0671 0.7465 0.016 0.000 0.000 0.004 0.980
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.3093 0.6851 0.168 0.000 0.008 0.000 0.824
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.2927 0.7958 0.040 0.000 0.868 0.000 0.092
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 4 0.3906 0.5352 0.000 0.292 0.004 0.704 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 5 0.4817 0.5849 0.044 0.000 0.300 0.000 0.656
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 5 0.5002 0.5215 0.044 0.000 0.344 0.000 0.612
#> 317CD049-3151-40B7-8E88-B0B8813338D6 5 0.0404 0.7516 0.012 0.000 0.000 0.000 0.988
#> 93835C77-F8FA-4928-843C-8016A91881FA 5 0.3607 0.6114 0.244 0.000 0.004 0.000 0.752
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 5 0.3300 0.6599 0.204 0.000 0.004 0.000 0.792
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 5 0.3700 0.6182 0.240 0.000 0.008 0.000 0.752
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#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 5 0.1697 0.7230 0.060 0.000 0.000 0.008 0.932
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 1 0.3750 0.5465 0.832 0.000 0.012 0.072 0.084
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 5 0.1697 0.7230 0.060 0.000 0.000 0.008 0.932
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 5 0.0404 0.7487 0.012 0.000 0.000 0.000 0.988
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.3752 0.5934 0.000 0.708 0.000 0.292 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 1 0.4758 0.2789 0.552 0.000 0.012 0.004 0.432
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 5 0.0162 0.7497 0.004 0.000 0.000 0.000 0.996
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9549 0.000 1.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 5 0.1484 0.7298 0.048 0.000 0.000 0.008 0.944
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.3695 0.4482 0.000 0.624 0.000 0.000 0.000 0.376
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.2367 0.6800 0.088 0.000 0.016 0.008 0.888 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0260 0.8678 0.008 0.992 0.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.3756 0.4068 0.000 0.600 0.000 0.000 0.000 0.400
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 5 0.2839 0.6989 0.032 0.000 0.100 0.008 0.860 0.000
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 5 0.2078 0.7064 0.032 0.000 0.040 0.012 0.916 0.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.5022 0.3306 0.020 0.556 0.024 0.008 0.000 0.392
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 5 0.1958 0.6609 0.100 0.000 0.000 0.004 0.896 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.3511 0.6582 0.048 0.000 0.004 0.148 0.800 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.5930 0.6571 0.016 0.000 0.648 0.060 0.144 0.132
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 6 0.4021 0.7188 0.016 0.144 0.048 0.008 0.000 0.784
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.4899 0.6348 0.532 0.000 0.000 0.064 0.404 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.2325 0.6948 0.060 0.000 0.048 0.000 0.892 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.1480 0.7543 0.000 0.000 0.940 0.040 0.020 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.3030 0.6710 0.092 0.000 0.004 0.056 0.848 0.000
#> 45F15851-55F6-4169-834E-38958C38B6A9 4 0.3049 0.7124 0.048 0.000 0.004 0.844 0.104 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 6 0.3956 0.7359 0.252 0.000 0.000 0.036 0.000 0.712
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.3888 0.8419 0.672 0.000 0.000 0.016 0.312 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 5 0.2402 0.6979 0.020 0.000 0.008 0.084 0.888 0.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.5599 0.6642 0.004 0.000 0.660 0.060 0.172 0.104
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0632 0.8572 0.000 0.976 0.000 0.000 0.000 0.024
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 4 0.3185 0.7159 0.048 0.000 0.004 0.832 0.116 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 5 0.2346 0.6422 0.124 0.000 0.000 0.008 0.868 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 4 0.5463 0.3718 0.148 0.000 0.000 0.540 0.312 0.000
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.3309 0.8605 0.720 0.000 0.000 0.000 0.280 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 5 0.3421 0.6773 0.044 0.000 0.116 0.016 0.824 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.5974 -0.3738 0.316 0.000 0.004 0.212 0.468 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.3244 0.8569 0.732 0.000 0.000 0.000 0.268 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 4 0.5056 0.0466 0.000 0.000 0.004 0.508 0.064 0.424
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 4 0.2639 0.6843 0.032 0.000 0.008 0.876 0.084 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 6 0.3956 0.7359 0.252 0.000 0.000 0.036 0.000 0.712
#> 655BD3AF-5094-4B19-93A8-401C70369B17 6 0.5741 0.6940 0.256 0.116 0.000 0.036 0.000 0.592
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 6 0.0291 0.7756 0.004 0.004 0.000 0.000 0.000 0.992
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.3479 0.6847 0.060 0.000 0.024 0.060 0.844 0.012
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0725 0.7502 0.000 0.000 0.976 0.012 0.012 0.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 6 0.1534 0.7580 0.004 0.000 0.004 0.032 0.016 0.944
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 5 0.4810 0.5657 0.044 0.000 0.240 0.036 0.680 0.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 6 0.4396 0.6622 0.016 0.188 0.048 0.008 0.000 0.740
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0725 0.7484 0.000 0.000 0.976 0.012 0.012 0.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 5 0.2263 0.6945 0.000 0.000 0.100 0.016 0.884 0.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.3266 0.8569 0.728 0.000 0.000 0.000 0.272 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0405 0.8657 0.004 0.988 0.000 0.000 0.000 0.008
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 5 0.5246 0.3838 0.000 0.000 0.004 0.224 0.620 0.152
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 5 0.3175 0.4369 0.256 0.000 0.000 0.000 0.744 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.5253 0.2265 0.192 0.000 0.000 0.200 0.608 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.4038 0.6187 0.000 0.000 0.036 0.188 0.756 0.020
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 5 0.1863 0.6566 0.104 0.000 0.000 0.000 0.896 0.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 4 0.5572 0.4556 0.156 0.000 0.004 0.552 0.288 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0820 0.7513 0.000 0.000 0.972 0.016 0.012 0.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 4 0.3229 0.7154 0.048 0.000 0.004 0.828 0.120 0.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 4 0.3445 0.7011 0.048 0.000 0.000 0.796 0.156 0.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.3782 0.3834 0.000 0.588 0.000 0.000 0.000 0.412
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.3309 0.8605 0.720 0.000 0.000 0.000 0.280 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 5 0.3735 0.6291 0.120 0.000 0.004 0.084 0.792 0.000
#> 96038E42-0FBA-497D-819C-38F7689F10FF 4 0.5796 0.1490 0.180 0.000 0.000 0.432 0.388 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.4589 0.4484 0.008 0.000 0.580 0.028 0.384 0.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 4 0.3141 0.7151 0.048 0.000 0.004 0.836 0.112 0.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.2981 0.6976 0.020 0.000 0.052 0.064 0.864 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.3408 0.7034 0.048 0.000 0.000 0.800 0.152 0.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.1863 0.6505 0.104 0.000 0.000 0.000 0.896 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 5 0.4107 0.2967 0.280 0.000 0.000 0.036 0.684 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.1672 0.6957 0.048 0.000 0.004 0.016 0.932 0.000
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.3706 0.4415 0.000 0.620 0.000 0.000 0.000 0.380
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.4465 0.5151 0.252 0.692 0.000 0.036 0.000 0.020
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 6 0.0146 0.7760 0.000 0.004 0.000 0.000 0.000 0.996
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 5 0.4260 0.6421 0.048 0.000 0.008 0.144 0.772 0.028
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.0725 0.7502 0.000 0.000 0.976 0.012 0.012 0.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.3244 0.8569 0.732 0.000 0.000 0.000 0.268 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.4002 0.7308 0.588 0.000 0.000 0.008 0.404 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.4228 0.3945 0.020 0.588 0.000 0.000 0.000 0.392
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 5 0.6869 0.1366 0.000 0.000 0.092 0.164 0.460 0.284
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 5 0.3198 0.4358 0.260 0.000 0.000 0.000 0.740 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 4 0.3096 0.7146 0.048 0.000 0.004 0.840 0.108 0.000
#> CD6F9E20-B301-4663-87EC-953EDF49754F 3 0.4471 0.4725 0.016 0.000 0.684 0.028 0.004 0.268
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 5 0.3366 0.7102 0.052 0.000 0.044 0.060 0.844 0.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 4 0.6128 0.0389 0.236 0.000 0.004 0.388 0.372 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.3383 0.8546 0.728 0.000 0.004 0.000 0.268 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.5199 0.7652 0.580 0.000 0.000 0.120 0.300 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 5 0.4352 0.4480 0.052 0.000 0.000 0.280 0.668 0.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 3 0.5368 0.2953 0.004 0.000 0.512 0.084 0.396 0.004
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 6 0.4974 0.4144 0.016 0.312 0.040 0.008 0.000 0.624
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 5 0.2361 0.7056 0.008 0.000 0.064 0.032 0.896 0.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 5 0.2532 0.7043 0.008 0.000 0.076 0.032 0.884 0.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 5 0.3992 0.5465 0.180 0.000 0.000 0.072 0.748 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 4 0.3213 0.7129 0.048 0.000 0.000 0.820 0.132 0.000
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 4 0.4305 0.6074 0.056 0.000 0.004 0.704 0.236 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 4 0.3394 0.7032 0.052 0.000 0.000 0.804 0.144 0.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 5 0.4199 0.5661 0.044 0.000 0.004 0.248 0.704 0.000
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.3144 0.6989 0.004 0.000 0.808 0.016 0.172 0.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 5 0.2378 0.6147 0.152 0.000 0.000 0.000 0.848 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.2568 0.7449 0.000 0.000 0.876 0.056 0.068 0.000
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.1367 0.7516 0.000 0.000 0.944 0.044 0.012 0.000
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 4 0.4700 0.4866 0.060 0.000 0.000 0.600 0.340 0.000
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 3 0.0622 0.7485 0.000 0.000 0.980 0.012 0.008 0.000
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.5688 0.6595 0.496 0.000 0.000 0.176 0.328 0.000
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 4 0.5147 0.4024 0.000 0.000 0.004 0.628 0.132 0.236
#> EF12E923-1860-4269-B57B-BA6238FA4403 5 0.2512 0.6858 0.008 0.000 0.116 0.008 0.868 0.000
#> 51B7241E-F0BE-482A-88AE-89004BB68989 5 0.3409 0.3369 0.300 0.000 0.000 0.000 0.700 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 3 0.0665 0.7405 0.000 0.000 0.980 0.008 0.008 0.004
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 5 0.3975 0.6635 0.044 0.000 0.132 0.036 0.788 0.000
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.5622 0.6645 0.004 0.000 0.660 0.064 0.168 0.104
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 3 0.5261 0.6176 0.004 0.000 0.652 0.060 0.244 0.040
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 5 0.3725 0.6433 0.048 0.000 0.004 0.172 0.776 0.000
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 5 0.4946 0.4573 0.000 0.000 0.008 0.260 0.644 0.088
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 5 0.3316 0.6668 0.052 0.000 0.000 0.136 0.812 0.000
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.5633 0.6468 0.468 0.000 0.000 0.152 0.380 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 5 0.3108 0.6931 0.076 0.000 0.076 0.004 0.844 0.000
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 3 0.4200 0.6291 0.008 0.000 0.696 0.032 0.264 0.000
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 5 0.2146 0.6414 0.116 0.000 0.000 0.004 0.880 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 4 0.5906 0.2666 0.184 0.000 0.004 0.460 0.352 0.000
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 6 0.3956 0.7359 0.252 0.000 0.000 0.036 0.000 0.712
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 6 0.2243 0.6763 0.000 0.004 0.112 0.004 0.000 0.880
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.3371 0.8574 0.708 0.000 0.000 0.000 0.292 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.4033 0.3866 0.004 0.588 0.000 0.004 0.000 0.404
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
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#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
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#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
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#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 5 0.1663 0.6673 0.088 0.000 0.000 0.000 0.912 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 5 0.6063 0.1036 0.000 0.000 0.004 0.244 0.452 0.300
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 5 0.3594 0.6084 0.008 0.000 0.204 0.020 0.768 0.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.4795 0.2978 0.056 0.544 0.000 0.000 0.000 0.400
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 5 0.2641 0.6916 0.048 0.000 0.072 0.000 0.876 0.004
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#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 4 0.2001 0.6506 0.004 0.000 0.004 0.900 0.092 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 4 0.5047 0.0728 0.000 0.000 0.004 0.516 0.064 0.416
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 5 0.2378 0.6137 0.152 0.000 0.000 0.000 0.848 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.6237 0.3110 0.360 0.000 0.004 0.336 0.300 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.6772 0.2490 0.000 0.000 0.440 0.104 0.116 0.340
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.3956 0.7359 0.252 0.000 0.000 0.036 0.000 0.712
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.5248 0.5963 0.004 0.000 0.640 0.056 0.264 0.036
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.4961 0.6813 0.564 0.000 0.004 0.064 0.368 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0547 0.8594 0.000 0.980 0.000 0.000 0.000 0.020
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.6598 0.3165 0.236 0.000 0.492 0.056 0.000 0.216
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 6 0.1082 0.7767 0.000 0.040 0.004 0.000 0.000 0.956
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 5 0.4445 0.6590 0.044 0.000 0.100 0.060 0.780 0.016
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 6 0.0405 0.7768 0.004 0.008 0.000 0.000 0.000 0.988
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.3244 0.8569 0.732 0.000 0.000 0.000 0.268 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.3244 0.8569 0.732 0.000 0.000 0.000 0.268 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.3464 0.8484 0.688 0.000 0.000 0.000 0.312 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 5 0.5157 -0.3937 0.440 0.000 0.004 0.072 0.484 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.2179 0.6910 0.064 0.000 0.036 0.000 0.900 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.4528 0.4546 0.000 0.000 0.004 0.316 0.636 0.044
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0547 0.8592 0.000 0.980 0.000 0.000 0.000 0.020
#> 019B857C-D4F7-4B67-B699-56E52A60805B 6 0.0458 0.7783 0.000 0.016 0.000 0.000 0.000 0.984
#> E9C28902-05C9-4883-97A4-D612D54E46B4 5 0.3284 0.6767 0.056 0.000 0.008 0.104 0.832 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.2070 0.6734 0.092 0.000 0.012 0.000 0.896 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.8695 0.000 1.000 0.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0260 0.8678 0.008 0.992 0.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 5 0.3951 0.6730 0.044 0.000 0.092 0.040 0.812 0.012
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 5 0.6028 0.1370 0.000 0.000 0.004 0.276 0.468 0.252
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0777 0.8544 0.024 0.972 0.000 0.000 0.000 0.004
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.3244 0.8569 0.732 0.000 0.000 0.000 0.268 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 5 0.5815 0.2290 0.000 0.000 0.004 0.244 0.524 0.228
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.3244 0.8569 0.732 0.000 0.000 0.000 0.268 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 5 0.3867 -0.4916 0.488 0.000 0.000 0.000 0.512 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 6 0.3789 0.1348 0.000 0.416 0.000 0.000 0.000 0.584
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 5 0.3969 0.5211 0.004 0.000 0.008 0.268 0.708 0.012
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.4096 0.5516 0.508 0.000 0.000 0.008 0.484 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0146 0.8691 0.004 0.996 0.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.3309 0.8605 0.720 0.000 0.000 0.000 0.280 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 17377 rows and 265 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.945 0.954 0.979 0.4209 0.577 0.577
#> 3 3 0.952 0.941 0.976 0.5148 0.657 0.465
#> 4 4 0.716 0.753 0.877 0.1220 0.895 0.723
#> 5 5 0.724 0.620 0.805 0.0956 0.829 0.502
#> 6 6 0.705 0.561 0.739 0.0445 0.886 0.564
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
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.986 0.000 1.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 2 0.3733 0.913 0.072 0.928
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.986 0.000 1.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.986 0.000 1.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 1 0.3431 0.916 0.936 0.064
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.986 0.000 1.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 2 0.1184 0.971 0.016 0.984
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.986 0.000 1.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.986 0.000 1.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 2 0.6247 0.809 0.156 0.844
#> 1F101D63-478B-40B9-A951-DC3887CFF067 2 0.0000 0.986 0.000 1.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.986 0.000 1.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.986 0.000 1.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.962 1.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.0000 0.986 0.000 1.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.962 1.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 2 0.0000 0.986 0.000 1.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 2 0.0000 0.986 0.000 1.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.7453 0.751 0.788 0.212
#> 45F15851-55F6-4169-834E-38958C38B6A9 2 0.0000 0.986 0.000 1.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0000 0.962 1.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.962 1.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 2 0.0000 0.986 0.000 1.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 2 0.7376 0.732 0.208 0.792
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.986 0.000 1.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.986 0.000 1.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 2 0.0000 0.986 0.000 1.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.0000 0.962 1.000 0.000
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.3274 0.919 0.940 0.060
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.962 1.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 2 0.0000 0.986 0.000 1.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.0000 0.962 1.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.962 1.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 2 0.0000 0.986 0.000 1.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.986 0.000 1.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 2 0.0000 0.986 0.000 1.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.1414 0.967 0.020 0.980
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.986 0.000 1.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 2 0.9129 0.500 0.328 0.672
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.962 1.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 2 0.0000 0.986 0.000 1.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.986 0.000 1.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.0000 0.986 0.000 1.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 2 0.0000 0.986 0.000 1.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 2 0.0000 0.986 0.000 1.000
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.986 0.000 1.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 2 0.0000 0.986 0.000 1.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 2 0.0376 0.982 0.004 0.996
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.962 1.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.986 0.000 1.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 2 0.0000 0.986 0.000 1.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.962 1.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.0000 0.962 1.000 0.000
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 2 0.0000 0.986 0.000 1.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 1 0.9686 0.383 0.604 0.396
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.0000 0.962 1.000 0.000
#> B344A530-92CD-468B-847A-DF8E25688081 2 0.0000 0.986 0.000 1.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 2 0.2948 0.935 0.052 0.948
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 2 0.6801 0.775 0.180 0.820
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.986 0.000 1.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.986 0.000 1.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.986 0.000 1.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.962 1.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.8555 0.641 0.720 0.280
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0000 0.962 1.000 0.000
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 2 0.0000 0.986 0.000 1.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 2 0.0000 0.986 0.000 1.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 2 0.0000 0.986 0.000 1.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 2 0.0000 0.986 0.000 1.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 2 0.5842 0.831 0.140 0.860
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.0000 0.962 1.000 0.000
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.7299 0.763 0.796 0.204
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.986 0.000 1.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.986 0.000 1.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.986 0.000 1.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.986 0.000 1.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 2 0.7299 0.738 0.204 0.796
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 2 0.0000 0.986 0.000 1.000
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.0000 0.962 1.000 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.0000 0.962 1.000 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.986 0.000 1.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 2 0.0000 0.986 0.000 1.000
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.0000 0.962 1.000 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 1 0.4431 0.891 0.908 0.092
#> CD6F9E20-B301-4663-87EC-953EDF49754F 2 0.0000 0.986 0.000 1.000
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 2 0.0000 0.986 0.000 1.000
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0000 0.962 1.000 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.986 0.000 1.000
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#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.0000 0.962 1.000 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.0000 0.962 1.000 0.000
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 2 0.0000 0.986 0.000 1.000
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 2 0.0000 0.986 0.000 1.000
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.0000 0.986 0.000 1.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 2 0.0000 0.986 0.000 1.000
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 2 0.0000 0.986 0.000 1.000
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.0000 0.962 1.000 0.000
#> 93835C77-F8FA-4928-843C-8016A91881FA 2 0.9000 0.527 0.316 0.684
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 1 0.0000 0.962 1.000 0.000
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 2 0.0000 0.986 0.000 1.000
#> 82AB290A-3993-45E5-8B15-6125A019778C 2 0.0000 0.986 0.000 1.000
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#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 2 0.0000 0.986 0.000 1.000
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 1 0.0000 0.962 1.000 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.986 0.000 1.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 2 0.0000 0.986 0.000 1.000
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#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.0000 0.962 1.000 0.000
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 1 0.9833 0.304 0.576 0.424
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#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 2 0.0000 0.986 0.000 1.000
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 2 0.0000 0.986 0.000 1.000
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#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 1 0.7299 0.763 0.796 0.204
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.0000 0.962 1.000 0.000
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.5294 0.864 0.880 0.120
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 2 0.0000 0.986 0.000 1.000
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.0000 0.962 1.000 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 2 0.0000 0.986 0.000 1.000
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 2 0.0000 0.986 0.000 1.000
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 2 0.5519 0.846 0.128 0.872
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 2 0.0000 0.986 0.000 1.000
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#> 79499169-A093-4E0A-B6BD-010CD7BE5035 2 0.9393 0.432 0.356 0.644
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 2 0.0000 0.986 0.000 1.000
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 1 0.0000 0.962 1.000 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.986 0.000 1.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.986 0.000 1.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.0000 0.962 1.000 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 2 0.0000 0.986 0.000 1.000
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.0000 0.962 1.000 0.000
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 1 0.3431 0.916 0.936 0.064
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.0938 0.954 0.988 0.012
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 2 0.0000 0.986 0.000 1.000
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.0000 0.986 0.000 1.000
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.0000 0.986 0.000 1.000
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 2 0.0000 0.986 0.000 1.000
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 2 0.0000 0.986 0.000 1.000
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.0000 0.986 0.000 1.000
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 1 0.0000 0.962 1.000 0.000
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.0000 0.962 1.000 0.000
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.986 0.000 1.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0000 0.962 1.000 0.000
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.0000 0.986 0.000 1.000
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.962 1.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0000 0.986 0.000 1.000
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.986 0.000 1.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 2 0.0000 0.986 0.000 1.000
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.0000 0.986 0.000 1.000
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 2 0.0000 0.986 0.000 1.000
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 2 0.0000 0.986 0.000 1.000
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 2 0.0000 0.986 0.000 1.000
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 2 0.0000 0.986 0.000 1.000
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 2 0.0000 0.986 0.000 1.000
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.986 0.000 1.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.986 0.000 1.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 2 0.0000 0.986 0.000 1.000
#> C06603C2-163D-40B6-A9FE-882424F18FE9 1 0.5294 0.864 0.880 0.120
#> C3921A29-80FF-4B9D-B366-5C0238A42231 2 0.0000 0.986 0.000 1.000
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.0000 0.962 1.000 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 2 0.0000 0.986 0.000 1.000
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.986 0.000 1.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.986 0.000 1.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 2 0.0000 0.986 0.000 1.000
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 2 0.0000 0.986 0.000 1.000
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 2 0.0000 0.986 0.000 1.000
#> CED15676-B901-4FC8-9C8D-51E529D9441D 1 0.8861 0.595 0.696 0.304
#> 827232CC-8035-440C-8B12-02C789C70B1B 2 0.0000 0.986 0.000 1.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.986 0.000 1.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0000 0.962 1.000 0.000
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 2 0.0000 0.986 0.000 1.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.986 0.000 1.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.0000 0.962 1.000 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.0000 0.986 0.000 1.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.0000 0.962 1.000 0.000
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.986 0.000 1.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 1 0.3431 0.916 0.936 0.064
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.0000 0.986 0.000 1.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.986 0.000 1.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.986 0.000 1.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.0000 0.962 1.000 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 2 0.0938 0.975 0.012 0.988
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 2 0.0000 0.986 0.000 1.000
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 2 0.0000 0.986 0.000 1.000
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.986 0.000 1.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 1 0.0376 0.959 0.996 0.004
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 2 0.0000 0.986 0.000 1.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 2 0.0000 0.986 0.000 1.000
#> 22863A57-F066-4DD1-A859-4336F43D144C 1 0.0000 0.962 1.000 0.000
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0000 0.962 1.000 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.5294 0.864 0.880 0.120
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 2 0.0376 0.982 0.004 0.996
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.0000 0.962 1.000 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.0000 0.962 1.000 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.986 0.000 1.000
#> E344638F-9060-460F-8F7A-60D19442F294 2 0.0000 0.986 0.000 1.000
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 2 0.0000 0.986 0.000 1.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 2 0.0000 0.986 0.000 1.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.986 0.000 1.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.0000 0.962 1.000 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0000 0.986 0.000 1.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 2 0.0000 0.986 0.000 1.000
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.0000 0.986 0.000 1.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 2 0.0000 0.986 0.000 1.000
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 1 0.7139 0.774 0.804 0.196
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0000 0.962 1.000 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0000 0.962 1.000 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.0000 0.962 1.000 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.0000 0.962 1.000 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 1 0.0000 0.962 1.000 0.000
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 2 0.0000 0.986 0.000 1.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0000 0.986 0.000 1.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.0000 0.986 0.000 1.000
#> E9C28902-05C9-4883-97A4-D612D54E46B4 2 0.0000 0.986 0.000 1.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 2 0.8861 0.554 0.304 0.696
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.986 0.000 1.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.986 0.000 1.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.986 0.000 1.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 2 0.1414 0.967 0.020 0.980
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 2 0.0000 0.986 0.000 1.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.986 0.000 1.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.986 0.000 1.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.962 1.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 2 0.0000 0.986 0.000 1.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.962 1.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.962 1.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.986 0.000 1.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 2 0.0000 0.986 0.000 1.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.962 1.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.986 0.000 1.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.962 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.0000 0.9865 0.000 1.000 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 3 0.0000 0.9739 0.000 0.000 1.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9865 0.000 1.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9865 0.000 1.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 3 0.0424 0.9676 0.008 0.000 0.992
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9865 0.000 1.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 3 0.0000 0.9739 0.000 0.000 1.000
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9865 0.000 1.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.0000 0.9865 0.000 1.000 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 3 0.0000 0.9739 0.000 0.000 1.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.0000 0.9739 0.000 0.000 1.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9865 0.000 1.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9865 0.000 1.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 1 0.0000 0.9510 1.000 0.000 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 2 0.6204 0.2639 0.000 0.576 0.424
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.0000 0.9510 1.000 0.000 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 3 0.0000 0.9739 0.000 0.000 1.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0000 0.9739 0.000 0.000 1.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 3 0.3816 0.8158 0.148 0.000 0.852
#> 45F15851-55F6-4169-834E-38958C38B6A9 3 0.0000 0.9739 0.000 0.000 1.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.0000 0.9510 1.000 0.000 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0000 0.9510 1.000 0.000 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 3 0.0000 0.9739 0.000 0.000 1.000
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.5706 0.5139 0.320 0.000 0.680
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9865 0.000 1.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9865 0.000 1.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 3 0.0000 0.9739 0.000 0.000 1.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.5216 0.6807 0.740 0.000 0.260
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 3 0.0424 0.9676 0.008 0.000 0.992
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.0000 0.9510 1.000 0.000 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 3 0.0000 0.9739 0.000 0.000 1.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 3 0.6274 0.1216 0.456 0.000 0.544
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0000 0.9510 1.000 0.000 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 3 0.9400 0.0354 0.356 0.180 0.464
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9865 0.000 1.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 3 0.0000 0.9739 0.000 0.000 1.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 2 0.0000 0.9865 0.000 1.000 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9865 0.000 1.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 2 0.1860 0.9330 0.052 0.948 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0000 0.9510 1.000 0.000 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.0000 0.9739 0.000 0.000 1.000
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9865 0.000 1.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.0424 0.9774 0.000 0.992 0.008
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.0000 0.9739 0.000 0.000 1.000
#> C5C3241A-684C-4238-9333-9AF8630EC086 3 0.1163 0.9482 0.000 0.028 0.972
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9865 0.000 1.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.0000 0.9739 0.000 0.000 1.000
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.0000 0.9739 0.000 0.000 1.000
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.0000 0.9510 1.000 0.000 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9865 0.000 1.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 3 0.0000 0.9739 0.000 0.000 1.000
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 1 0.0000 0.9510 1.000 0.000 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 3 0.3816 0.8168 0.148 0.000 0.852
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 3 0.0000 0.9739 0.000 0.000 1.000
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 3 0.0000 0.9739 0.000 0.000 1.000
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.5291 0.6672 0.732 0.000 0.268
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.0000 0.9739 0.000 0.000 1.000
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 3 0.0000 0.9739 0.000 0.000 1.000
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 3 0.0000 0.9739 0.000 0.000 1.000
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.9865 0.000 1.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9865 0.000 1.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9865 0.000 1.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.0000 0.9510 1.000 0.000 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 3 0.0747 0.9610 0.016 0.000 0.984
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.0892 0.9366 0.980 0.000 0.020
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 3 0.0000 0.9739 0.000 0.000 1.000
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 3 0.0000 0.9739 0.000 0.000 1.000
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 3 0.0000 0.9739 0.000 0.000 1.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 3 0.0000 0.9739 0.000 0.000 1.000
#> 251094BE-C33D-44F0-BD98-8618D71F520C 3 0.0000 0.9739 0.000 0.000 1.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 3 0.4796 0.7082 0.220 0.000 0.780
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 3 0.3116 0.8669 0.108 0.000 0.892
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.9865 0.000 1.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9865 0.000 1.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.9865 0.000 1.000 0.000
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#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 3 0.0000 0.9739 0.000 0.000 1.000
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9865 0.000 1.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9865 0.000 1.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.9510 1.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 3 0.0000 0.9739 0.000 0.000 1.000
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0000 0.9510 1.000 0.000 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.0000 0.9510 1.000 0.000 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9865 0.000 1.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 3 0.0000 0.9739 0.000 0.000 1.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0000 0.9510 1.000 0.000 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9865 0.000 1.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0000 0.9510 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.1940 0.8747 0.000 0.924 0.000 0.076
#> 92298FF7-1215-4756-B976-A7D88B91AD76 4 0.3229 0.8117 0.072 0.000 0.048 0.880
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 3 0.6630 0.4908 0.136 0.000 0.612 0.252
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0817 0.8407 0.000 0.000 0.024 0.976
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.1940 0.8818 0.000 0.924 0.076 0.000
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 4 0.3667 0.8010 0.088 0.000 0.056 0.856
#> 1F101D63-478B-40B9-A951-DC3887CFF067 4 0.1022 0.8419 0.000 0.000 0.032 0.968
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 3 0.2973 0.5105 0.144 0.000 0.856 0.000
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 4 0.6269 0.4115 0.000 0.272 0.096 0.632
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.2589 0.8330 0.884 0.000 0.116 0.000
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 4 0.1118 0.8425 0.000 0.000 0.036 0.964
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 4 0.3311 0.7678 0.000 0.000 0.172 0.828
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 1 0.6094 0.1117 0.536 0.000 0.048 0.416
#> 45F15851-55F6-4169-834E-38958C38B6A9 4 0.3307 0.7862 0.104 0.000 0.028 0.868
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.4998 0.3067 0.512 0.000 0.488 0.000
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.2469 0.8345 0.892 0.000 0.108 0.000
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.1022 0.8395 0.000 0.000 0.032 0.968
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 3 0.1389 0.6487 0.000 0.000 0.952 0.048
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 4 0.2376 0.8099 0.068 0.000 0.016 0.916
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.3215 0.8242 0.876 0.000 0.092 0.032
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 4 0.3757 0.7392 0.152 0.000 0.020 0.828
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.2408 0.8350 0.896 0.000 0.104 0.000
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.0921 0.8402 0.000 0.000 0.028 0.972
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.2742 0.7617 0.900 0.000 0.024 0.076
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.2408 0.8350 0.896 0.000 0.104 0.000
#> D9ABDB75-04DA-4D33-A69F-701729494533 4 0.6398 0.2654 0.408 0.032 0.020 0.540
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 4 0.3485 0.7774 0.116 0.000 0.028 0.856
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 3 0.4220 0.4661 0.004 0.248 0.748 0.000
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 2 0.1557 0.8925 0.056 0.944 0.000 0.000
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.0592 0.8256 0.984 0.000 0.016 0.000
#> 177C7EF4-2D54-4555-947C-44EE7C688917 4 0.4643 0.5081 0.000 0.000 0.344 0.656
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 2 0.4070 0.7615 0.000 0.824 0.044 0.132
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 4 0.1474 0.8390 0.000 0.000 0.052 0.948
#> C5C3241A-684C-4238-9333-9AF8630EC086 4 0.2722 0.8149 0.000 0.032 0.064 0.904
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.5000 -0.0449 0.000 0.000 0.500 0.500
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.4941 0.2100 0.000 0.000 0.564 0.436
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.2530 0.8339 0.888 0.000 0.112 0.000
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 4 0.1174 0.8370 0.012 0.000 0.020 0.968
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 3 0.4898 -0.0787 0.416 0.000 0.584 0.000
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 1 0.4290 0.5911 0.772 0.000 0.016 0.212
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 4 0.4040 0.6692 0.000 0.000 0.248 0.752
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.0921 0.8404 0.000 0.000 0.028 0.972
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.1706 0.7994 0.948 0.000 0.016 0.036
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.4977 0.1357 0.000 0.000 0.540 0.460
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 4 0.3048 0.7800 0.108 0.000 0.016 0.876
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 4 0.3048 0.7800 0.108 0.000 0.016 0.876
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.2216 0.8354 0.908 0.000 0.092 0.000
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 4 0.5123 0.6323 0.232 0.000 0.044 0.724
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.1510 0.8027 0.956 0.000 0.016 0.028
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 4 0.4431 0.5809 0.000 0.000 0.304 0.696
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 4 0.3497 0.7870 0.104 0.000 0.036 0.860
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 4 0.4039 0.8032 0.080 0.000 0.084 0.836
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.1174 0.8361 0.012 0.000 0.020 0.968
#> 251094BE-C33D-44F0-BD98-8618D71F520C 4 0.3616 0.7839 0.112 0.000 0.036 0.852
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.4327 0.5799 0.768 0.000 0.016 0.216
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 1 0.6788 0.3079 0.608 0.000 0.204 0.188
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 4 0.2773 0.8076 0.072 0.000 0.028 0.900
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 4 0.4661 0.4898 0.000 0.000 0.348 0.652
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.2530 0.8339 0.888 0.000 0.112 0.000
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.2530 0.8339 0.888 0.000 0.112 0.000
#> B449FEA1-C4B0-400F-903C-59E13D0BA313 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 3F120E90-1486-4215-B9B9-79D5B413CAAC 4 0.1022 0.8395 0.000 0.000 0.032 0.968
#> A071894B-D8C0-4740-BD55-93EA0C86EDF7 1 0.2530 0.8339 0.888 0.000 0.112 0.000
#> 58848D57-D7A9-4ABB-86A2-A8AE2B23F654 4 0.5069 0.4700 0.320 0.000 0.016 0.664
#> CD6F9E20-B301-4663-87EC-953EDF49754F 4 0.3219 0.7749 0.000 0.000 0.164 0.836
#> 367D89F3-D527-4929-B830-8B6D553DF9E1 4 0.0817 0.8406 0.000 0.000 0.024 0.976
#> BE8D7DCB-648B-42DD-9FA8-8B85B5D816B2 1 0.0592 0.8257 0.984 0.000 0.016 0.000
#> AA46F56B-BD9C-40A4-8EA8-35E2568C964D 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 6393220A-7C57-413F-81A8-4E38C21E779E 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 89AE566C-F65F-43C2-BA97-621A7AC8B6DC 1 0.2530 0.8339 0.888 0.000 0.112 0.000
#> AA6A4BFF-8C62-4B70-B85A-9EDF403B06BA 1 0.3447 0.8207 0.852 0.000 0.128 0.020
#> BCE877A6-9C65-4495-A45D-05753F2D0E15 4 0.2797 0.8130 0.068 0.000 0.032 0.900
#> D7BDDF49-C54B-4F8E-ACA0-C3684AB68B5C 4 0.3569 0.7432 0.000 0.000 0.196 0.804
#> D0800D49-0033-44B2-8D7B-29B16F87ADA6 2 0.4967 0.2582 0.000 0.548 0.452 0.000
#> 151D60B5-5AF1-4B61-B97F-ABC7531D9F89 4 0.4624 0.4659 0.000 0.000 0.340 0.660
#> CBBAEB5B-25FA-4B6D-A40C-357E37033E36 4 0.0921 0.8401 0.000 0.000 0.028 0.972
#> 317CD049-3151-40B7-8E88-B0B8813338D6 1 0.5781 0.4948 0.584 0.000 0.380 0.036
#> 93835C77-F8FA-4928-843C-8016A91881FA 4 0.2635 0.8054 0.076 0.000 0.020 0.904
#> 02A6950F-647D-4F20-B2D0-0238C1441C70 4 0.5284 0.4060 0.368 0.000 0.016 0.616
#> 4D54E415-134F-4F6F-8718-3E0475EF5477 4 0.2987 0.7833 0.104 0.000 0.016 0.880
#> 82AB290A-3993-45E5-8B15-6125A019778C 4 0.2413 0.8362 0.020 0.000 0.064 0.916
#> 3B5EAD14-E506-4A22-804D-BF925A2D5247 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 19CF7DDF-4F3A-4D2F-B84A-6451A5C3112C 3 0.4985 0.0861 0.000 0.000 0.532 0.468
#> 2FB00DAA-C274-42B1-A06B-611FE5E96844 3 0.4661 0.1334 0.348 0.000 0.652 0.000
#> 2B1F01C3-8145-4296-8111-2B0474AB9A2C 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 3F0865F1-8256-4778-966F-D53637B415B6 3 0.3837 0.5905 0.000 0.000 0.776 0.224
#> 5473210D-37F9-4192-86D2-E2A2C77F3BD2 3 0.4989 0.0938 0.000 0.000 0.528 0.472
#> 5EDB6ACF-4F3F-471A-9DDC-661607CACCC4 4 0.0895 0.8378 0.004 0.000 0.020 0.976
#> 6A252A3A-7EEB-47B6-9C23-D69BD2EA846F 4 0.4967 0.1887 0.000 0.000 0.452 0.548
#> 0A7FFCBB-4BAA-4A5F-8B2D-B427C4D982A8 1 0.1174 0.8086 0.968 0.000 0.012 0.020
#> 1603AFB8-5AD7-4794-9991-BDBE96B4D997 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 644299E9-62B7-4DFE-9E6D-D7556A01B40A 4 0.4130 0.7839 0.108 0.000 0.064 0.828
#> EF12E923-1860-4269-B57B-BA6238FA4403 4 0.0707 0.8434 0.000 0.000 0.020 0.980
#> 51B7241E-F0BE-482A-88AE-89004BB68989 1 0.3610 0.7716 0.800 0.000 0.200 0.000
#> 1C007DF3-8A9F-4940-9A4C-DE2A412BB023 4 0.3123 0.7822 0.000 0.000 0.156 0.844
#> 89FCFDE6-9625-432C-AA35-9C5FCCF40031 4 0.1302 0.8395 0.000 0.000 0.044 0.956
#> 7955FC55-386D-497E-AFED-019BBBAD428E 3 0.2704 0.6720 0.000 0.000 0.876 0.124
#> 37FF09ED-73EC-4D10-B2AC-7D8EBA9304ED 4 0.3626 0.7490 0.004 0.000 0.184 0.812
#> C2CD2742-2FB4-468E-90FF-8F65A5C425A9 4 0.3004 0.8188 0.060 0.000 0.048 0.892
#> 766FE08F-3393-4868-B1C1-FA98C9FF16E0 4 0.4985 0.1411 0.000 0.000 0.468 0.532
#> 63E2B578-2221-4255-8C45-7FD030B1C94D 4 0.3697 0.7915 0.100 0.000 0.048 0.852
#> C14B1A44-43F7-45F0-A583-5667A4D3BD95 1 0.2142 0.7894 0.928 0.000 0.016 0.056
#> D9CB551A-CE20-4BF7-8AC9-839112346C3D 4 0.2813 0.8058 0.080 0.000 0.024 0.896
#> 05BAA71A-E5B3-4A3A-A3F2-013A975087F0 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> AC8DA7DE-4D83-4768-BEFD-9A1B2DA943CE 4 0.2469 0.8173 0.000 0.000 0.108 0.892
#> E89DCE9D-F8A5-499C-85BB-BB500BADB9FB 1 0.3873 0.7471 0.772 0.000 0.228 0.000
#> C16F9B5E-2B52-40F6-856D-C0D6FBDD16C1 1 0.3745 0.8096 0.852 0.000 0.088 0.060
#> 8FF234D4-823A-4C80-82F7-2E92D72DBF88 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> C9F94A6E-D104-4D8D-8EC5-EADECD85F092 2 0.4746 0.4676 0.000 0.632 0.368 0.000
#> 45C9756F-A154-4537-852E-ECBF27B92FE1 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 0F1A5708-341E-4713-BC70-76D702F826D6 2 0.6835 0.2795 0.000 0.592 0.156 0.252
#> 2ECFBCA0-AB35-461A-A4B5-C60B2651A962 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 7DFAC404-3AB3-4274-A533-CFDAF4CE122D 1 0.2530 0.8339 0.888 0.000 0.112 0.000
#> A90AF55C-4386-42AB-A812-9230026EA5A5 2 0.4250 0.5826 0.000 0.724 0.000 0.276
#> 6258A757-4E18-4CD1-8417-189521E990B6 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> EBFAD137-050F-47D0-A43D-72B8F7D70C2B 1 0.1520 0.8048 0.956 0.000 0.024 0.020
#> 08B5EBFB-2807-4229-95A6-81AB7F377A56 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 4780A59C-0589-4995-B044-3201F09AF859 4 0.1211 0.8409 0.000 0.000 0.040 0.960
#> 0AB81429-C287-48AA-9035-3A7A6F4C7328 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 20C4D047-28DA-4AB7-9B3C-32EDA6B22C9D 4 0.2530 0.8152 0.000 0.000 0.112 0.888
#> 77C4E01F-84A6-4BFD-AA8E-D7875456F546 4 0.4605 0.5232 0.000 0.000 0.336 0.664
#> 8B28383F-CF14-4CC5-A1E2-72AD915C0AE8 4 0.0188 0.8410 0.000 0.000 0.004 0.996
#> E12E1F48-6A52-4F74-925C-C4EE1BF5C573 2 0.0188 0.9403 0.000 0.996 0.000 0.004
#> 9B179BC5-BB4C-4CEE-99BC-BC552BC384A1 4 0.0921 0.8401 0.000 0.000 0.028 0.972
#> 5548C91A-D3DE-48F5-B4A4-124BE177B99A 4 0.1211 0.8417 0.000 0.000 0.040 0.960
#> 0E22B729-C381-4B0C-9897-62DD38F51722 4 0.1211 0.8404 0.000 0.000 0.040 0.960
#> 7BC4937F-04E2-4B46-BA7C-FE9AC738C8A9 1 0.1297 0.8066 0.964 0.000 0.016 0.020
#> EE6A0D3F-3F8A-4AA8-B3EF-32372EF37A29 4 0.3198 0.8110 0.080 0.000 0.040 0.880
#> 08AC2706-7651-409F-BE6B-BCED1C2D1796 1 0.1798 0.7965 0.944 0.000 0.016 0.040
#> A68B078D-8979-4070-BB4D-F526704ED3DC 1 0.2987 0.7345 0.880 0.000 0.016 0.104
#> C319A5EE-69FA-4AAB-85A9-2EAAD8E4C703 4 0.1389 0.8358 0.000 0.000 0.048 0.952
#> 0D7CAABD-D20C-4F82-BCBC-8B7276E8EDE2 1 0.2530 0.8339 0.888 0.000 0.112 0.000
#> 09444DCC-44BA-4A3F-ACC5-863A54578B9F 4 0.1867 0.8331 0.000 0.000 0.072 0.928
#> 2E32B047-C6E1-4743-A6C8-E98370A32145 4 0.0469 0.8402 0.000 0.000 0.012 0.988
#> 6A6878A7-76B2-40DE-958B-804442AC6A5D 4 0.3801 0.7107 0.000 0.000 0.220 0.780
#> 39F27293-0BFF-4EA2-8439-A299E3226D20 4 0.1022 0.8407 0.000 0.000 0.032 0.968
#> 7EAE9C30-6080-405F-A7E6-1FED57674279 4 0.0469 0.8415 0.000 0.000 0.012 0.988
#> 79499169-A093-4E0A-B6BD-010CD7BE5035 4 0.3160 0.7801 0.108 0.000 0.020 0.872
#> 1F8BF4E8-BD84-4EFE-9E3E-89E7CE8FA72D 4 0.4877 0.3251 0.000 0.000 0.408 0.592
#> 62B7988F-98E5-4AB8-8A16-D661A07455E8 3 0.1940 0.5767 0.076 0.000 0.924 0.000
#> B7005B5F-217E-4073-BFB5-CE7E884B80C0 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> B981568F-2C08-4696-B589-E157A49BE72B 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> A3D85C0A-3202-40C2-88E1-052AC6C5184B 1 0.2530 0.8339 0.888 0.000 0.112 0.000
#> 4CA783B9-9B99-46B8-962A-77194ECB7942 3 0.2760 0.6699 0.000 0.000 0.872 0.128
#> D4024B08-4879-47EA-99E5-D9FCE1CD40DF 1 0.2142 0.7855 0.928 0.000 0.016 0.056
#> 1D41CDA2-0B29-48FD-B83A-E60C174DBCB3 4 0.4599 0.6697 0.212 0.000 0.028 0.760
#> A1923B2A-B233-4760-8AF9-C04C1CAEB100 1 0.5815 0.3672 0.652 0.000 0.060 0.288
#> 80880D71-BFDE-4D88-892F-5ADF27A38940 4 0.4193 0.6438 0.000 0.000 0.268 0.732
#> 55D1629D-30FD-49AA-88CE-EA3CA9B30A3F 2 0.3591 0.7483 0.000 0.824 0.008 0.168
#> B71C409E-926D-48AD-8BD8-9F707CA4FB01 2 0.2345 0.8437 0.000 0.900 0.000 0.100
#> 54A92C57-BD19-4A47-BA76-3ACA2DC36212 4 0.2011 0.8304 0.000 0.000 0.080 0.920
#> B2AB74B8-506C-4C27-9105-E86A6AAA89D4 4 0.2081 0.8195 0.000 0.000 0.084 0.916
#> 0356AE49-7A5C-42CC-A39C-7C8DFBFF8842 2 0.3074 0.7838 0.000 0.848 0.000 0.152
#> ACA260A3-DC3F-4FF4-B9C5-2D4BC4F81783 3 0.5712 -0.0202 0.384 0.000 0.584 0.032
#> 9B440917-E5A4-43B9-A48D-6ABFEDCA6CFD 1 0.5535 0.2222 0.560 0.000 0.020 0.420
#> 47464828-52EA-413B-B30C-BD8B55903D78 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> C1D1FC82-B50D-4C82-8F03-06CEE3C08D18 1 0.0804 0.8137 0.980 0.000 0.012 0.008
#> E5ABFC43-E2A3-4B1A-BBA3-8196C0B026A5 2 0.3172 0.7767 0.000 0.840 0.000 0.160
#> 1D3C16CC-D0D5-4637-AAC7-91672DFF3317 1 0.0000 0.8210 1.000 0.000 0.000 0.000
#> 4D038320-ADEA-4990-8371-68B4B8162E1A 2 0.0336 0.9376 0.000 0.992 0.000 0.008
#> A75594CC-3E49-4869-8656-BBB4E72BF59D 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 7CABAA19-5FB2-4A58-BDA3-4F1FFB532C20 4 0.2021 0.8391 0.012 0.000 0.056 0.932
#> 534EF1E9-9513-426E-B41E-A394AB2E4410 2 0.3024 0.7861 0.000 0.852 0.000 0.148
#> 649F35A1-A08C-497D-A9B6-CB3084D5FB8D 4 0.2149 0.8160 0.000 0.000 0.088 0.912
#> 7CA30F3C-1C98-480C-B8B5-A248AABFB468 4 0.1940 0.8240 0.000 0.000 0.076 0.924
#> A9F8DA21-A802-44CF-9F5D-96A36687DCDD 3 0.2530 0.6715 0.000 0.000 0.888 0.112
#> A7AE1ED1-86CB-4A50-97B2-66785C7191FE 4 0.0921 0.8401 0.000 0.000 0.028 0.972
#> D0091AD4-D3D7-4C03-ACD9-DA9F8B6076C6 4 0.1022 0.8395 0.000 0.000 0.032 0.968
#> 46EE1C2B-13F7-44A7-B27E-4EBB9DF0CA83 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> CB9301B8-0282-43D6-AF5E-B753A9C7BFCB 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> A0E77A39-885A-4472-9A10-2D1E51DBFDA4 4 0.1938 0.8387 0.012 0.000 0.052 0.936
#> C06603C2-163D-40B6-A9FE-882424F18FE9 4 0.2111 0.8299 0.044 0.000 0.024 0.932
#> C3921A29-80FF-4B9D-B366-5C0238A42231 4 0.2281 0.8262 0.000 0.000 0.096 0.904
#> BB99B4E7-C834-4BB8-973F-8FA039E2798F 1 0.2408 0.8350 0.896 0.000 0.104 0.000
#> 5CD78C2F-05E9-409A-8405-3EE936A6876E 4 0.4477 0.5631 0.000 0.000 0.312 0.688
#> 6C126CC7-0C03-48F0-A2C2-F090CA239B70 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 7118B08A-E94C-49F4-8D76-26455C34D85F 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 266DAF30-CF3E-493E-8B24-3931D0039450 4 0.1118 0.8389 0.000 0.000 0.036 0.964
#> DAB5F5B9-4FE5-468F-AD2B-B39BBC4317A0 4 0.1867 0.8331 0.000 0.000 0.072 0.928
#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 4 0.3726 0.7248 0.000 0.000 0.212 0.788
#> CED15676-B901-4FC8-9C8D-51E529D9441D 4 0.7093 0.3747 0.212 0.000 0.220 0.568
#> 827232CC-8035-440C-8B12-02C789C70B1B 4 0.1474 0.8394 0.000 0.000 0.052 0.948
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0927 0.8122 0.976 0.000 0.016 0.008
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 4 0.2345 0.8222 0.000 0.000 0.100 0.900
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.2760 0.8255 0.872 0.000 0.128 0.000
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.2868 0.8028 0.000 0.864 0.000 0.136
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.1888 0.7933 0.940 0.000 0.016 0.044
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 3 0.1520 0.6190 0.024 0.000 0.956 0.020
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.1211 0.9080 0.000 0.960 0.000 0.040
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 1 0.3024 0.8122 0.852 0.000 0.148 0.000
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 4 0.1211 0.8410 0.000 0.000 0.040 0.960
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.3448 0.7357 0.004 0.000 0.168 0.828
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.4955 0.1869 0.000 0.000 0.556 0.444
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.1109 0.8378 0.004 0.000 0.028 0.968
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 4 0.1557 0.8399 0.000 0.000 0.056 0.944
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.2760 0.6699 0.000 0.000 0.872 0.128
#> 22863A57-F066-4DD1-A859-4336F43D144C 3 0.3335 0.5335 0.120 0.000 0.860 0.020
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.0469 0.8225 0.988 0.000 0.012 0.000
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.5444 0.2167 0.560 0.000 0.016 0.424
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 1 0.5582 0.5303 0.724 0.000 0.108 0.168
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.2530 0.8339 0.888 0.000 0.112 0.000
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.2469 0.8349 0.892 0.000 0.108 0.000
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 4 0.3074 0.7857 0.000 0.000 0.152 0.848
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 3 0.4164 0.4447 0.000 0.264 0.736 0.000
#> A5199E3A-9D67-4543-88AB-24398C98E38E 4 0.2924 0.8249 0.016 0.000 0.100 0.884
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.2589 0.8321 0.884 0.000 0.116 0.000
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0188 0.9406 0.000 0.996 0.000 0.004
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.2216 0.6671 0.000 0.000 0.908 0.092
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 2 0.5366 0.2174 0.000 0.548 0.012 0.440
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0921 0.8401 0.000 0.000 0.028 0.972
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0336 0.9371 0.000 0.992 0.008 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.2469 0.8345 0.892 0.000 0.108 0.000
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.2530 0.8339 0.888 0.000 0.112 0.000
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.2216 0.8358 0.908 0.000 0.092 0.000
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.4916 0.4513 0.576 0.000 0.424 0.000
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 3 0.4252 0.3846 0.252 0.000 0.744 0.004
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 4 0.3497 0.7867 0.104 0.000 0.036 0.860
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.0188 0.9406 0.000 0.996 0.000 0.004
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.5060 0.3567 0.000 0.584 0.412 0.004
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0592 0.8409 0.000 0.000 0.016 0.984
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 4 0.1706 0.8290 0.036 0.000 0.016 0.948
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0707 0.8411 0.000 0.000 0.020 0.980
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.1940 0.8255 0.000 0.000 0.076 0.924
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.2408 0.8350 0.896 0.000 0.104 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.4776 0.3614 0.000 0.000 0.376 0.624
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.2469 0.8345 0.892 0.000 0.108 0.000
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.1118 0.8296 0.964 0.000 0.036 0.000
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 4 0.0469 0.8423 0.000 0.000 0.012 0.988
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.2530 0.8339 0.888 0.000 0.112 0.000
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9433 0.000 1.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0188 0.8196 0.996 0.000 0.004 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.2612 0.8381 0.000 0.868 0.008 0.124 0.000
#> 92298FF7-1215-4756-B976-A7D88B91AD76 3 0.5893 0.3356 0.436 0.000 0.464 0.100 0.000
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0290 0.9431 0.000 0.992 0.000 0.008 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.4138 0.3573 0.000 0.000 0.000 0.616 0.384
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 4 0.0671 0.7916 0.004 0.000 0.000 0.980 0.016
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 2 0.2152 0.8946 0.000 0.920 0.044 0.032 0.004
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 3 0.5297 0.5067 0.360 0.000 0.580 0.060 0.000
#> 1F101D63-478B-40B9-A951-DC3887CFF067 3 0.5623 0.4473 0.104 0.000 0.596 0.300 0.000
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 5 0.1281 0.5347 0.032 0.000 0.012 0.000 0.956
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 3 0.1877 0.7230 0.000 0.012 0.924 0.064 0.000
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.6384 0.2010 0.444 0.000 0.000 0.168 0.388
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 3 0.6036 0.0815 0.116 0.000 0.452 0.432 0.000
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.0404 0.7256 0.000 0.000 0.988 0.012 0.000
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 3 0.4443 0.3691 0.472 0.000 0.524 0.000 0.004
#> 45F15851-55F6-4169-834E-38958C38B6A9 1 0.6330 -0.2251 0.456 0.000 0.384 0.160 0.000
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 5 0.3003 0.4239 0.188 0.000 0.000 0.000 0.812
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.4114 0.4384 0.624 0.000 0.000 0.000 0.376
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.0794 0.7861 0.000 0.000 0.000 0.972 0.028
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 5 0.4276 0.2641 0.000 0.000 0.380 0.004 0.616
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0794 0.9303 0.000 0.972 0.000 0.028 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 4 0.6593 0.2381 0.284 0.000 0.252 0.464 0.000
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 4 0.6553 0.0447 0.292 0.000 0.000 0.472 0.236
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 4 0.4674 0.5263 0.316 0.000 0.024 0.656 0.004
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.4101 0.4410 0.628 0.000 0.000 0.000 0.372
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 4 0.2707 0.7532 0.008 0.000 0.132 0.860 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 1 0.2377 0.5022 0.872 0.000 0.128 0.000 0.000
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.4088 0.4440 0.632 0.000 0.000 0.000 0.368
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.4967 0.1992 0.660 0.000 0.280 0.060 0.000
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 1 0.5883 -0.1775 0.508 0.000 0.388 0.104 0.000
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 5 0.4269 0.3758 0.000 0.300 0.016 0.000 0.684
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 2 0.4620 0.4786 0.320 0.652 0.000 0.000 0.028
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 1 0.1732 0.5626 0.920 0.000 0.000 0.000 0.080
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.2011 0.6778 0.000 0.000 0.908 0.004 0.088
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.4829 0.5615 0.068 0.200 0.724 0.008 0.000
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 3 0.4264 0.3573 0.004 0.000 0.620 0.376 0.000
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#> 9A9EB6D6-312E-4A98-8762-30D3ABD8193D 3 0.0324 0.7234 0.000 0.000 0.992 0.004 0.004
#> CED15676-B901-4FC8-9C8D-51E529D9441D 3 0.4796 0.6006 0.280 0.000 0.680 0.012 0.028
#> 827232CC-8035-440C-8B12-02C789C70B1B 3 0.3053 0.6817 0.008 0.000 0.828 0.164 0.000
#> 04D5FB28-FB50-4EAE-95FB-72ABF0E618CA 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 6C96A851-97FC-4845-B895-D255191D9F25 1 0.0794 0.5712 0.972 0.000 0.000 0.000 0.028
#> 3EC982CB-D013-443E-B21D-39DE6B8EF370 3 0.2020 0.7140 0.000 0.000 0.900 0.100 0.000
#> 2E24A786-4370-42A1-AD50-D651F89819CC 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 7653BFA9-ADA5-44CA-8555-807FBBFC6DE2 1 0.4307 0.2312 0.504 0.000 0.000 0.000 0.496
#> 7A110994-5741-4013-91F0-DD2E1D343F91 2 0.3932 0.7591 0.000 0.796 0.064 0.140 0.000
#> 0A760E0C-11C5-4201-8452-18DBC1FEACEB 1 0.1469 0.5633 0.948 0.000 0.036 0.000 0.016
#> 909B76A1-BB9F-4906-95BC-58CD1A46D3B8 2 0.0703 0.9299 0.000 0.976 0.024 0.000 0.000
#> A782EE71-EDA4-4385-83B3-D16DE81296C0 5 0.3343 0.5322 0.000 0.000 0.172 0.016 0.812
#> BD50E276-914F-4924-8CEA-FF47A66DB175 2 0.1410 0.9032 0.000 0.940 0.000 0.060 0.000
#> 505D5CA8-0279-4BC7-8CC0-8C7A0165BF91 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> D51FC997-E662-4AE7-BC9C-14183DA42DE1 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 8AD67970-84F1-4C0A-B47A-8FA4108F9FE3 5 0.4278 -0.1558 0.452 0.000 0.000 0.000 0.548
#> 6E33B1B6-7089-4BC3-B2B0-EC2C3B5D8B74 3 0.5642 0.5784 0.184 0.000 0.636 0.180 0.000
#> 88C4EA46-2546-401C-A8E7-603EECFDFBA0 4 0.1544 0.7640 0.000 0.000 0.000 0.932 0.068
#> 375D2D72-C998-4627-BA35-24E82A9A55FF 3 0.2813 0.6051 0.000 0.000 0.832 0.000 0.168
#> 76D0F834-7064-46C6-96F4-E861CF5452B6 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 87159081-C97A-4004-AF0A-7EB6EF0EC47A 4 0.1357 0.7779 0.004 0.000 0.000 0.948 0.048
#> 24A57006-800B-4174-AF4E-7EA57A8A756E 3 0.3812 0.7030 0.096 0.000 0.812 0.092 0.000
#> AD68CBC6-8A13-4A65-AF62-E99AFA81D031 3 0.4287 0.0549 0.000 0.000 0.540 0.000 0.460
#> 22863A57-F066-4DD1-A859-4336F43D144C 5 0.2852 0.5158 0.000 0.000 0.000 0.172 0.828
#> 8F6F0362-9165-4DCC-992C-AF871A3C51E7 1 0.2852 0.5364 0.828 0.000 0.000 0.000 0.172
#> 76ABF0B7-E707-4DB2-9486-3814439BDBA5 1 0.2588 0.5266 0.892 0.000 0.048 0.060 0.000
#> BC72372F-3577-40E5-BA0F-41A084AA93AD 3 0.4557 0.4802 0.404 0.000 0.584 0.000 0.012
#> 8E566039-B56C-4F41-B9EF-DE18BEEF2C95 1 0.4114 0.4384 0.624 0.000 0.000 0.000 0.376
#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.5091 0.4067 0.584 0.000 0.000 0.044 0.372
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.0324 0.7229 0.004 0.000 0.992 0.000 0.004
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 5 0.6552 0.2256 0.000 0.348 0.208 0.000 0.444
#> A5199E3A-9D67-4543-88AB-24398C98E38E 3 0.1800 0.7283 0.048 0.000 0.932 0.020 0.000
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.4273 0.3324 0.552 0.000 0.000 0.000 0.448
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.0404 0.9407 0.000 0.988 0.000 0.012 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.4302 -0.0421 0.000 0.000 0.520 0.000 0.480
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 4 0.4169 0.5224 0.000 0.240 0.028 0.732 0.000
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.0404 0.7912 0.000 0.000 0.000 0.988 0.012
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.4114 0.4384 0.624 0.000 0.000 0.000 0.376
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.4114 0.4384 0.624 0.000 0.000 0.000 0.376
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.4196 0.4502 0.640 0.000 0.000 0.004 0.356
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 5 0.3209 0.4334 0.180 0.000 0.000 0.008 0.812
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 5 0.6263 0.2678 0.276 0.000 0.192 0.000 0.532
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 3 0.6208 0.4022 0.376 0.000 0.480 0.144 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.1544 0.8999 0.000 0.932 0.000 0.068 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.5199 0.6242 0.000 0.692 0.012 0.076 0.220
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.0693 0.7922 0.012 0.000 0.008 0.980 0.000
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 4 0.6441 0.3224 0.256 0.000 0.240 0.504 0.000
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.0510 0.7902 0.000 0.000 0.000 0.984 0.016
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.0609 0.7895 0.000 0.000 0.000 0.980 0.020
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.4088 0.4440 0.632 0.000 0.000 0.000 0.368
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.2864 0.7315 0.000 0.000 0.024 0.864 0.112
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.4114 0.4384 0.624 0.000 0.000 0.000 0.376
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.3074 0.5275 0.804 0.000 0.000 0.000 0.196
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 4 0.3596 0.6762 0.012 0.000 0.212 0.776 0.000
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.4114 0.4384 0.624 0.000 0.000 0.000 0.376
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.9478 0.000 1.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.0609 0.5711 0.980 0.000 0.000 0.000 0.020
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> D30CF518-5FC6-4A54-8D5D-BA420EA1836D 2 0.6214 0.1222 0.000 0.432 0.192 0.360 0.000 0.016
#> 92298FF7-1215-4756-B976-A7D88B91AD76 5 0.2757 0.6806 0.024 0.000 0.048 0.012 0.888 0.028
#> 0E244FE2-7C17-4642-A51F-2CCA796D9C70 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> 75435ED8-93E8-45FB-8480-98D8EB2EF8CB 2 0.0146 0.8931 0.000 0.996 0.000 0.004 0.000 0.000
#> B6D11678-15A9-4F43-A0A2-225067DCAF1C 4 0.5712 -0.0576 0.104 0.000 0.000 0.456 0.016 0.424
#> B7F5A41E-9559-4329-81F5-1B88A74730B7 2 0.0146 0.8938 0.000 0.996 0.000 0.004 0.000 0.000
#> 39414B2A-7FB0-4669-8DFE-86D9AF7AD2D9 5 0.4223 0.1590 0.004 0.000 0.000 0.368 0.612 0.016
#> 04823F53-A12D-4852-8F34-77B9DCBB7DF0 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> 49684C2B-D31C-4B45-A400-3497C3CCEC01 3 0.6056 0.2413 0.000 0.184 0.520 0.276 0.000 0.020
#> 96A04875-58E2-4BE7-8E0F-CAB55F4CA54F 3 0.7895 0.2243 0.080 0.000 0.432 0.104 0.252 0.132
#> 1F101D63-478B-40B9-A951-DC3887CFF067 5 0.6032 0.2671 0.000 0.000 0.284 0.164 0.528 0.024
#> DD290860-E0B7-48FC-BE12-2AF729994C21 2 0.0291 0.8926 0.000 0.992 0.004 0.004 0.000 0.000
#> FFDD7A12-DDEF-4974-8D60-64B7EEAAC994 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> E076A9A9-EA2A-4FF7-92A8-F2DA7F30279E 6 0.4428 0.5659 0.220 0.000 0.084 0.000 0.000 0.696
#> 830DFA6F-A85A-4317-82B2-791FAB998A01 3 0.4347 0.5173 0.000 0.020 0.704 0.012 0.252 0.012
#> 58578614-E4A3-4655-BBAB-F65851625E0A 1 0.6632 0.0069 0.520 0.000 0.000 0.244 0.124 0.112
#> 1CBFB672-4D66-430B-83F3-7CE3BE20ABF6 5 0.4143 0.6137 0.000 0.000 0.084 0.108 0.780 0.028
#> 6C34A7D7-3756-4DCC-9A9F-B5FC4A148B7E 3 0.3354 0.5746 0.000 0.000 0.792 0.016 0.184 0.008
#> D97ED7B4-5DF2-4B62-8796-AA51CA79DBBB 5 0.4121 0.6168 0.032 0.000 0.148 0.000 0.772 0.048
#> 45F15851-55F6-4169-834E-38958C38B6A9 3 0.8097 0.0837 0.208 0.000 0.320 0.216 0.024 0.232
#> 4139E0C9-F712-4A25-8B59-587533B93B3E 1 0.3860 -0.1472 0.528 0.000 0.000 0.000 0.000 0.472
#> 2C3007BF-009E-404F-A3BF-8B921698D85B 1 0.0458 0.7151 0.984 0.000 0.000 0.000 0.000 0.016
#> 2189F8E5-FF98-4C1A-BD04-5595DB553130 4 0.2799 0.6115 0.000 0.000 0.000 0.860 0.064 0.076
#> FFAA0310-0D78-4499-8FB8-5BC46E4FCE58 6 0.3699 0.3323 0.000 0.000 0.336 0.004 0.000 0.660
#> 0C375B2F-67BE-4708-BEB2-544DEC812DCA 2 0.0260 0.8927 0.000 0.992 0.000 0.008 0.000 0.000
#> AB6324A1-19AB-400C-8001-54765D190E27 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> A32C4DCD-DC4C-4132-9ED1-B159F5561A2D 4 0.7558 0.1665 0.068 0.000 0.248 0.424 0.040 0.220
#> 2AE7105D-D494-45B0-947A-315D8C20ECDC 1 0.6641 -0.2332 0.356 0.000 0.000 0.340 0.276 0.028
#> 60FE9D59-FC0F-4B9C-ABF8-1C00BC761928 1 0.6033 0.4978 0.568 0.000 0.008 0.228 0.020 0.176
#> 056442DC-E87A-4315-965C-C19D7B4FC40E 1 0.1267 0.7235 0.940 0.000 0.000 0.000 0.000 0.060
#> 455111E5-18EF-4E3F-9DFF-8FA017D92461 5 0.3531 0.2813 0.000 0.000 0.000 0.328 0.672 0.000
#> 10632BC6-0B81-433C-8832-6B2ABC73A94B 5 0.5223 0.4946 0.148 0.000 0.008 0.000 0.636 0.208
#> AC6F82AD-C682-4EB3-BEC3-FD950F57609D 1 0.0146 0.7127 0.996 0.000 0.000 0.000 0.000 0.004
#> D9ABDB75-04DA-4D33-A69F-701729494533 1 0.7966 0.0994 0.340 0.000 0.280 0.124 0.032 0.224
#> 27BBF44D-F4D7-4C5A-935F-3310A363A670 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> E7AA12EE-6E14-4B33-A52C-B13589436023 5 0.8178 0.1550 0.228 0.000 0.164 0.044 0.356 0.208
#> DFA6D41A-D231-413E-A180-E42DF26C3E2B 6 0.4957 0.5436 0.076 0.064 0.128 0.004 0.000 0.728
#> 655BD3AF-5094-4B19-93A8-401C70369B17 2 0.0146 0.8930 0.000 0.996 0.000 0.000 0.000 0.004
#> 9DFEF253-923F-4EE2-8E3D-C75805387B20 2 0.4648 0.6689 0.040 0.752 0.056 0.000 0.140 0.012
#> 3B0EE948-B2CD-4191-90E2-BDD155F3B580 5 0.4333 0.3537 0.380 0.000 0.004 0.000 0.596 0.020
#> 177C7EF4-2D54-4555-947C-44EE7C688917 3 0.3206 0.5987 0.000 0.000 0.828 0.000 0.068 0.104
#> 1F8E8BB7-D159-4556-8B04-E5DD027CC444 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> 619F37D2-6771-4727-9079-56BED07F1CF6 3 0.6967 0.2779 0.000 0.252 0.412 0.000 0.268 0.068
#> ACAE29BE-ECB8-4A98-BC71-7A2D4857134E 5 0.5796 0.2603 0.000 0.000 0.316 0.148 0.524 0.012
#> C5C3241A-684C-4238-9333-9AF8630EC086 4 0.4031 0.5444 0.000 0.004 0.180 0.764 0.036 0.016
#> AD319DC2-140F-4E7B-A899-010687D8B714 2 0.1168 0.8772 0.000 0.956 0.016 0.028 0.000 0.000
#> 2AFF397C-ED2A-4FD9-A7F0-E4C61E9FB603 3 0.3014 0.5709 0.000 0.000 0.832 0.000 0.036 0.132
#> FB4C7892-3DBB-4148-AAE9-75B19A1A4031 3 0.4628 0.4548 0.000 0.000 0.684 0.000 0.112 0.204
#> 6F5C4500-1ED1-4E81-B4F5-EEA64CE2336A 1 0.2416 0.5970 0.844 0.000 0.000 0.000 0.000 0.156
#> BD027C69-3C10-4047-8E1E-218600FF2B73 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> 11B473A9-4CC5-461F-BC57-CC9141F3591D 5 0.2173 0.6423 0.000 0.000 0.028 0.064 0.904 0.004
#> 69A036E5-3E6A-4862-A7F8-2D203ED2FC9E 6 0.3833 0.2886 0.444 0.000 0.000 0.000 0.000 0.556
#> 9C0BDF24-F011-4855-B95A-1B6BEFA808F7 5 0.5622 0.3025 0.248 0.000 0.000 0.000 0.540 0.212
#> 9E205254-8C0C-4C05-AF5A-86E679CF732C 5 0.5112 -0.0168 0.000 0.000 0.444 0.000 0.476 0.080
#> 935CCE4A-8AA8-454E-9DFF-7DE27D0BD2E2 4 0.4050 0.5783 0.000 0.000 0.000 0.752 0.152 0.096
#> 01E5E1FE-41D3-428B-90BC-7A000829E102 1 0.3699 0.6771 0.752 0.000 0.000 0.000 0.036 0.212
#> B344A530-92CD-468B-847A-DF8E25688081 3 0.2402 0.5690 0.000 0.000 0.868 0.000 0.012 0.120
#> F79F32A7-9F7B-4D62-8426-4A4CF10ED319 3 0.8150 0.0205 0.208 0.000 0.280 0.256 0.024 0.232
#> C2E1C6FA-82F9-467C-99AE-9B39FAAC810C 5 0.7569 0.3549 0.100 0.000 0.056 0.144 0.480 0.220
#> BF7CD9BD-776A-4957-8A6E-EF8AD83EA9D3 2 0.0260 0.8915 0.000 0.992 0.000 0.008 0.000 0.000
#> 8A2C1409-E83B-435E-A20F-5FCA94801C9F 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> B6BEFFB5-2F62-477B-A4C8-478D29577CBD 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> 8622CBD0-F8E9-4AC1-8175-CC9A742B86F9 1 0.1471 0.7239 0.932 0.000 0.000 0.000 0.004 0.064
#> 565DD660-ED58-4065-8619-260BEA6FCFEB 1 0.4655 0.6529 0.704 0.000 0.032 0.000 0.048 0.216
#> 96038E42-0FBA-497D-819C-38F7689F10FF 1 0.4354 0.6531 0.704 0.000 0.000 0.000 0.080 0.216
#> CA685549-F8BA-43F1-8461-5D2D3B17CFC5 5 0.2448 0.6640 0.000 0.000 0.064 0.000 0.884 0.052
#> 52020307-71A6-46E5-ACB3-8F885CA8F1EB 3 0.8477 0.0405 0.132 0.000 0.328 0.100 0.268 0.172
#> 7656DA98-76DC-424B-B02C-D7001DAAA0E4 5 0.1714 0.6679 0.000 0.000 0.092 0.000 0.908 0.000
#> 74DBA640-45E2-42A6-8F1E-69C073D66EE6 4 0.3845 0.5903 0.000 0.000 0.120 0.800 0.032 0.048
#> 251094BE-C33D-44F0-BD98-8618D71F520C 5 0.1059 0.6628 0.004 0.000 0.016 0.016 0.964 0.000
#> AB914CC5-5FF1-4257-A353-6A99D11B9478 1 0.4937 0.6108 0.652 0.000 0.000 0.000 0.152 0.196
#> 38B8B893-0E08-4B71-B51C-B32A7B2724E0 5 0.3336 0.6290 0.016 0.000 0.160 0.000 0.808 0.016
#> 7C7CD8FF-99A4-41D7-B7E1-5A517001F551 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> BFC5B75A-E4AE-486B-BA30-23BBAA33A125 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> 182AC78E-A07C-4B34-B216-B5F573E9F036 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> B38C5F72-8F46-4531-9C2D-96EEE07A5B22 2 0.0260 0.8927 0.000 0.992 0.000 0.008 0.000 0.000
#> DB9333A6-A723-4B8F-9221-25B8B23D5126 5 0.6355 0.0366 0.128 0.000 0.000 0.324 0.492 0.056
#> CD67DD21-C1B6-4D58-AC8E-1F4536C7DA70 3 0.1564 0.6125 0.000 0.000 0.936 0.000 0.024 0.040
#> 3D76A56E-4B66-48AE-AA60-D9C1004C7140 1 0.2219 0.6193 0.864 0.000 0.000 0.000 0.000 0.136
#> 71ED572F-7780-47A4-A9F8-D320C737690D 1 0.1477 0.7125 0.940 0.000 0.000 0.008 0.004 0.048
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#> F096F016-3EF5-4A67-A7C2-8A45E1585232 1 0.1745 0.7230 0.920 0.000 0.000 0.012 0.000 0.068
#> BB37913E-534B-43DD-BE3D-E13B29FD8172 2 0.2201 0.8443 0.000 0.900 0.048 0.052 0.000 0.000
#> E344638F-9060-460F-8F7A-60D19442F294 3 0.4205 0.5743 0.000 0.000 0.728 0.000 0.188 0.084
#> 6A0EAAD0-89D5-4F12-8B45-9D5A25182FAD 6 0.6168 0.0015 0.000 0.252 0.368 0.000 0.004 0.376
#> A5199E3A-9D67-4543-88AB-24398C98E38E 5 0.1625 0.6745 0.000 0.000 0.060 0.000 0.928 0.012
#> 23917D52-7864-4F84-9C77-DF8EA9407345 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> 9AA96080-19D8-40C3-BDD1-6044D2D422D5 1 0.1007 0.6974 0.956 0.000 0.000 0.000 0.000 0.044
#> 0ED65D91-260C-4662-9903-EE36A2E3B2D0 2 0.3694 0.7428 0.000 0.784 0.076 0.140 0.000 0.000
#> 64BF1BC5-7A9A-4E1D-AEAB-AFE30B92AAF4 3 0.3852 0.2408 0.000 0.000 0.612 0.000 0.004 0.384
#> F02301F1-9054-4DC6-8DC9-2451A0F53EFC 4 0.4017 0.5073 0.000 0.020 0.204 0.748 0.000 0.028
#> 3264649A-5684-4181-83D0-A7E4D7E2E1FD 4 0.4050 0.5887 0.000 0.000 0.000 0.716 0.236 0.048
#> 3F8DA39C-BC9B-4343-8838-5CE271E80C51 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> BCC681CB-2AF4-4BB6-B53A-7544A2399454 1 0.0458 0.7081 0.984 0.000 0.000 0.000 0.000 0.016
#> DCB50E17-5E2D-443B-8DCC-272FBB734C2E 1 0.0547 0.7065 0.980 0.000 0.000 0.000 0.000 0.020
#> B5E47C38-CB6A-44C0-AA9B-56951B9EF78D 1 0.4263 0.2605 0.600 0.000 0.000 0.000 0.376 0.024
#> B15B0185-9C28-4A00-9CEC-05EFECEA6709 1 0.2655 0.6364 0.848 0.000 0.004 0.008 0.000 0.140
#> 61D4E8E7-0110-480A-A4A7-D406DE74C31E 6 0.7668 0.3123 0.196 0.000 0.200 0.008 0.208 0.388
#> CA8DB3AD-3F6B-4622-BF73-47041EC96E42 5 0.0806 0.6669 0.000 0.000 0.020 0.008 0.972 0.000
#> 5EECB1C4-172C-4494-871A-ADB650CD82BD 2 0.2871 0.7523 0.000 0.804 0.004 0.192 0.000 0.000
#> 019B857C-D4F7-4B67-B699-56E52A60805B 2 0.6872 0.3083 0.000 0.504 0.140 0.204 0.000 0.152
#> E9C28902-05C9-4883-97A4-D612D54E46B4 4 0.3320 0.6104 0.000 0.000 0.000 0.772 0.212 0.016
#> C5D3D9A0-FC14-408D-AB6C-662018A5E5CA 5 0.2675 0.6567 0.020 0.000 0.004 0.052 0.888 0.036
#> 7EB24744-509B-4854-B7D0-0BAFA210A345 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> B8B7A721-2284-40AB-98F5-EF1351C30B66 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> 3C12F39D-0D21-4F69-A539-4120B73C7A79 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> 08D3F984-6850-45B2-9DF9-EC7F5A4060A4 4 0.4332 0.4626 0.000 0.000 0.000 0.616 0.352 0.032
#> 9BD0EE79-1EED-4F6D-A5AB-43ADB8526F1E 4 0.1531 0.6047 0.000 0.000 0.004 0.928 0.000 0.068
#> E489A871-3CF4-4F3D-8EAF-63B507054201 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> 8CF8FD2E-1DBA-4257-9715-04D956D46B71 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> F6193AF0-7A19-46CB-A818-1B01E7460791 1 0.0000 0.7136 1.000 0.000 0.000 0.000 0.000 0.000
#> 96392D6B-D4FF-4393-93BA-08E469E8BBE1 4 0.2998 0.5809 0.000 0.000 0.068 0.852 0.004 0.076
#> DABCBE5A-C591-46A2-AF66-DA3DB6106751 1 0.0146 0.7125 0.996 0.000 0.000 0.000 0.000 0.004
#> 8B75F7D4-98D8-44DE-B19D-B733D6A031DB 1 0.1500 0.7243 0.936 0.000 0.000 0.000 0.012 0.052
#> AAD9685A-564B-42E9-91E3-431951154BA7 2 0.1765 0.8350 0.000 0.904 0.096 0.000 0.000 0.000
#> 90A43152-4E3B-4365-A39F-7B0E5CA66E55 4 0.5460 0.3821 0.000 0.000 0.268 0.616 0.072 0.044
#> EFB76FCF-AC9C-4852-B91C-E055DA666FA0 1 0.0713 0.7032 0.972 0.000 0.000 0.000 0.000 0.028
#> 6EBCFFE3-706F-440A-ABA9-012A924A07C6 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> E922A244-F1C8-4310-ABB2-62B06E022E4C 1 0.2384 0.7097 0.888 0.000 0.000 0.000 0.064 0.048
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