Date: 2019-12-26 01:29:36 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 18133 rows and 198 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] 18133 198
The density distribution for each sample is visualized as in one column in the following heatmap. The clustering is based on the distance which is the Kolmogorov-Smirnov statistic between two distributions.
library(ComplexHeatmap)
densityHeatmap(mat, ylab = "value", cluster_columns = TRUE, show_column_names = FALSE,
mc.cores = 4)
Folowing table shows the best k (number of partitions) for each combination
of top-value methods and partition methods. Clicking on the method name in
the table goes to the section for a single combination of methods.
The cola vignette explains the definition of the metrics used for determining the best number of partitions.
suggest_best_k(res_list)
| The best k | 1-PAC | Mean silhouette | Concordance | Optional k | ||
|---|---|---|---|---|---|---|
| SD:kmeans | 2 | 1.000 | 0.999 | 1.000 | ** | |
| SD:skmeans | 2 | 1.000 | 0.999 | 1.000 | ** | |
| SD:NMF | 2 | 1.000 | 0.992 | 0.997 | ** | |
| CV:kmeans | 2 | 1.000 | 0.988 | 0.995 | ** | |
| CV:skmeans | 2 | 1.000 | 0.993 | 0.997 | ** | |
| CV:pam | 2 | 1.000 | 0.965 | 0.986 | ** | |
| CV:mclust | 2 | 1.000 | 0.985 | 0.993 | ** | |
| CV:NMF | 2 | 1.000 | 0.994 | 0.998 | ** | |
| MAD:kmeans | 2 | 1.000 | 0.997 | 0.997 | ** | |
| MAD:skmeans | 2 | 1.000 | 0.999 | 0.999 | ** | |
| MAD:pam | 2 | 1.000 | 0.991 | 0.996 | ** | |
| ATC:kmeans | 3 | 1.000 | 0.974 | 0.986 | ** | 2 |
| ATC:mclust | 2 | 1.000 | 0.996 | 0.998 | ** | |
| ATC:NMF | 2 | 1.000 | 0.995 | 0.998 | ** | |
| ATC:skmeans | 4 | 0.957 | 0.928 | 0.965 | ** | 2,3 |
| ATC:pam | 4 | 0.939 | 0.930 | 0.969 | * | |
| SD:pam | 5 | 0.930 | 0.889 | 0.955 | * | 2 |
| SD:mclust | 2 | 0.927 | 0.922 | 0.970 | * | |
| MAD:mclust | 2 | 0.910 | 0.953 | 0.981 | * | |
| MAD:NMF | 3 | 0.907 | 0.906 | 0.960 | * | 2 |
| ATC:hclust | 3 | 0.809 | 0.862 | 0.930 | ||
| MAD:hclust | 3 | 0.712 | 0.795 | 0.878 | ||
| SD:hclust | 3 | 0.671 | 0.797 | 0.881 | ||
| CV:hclust | 2 | 0.269 | 0.744 | 0.833 |
**: 1-PAC > 0.95, *: 1-PAC > 0.9
Cumulative distribution function curves of consensus matrix for all methods.
collect_plots(res_list, fun = plot_ecdf)
Consensus heatmaps for all methods. (What is a consensus heatmap?)
collect_plots(res_list, k = 2, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 3, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 4, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 5, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 6, fun = consensus_heatmap, mc.cores = 4)
Membership heatmaps for all methods. (What is a membership heatmap?)
collect_plots(res_list, k = 2, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 3, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 4, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 5, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 6, fun = membership_heatmap, mc.cores = 4)
Signature heatmaps for all methods. (What is a signature heatmap?)
Note in following heatmaps, rows are scaled.
collect_plots(res_list, k = 2, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 3, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 4, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 5, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 6, fun = get_signatures, mc.cores = 4)
The statistics used for measuring the stability of consensus partitioning. (How are they defined?)
get_stats(res_list, k = 2)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 2 1.000 0.992 0.997 0.502 0.498 0.498
#> CV:NMF 2 1.000 0.994 0.998 0.502 0.498 0.498
#> MAD:NMF 2 1.000 0.995 0.998 0.502 0.498 0.498
#> ATC:NMF 2 1.000 0.995 0.998 0.503 0.498 0.498
#> SD:skmeans 2 1.000 0.999 1.000 0.502 0.498 0.498
#> CV:skmeans 2 1.000 0.993 0.997 0.502 0.498 0.498
#> MAD:skmeans 2 1.000 0.999 0.999 0.502 0.498 0.498
#> ATC:skmeans 2 1.000 0.987 0.995 0.503 0.497 0.497
#> SD:mclust 2 0.927 0.922 0.970 0.500 0.498 0.498
#> CV:mclust 2 1.000 0.985 0.993 0.502 0.498 0.498
#> MAD:mclust 2 0.910 0.953 0.981 0.501 0.498 0.498
#> ATC:mclust 2 1.000 0.996 0.998 0.503 0.498 0.498
#> SD:kmeans 2 1.000 0.999 1.000 0.502 0.498 0.498
#> CV:kmeans 2 1.000 0.988 0.995 0.502 0.498 0.498
#> MAD:kmeans 2 1.000 0.997 0.997 0.501 0.498 0.498
#> ATC:kmeans 2 1.000 0.988 0.995 0.503 0.497 0.497
#> SD:pam 2 1.000 0.983 0.993 0.502 0.498 0.498
#> CV:pam 2 1.000 0.965 0.986 0.503 0.498 0.498
#> MAD:pam 2 1.000 0.991 0.996 0.503 0.498 0.498
#> ATC:pam 2 0.887 0.929 0.970 0.500 0.498 0.498
#> SD:hclust 2 0.323 0.528 0.734 0.328 0.877 0.877
#> CV:hclust 2 0.269 0.744 0.833 0.459 0.503 0.503
#> MAD:hclust 2 0.321 0.614 0.779 0.317 0.868 0.868
#> ATC:hclust 2 0.405 0.749 0.851 0.322 0.735 0.735
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.859 0.887 0.950 0.250 0.840 0.689
#> CV:NMF 3 0.852 0.857 0.935 0.270 0.821 0.655
#> MAD:NMF 3 0.907 0.906 0.960 0.249 0.848 0.702
#> ATC:NMF 3 0.677 0.638 0.805 0.229 0.806 0.628
#> SD:skmeans 3 0.722 0.764 0.833 0.254 0.857 0.717
#> CV:skmeans 3 0.700 0.815 0.874 0.255 0.868 0.739
#> MAD:skmeans 3 0.706 0.685 0.826 0.251 0.863 0.732
#> ATC:skmeans 3 0.957 0.948 0.975 0.239 0.835 0.680
#> SD:mclust 3 0.806 0.838 0.922 0.196 0.902 0.806
#> CV:mclust 3 0.653 0.836 0.884 0.223 0.877 0.755
#> MAD:mclust 3 0.790 0.834 0.922 0.199 0.872 0.748
#> ATC:mclust 3 0.881 0.910 0.953 0.239 0.845 0.696
#> SD:kmeans 3 0.685 0.672 0.815 0.228 0.965 0.931
#> CV:kmeans 3 0.646 0.685 0.841 0.235 0.892 0.786
#> MAD:kmeans 3 0.680 0.663 0.831 0.229 0.956 0.912
#> ATC:kmeans 3 1.000 0.974 0.986 0.219 0.863 0.730
#> SD:pam 3 0.868 0.849 0.941 0.244 0.865 0.733
#> CV:pam 3 0.775 0.859 0.920 0.216 0.879 0.760
#> MAD:pam 3 0.877 0.900 0.952 0.246 0.861 0.724
#> ATC:pam 3 0.764 0.871 0.928 0.255 0.863 0.731
#> SD:hclust 3 0.671 0.797 0.881 0.767 0.563 0.502
#> CV:hclust 3 0.343 0.678 0.785 0.189 0.897 0.808
#> MAD:hclust 3 0.712 0.795 0.878 0.835 0.562 0.498
#> ATC:hclust 3 0.809 0.862 0.930 0.900 0.616 0.491
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.792 0.828 0.913 0.1172 0.839 0.614
#> CV:NMF 4 0.877 0.849 0.931 0.1299 0.812 0.544
#> MAD:NMF 4 0.731 0.814 0.887 0.1291 0.855 0.641
#> ATC:NMF 4 0.676 0.646 0.831 0.1300 0.786 0.498
#> SD:skmeans 4 0.838 0.875 0.942 0.1420 0.887 0.703
#> CV:skmeans 4 0.731 0.708 0.869 0.1597 0.859 0.640
#> MAD:skmeans 4 0.809 0.813 0.922 0.1557 0.797 0.525
#> ATC:skmeans 4 0.957 0.928 0.965 0.1417 0.880 0.690
#> SD:mclust 4 0.695 0.697 0.817 0.0927 0.941 0.862
#> CV:mclust 4 0.609 0.708 0.823 0.1456 0.888 0.713
#> MAD:mclust 4 0.776 0.699 0.848 0.0885 0.923 0.819
#> ATC:mclust 4 0.760 0.350 0.859 0.0682 0.907 0.777
#> SD:kmeans 4 0.648 0.731 0.841 0.1297 0.816 0.613
#> CV:kmeans 4 0.596 0.635 0.748 0.1280 0.814 0.578
#> MAD:kmeans 4 0.633 0.682 0.820 0.1236 0.819 0.615
#> ATC:kmeans 4 0.728 0.717 0.830 0.1255 0.933 0.827
#> SD:pam 4 0.863 0.823 0.920 0.0775 0.875 0.699
#> CV:pam 4 0.792 0.853 0.923 0.0935 0.947 0.866
#> MAD:pam 4 0.786 0.843 0.902 0.0855 0.933 0.825
#> ATC:pam 4 0.939 0.930 0.969 0.0877 0.905 0.763
#> SD:hclust 4 0.650 0.689 0.834 0.1254 0.954 0.896
#> CV:hclust 4 0.484 0.653 0.812 0.1584 0.950 0.894
#> MAD:hclust 4 0.668 0.695 0.813 0.1362 0.954 0.896
#> ATC:hclust 4 0.761 0.824 0.895 0.0650 0.991 0.978
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.774 0.725 0.865 0.0667 0.892 0.675
#> CV:NMF 5 0.734 0.674 0.838 0.0557 0.898 0.676
#> MAD:NMF 5 0.797 0.724 0.844 0.0591 0.911 0.716
#> ATC:NMF 5 0.629 0.619 0.811 0.0561 0.848 0.577
#> SD:skmeans 5 0.779 0.629 0.756 0.0765 0.890 0.636
#> CV:skmeans 5 0.698 0.607 0.779 0.0644 0.858 0.545
#> MAD:skmeans 5 0.765 0.623 0.783 0.0669 0.907 0.695
#> ATC:skmeans 5 0.708 0.571 0.757 0.0755 0.914 0.717
#> SD:mclust 5 0.617 0.552 0.769 0.1089 0.841 0.609
#> CV:mclust 5 0.621 0.602 0.744 0.0696 0.972 0.905
#> MAD:mclust 5 0.627 0.334 0.656 0.1150 0.840 0.606
#> ATC:mclust 5 0.700 0.655 0.788 0.1044 0.894 0.729
#> SD:kmeans 5 0.682 0.675 0.772 0.0849 0.918 0.747
#> CV:kmeans 5 0.618 0.565 0.743 0.0741 0.917 0.729
#> MAD:kmeans 5 0.690 0.725 0.800 0.0915 0.925 0.767
#> ATC:kmeans 5 0.684 0.486 0.641 0.0788 0.852 0.578
#> SD:pam 5 0.930 0.889 0.955 0.0817 0.908 0.735
#> CV:pam 5 0.700 0.744 0.830 0.0928 0.914 0.759
#> MAD:pam 5 0.764 0.746 0.866 0.0782 0.889 0.685
#> ATC:pam 5 0.786 0.682 0.834 0.0887 0.933 0.796
#> SD:hclust 5 0.658 0.728 0.828 0.0848 0.910 0.773
#> CV:hclust 5 0.514 0.534 0.764 0.0938 0.926 0.827
#> MAD:hclust 5 0.644 0.720 0.832 0.0679 0.907 0.766
#> ATC:hclust 5 0.736 0.792 0.871 0.0750 0.936 0.834
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.808 0.799 0.888 0.0471 0.908 0.677
#> CV:NMF 6 0.804 0.662 0.822 0.0446 0.916 0.693
#> MAD:NMF 6 0.764 0.721 0.853 0.0352 0.915 0.694
#> ATC:NMF 6 0.671 0.635 0.812 0.0381 0.907 0.708
#> SD:skmeans 6 0.857 0.792 0.895 0.0528 0.897 0.590
#> CV:skmeans 6 0.793 0.764 0.860 0.0407 0.922 0.673
#> MAD:skmeans 6 0.863 0.812 0.908 0.0523 0.891 0.596
#> ATC:skmeans 6 0.713 0.639 0.810 0.0494 0.858 0.514
#> SD:mclust 6 0.655 0.520 0.739 0.0795 0.854 0.544
#> CV:mclust 6 0.615 0.453 0.716 0.0460 0.917 0.712
#> MAD:mclust 6 0.685 0.654 0.786 0.0655 0.809 0.419
#> ATC:mclust 6 0.728 0.680 0.795 0.0439 0.892 0.651
#> SD:kmeans 6 0.713 0.661 0.775 0.0513 0.905 0.651
#> CV:kmeans 6 0.651 0.480 0.658 0.0500 0.881 0.583
#> MAD:kmeans 6 0.727 0.702 0.788 0.0588 0.913 0.677
#> ATC:kmeans 6 0.670 0.664 0.776 0.0529 0.878 0.574
#> SD:pam 6 0.860 0.848 0.925 0.0687 0.941 0.789
#> CV:pam 6 0.721 0.697 0.837 0.0764 0.892 0.636
#> MAD:pam 6 0.788 0.724 0.887 0.0767 0.920 0.717
#> ATC:pam 6 0.789 0.788 0.891 0.0764 0.913 0.687
#> SD:hclust 6 0.694 0.740 0.846 0.0475 0.970 0.905
#> CV:hclust 6 0.585 0.503 0.715 0.0627 0.886 0.691
#> MAD:hclust 6 0.672 0.726 0.841 0.0368 0.972 0.912
#> ATC:hclust 6 0.693 0.651 0.801 0.0755 0.921 0.757
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 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.323 0.528 0.734 0.3279 0.877 0.877
#> 3 3 0.671 0.797 0.881 0.7667 0.563 0.502
#> 4 4 0.650 0.689 0.834 0.1254 0.954 0.896
#> 5 5 0.658 0.728 0.828 0.0848 0.910 0.773
#> 6 6 0.694 0.740 0.846 0.0475 0.970 0.905
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 1 0.781 0.425 0.768 0.232
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.886 0.583 0.696 0.304
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 1 0.327 0.458 0.940 0.060
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.895 0.578 0.688 0.312
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 1 0.343 0.453 0.936 0.064
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.904 0.571 0.680 0.320
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 1 0.788 0.421 0.764 0.236
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.971 0.918 0.400 0.600
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 1 0.895 0.449 0.688 0.312
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.881 0.473 0.700 0.300
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.886 0.583 0.696 0.304
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.891 0.583 0.692 0.308
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 1 0.373 0.454 0.928 0.072
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.971 0.918 0.400 0.600
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.971 0.918 0.400 0.600
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.895 0.578 0.688 0.312
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 1 0.714 0.427 0.804 0.196
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.929 0.545 0.656 0.344
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 1 0.814 0.402 0.748 0.252
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 1 0.730 0.420 0.796 0.204
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.891 0.583 0.692 0.308
#> EDD7E63D-492A-473B-A552-0764337B10EF 1 0.775 0.430 0.772 0.228
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.909 0.575 0.676 0.324
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.891 0.583 0.692 0.308
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.929 0.546 0.656 0.344
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 1 0.781 0.425 0.768 0.232
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.936 0.530 0.648 0.352
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.886 0.583 0.696 0.304
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.891 0.475 0.692 0.308
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.855 0.476 0.720 0.280
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 1 0.775 0.430 0.772 0.228
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.886 0.583 0.696 0.304
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 1 0.373 0.435 0.928 0.072
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.886 0.583 0.696 0.304
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.891 0.583 0.692 0.308
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.886 0.583 0.696 0.304
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 1 0.781 0.425 0.768 0.232
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 1 0.781 0.425 0.768 0.232
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.886 0.583 0.696 0.304
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.886 0.583 0.696 0.304
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.886 0.583 0.696 0.304
#> 253601DB-B78A-4566-9947-8C0270C0B163 1 0.781 0.425 0.768 0.232
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.895 0.841 0.312 0.688
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 1 0.781 0.425 0.768 0.232
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.993 0.857 0.452 0.548
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.886 0.583 0.696 0.304
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.886 0.583 0.696 0.304
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 1 0.767 0.433 0.776 0.224
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 1 0.781 0.425 0.768 0.232
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 1 0.311 0.454 0.944 0.056
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.886 0.583 0.696 0.304
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.886 0.583 0.696 0.304
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.891 0.583 0.692 0.308
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.917 0.559 0.668 0.332
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.932 0.535 0.652 0.348
#> E19D5463-FDD0-41C1-A170-323736A88D07 1 0.373 0.435 0.928 0.072
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.891 0.583 0.692 0.308
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.891 0.583 0.692 0.308
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 1 0.373 0.435 0.928 0.072
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.969 0.916 0.396 0.604
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.886 0.583 0.696 0.304
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 2 0.895 0.841 0.312 0.688
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 1 0.373 0.454 0.928 0.072
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.886 0.583 0.696 0.304
#> ACE6566B-AEB9-426C-924A-B382D14A1024 1 0.781 0.425 0.768 0.232
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.886 0.583 0.696 0.304
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.886 0.583 0.696 0.304
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 1 0.767 0.429 0.776 0.224
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 1 0.416 0.436 0.916 0.084
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 1 0.738 0.419 0.792 0.208
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 1 0.653 0.441 0.832 0.168
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.891 0.583 0.692 0.308
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.886 0.583 0.696 0.304
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 1 0.767 0.438 0.776 0.224
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.895 0.578 0.688 0.312
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.886 0.583 0.696 0.304
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 1 0.506 0.417 0.888 0.112
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 1 0.781 0.425 0.768 0.232
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.891 0.583 0.692 0.308
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 1 0.781 0.425 0.768 0.232
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.886 0.583 0.696 0.304
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 1 0.781 0.425 0.768 0.232
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 1 0.781 0.425 0.768 0.232
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 1 0.402 0.437 0.920 0.080
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.891 0.475 0.692 0.308
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.909 0.575 0.676 0.324
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.891 0.583 0.692 0.308
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.895 0.449 0.688 0.312
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.936 0.530 0.648 0.352
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.917 0.559 0.668 0.332
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.932 0.540 0.652 0.348
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 2 0.895 0.841 0.312 0.688
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.917 0.496 0.668 0.332
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 1 0.506 0.417 0.888 0.112
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 1 0.895 0.449 0.688 0.312
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 1 0.781 0.425 0.768 0.232
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 1 0.662 0.404 0.828 0.172
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 1 0.891 0.444 0.692 0.308
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.886 0.583 0.696 0.304
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.886 0.583 0.696 0.304
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.886 0.583 0.696 0.304
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.886 0.583 0.696 0.304
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.891 0.583 0.692 0.308
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 1 0.416 0.436 0.916 0.084
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 1 0.781 0.425 0.768 0.232
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 1 0.416 0.436 0.916 0.084
#> CC02897D-9123-495E-9242-5C9CF4EC269B 1 0.781 0.425 0.768 0.232
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.925 0.550 0.660 0.340
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.895 0.576 0.688 0.312
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 1 0.506 0.417 0.888 0.112
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.886 0.583 0.696 0.304
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 1 0.781 0.425 0.768 0.232
#> 2C1F9079-602E-4252-82C7-9D8799E04246 1 0.311 0.454 0.944 0.056
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 2 0.895 0.841 0.312 0.688
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 1 0.781 0.425 0.768 0.232
#> B588950F-14D6-41C8-845B-EFD2096013C6 1 0.781 0.425 0.768 0.232
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 1 0.506 0.417 0.888 0.112
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.891 0.583 0.692 0.308
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.891 0.583 0.692 0.308
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 1 0.781 0.425 0.768 0.232
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.895 0.576 0.688 0.312
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.963 0.448 0.612 0.388
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.886 0.583 0.696 0.304
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.886 0.583 0.696 0.304
#> D005833F-E991-4E9E-9667-55F137288004 1 0.886 0.583 0.696 0.304
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.891 0.583 0.692 0.308
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.895 0.576 0.688 0.312
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 1 0.518 0.411 0.884 0.116
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.971 0.918 0.400 0.600
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 1 0.781 0.425 0.768 0.232
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.929 0.545 0.656 0.344
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.886 0.583 0.696 0.304
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.886 0.583 0.696 0.304
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 1 0.402 0.437 0.920 0.080
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 1 0.855 0.476 0.720 0.280
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.881 0.473 0.700 0.300
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 1 0.781 0.425 0.768 0.232
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.932 0.540 0.652 0.348
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 1 0.311 0.454 0.944 0.056
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.929 0.546 0.656 0.344
#> 41183565-434D-474C-B1BD-CA6E94910658 1 0.518 0.411 0.884 0.116
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.886 0.583 0.696 0.304
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.886 0.583 0.696 0.304
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.895 0.578 0.688 0.312
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.891 0.583 0.692 0.308
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.900 0.573 0.684 0.316
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 1 0.781 0.424 0.768 0.232
#> 64552DC0-181E-4607-898C-787AA7F26435 1 0.781 0.425 0.768 0.232
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.891 0.583 0.692 0.308
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 1 0.795 0.419 0.760 0.240
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.886 0.583 0.696 0.304
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 1 0.760 0.437 0.780 0.220
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 1 0.760 0.422 0.780 0.220
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 1 0.895 0.449 0.688 0.312
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.886 0.583 0.696 0.304
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 1 0.781 0.425 0.768 0.232
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 1 0.781 0.425 0.768 0.232
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.886 0.583 0.696 0.304
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 1 0.373 0.471 0.928 0.072
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 1 0.781 0.425 0.768 0.232
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.971 0.918 0.400 0.600
#> 4464650B-453F-476C-989C-B7B159BF2CF0 1 0.781 0.425 0.768 0.232
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.886 0.583 0.696 0.304
#> E52A22CC-3C03-41A9-9541-220DD871E162 1 0.781 0.425 0.768 0.232
#> 642703B1-AF99-4746-A915-0792F4B9590B 1 0.876 0.446 0.704 0.296
#> 8F0D1792-1284-45E6-8EC4-392596057677 1 0.781 0.425 0.768 0.232
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.993 0.857 0.452 0.548
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.921 0.554 0.664 0.336
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.891 0.583 0.692 0.308
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 1 0.895 0.449 0.688 0.312
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.904 0.457 0.680 0.320
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 1 0.416 0.436 0.916 0.084
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.886 0.583 0.696 0.304
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.891 0.583 0.692 0.308
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 1 0.311 0.454 0.944 0.056
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.932 0.535 0.652 0.348
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 1 0.781 0.425 0.768 0.232
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 1 0.745 0.417 0.788 0.212
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.917 0.496 0.668 0.332
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.886 0.583 0.696 0.304
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 1 0.781 0.425 0.768 0.232
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.913 0.562 0.672 0.328
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 1 0.753 0.424 0.784 0.216
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.891 0.583 0.692 0.308
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.971 0.918 0.400 0.600
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 1 0.909 0.433 0.676 0.324
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 1 0.781 0.425 0.768 0.232
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.891 0.583 0.692 0.308
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.886 0.583 0.696 0.304
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.881 0.473 0.700 0.300
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 1 0.469 0.478 0.900 0.100
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.895 0.582 0.688 0.312
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.886 0.583 0.696 0.304
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 1 0.833 0.439 0.736 0.264
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 1 0.827 0.438 0.740 0.260
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.886 0.583 0.696 0.304
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 1 0.529 0.412 0.880 0.120
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.895 0.577 0.688 0.312
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.2448 0.813 0.076 0.924 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0661 0.925 0.988 0.008 0.004
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.6771 0.558 0.040 0.684 0.276
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1015 0.920 0.980 0.012 0.008
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.6803 0.552 0.040 0.680 0.280
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.1636 0.918 0.964 0.020 0.016
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.2682 0.812 0.076 0.920 0.004
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.3619 0.916 0.000 0.136 0.864
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4465 0.723 0.176 0.820 0.004
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.8228 0.353 0.552 0.084 0.364
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#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.1015 0.924 0.980 0.008 0.012
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.8228 0.353 0.552 0.084 0.364
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.6380 0.736 0.076 0.760 0.164
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.1015 0.926 0.980 0.012 0.008
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0237 0.926 0.996 0.004 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.3267 0.786 0.116 0.884 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.3192 0.789 0.112 0.888 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.1015 0.924 0.980 0.008 0.012
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.7348 0.390 0.044 0.608 0.348
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1636 0.923 0.964 0.020 0.016
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.1474 0.736 0.948 0.000 0.000 0.052
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.7231 0.611 0.028 0.624 0.164 0.184
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1389 0.768 0.952 0.000 0.000 0.048
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.7265 0.606 0.028 0.620 0.164 0.188
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.1545 0.767 0.952 0.000 0.008 0.040
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0376 0.802 0.000 0.992 0.004 0.004
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.2530 0.909 0.000 0.112 0.888 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4262 0.649 0.008 0.756 0.000 0.236
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.7415 0.231 0.512 0.000 0.216 0.272
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0188 0.768 0.996 0.000 0.000 0.004
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.5000 -0.907 0.504 0.000 0.000 0.496
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.6989 0.626 0.024 0.644 0.160 0.172
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.2530 0.909 0.000 0.112 0.888 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.2530 0.909 0.000 0.112 0.888 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.1389 0.768 0.952 0.000 0.000 0.048
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.3754 0.767 0.004 0.856 0.048 0.092
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.3377 0.686 0.848 0.000 0.012 0.140
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.2174 0.791 0.000 0.928 0.020 0.052
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.4336 0.752 0.008 0.828 0.064 0.100
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.4999 0.936 0.492 0.000 0.000 0.508
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.1284 0.798 0.000 0.964 0.024 0.012
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.4103 0.277 0.744 0.000 0.000 0.256
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.2647 0.606 0.880 0.000 0.000 0.120
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.3351 0.682 0.844 0.000 0.008 0.148
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.4079 0.631 0.800 0.000 0.020 0.180
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0707 0.757 0.980 0.000 0.000 0.020
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.7336 0.242 0.520 0.000 0.196 0.284
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.7966 0.199 0.492 0.016 0.232 0.260
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0817 0.799 0.000 0.976 0.024 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1284 0.771 0.964 0.000 0.012 0.024
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.7616 0.568 0.032 0.584 0.172 0.212
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0188 0.767 0.996 0.000 0.000 0.004
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.2469 0.629 0.892 0.000 0.000 0.108
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0592 0.772 0.984 0.000 0.000 0.016
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.1389 0.740 0.952 0.000 0.000 0.048
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.2011 0.690 0.920 0.000 0.000 0.080
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0707 0.757 0.980 0.000 0.000 0.020
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.1211 0.840 0.000 0.000 0.960 0.040
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.6016 0.768 0.020 0.168 0.720 0.092
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0707 0.757 0.980 0.000 0.000 0.020
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0707 0.757 0.980 0.000 0.000 0.020
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.1305 0.800 0.000 0.960 0.004 0.036
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.7340 0.599 0.028 0.612 0.172 0.188
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0817 0.764 0.976 0.000 0.000 0.024
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0188 0.768 0.996 0.000 0.000 0.004
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.2704 0.599 0.876 0.000 0.000 0.124
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.2125 0.746 0.920 0.000 0.004 0.076
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.4035 0.636 0.804 0.000 0.020 0.176
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.7616 0.568 0.032 0.584 0.172 0.212
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.4985 0.971 0.468 0.000 0.000 0.532
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.4989 0.976 0.472 0.000 0.000 0.528
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.7616 0.568 0.032 0.584 0.172 0.212
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.2469 0.908 0.000 0.108 0.892 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0469 0.764 0.988 0.000 0.000 0.012
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.1211 0.840 0.000 0.000 0.960 0.040
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.7027 0.623 0.024 0.640 0.160 0.176
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0188 0.768 0.996 0.000 0.000 0.004
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0188 0.767 0.996 0.000 0.000 0.004
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0707 0.757 0.980 0.000 0.000 0.020
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.1229 0.799 0.004 0.968 0.020 0.008
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.7535 0.586 0.036 0.600 0.164 0.200
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.4641 0.745 0.016 0.816 0.064 0.104
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.4058 0.763 0.020 0.852 0.048 0.080
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.4972 0.975 0.456 0.000 0.000 0.544
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.1004 0.772 0.972 0.000 0.004 0.024
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.2760 0.755 0.000 0.872 0.000 0.128
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.1940 0.756 0.924 0.000 0.000 0.076
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0592 0.772 0.984 0.000 0.000 0.016
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.7974 0.512 0.036 0.544 0.196 0.224
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.4972 0.975 0.456 0.000 0.000 0.544
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.1211 0.758 0.960 0.000 0.000 0.040
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.7566 0.581 0.036 0.596 0.164 0.204
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.7390 0.233 0.512 0.000 0.204 0.284
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.4564 -0.119 0.672 0.000 0.000 0.328
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.2647 0.606 0.880 0.000 0.000 0.120
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.4262 0.649 0.008 0.756 0.000 0.236
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.4121 0.625 0.796 0.000 0.020 0.184
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.2125 0.746 0.920 0.000 0.004 0.076
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.3300 0.684 0.848 0.000 0.008 0.144
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.1211 0.840 0.000 0.000 0.960 0.040
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.6499 0.359 0.612 0.000 0.112 0.276
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.7974 0.512 0.036 0.544 0.196 0.224
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.4158 0.662 0.008 0.768 0.000 0.224
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.6265 0.673 0.032 0.708 0.084 0.176
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.4049 0.673 0.008 0.780 0.000 0.212
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1004 0.772 0.972 0.000 0.004 0.024
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.1584 0.767 0.952 0.000 0.012 0.036
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0895 0.759 0.976 0.000 0.004 0.020
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0817 0.755 0.976 0.000 0.000 0.024
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.2647 0.606 0.880 0.000 0.000 0.120
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.7535 0.586 0.036 0.600 0.164 0.200
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.7535 0.586 0.036 0.600 0.164 0.200
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.3428 0.684 0.844 0.000 0.012 0.144
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0707 0.772 0.980 0.000 0.000 0.020
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.7974 0.512 0.036 0.544 0.196 0.224
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0592 0.772 0.984 0.000 0.000 0.016
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.7008 0.621 0.020 0.636 0.168 0.176
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.1211 0.840 0.000 0.000 0.960 0.040
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.7974 0.512 0.036 0.544 0.196 0.224
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.4761 -0.521 0.628 0.000 0.000 0.372
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.4972 0.975 0.456 0.000 0.000 0.544
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0707 0.772 0.980 0.000 0.000 0.020
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.4898 0.598 0.780 0.000 0.116 0.104
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.1004 0.772 0.972 0.000 0.004 0.024
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0817 0.764 0.976 0.000 0.000 0.024
#> D005833F-E991-4E9E-9667-55F137288004 1 0.2081 0.683 0.916 0.000 0.000 0.084
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.4989 0.976 0.472 0.000 0.000 0.528
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0707 0.772 0.980 0.000 0.000 0.020
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.7999 0.505 0.036 0.540 0.196 0.228
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.2530 0.909 0.000 0.112 0.888 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.3428 0.682 0.844 0.000 0.012 0.144
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0188 0.768 0.996 0.000 0.004 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.766 1.000 0.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.7566 0.581 0.036 0.596 0.164 0.204
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 1 0.7966 0.199 0.492 0.016 0.232 0.260
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.7389 0.235 0.516 0.000 0.212 0.272
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.3300 0.684 0.848 0.000 0.008 0.144
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.7427 0.596 0.032 0.608 0.172 0.188
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.3479 0.679 0.840 0.000 0.012 0.148
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.8003 0.506 0.036 0.540 0.200 0.224
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.2011 0.690 0.920 0.000 0.000 0.080
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0817 0.755 0.976 0.000 0.000 0.024
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.1637 0.760 0.940 0.000 0.000 0.060
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.2647 0.606 0.880 0.000 0.000 0.120
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.1557 0.765 0.944 0.000 0.000 0.056
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0804 0.801 0.000 0.980 0.008 0.012
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.4989 0.976 0.472 0.000 0.000 0.528
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0336 0.802 0.000 0.992 0.000 0.008
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0336 0.770 0.992 0.000 0.000 0.008
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.3495 0.777 0.012 0.868 0.020 0.100
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.3225 0.787 0.016 0.892 0.032 0.060
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.4262 0.649 0.008 0.756 0.000 0.236
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0707 0.757 0.980 0.000 0.000 0.020
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0188 0.801 0.000 0.996 0.000 0.004
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0817 0.766 0.976 0.000 0.000 0.024
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.5734 0.700 0.016 0.744 0.124 0.116
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.2530 0.909 0.000 0.112 0.888 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0707 0.757 0.980 0.000 0.000 0.020
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.1867 0.772 0.000 0.928 0.000 0.072
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.3726 0.680 0.000 0.788 0.000 0.212
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.6016 0.768 0.020 0.168 0.720 0.092
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2081 0.743 0.916 0.000 0.000 0.084
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.4989 0.976 0.472 0.000 0.000 0.528
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.4262 0.649 0.008 0.756 0.000 0.236
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.4838 0.616 0.024 0.724 0.000 0.252
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.7535 0.586 0.036 0.600 0.164 0.200
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0336 0.770 0.992 0.000 0.000 0.008
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.4072 0.153 0.748 0.000 0.000 0.252
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.7008 0.621 0.020 0.636 0.168 0.176
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.3946 0.647 0.812 0.000 0.020 0.168
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4449 0.749 0.012 0.824 0.060 0.104
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.6499 0.359 0.612 0.000 0.112 0.276
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0779 0.773 0.980 0.000 0.004 0.016
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0188 0.802 0.000 0.996 0.004 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.1637 0.758 0.940 0.000 0.000 0.060
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.2616 0.788 0.016 0.920 0.036 0.028
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.5000 -0.907 0.504 0.000 0.000 0.496
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.2530 0.909 0.000 0.112 0.888 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.5261 0.676 0.016 0.716 0.020 0.248
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.802 0.000 1.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.4972 0.975 0.456 0.000 0.000 0.544
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.1109 0.771 0.968 0.000 0.004 0.028
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.7415 0.231 0.512 0.000 0.216 0.272
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.4072 0.749 0.000 0.828 0.120 0.052
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.2149 0.714 0.912 0.000 0.000 0.088
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0921 0.762 0.972 0.000 0.000 0.028
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.3400 0.709 0.000 0.820 0.000 0.180
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.3311 0.713 0.000 0.828 0.000 0.172
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.1109 0.771 0.968 0.000 0.004 0.028
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.8110 0.482 0.036 0.524 0.212 0.228
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1284 0.771 0.964 0.000 0.012 0.024
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0510 0.8375 0.000 0.984 0.000 0.000 0.016
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.1792 0.7603 0.916 0.000 0.000 0.084 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 5 0.3452 0.8658 0.000 0.244 0.000 0.000 0.756
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1753 0.8004 0.936 0.000 0.000 0.032 0.032
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 5 0.3305 0.8848 0.000 0.224 0.000 0.000 0.776
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.1690 0.8049 0.944 0.000 0.008 0.024 0.024
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.1410 0.8282 0.000 0.940 0.000 0.000 0.060
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.6176 0.8338 0.000 0.024 0.612 0.128 0.236
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4252 0.7175 0.004 0.752 0.020 0.216 0.008
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.7176 0.2864 0.496 0.000 0.192 0.044 0.268
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0162 0.8031 0.996 0.000 0.000 0.004 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.4126 0.9237 0.380 0.000 0.000 0.620 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 5 0.3274 0.8840 0.000 0.220 0.000 0.000 0.780
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.6176 0.8338 0.000 0.024 0.612 0.128 0.236
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.6176 0.8338 0.000 0.024 0.612 0.128 0.236
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.1753 0.8004 0.936 0.000 0.000 0.032 0.032
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.4397 0.0687 0.000 0.564 0.000 0.004 0.432
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.3753 0.7293 0.832 0.000 0.020 0.044 0.104
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.3928 0.4996 0.000 0.700 0.000 0.004 0.296
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.4302 -0.1595 0.000 0.520 0.000 0.000 0.480
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.4161 0.9089 0.392 0.000 0.000 0.608 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.2673 0.8040 0.000 0.892 0.016 0.016 0.076
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.4902 0.1524 0.648 0.000 0.000 0.304 0.048
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.2813 0.6112 0.832 0.000 0.000 0.168 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.3716 0.7379 0.844 0.000 0.036 0.048 0.072
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.8362 0.000 1.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.4530 0.6843 0.788 0.000 0.048 0.048 0.116
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0880 0.7926 0.968 0.000 0.000 0.032 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.7165 0.3228 0.520 0.000 0.204 0.052 0.224
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.7326 0.2552 0.484 0.004 0.168 0.048 0.296
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.2332 0.8045 0.000 0.904 0.016 0.004 0.076
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1413 0.8079 0.956 0.000 0.012 0.020 0.012
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 5 0.2690 0.9047 0.000 0.156 0.000 0.000 0.844
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0290 0.8017 0.992 0.000 0.000 0.008 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.2648 0.6407 0.848 0.000 0.000 0.152 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0566 0.8073 0.984 0.000 0.000 0.004 0.012
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0404 0.8373 0.000 0.988 0.000 0.000 0.012
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.8362 0.000 1.000 0.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.1608 0.7695 0.928 0.000 0.000 0.072 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.2074 0.7305 0.896 0.000 0.000 0.104 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0880 0.7926 0.968 0.000 0.000 0.032 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.8362 0.000 1.000 0.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.1410 0.7674 0.000 0.000 0.940 0.000 0.060
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.1732 0.8205 0.000 0.920 0.000 0.000 0.080
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.4637 0.4333 0.000 0.012 0.536 0.000 0.452
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0880 0.7926 0.968 0.000 0.000 0.032 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0880 0.7926 0.968 0.000 0.000 0.032 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.3213 0.7686 0.000 0.836 0.004 0.016 0.144
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0880 0.8347 0.000 0.968 0.000 0.000 0.032
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 5 0.3210 0.8898 0.000 0.212 0.000 0.000 0.788
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0955 0.8006 0.968 0.000 0.000 0.028 0.004
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0162 0.8031 0.996 0.000 0.000 0.004 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.2966 0.5816 0.816 0.000 0.000 0.184 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.2152 0.7872 0.920 0.000 0.004 0.032 0.044
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.4482 0.6884 0.792 0.000 0.048 0.048 0.112
#> E19D5463-FDD0-41C1-A170-323736A88D07 5 0.2732 0.9059 0.000 0.160 0.000 0.000 0.840
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.3999 0.9616 0.344 0.000 0.000 0.656 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.3999 0.9658 0.344 0.000 0.000 0.656 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 5 0.2690 0.9047 0.000 0.156 0.000 0.000 0.844
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.6160 0.8329 0.000 0.024 0.612 0.124 0.240
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0404 0.8009 0.988 0.000 0.000 0.012 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.1410 0.7674 0.000 0.000 0.940 0.000 0.060
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 5 0.3210 0.8901 0.000 0.212 0.000 0.000 0.788
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0162 0.8031 0.996 0.000 0.000 0.004 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0510 0.8383 0.000 0.984 0.000 0.000 0.016
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0290 0.8017 0.992 0.000 0.000 0.008 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0880 0.7926 0.968 0.000 0.000 0.032 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.2732 0.7476 0.000 0.840 0.000 0.000 0.160
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 5 0.2852 0.9095 0.000 0.172 0.000 0.000 0.828
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.4306 -0.2118 0.000 0.508 0.000 0.000 0.492
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.4249 0.0814 0.000 0.568 0.000 0.000 0.432
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.3932 0.9617 0.328 0.000 0.000 0.672 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0960 0.8066 0.972 0.000 0.004 0.016 0.008
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.3981 0.7808 0.000 0.812 0.008 0.096 0.084
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.2824 0.7678 0.872 0.000 0.000 0.096 0.032
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0566 0.8073 0.984 0.000 0.000 0.004 0.012
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 5 0.2230 0.8716 0.000 0.116 0.000 0.000 0.884
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0290 0.8378 0.000 0.992 0.000 0.000 0.008
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.3932 0.9617 0.328 0.000 0.000 0.672 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.8362 0.000 1.000 0.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.1357 0.7941 0.948 0.000 0.000 0.048 0.004
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.8362 0.000 1.000 0.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0162 0.8374 0.000 0.996 0.000 0.000 0.004
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 5 0.2813 0.9090 0.000 0.168 0.000 0.000 0.832
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.7280 0.2924 0.496 0.000 0.204 0.052 0.248
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.5243 -0.3441 0.540 0.000 0.000 0.412 0.048
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.2813 0.6112 0.832 0.000 0.000 0.168 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.4252 0.7175 0.004 0.752 0.020 0.216 0.008
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.4578 0.6800 0.784 0.000 0.048 0.048 0.120
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.2152 0.7872 0.920 0.000 0.004 0.032 0.044
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.3658 0.7296 0.836 0.000 0.016 0.044 0.104
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.1410 0.7674 0.000 0.000 0.940 0.000 0.060
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.6589 0.4321 0.596 0.000 0.128 0.052 0.224
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 5 0.2230 0.8716 0.000 0.116 0.000 0.000 0.884
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.4627 0.7208 0.004 0.744 0.020 0.204 0.028
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0609 0.8386 0.000 0.980 0.000 0.000 0.020
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 5 0.3876 0.7322 0.000 0.316 0.000 0.000 0.684
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.4055 0.7357 0.004 0.776 0.020 0.192 0.008
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0960 0.8066 0.972 0.000 0.004 0.016 0.008
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.1524 0.8054 0.952 0.000 0.016 0.016 0.016
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.1041 0.7939 0.964 0.000 0.004 0.032 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.1121 0.7873 0.956 0.000 0.000 0.044 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.2813 0.6112 0.832 0.000 0.000 0.168 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 5 0.2852 0.9095 0.000 0.172 0.000 0.000 0.828
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.8362 0.000 1.000 0.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 5 0.2852 0.9095 0.000 0.172 0.000 0.000 0.828
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.1043 0.8353 0.000 0.960 0.000 0.000 0.040
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.3731 0.7382 0.844 0.000 0.040 0.048 0.068
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0671 0.8065 0.980 0.000 0.000 0.016 0.004
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 5 0.2230 0.8716 0.000 0.116 0.000 0.000 0.884
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0566 0.8073 0.984 0.000 0.000 0.004 0.012
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.1608 0.8248 0.000 0.928 0.000 0.000 0.072
#> 2C1F9079-602E-4252-82C7-9D8799E04246 5 0.3508 0.8500 0.000 0.252 0.000 0.000 0.748
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.1410 0.7674 0.000 0.000 0.940 0.000 0.060
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.1043 0.8353 0.000 0.960 0.000 0.000 0.040
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0510 0.8375 0.000 0.984 0.000 0.000 0.016
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 5 0.2230 0.8716 0.000 0.116 0.000 0.000 0.884
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.4297 -0.5625 0.528 0.000 0.000 0.472 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.3932 0.9617 0.328 0.000 0.000 0.672 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0609 0.8386 0.000 0.980 0.000 0.000 0.020
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0671 0.8065 0.980 0.000 0.000 0.016 0.004
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.4811 0.6639 0.768 0.000 0.116 0.036 0.080
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0960 0.8068 0.972 0.000 0.004 0.016 0.008
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0955 0.8006 0.968 0.000 0.000 0.028 0.004
#> D005833F-E991-4E9E-9667-55F137288004 1 0.2230 0.7154 0.884 0.000 0.000 0.116 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.3999 0.9658 0.344 0.000 0.000 0.656 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0671 0.8065 0.980 0.000 0.000 0.016 0.004
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 5 0.2389 0.8688 0.000 0.116 0.004 0.000 0.880
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.6176 0.8338 0.000 0.024 0.612 0.128 0.236
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0609 0.8378 0.000 0.980 0.000 0.000 0.020
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.3805 0.7257 0.828 0.000 0.020 0.044 0.108
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0162 0.8036 0.996 0.000 0.004 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.8018 1.000 0.000 0.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 5 0.2813 0.9090 0.000 0.168 0.000 0.000 0.832
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 1 0.7326 0.2552 0.484 0.004 0.168 0.048 0.296
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.7152 0.2921 0.500 0.000 0.188 0.044 0.268
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0510 0.8375 0.000 0.984 0.000 0.000 0.016
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.3658 0.7296 0.836 0.000 0.016 0.044 0.104
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 5 0.3143 0.8954 0.000 0.204 0.000 0.000 0.796
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.3793 0.7354 0.840 0.000 0.040 0.048 0.072
#> 41183565-434D-474C-B1BD-CA6E94910658 5 0.2777 0.8693 0.000 0.120 0.016 0.000 0.864
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.2074 0.7305 0.896 0.000 0.000 0.104 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.1121 0.7866 0.956 0.000 0.000 0.044 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.1954 0.7958 0.932 0.000 0.008 0.028 0.032
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.2813 0.6112 0.832 0.000 0.000 0.168 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.1967 0.8039 0.932 0.000 0.012 0.036 0.020
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.2471 0.7790 0.000 0.864 0.000 0.000 0.136
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.1043 0.8356 0.000 0.960 0.000 0.000 0.040
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.3999 0.9658 0.344 0.000 0.000 0.656 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.1732 0.8099 0.000 0.920 0.000 0.000 0.080
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0290 0.8047 0.992 0.000 0.000 0.008 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.4930 0.5623 0.000 0.676 0.004 0.052 0.268
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.4535 0.5040 0.000 0.684 0.004 0.024 0.288
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.4252 0.7175 0.004 0.752 0.020 0.216 0.008
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0880 0.7926 0.968 0.000 0.000 0.032 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0162 0.8368 0.000 0.996 0.000 0.000 0.004
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0671 0.8390 0.000 0.980 0.000 0.004 0.016
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.1041 0.7997 0.964 0.000 0.000 0.032 0.004
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 5 0.4249 0.4334 0.000 0.432 0.000 0.000 0.568
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0609 0.8378 0.000 0.980 0.000 0.000 0.020
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.6176 0.8338 0.000 0.024 0.612 0.128 0.236
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.8362 0.000 1.000 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0963 0.7909 0.964 0.000 0.000 0.036 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.2074 0.8204 0.000 0.920 0.004 0.060 0.016
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.4280 0.7365 0.000 0.764 0.016 0.192 0.028
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0510 0.8375 0.000 0.984 0.000 0.000 0.016
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.4637 0.4333 0.000 0.012 0.536 0.000 0.452
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2124 0.7849 0.916 0.000 0.000 0.028 0.056
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.3999 0.9658 0.344 0.000 0.000 0.656 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.4252 0.7175 0.004 0.752 0.020 0.216 0.008
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.4481 0.6886 0.004 0.720 0.020 0.248 0.008
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 5 0.2852 0.9095 0.000 0.172 0.000 0.000 0.828
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0290 0.8047 0.992 0.000 0.000 0.008 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.4074 -0.0660 0.636 0.000 0.000 0.364 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 5 0.3508 0.8500 0.000 0.252 0.000 0.000 0.748
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.4383 0.6977 0.800 0.000 0.048 0.048 0.104
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.8362 0.000 1.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4304 -0.1801 0.000 0.516 0.000 0.000 0.484
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.6589 0.4321 0.596 0.000 0.128 0.052 0.224
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0727 0.8077 0.980 0.000 0.004 0.012 0.004
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.1043 0.8314 0.000 0.960 0.000 0.000 0.040
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.1648 0.7969 0.940 0.000 0.000 0.020 0.040
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.3949 0.4217 0.000 0.668 0.000 0.000 0.332
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.4126 0.9237 0.380 0.000 0.000 0.620 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.6176 0.8338 0.000 0.024 0.612 0.128 0.236
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.6661 0.3548 0.004 0.532 0.012 0.176 0.276
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.8362 0.000 1.000 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.3932 0.9617 0.328 0.000 0.000 0.672 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.1059 0.8063 0.968 0.000 0.004 0.020 0.008
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.7176 0.2864 0.496 0.000 0.192 0.044 0.268
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.4109 0.5333 0.000 0.700 0.012 0.000 0.288
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.2864 0.6938 0.852 0.000 0.000 0.136 0.012
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.1124 0.7970 0.960 0.000 0.000 0.036 0.004
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.4483 0.7495 0.000 0.772 0.020 0.156 0.052
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.4309 0.7578 0.000 0.784 0.016 0.148 0.052
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.1059 0.8063 0.968 0.000 0.004 0.020 0.008
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 5 0.2864 0.8502 0.000 0.112 0.024 0.000 0.864
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1209 0.8073 0.964 0.000 0.012 0.012 0.012
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0458 0.8425 0.000 0.984 0.000 0.000 0.000 0.016
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.3192 0.6936 0.776 0.000 0.004 0.216 0.004 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 6 0.2454 0.7627 0.000 0.160 0.000 0.000 0.000 0.840
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1708 0.8247 0.932 0.000 0.000 0.040 0.004 0.024
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 6 0.1910 0.8075 0.000 0.108 0.000 0.000 0.000 0.892
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.1881 0.8304 0.928 0.000 0.008 0.044 0.008 0.012
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.1444 0.8294 0.000 0.928 0.000 0.000 0.000 0.072
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.4094 0.9915 0.000 0.016 0.776 0.000 0.108 0.100
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.5100 0.6708 0.000 0.668 0.208 0.108 0.008 0.008
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.6526 0.3885 0.492 0.000 0.000 0.048 0.248 0.212
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0260 0.8251 0.992 0.000 0.000 0.008 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.2378 0.8188 0.152 0.000 0.000 0.848 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 6 0.1957 0.8030 0.000 0.112 0.000 0.000 0.000 0.888
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.4094 0.9915 0.000 0.016 0.776 0.000 0.108 0.100
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.4094 0.9915 0.000 0.016 0.776 0.000 0.108 0.100
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.1636 0.8246 0.936 0.000 0.000 0.036 0.004 0.024
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.3998 -0.0346 0.000 0.504 0.004 0.000 0.000 0.492
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.3432 0.7734 0.836 0.000 0.000 0.044 0.036 0.084
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.3874 0.4079 0.000 0.636 0.008 0.000 0.000 0.356
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 6 0.3810 0.3090 0.000 0.428 0.000 0.000 0.000 0.572
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.2491 0.8030 0.164 0.000 0.000 0.836 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.2630 0.8049 0.000 0.872 0.032 0.004 0.000 0.092
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.4649 0.2340 0.572 0.000 0.000 0.380 0.000 0.048
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.3050 0.6405 0.764 0.000 0.000 0.236 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.3247 0.7826 0.852 0.000 0.000 0.048 0.052 0.048
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.8412 0.000 1.000 0.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.4041 0.7424 0.796 0.000 0.000 0.048 0.068 0.088
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.2501 0.7843 0.872 0.000 0.016 0.108 0.004 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.6371 0.4284 0.516 0.000 0.000 0.048 0.264 0.172
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.6664 0.3550 0.476 0.000 0.000 0.056 0.224 0.244
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.2333 0.8058 0.000 0.884 0.024 0.000 0.000 0.092
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1526 0.8311 0.944 0.000 0.008 0.036 0.008 0.004
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.0632 0.8207 0.000 0.024 0.000 0.000 0.000 0.976
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.1007 0.8203 0.956 0.000 0.000 0.044 0.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.2912 0.6704 0.784 0.000 0.000 0.216 0.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0622 0.8290 0.980 0.000 0.000 0.008 0.000 0.012
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0363 0.8423 0.000 0.988 0.000 0.000 0.000 0.012
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.8412 0.000 1.000 0.000 0.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.3104 0.7063 0.788 0.000 0.004 0.204 0.004 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.3401 0.6908 0.776 0.000 0.016 0.204 0.004 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.2095 0.8031 0.904 0.000 0.016 0.076 0.004 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.8412 0.000 1.000 0.000 0.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 5 0.1492 0.6729 0.000 0.000 0.036 0.000 0.940 0.024
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.2003 0.8080 0.000 0.884 0.000 0.000 0.000 0.116
#> 51061018-95AB-4278-886F-F69E4EBC47C0 5 0.4072 0.4047 0.000 0.000 0.008 0.000 0.544 0.448
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.2095 0.8031 0.904 0.000 0.016 0.076 0.004 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.2095 0.8031 0.904 0.000 0.016 0.076 0.004 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.4258 0.7387 0.000 0.752 0.048 0.028 0.000 0.172
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0790 0.8405 0.000 0.968 0.000 0.000 0.000 0.032
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 6 0.1765 0.8108 0.000 0.096 0.000 0.000 0.000 0.904
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.1836 0.8192 0.928 0.000 0.012 0.048 0.008 0.004
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0547 0.8261 0.980 0.000 0.000 0.020 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.3126 0.6208 0.752 0.000 0.000 0.248 0.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.1829 0.8155 0.928 0.000 0.000 0.036 0.008 0.028
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.3991 0.7457 0.800 0.000 0.000 0.048 0.068 0.084
#> E19D5463-FDD0-41C1-A170-323736A88D07 6 0.0713 0.8228 0.000 0.028 0.000 0.000 0.000 0.972
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.1863 0.8372 0.104 0.000 0.000 0.896 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.2163 0.8361 0.092 0.000 0.016 0.892 0.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 6 0.0632 0.8207 0.000 0.024 0.000 0.000 0.000 0.976
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.4527 0.9469 0.000 0.016 0.732 0.000 0.152 0.100
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0935 0.8253 0.964 0.000 0.000 0.032 0.004 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 5 0.1492 0.6729 0.000 0.000 0.036 0.000 0.940 0.024
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 6 0.1863 0.8084 0.000 0.104 0.000 0.000 0.000 0.896
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0547 0.8261 0.980 0.000 0.000 0.020 0.000 0.000
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#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.1007 0.8203 0.956 0.000 0.000 0.044 0.000 0.000
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#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 6 0.1007 0.8285 0.000 0.044 0.000 0.000 0.000 0.956
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#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.3868 -0.0264 0.000 0.504 0.000 0.000 0.000 0.496
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.1663 0.8331 0.088 0.000 0.000 0.912 0.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0632 0.8279 0.976 0.000 0.000 0.024 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.4719 0.7468 0.000 0.732 0.132 0.036 0.000 0.100
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.3809 0.6835 0.732 0.000 0.000 0.240 0.004 0.024
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0767 0.8292 0.976 0.000 0.000 0.008 0.004 0.012
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 6 0.0458 0.7917 0.000 0.000 0.000 0.000 0.016 0.984
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#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.1663 0.8331 0.088 0.000 0.000 0.912 0.000 0.000
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#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 6 0.1007 0.8285 0.000 0.044 0.000 0.000 0.000 0.956
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#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0692 0.8287 0.976 0.000 0.000 0.020 0.004 0.000
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#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.4094 0.9915 0.000 0.016 0.776 0.000 0.108 0.100
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0632 0.8428 0.000 0.976 0.000 0.000 0.000 0.024
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.3411 0.7725 0.836 0.000 0.000 0.044 0.032 0.088
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#> A3853813-B9D5-4E8C-B075-19FCC35F8686 1 0.6664 0.3550 0.476 0.000 0.000 0.056 0.224 0.244
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#> 22EE8076-F07C-499A-9AF8-D800A77EF154 6 0.1501 0.8205 0.000 0.076 0.000 0.000 0.000 0.924
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.3308 0.7805 0.848 0.000 0.000 0.048 0.056 0.048
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#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.3401 0.6908 0.776 0.000 0.016 0.204 0.004 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.2846 0.7599 0.840 0.000 0.016 0.140 0.004 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.1630 0.8225 0.940 0.000 0.000 0.016 0.020 0.024
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.3050 0.6405 0.764 0.000 0.000 0.236 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.2617 0.8228 0.884 0.000 0.012 0.080 0.016 0.008
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.2527 0.7674 0.000 0.832 0.000 0.000 0.000 0.168
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.1219 0.8394 0.000 0.948 0.004 0.000 0.000 0.048
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.2214 0.8362 0.096 0.000 0.016 0.888 0.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.1610 0.8155 0.000 0.916 0.000 0.000 0.000 0.084
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0603 0.8275 0.980 0.000 0.000 0.016 0.004 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.4585 0.5582 0.000 0.648 0.068 0.000 0.000 0.284
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.4393 0.4348 0.000 0.628 0.024 0.008 0.000 0.340
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.5100 0.6708 0.000 0.668 0.208 0.108 0.008 0.008
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.2039 0.8051 0.908 0.000 0.016 0.072 0.004 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0146 0.8420 0.000 0.996 0.000 0.000 0.000 0.004
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0777 0.8439 0.000 0.972 0.004 0.000 0.000 0.024
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.2095 0.8079 0.904 0.000 0.016 0.076 0.004 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 6 0.3659 0.4287 0.000 0.364 0.000 0.000 0.000 0.636
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0632 0.8428 0.000 0.976 0.000 0.000 0.000 0.024
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.4094 0.9915 0.000 0.016 0.776 0.000 0.108 0.100
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.8412 0.000 1.000 0.000 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.2636 0.7769 0.860 0.000 0.016 0.120 0.004 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.1982 0.8297 0.000 0.912 0.068 0.004 0.000 0.016
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.5245 0.6902 0.000 0.676 0.204 0.080 0.008 0.032
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0547 0.8433 0.000 0.980 0.000 0.000 0.000 0.020
#> 765AFFC1-D528-4494-8BA1-0706451E4205 5 0.4072 0.4047 0.000 0.000 0.008 0.000 0.544 0.448
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.1864 0.8153 0.924 0.000 0.000 0.032 0.004 0.040
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.2163 0.8361 0.092 0.000 0.016 0.892 0.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.5100 0.6708 0.000 0.668 0.208 0.108 0.008 0.008
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.5397 0.6364 0.000 0.636 0.208 0.140 0.008 0.008
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 6 0.1007 0.8285 0.000 0.044 0.000 0.000 0.000 0.956
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0603 0.8275 0.980 0.000 0.000 0.016 0.004 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.3847 0.2498 0.456 0.000 0.000 0.544 0.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 6 0.2527 0.7472 0.000 0.168 0.000 0.000 0.000 0.832
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.3888 0.7525 0.808 0.000 0.000 0.048 0.068 0.076
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.8412 0.000 1.000 0.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 6 0.3756 0.3916 0.000 0.400 0.000 0.000 0.000 0.600
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.5989 0.5192 0.592 0.000 0.000 0.048 0.172 0.188
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0862 0.8297 0.972 0.000 0.000 0.016 0.008 0.004
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.1075 0.8358 0.000 0.952 0.000 0.000 0.000 0.048
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.1562 0.8229 0.940 0.000 0.000 0.024 0.004 0.032
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.3737 0.3403 0.000 0.608 0.000 0.000 0.000 0.392
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.2378 0.8188 0.152 0.000 0.000 0.848 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.4094 0.9915 0.000 0.016 0.776 0.000 0.108 0.100
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.7126 0.1585 0.000 0.396 0.188 0.084 0.004 0.328
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0146 0.8423 0.000 0.996 0.000 0.000 0.000 0.004
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.1663 0.8331 0.088 0.000 0.000 0.912 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0777 0.8276 0.972 0.000 0.000 0.024 0.004 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.6526 0.3885 0.492 0.000 0.000 0.048 0.248 0.212
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.4230 0.5774 0.000 0.676 0.004 0.004 0.024 0.292
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.2915 0.7289 0.808 0.000 0.000 0.184 0.000 0.008
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2144 0.8121 0.908 0.000 0.012 0.068 0.008 0.004
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.5350 0.6980 0.000 0.672 0.204 0.048 0.008 0.068
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.5220 0.7087 0.000 0.684 0.192 0.052 0.004 0.068
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0777 0.8276 0.972 0.000 0.000 0.024 0.004 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.1007 0.7716 0.000 0.000 0.000 0.000 0.044 0.956
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1078 0.8295 0.964 0.000 0.000 0.016 0.012 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["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 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.999 1.000 0.5022 0.498 0.498
#> 3 3 0.685 0.672 0.815 0.2277 0.965 0.931
#> 4 4 0.648 0.731 0.841 0.1297 0.816 0.613
#> 5 5 0.682 0.675 0.772 0.0849 0.918 0.747
#> 6 6 0.713 0.661 0.775 0.0513 0.905 0.651
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.999 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 1.000 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.999 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 1.000 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.999 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 1.000 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.999 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0000 0.999 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 0.999 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 1.000 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 1.000 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 1.000 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.999 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0000 0.999 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.0000 0.999 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 1.000 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.999 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 1.000 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.999 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.999 0.000 1.000
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#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 1.000 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.999 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.999 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.0000 0.999 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.999 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 1.000 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.999 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.999 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.999 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.0000 0.999 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 1.000 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 1.000 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.0000 0.999 0.000 1.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.0000 1.000 1.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.999 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 1.000 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 1.000 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.999 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 1.000 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.999 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.999 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 1.000 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 1.000 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.999 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 1.000 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.999 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 1.000 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.0000 0.999 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.999 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.999 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 1.000 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 1.000 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.0000 1.000 1.000 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.999 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 1.000 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 1.000 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.999 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.999 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 1.000 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.999 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 1.000 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.8224 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.6168 0.6343 0.588 0.000 0.412
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.1860 0.7948 0.000 0.948 0.052
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0892 0.8045 0.980 0.000 0.020
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0424 0.8205 0.000 0.992 0.008
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0747 0.8044 0.984 0.000 0.016
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.8224 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.6280 0.0483 0.000 0.540 0.460
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.3340 0.6961 0.000 0.880 0.120
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.5138 0.5270 0.748 0.000 0.252
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0747 0.8040 0.984 0.000 0.016
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.6204 0.6308 0.576 0.000 0.424
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0592 0.8188 0.000 0.988 0.012
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.6267 0.0767 0.000 0.548 0.452
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.6286 0.0354 0.000 0.536 0.464
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.1163 0.8015 0.972 0.000 0.028
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0237 0.8214 0.000 0.996 0.004
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.2066 0.7798 0.940 0.000 0.060
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0237 0.8214 0.000 0.996 0.004
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0424 0.8205 0.000 0.992 0.008
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.6204 0.6308 0.576 0.000 0.424
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.3551 0.7226 0.000 0.868 0.132
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.5431 0.7086 0.716 0.000 0.284
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.6095 0.6530 0.608 0.000 0.392
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.1163 0.7987 0.972 0.000 0.028
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.8224 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.3879 0.6849 0.848 0.000 0.152
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3038 0.7833 0.896 0.000 0.104
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.5216 0.4877 0.740 0.000 0.260
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.5098 0.5277 0.752 0.000 0.248
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.3038 0.7503 0.000 0.896 0.104
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0747 0.8055 0.984 0.000 0.016
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.5926 0.3741 0.000 0.644 0.356
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.5621 0.6974 0.692 0.000 0.308
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.6095 0.6530 0.608 0.000 0.392
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.1163 0.8015 0.972 0.000 0.028
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.8224 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.8224 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.6062 0.6531 0.616 0.000 0.384
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0747 0.8044 0.984 0.000 0.016
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0747 0.8040 0.984 0.000 0.016
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.8224 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.8395 0.4209 0.104 0.328 0.568
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.8224 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.6598 0.2489 0.008 0.428 0.564
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0592 0.8043 0.988 0.000 0.012
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0747 0.8040 0.984 0.000 0.016
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0592 0.8194 0.000 0.988 0.012
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.8224 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.6062 0.3061 0.000 0.616 0.384
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0424 0.8040 0.992 0.000 0.008
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0747 0.8029 0.984 0.000 0.016
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.6154 0.6425 0.592 0.000 0.408
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0592 0.8041 0.988 0.000 0.012
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.4842 0.5712 0.776 0.000 0.224
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.5988 0.3470 0.000 0.632 0.368
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.6192 0.6315 0.580 0.000 0.420
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.6180 0.6310 0.584 0.000 0.416
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.6204 0.1849 0.000 0.576 0.424
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.6432 0.2521 0.004 0.428 0.568
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0892 0.8045 0.980 0.000 0.020
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.6204 0.3862 0.424 0.000 0.576
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0892 0.8162 0.000 0.980 0.020
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.3752 0.7703 0.856 0.000 0.144
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.8224 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0892 0.8045 0.980 0.000 0.020
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0592 0.8043 0.988 0.000 0.012
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.8224 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.4291 0.6676 0.000 0.820 0.180
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.3192 0.7475 0.000 0.888 0.112
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0747 0.8179 0.000 0.984 0.016
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.6192 0.6315 0.580 0.000 0.420
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.1031 0.8029 0.976 0.000 0.024
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0237 0.8214 0.000 0.996 0.004
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.5678 0.6938 0.684 0.000 0.316
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0747 0.8040 0.984 0.000 0.016
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.6215 0.1707 0.000 0.572 0.428
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.8224 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.6192 0.6315 0.580 0.000 0.420
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.8224 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.2537 0.7953 0.920 0.000 0.080
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.8224 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.8224 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.6045 0.3179 0.000 0.620 0.380
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.5178 0.5188 0.744 0.000 0.256
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.6192 0.6315 0.580 0.000 0.420
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.6095 0.6530 0.608 0.000 0.392
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.6410 0.6277 0.576 0.004 0.420
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.4887 0.5635 0.772 0.000 0.228
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0747 0.8044 0.984 0.000 0.016
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.3192 0.7354 0.888 0.000 0.112
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.6204 0.3862 0.424 0.000 0.576
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.1289 0.7988 0.968 0.000 0.032
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.6225 0.1568 0.000 0.568 0.432
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.5450 0.5210 0.012 0.760 0.228
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.8224 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.1753 0.8003 0.000 0.952 0.048
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.5016 0.5196 0.000 0.760 0.240
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0892 0.8034 0.980 0.000 0.020
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0892 0.8045 0.980 0.000 0.020
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0747 0.8044 0.984 0.000 0.016
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.5859 0.6783 0.656 0.000 0.344
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.6095 0.6530 0.608 0.000 0.392
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.5560 0.4805 0.000 0.700 0.300
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.8224 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.3879 0.7006 0.000 0.848 0.152
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.8224 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.1163 0.7952 0.972 0.000 0.028
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0424 0.8043 0.992 0.000 0.008
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.6045 0.3179 0.000 0.620 0.380
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.1163 0.8015 0.972 0.000 0.028
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.8224 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0892 0.8162 0.000 0.980 0.020
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.6215 0.3783 0.428 0.000 0.572
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.8224 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.8224 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.6225 0.1568 0.000 0.568 0.432
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.6180 0.6310 0.584 0.000 0.416
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.6204 0.6308 0.576 0.000 0.424
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.8224 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0892 0.8018 0.980 0.000 0.020
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.3192 0.7407 0.888 0.000 0.112
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.1289 0.8002 0.968 0.000 0.032
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0892 0.8015 0.980 0.000 0.020
#> D005833F-E991-4E9E-9667-55F137288004 1 0.6180 0.6310 0.584 0.000 0.416
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.6180 0.6310 0.584 0.000 0.416
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0747 0.8050 0.984 0.000 0.016
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.6215 0.1707 0.000 0.572 0.428
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.6280 0.0483 0.000 0.540 0.460
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.8224 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.2711 0.7569 0.912 0.000 0.088
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.1289 0.8002 0.968 0.000 0.032
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.1031 0.8045 0.976 0.000 0.024
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.6026 0.3278 0.000 0.624 0.376
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.4062 0.6867 0.000 0.836 0.164
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.3038 0.7433 0.896 0.000 0.104
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.8224 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.1163 0.7975 0.972 0.000 0.028
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.5926 0.3743 0.000 0.644 0.356
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.1411 0.7951 0.964 0.000 0.036
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.6664 -0.0149 0.008 0.528 0.464
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.5905 0.6718 0.648 0.000 0.352
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.1529 0.8020 0.960 0.000 0.040
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.1529 0.7955 0.960 0.000 0.040
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.5497 0.7049 0.708 0.000 0.292
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0892 0.8015 0.980 0.000 0.020
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.8224 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.8224 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.6180 0.6310 0.584 0.000 0.416
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.8224 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0892 0.8047 0.980 0.000 0.020
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0237 0.8214 0.000 0.996 0.004
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.1860 0.7972 0.000 0.948 0.052
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.5016 0.5204 0.000 0.760 0.240
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0892 0.8015 0.980 0.000 0.020
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.8224 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.8224 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0892 0.8015 0.980 0.000 0.020
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.1289 0.8095 0.000 0.968 0.032
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.8224 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.6280 0.0483 0.000 0.540 0.460
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.8224 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.2711 0.7888 0.912 0.000 0.088
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.8224 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0237 0.8214 0.000 0.996 0.004
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.8224 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.6302 0.0605 0.000 0.480 0.520
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.1163 0.7990 0.972 0.000 0.028
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.6180 0.6310 0.584 0.000 0.416
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.6140 0.2477 0.000 0.596 0.404
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.6192 0.6315 0.580 0.000 0.420
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.6204 0.1829 0.000 0.576 0.424
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0892 0.8047 0.980 0.000 0.020
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.6204 0.6302 0.576 0.000 0.424
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0237 0.8214 0.000 0.996 0.004
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.3267 0.7313 0.884 0.000 0.116
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.8224 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0747 0.8179 0.000 0.984 0.016
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.2711 0.7569 0.912 0.000 0.088
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0424 0.8040 0.992 0.000 0.008
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.8224 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0892 0.8045 0.980 0.000 0.020
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0424 0.8201 0.000 0.992 0.008
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.6192 0.6315 0.580 0.000 0.420
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.6291 0.0185 0.000 0.532 0.468
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0237 0.8214 0.000 0.996 0.004
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.8224 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.6192 0.6315 0.580 0.000 0.420
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.1289 0.8002 0.968 0.000 0.032
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.6168 0.0577 0.588 0.000 0.412
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.1964 0.7909 0.000 0.944 0.056
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.5706 0.6918 0.680 0.000 0.320
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0892 0.8015 0.980 0.000 0.020
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0237 0.8214 0.000 0.996 0.004
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0237 0.8214 0.000 0.996 0.004
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.1289 0.8002 0.968 0.000 0.032
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.6654 0.0182 0.008 0.536 0.456
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0892 0.8047 0.980 0.000 0.020
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0592 0.8476 0.000 0.984 0.000 0.016
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.4507 0.8968 0.224 0.000 0.020 0.756
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.4584 0.5470 0.000 0.696 0.300 0.004
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.4188 0.6404 0.000 0.752 0.244 0.004
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0707 0.8506 0.980 0.000 0.020 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.8491 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.6883 0.6698 0.000 0.212 0.596 0.192
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.5289 0.3790 0.000 0.636 0.020 0.344
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.4755 0.7400 0.760 0.000 0.200 0.040
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.3801 0.9072 0.220 0.000 0.000 0.780
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.3837 0.6636 0.000 0.776 0.224 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.6883 0.6698 0.000 0.212 0.596 0.192
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.6133 0.7145 0.000 0.136 0.676 0.188
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.8491 0.000 1.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.3080 0.8341 0.880 0.000 0.096 0.024
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.8491 0.000 1.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.3873 0.6595 0.000 0.772 0.228 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.3801 0.9072 0.220 0.000 0.000 0.780
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.5257 -0.0385 0.000 0.548 0.444 0.008
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.4776 0.0850 0.624 0.000 0.000 0.376
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4916 -0.1221 0.576 0.000 0.000 0.424
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2843 0.8436 0.892 0.000 0.088 0.020
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0524 0.8476 0.000 0.988 0.004 0.008
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.4149 0.7773 0.804 0.000 0.168 0.028
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3071 0.8407 0.888 0.000 0.068 0.044
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4904 0.7207 0.744 0.000 0.216 0.040
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.4853 0.7310 0.744 0.000 0.220 0.036
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.5112 0.2680 0.000 0.608 0.384 0.008
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1118 0.8551 0.964 0.000 0.036 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.4454 0.6912 0.000 0.308 0.692 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.4790 0.0679 0.620 0.000 0.000 0.380
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4981 -0.2830 0.536 0.000 0.000 0.464
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0707 0.8464 0.000 0.980 0.000 0.020
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0524 0.8476 0.000 0.988 0.004 0.008
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.5498 0.5555 0.404 0.000 0.020 0.576
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.2255 0.8517 0.920 0.000 0.068 0.012
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.2542 0.8493 0.904 0.000 0.084 0.012
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0895 0.8444 0.000 0.976 0.004 0.020
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.4265 0.6324 0.016 0.016 0.812 0.156
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0188 0.8490 0.000 0.996 0.000 0.004
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.1824 0.7257 0.000 0.060 0.936 0.004
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.2473 0.8502 0.908 0.000 0.080 0.012
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.2542 0.8493 0.904 0.000 0.084 0.012
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.3610 0.6916 0.000 0.800 0.200 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0336 0.8488 0.000 0.992 0.000 0.008
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 3 0.4406 0.7022 0.000 0.300 0.700 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.2402 0.8508 0.912 0.000 0.076 0.012
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.8532 1.000 0.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.4967 0.5298 0.452 0.000 0.000 0.548
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0469 0.8527 0.988 0.000 0.012 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.4244 0.7735 0.800 0.000 0.168 0.032
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.4431 0.6972 0.000 0.304 0.696 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.3801 0.9072 0.220 0.000 0.000 0.780
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.4158 0.9044 0.224 0.000 0.008 0.768
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.4103 0.7407 0.000 0.256 0.744 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.5318 0.6876 0.000 0.072 0.732 0.196
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.4244 0.6063 0.036 0.000 0.804 0.160
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.4382 0.5533 0.000 0.704 0.296 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.1406 0.8385 0.960 0.000 0.016 0.024
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.8491 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.2048 0.8533 0.928 0.000 0.064 0.008
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0188 0.8482 0.000 0.996 0.004 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.5125 0.3135 0.000 0.604 0.388 0.008
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.4977 0.0017 0.000 0.540 0.460 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.3873 0.6582 0.000 0.772 0.228 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.3801 0.9072 0.220 0.000 0.000 0.780
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.2281 0.7962 0.000 0.904 0.096 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.4961 -0.1476 0.552 0.000 0.000 0.448
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.4040 0.7445 0.000 0.248 0.752 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0895 0.8444 0.000 0.976 0.004 0.020
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.3982 0.9062 0.220 0.000 0.004 0.776
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0524 0.8476 0.000 0.988 0.004 0.008
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.3149 0.8444 0.880 0.000 0.088 0.032
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0895 0.8444 0.000 0.976 0.004 0.020
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.8491 0.000 1.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.4382 0.7066 0.000 0.296 0.704 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.4877 0.7316 0.752 0.000 0.204 0.044
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.3801 0.9072 0.220 0.000 0.000 0.780
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.4972 -0.2524 0.544 0.000 0.000 0.456
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.4248 0.9026 0.220 0.000 0.012 0.768
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.4199 0.7740 0.804 0.000 0.164 0.032
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.1211 0.8545 0.960 0.000 0.040 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.3913 0.7943 0.824 0.000 0.148 0.028
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.4290 0.6053 0.036 0.000 0.800 0.164
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.2742 0.8439 0.900 0.000 0.076 0.024
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.4008 0.7464 0.000 0.244 0.756 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.5756 0.4606 0.000 0.224 0.084 0.692
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0188 0.8490 0.000 0.996 0.000 0.004
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.4500 0.5068 0.000 0.684 0.316 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.5329 0.2308 0.000 0.568 0.012 0.420
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0895 0.8561 0.976 0.000 0.020 0.004
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.2402 0.8510 0.912 0.000 0.076 0.012
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.3335 0.7428 0.860 0.000 0.020 0.120
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.5097 -0.1415 0.568 0.000 0.004 0.428
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 3 0.4907 0.4297 0.000 0.420 0.580 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0895 0.8444 0.000 0.976 0.004 0.020
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.4990 0.4226 0.000 0.640 0.352 0.008
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0188 0.8490 0.000 0.996 0.000 0.004
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.2775 0.8417 0.896 0.000 0.084 0.020
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.8532 1.000 0.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.4382 0.7066 0.000 0.296 0.704 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.8491 0.000 1.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.4477 0.5217 0.000 0.688 0.312 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.6576 0.3813 0.220 0.000 0.628 0.152
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0657 0.8480 0.000 0.984 0.004 0.012
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0592 0.8476 0.000 0.984 0.000 0.016
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.4008 0.7464 0.000 0.244 0.756 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.4158 0.9044 0.224 0.000 0.008 0.768
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.3801 0.9072 0.220 0.000 0.000 0.780
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0592 0.8476 0.000 0.984 0.000 0.016
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.8532 1.000 0.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.3787 0.8085 0.840 0.000 0.124 0.036
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.2730 0.8482 0.896 0.000 0.088 0.016
#> D005833F-E991-4E9E-9667-55F137288004 4 0.4507 0.8968 0.224 0.000 0.020 0.756
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.4158 0.9044 0.224 0.000 0.008 0.768
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0336 0.8526 0.992 0.000 0.008 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.4040 0.7445 0.000 0.248 0.752 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.6883 0.6698 0.000 0.212 0.596 0.192
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.8491 0.000 1.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.3542 0.8173 0.852 0.000 0.120 0.028
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 3 0.4406 0.7019 0.000 0.300 0.700 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.4290 0.6475 0.000 0.772 0.212 0.016
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.3638 0.8147 0.848 0.000 0.120 0.032
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0469 0.8487 0.000 0.988 0.000 0.012
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.2670 0.8453 0.904 0.000 0.072 0.024
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.4454 0.6930 0.000 0.308 0.692 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.2949 0.8401 0.888 0.000 0.088 0.024
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.3172 0.7486 0.000 0.160 0.840 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.5430 0.4055 0.664 0.000 0.036 0.300
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.2521 0.8495 0.912 0.000 0.064 0.024
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.1706 0.8554 0.948 0.000 0.036 0.016
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.2281 0.7757 0.904 0.000 0.000 0.096
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.3080 0.8426 0.880 0.000 0.096 0.024
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.8491 0.000 1.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0592 0.8476 0.000 0.984 0.000 0.016
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.4399 0.8996 0.224 0.000 0.016 0.760
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0336 0.8495 0.000 0.992 0.000 0.008
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0469 0.8518 0.988 0.000 0.012 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0804 0.8454 0.000 0.980 0.008 0.012
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.4746 0.3564 0.000 0.632 0.368 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.5836 0.4767 0.000 0.188 0.112 0.700
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.2796 0.8466 0.892 0.000 0.092 0.016
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0895 0.8444 0.000 0.976 0.004 0.020
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.8491 0.000 1.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.2730 0.8479 0.896 0.000 0.088 0.016
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.4564 0.4684 0.000 0.672 0.328 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0336 0.8491 0.000 0.992 0.000 0.008
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.6883 0.6698 0.000 0.212 0.596 0.192
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0524 0.8476 0.000 0.988 0.004 0.008
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.2623 0.8479 0.908 0.000 0.064 0.028
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0336 0.8466 0.000 0.992 0.008 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0657 0.8444 0.000 0.984 0.012 0.004
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0592 0.8476 0.000 0.984 0.000 0.016
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.3528 0.7563 0.000 0.192 0.808 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2174 0.8515 0.928 0.000 0.052 0.020
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.4158 0.9044 0.224 0.000 0.008 0.768
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.4353 0.5433 0.000 0.232 0.012 0.756
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.4248 0.9026 0.220 0.000 0.012 0.768
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.4103 0.7404 0.000 0.256 0.744 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0592 0.8517 0.984 0.000 0.016 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.3801 0.9072 0.220 0.000 0.000 0.780
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.1661 0.8245 0.000 0.944 0.052 0.004
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.4004 0.7833 0.812 0.000 0.164 0.024
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0336 0.8488 0.000 0.992 0.000 0.008
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4072 0.6242 0.000 0.748 0.252 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.3638 0.8147 0.848 0.000 0.120 0.032
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.1792 0.8545 0.932 0.000 0.068 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0524 0.8476 0.000 0.988 0.004 0.008
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.3688 0.6833 0.000 0.792 0.208 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.3801 0.9072 0.220 0.000 0.000 0.780
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.6303 0.7085 0.000 0.148 0.660 0.192
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.1022 0.8399 0.000 0.968 0.032 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0524 0.8476 0.000 0.988 0.004 0.008
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.3801 0.9072 0.220 0.000 0.000 0.780
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.6277 0.2983 0.476 0.000 0.468 0.056
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.2473 0.7879 0.000 0.908 0.080 0.012
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.4830 0.0140 0.608 0.000 0.000 0.392
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2909 0.8456 0.888 0.000 0.092 0.020
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0921 0.8416 0.000 0.972 0.028 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.3074 0.7517 0.000 0.848 0.152 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0188 0.8529 0.996 0.000 0.000 0.004
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.3074 0.7450 0.000 0.152 0.848 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1022 0.8549 0.968 0.000 0.032 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0290 0.9110 0.000 0.992 0.000 0.008 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.3810 0.7512 0.036 0.000 0.176 0.788 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 5 0.4574 0.6517 0.000 0.412 0.000 0.012 0.576
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0162 0.6988 0.996 0.000 0.000 0.004 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 5 0.4637 0.5862 0.000 0.452 0.000 0.012 0.536
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.4173 0.7049 0.688 0.000 0.300 0.012 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0162 0.9121 0.000 0.996 0.000 0.000 0.004
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.6621 0.6519 0.000 0.128 0.460 0.020 0.392
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.5853 0.1781 0.000 0.412 0.024 0.516 0.048
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.5753 0.5790 0.584 0.000 0.324 0.008 0.084
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0162 0.6988 0.996 0.000 0.000 0.004 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.1282 0.8833 0.044 0.000 0.004 0.952 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 5 0.4448 0.5405 0.000 0.480 0.000 0.004 0.516
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.6653 0.6450 0.000 0.132 0.456 0.020 0.392
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 5 0.5745 -0.5868 0.000 0.056 0.440 0.012 0.492
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0162 0.6988 0.996 0.000 0.000 0.004 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0566 0.9087 0.000 0.984 0.000 0.004 0.012
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4454 0.6858 0.708 0.000 0.260 0.004 0.028
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0451 0.9097 0.000 0.988 0.000 0.008 0.004
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 5 0.4533 0.5999 0.000 0.448 0.000 0.008 0.544
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0963 0.8829 0.036 0.000 0.000 0.964 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 5 0.4680 0.5467 0.000 0.448 0.004 0.008 0.540
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.4227 0.3779 0.692 0.000 0.016 0.292 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4451 0.2744 0.644 0.000 0.016 0.340 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.4668 0.6779 0.600 0.000 0.384 0.008 0.008
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0324 0.9113 0.000 0.992 0.004 0.000 0.004
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.5912 0.5505 0.480 0.000 0.428 0.004 0.088
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.5351 0.6641 0.560 0.000 0.380 0.060 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.5873 0.5644 0.504 0.000 0.412 0.008 0.076
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 3 0.6040 -0.5913 0.448 0.000 0.460 0.012 0.080
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 5 0.4576 0.5786 0.000 0.456 0.004 0.004 0.536
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.2798 0.7154 0.852 0.000 0.140 0.008 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 5 0.3123 0.7193 0.000 0.184 0.004 0.000 0.812
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.3884 0.3800 0.708 0.000 0.004 0.288 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4482 0.1793 0.612 0.000 0.012 0.376 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0162 0.6988 0.996 0.000 0.000 0.004 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0451 0.9118 0.000 0.988 0.000 0.008 0.004
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0324 0.9113 0.000 0.992 0.004 0.000 0.004
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.6259 0.2734 0.212 0.000 0.248 0.540 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.5048 0.6724 0.580 0.000 0.380 0.040 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.4949 0.6700 0.572 0.000 0.396 0.032 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0324 0.9113 0.000 0.992 0.004 0.000 0.004
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.4446 0.6501 0.000 0.000 0.520 0.004 0.476
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0162 0.9117 0.000 0.996 0.000 0.004 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 5 0.2172 0.3679 0.000 0.016 0.076 0.000 0.908
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.4949 0.6700 0.572 0.000 0.396 0.032 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.4949 0.6700 0.572 0.000 0.396 0.032 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.4450 -0.5006 0.000 0.508 0.000 0.004 0.488
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0162 0.9121 0.000 0.996 0.000 0.000 0.004
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 5 0.3282 0.7250 0.000 0.188 0.000 0.008 0.804
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.4940 0.6715 0.576 0.000 0.392 0.032 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0162 0.6988 0.996 0.000 0.000 0.004 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.4517 -0.0234 0.556 0.000 0.008 0.436 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.4040 0.7094 0.712 0.000 0.276 0.012 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.5935 0.5569 0.496 0.000 0.408 0.004 0.092
#> E19D5463-FDD0-41C1-A170-323736A88D07 5 0.3123 0.7193 0.000 0.184 0.004 0.000 0.812
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.1282 0.8833 0.044 0.000 0.004 0.952 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.1661 0.8744 0.036 0.000 0.024 0.940 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 5 0.2763 0.6874 0.000 0.148 0.004 0.000 0.848
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.4870 0.6659 0.000 0.004 0.532 0.016 0.448
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0162 0.6988 0.996 0.000 0.000 0.004 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.4942 0.6612 0.028 0.000 0.540 0.000 0.432
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 5 0.4464 0.6616 0.000 0.408 0.000 0.008 0.584
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.1549 0.6942 0.944 0.000 0.040 0.016 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0162 0.9121 0.000 0.996 0.000 0.000 0.004
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0324 0.6974 0.992 0.000 0.004 0.004 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.4909 0.6756 0.588 0.000 0.380 0.032 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0771 0.8986 0.000 0.976 0.000 0.004 0.020
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 5 0.4367 0.6999 0.000 0.372 0.000 0.008 0.620
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 5 0.4047 0.7382 0.000 0.320 0.000 0.004 0.676
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 5 0.4425 0.5957 0.000 0.452 0.000 0.004 0.544
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.1205 0.8826 0.040 0.000 0.004 0.956 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0566 0.6992 0.984 0.000 0.012 0.004 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.4096 0.4148 0.000 0.724 0.012 0.004 0.260
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.5401 0.0392 0.492 0.000 0.056 0.452 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0162 0.6988 0.996 0.000 0.000 0.004 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 5 0.2886 0.6858 0.000 0.148 0.008 0.000 0.844
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0486 0.9112 0.000 0.988 0.004 0.004 0.004
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.1365 0.8812 0.040 0.000 0.004 0.952 0.004
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0324 0.9113 0.000 0.992 0.004 0.000 0.004
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.5204 0.6656 0.560 0.000 0.392 0.048 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0324 0.9113 0.000 0.992 0.004 0.000 0.004
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0162 0.9121 0.000 0.996 0.000 0.000 0.004
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 5 0.3402 0.7209 0.000 0.184 0.004 0.008 0.804
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.5753 0.5790 0.584 0.000 0.324 0.008 0.084
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.1408 0.8828 0.044 0.000 0.008 0.948 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.4564 0.1858 0.612 0.000 0.016 0.372 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.2082 0.8627 0.032 0.000 0.024 0.928 0.016
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.5848 0.5672 0.504 0.000 0.408 0.004 0.084
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.4576 0.6831 0.608 0.000 0.376 0.016 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.5449 0.6344 0.600 0.000 0.328 0.004 0.068
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.4937 0.6627 0.028 0.000 0.544 0.000 0.428
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.3855 0.6988 0.748 0.000 0.240 0.004 0.008
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 5 0.2886 0.6858 0.000 0.148 0.008 0.000 0.844
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.3345 0.7697 0.000 0.060 0.024 0.864 0.052
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0451 0.9118 0.000 0.988 0.000 0.008 0.004
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 5 0.4225 0.7121 0.000 0.364 0.000 0.004 0.632
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.5344 -0.0498 0.000 0.488 0.024 0.472 0.016
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0566 0.6992 0.984 0.000 0.012 0.004 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.1124 0.7051 0.960 0.000 0.036 0.004 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.4949 0.6700 0.572 0.000 0.396 0.032 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.5510 0.6162 0.648 0.000 0.208 0.144 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4467 0.2641 0.640 0.000 0.016 0.344 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 5 0.3642 0.7337 0.000 0.232 0.000 0.008 0.760
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0324 0.9113 0.000 0.992 0.004 0.000 0.004
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 5 0.4392 0.6927 0.000 0.380 0.000 0.008 0.612
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0162 0.9117 0.000 0.996 0.000 0.004 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.4538 0.6779 0.636 0.000 0.348 0.004 0.012
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0324 0.7010 0.992 0.000 0.004 0.004 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 5 0.3123 0.7193 0.000 0.184 0.004 0.000 0.812
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0162 0.6988 0.996 0.000 0.000 0.004 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0162 0.9117 0.000 0.996 0.000 0.004 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 5 0.4446 0.6749 0.000 0.400 0.000 0.008 0.592
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.6681 0.3582 0.248 0.000 0.424 0.000 0.328
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0162 0.9117 0.000 0.996 0.000 0.004 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0290 0.9110 0.000 0.992 0.000 0.008 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 5 0.2886 0.6858 0.000 0.148 0.008 0.000 0.844
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.1750 0.8731 0.036 0.000 0.028 0.936 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.1282 0.8833 0.044 0.000 0.004 0.952 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0290 0.9110 0.000 0.992 0.000 0.008 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0162 0.7006 0.996 0.000 0.000 0.004 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.5446 0.6195 0.576 0.000 0.360 0.004 0.060
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0324 0.6979 0.992 0.000 0.004 0.004 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.4940 0.6715 0.576 0.000 0.392 0.032 0.000
#> D005833F-E991-4E9E-9667-55F137288004 4 0.3752 0.7692 0.048 0.000 0.148 0.804 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.1750 0.8731 0.036 0.000 0.028 0.936 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0771 0.7007 0.976 0.000 0.020 0.004 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 5 0.2886 0.6858 0.000 0.148 0.008 0.000 0.844
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.6621 0.6519 0.000 0.128 0.460 0.020 0.392
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0290 0.9108 0.000 0.992 0.000 0.000 0.008
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.5037 0.6483 0.616 0.000 0.336 0.000 0.048
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0324 0.6979 0.992 0.000 0.004 0.004 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0162 0.6988 0.996 0.000 0.000 0.004 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 5 0.3439 0.7233 0.000 0.188 0.004 0.008 0.800
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.5086 0.3796 0.000 0.660 0.036 0.016 0.288
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.5195 0.6444 0.644 0.000 0.296 0.008 0.052
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0290 0.9110 0.000 0.992 0.000 0.008 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.4118 0.6893 0.660 0.000 0.336 0.004 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 5 0.3160 0.7240 0.000 0.188 0.000 0.004 0.808
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.4530 0.6712 0.612 0.000 0.376 0.004 0.008
#> 41183565-434D-474C-B1BD-CA6E94910658 5 0.3148 0.5395 0.000 0.072 0.060 0.004 0.864
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.6792 0.4021 0.380 0.000 0.324 0.296 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.5113 0.6713 0.576 0.000 0.380 0.044 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.3123 0.7154 0.812 0.000 0.184 0.004 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.2625 0.6325 0.876 0.000 0.016 0.108 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.4909 0.6640 0.560 0.000 0.412 0.028 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0671 0.9027 0.000 0.980 0.000 0.004 0.016
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0290 0.9110 0.000 0.992 0.000 0.008 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.3798 0.7720 0.064 0.000 0.128 0.808 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0162 0.9121 0.000 0.996 0.000 0.000 0.004
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.1124 0.6996 0.960 0.000 0.036 0.004 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.1200 0.8935 0.000 0.964 0.012 0.008 0.016
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 5 0.4359 0.6607 0.000 0.412 0.000 0.004 0.584
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.3331 0.7754 0.000 0.044 0.024 0.864 0.068
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.4958 0.6681 0.568 0.000 0.400 0.032 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0486 0.9112 0.000 0.988 0.004 0.004 0.004
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0162 0.9121 0.000 0.996 0.000 0.000 0.004
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.4958 0.6690 0.568 0.000 0.400 0.032 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 5 0.4288 0.6976 0.000 0.384 0.000 0.004 0.612
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0162 0.9117 0.000 0.996 0.000 0.004 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.6621 0.6519 0.000 0.128 0.460 0.020 0.392
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0324 0.9113 0.000 0.992 0.004 0.000 0.004
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.5236 0.6681 0.568 0.000 0.380 0.052 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0579 0.9011 0.000 0.984 0.008 0.000 0.008
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.2006 0.8623 0.000 0.932 0.024 0.020 0.024
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0290 0.9110 0.000 0.992 0.000 0.008 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 5 0.2563 0.6386 0.000 0.120 0.008 0.000 0.872
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.3949 0.6988 0.696 0.000 0.300 0.004 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.1661 0.8744 0.036 0.000 0.024 0.940 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.2537 0.8088 0.000 0.056 0.024 0.904 0.016
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.2165 0.8657 0.036 0.000 0.024 0.924 0.016
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 5 0.3013 0.7040 0.000 0.160 0.000 0.008 0.832
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.1364 0.7005 0.952 0.000 0.036 0.012 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.1357 0.8818 0.048 0.000 0.004 0.948 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.3596 0.5647 0.000 0.776 0.000 0.012 0.212
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.5779 0.5662 0.492 0.000 0.428 0.004 0.076
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0162 0.9121 0.000 0.996 0.000 0.000 0.004
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 5 0.4410 0.6173 0.000 0.440 0.000 0.004 0.556
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.4995 0.6539 0.656 0.000 0.292 0.004 0.048
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.4599 0.6806 0.600 0.000 0.384 0.016 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0324 0.9113 0.000 0.992 0.004 0.000 0.004
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0162 0.6988 0.996 0.000 0.000 0.004 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 5 0.4452 0.5057 0.000 0.496 0.000 0.004 0.500
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.1282 0.8833 0.044 0.000 0.004 0.952 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.6398 0.6409 0.000 0.100 0.464 0.020 0.416
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.2769 0.8267 0.000 0.892 0.024 0.020 0.064
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0324 0.9113 0.000 0.992 0.004 0.000 0.004
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.1205 0.8826 0.040 0.000 0.004 0.956 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0324 0.6979 0.992 0.000 0.004 0.004 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.6706 0.3257 0.488 0.000 0.284 0.008 0.220
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.3098 0.7068 0.000 0.836 0.000 0.016 0.148
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.4101 0.2981 0.664 0.000 0.004 0.332 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.4949 0.6700 0.572 0.000 0.396 0.032 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.2861 0.8145 0.000 0.884 0.024 0.016 0.076
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.5244 -0.1624 0.000 0.568 0.024 0.016 0.392
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0324 0.6979 0.992 0.000 0.004 0.004 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 5 0.3209 0.5094 0.000 0.060 0.076 0.004 0.860
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2771 0.7153 0.860 0.000 0.128 0.012 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.1082 0.9191 0.040 0.956 0.000 0.004 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.4266 0.5354 0.348 0.000 0.000 0.628 0.016 0.008
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 6 0.4613 0.8199 0.100 0.200 0.000 0.004 0.000 0.696
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 5 0.0291 0.6785 0.000 0.000 0.000 0.004 0.992 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 6 0.4745 0.8063 0.100 0.220 0.000 0.004 0.000 0.676
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 5 0.3868 -0.5288 0.492 0.000 0.000 0.000 0.508 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0146 0.9250 0.004 0.996 0.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.3268 0.8443 0.000 0.076 0.824 0.000 0.000 0.100
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.6227 0.4161 0.088 0.256 0.032 0.584 0.000 0.040
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.6762 -0.2682 0.356 0.000 0.148 0.004 0.428 0.064
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 5 0.0146 0.6785 0.000 0.000 0.000 0.004 0.996 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0717 0.8110 0.008 0.000 0.000 0.976 0.016 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 6 0.4632 0.7895 0.064 0.276 0.000 0.004 0.000 0.656
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.3268 0.8443 0.000 0.076 0.824 0.000 0.000 0.100
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.2814 0.8040 0.000 0.008 0.820 0.000 0.000 0.172
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.0653 0.6778 0.012 0.000 0.000 0.004 0.980 0.004
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0858 0.9211 0.028 0.968 0.000 0.000 0.000 0.004
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#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.1218 0.9014 0.004 0.956 0.012 0.000 0.000 0.028
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.4094 0.7920 0.112 0.800 0.032 0.024 0.000 0.032
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.1010 0.9204 0.036 0.960 0.000 0.004 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 6 0.2787 0.7842 0.044 0.072 0.012 0.000 0.000 0.872
#> A716BC29-161F-4CA0-B240-00B330137F2C 5 0.5190 -0.4475 0.392 0.000 0.080 0.004 0.524 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.1820 0.7982 0.056 0.000 0.000 0.924 0.012 0.008
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.3688 0.7210 0.084 0.024 0.032 0.832 0.000 0.028
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.3098 0.7588 0.060 0.000 0.032 0.868 0.012 0.028
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 6 0.3308 0.8188 0.072 0.096 0.000 0.004 0.000 0.828
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 5 0.1204 0.6385 0.056 0.000 0.000 0.000 0.944 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.1049 0.8038 0.008 0.000 0.000 0.960 0.032 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.4753 0.2363 0.052 0.596 0.000 0.004 0.000 0.348
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.6252 0.4933 0.568 0.000 0.116 0.004 0.244 0.068
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0146 0.9250 0.004 0.996 0.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 6 0.3668 0.8335 0.028 0.228 0.000 0.000 0.000 0.744
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 5 0.6603 -0.2704 0.368 0.000 0.128 0.004 0.440 0.060
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.3984 0.6730 0.596 0.000 0.000 0.008 0.396 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0146 0.9250 0.004 0.996 0.000 0.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 5 0.0146 0.6785 0.000 0.000 0.000 0.004 0.996 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 6 0.3653 0.7783 0.008 0.300 0.000 0.000 0.000 0.692
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0603 0.8115 0.004 0.000 0.000 0.980 0.016 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.3211 0.8405 0.000 0.056 0.824 0.000 0.000 0.120
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.5084 0.7019 0.100 0.728 0.032 0.024 0.000 0.116
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0146 0.9250 0.004 0.996 0.000 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0603 0.8115 0.004 0.000 0.000 0.980 0.016 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 5 0.1003 0.6715 0.028 0.000 0.000 0.004 0.964 0.004
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.7206 0.2153 0.388 0.000 0.216 0.004 0.308 0.084
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.4655 0.6077 0.120 0.708 0.000 0.008 0.000 0.164
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.3454 0.5508 0.012 0.000 0.000 0.224 0.760 0.004
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.3965 0.6796 0.604 0.000 0.000 0.008 0.388 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.5022 0.7066 0.080 0.740 0.032 0.036 0.000 0.112
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 6 0.6360 0.4192 0.088 0.356 0.032 0.028 0.000 0.496
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 5 0.1003 0.6715 0.028 0.000 0.000 0.004 0.964 0.004
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.3750 0.7219 0.084 0.032 0.060 0.004 0.000 0.820
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 5 0.3429 0.2634 0.252 0.000 0.004 0.000 0.740 0.004
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "skmeans"]
# you can also extract it by
# res = res_list["SD:skmeans"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.999 1.000 0.5022 0.498 0.498
#> 3 3 0.722 0.764 0.833 0.2540 0.857 0.717
#> 4 4 0.838 0.875 0.942 0.1420 0.887 0.703
#> 5 5 0.779 0.629 0.756 0.0765 0.890 0.636
#> 6 6 0.857 0.792 0.895 0.0528 0.897 0.590
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 1.000 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.999 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 1.000 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.999 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 1.000 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.999 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 1.000 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0000 1.000 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 1.000 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.999 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.999 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 0.999 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 1.000 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0000 1.000 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.0000 1.000 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.999 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 1.000 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.999 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 1.000 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 1.000 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0000 0.999 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.0000 1.000 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.999 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.999 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.999 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 1.000 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.0000 0.999 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.999 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0000 0.999 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0000 0.999 1.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 1.000 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.999 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 1.000 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.999 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.999 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.999 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 1.000 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 1.000 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.999 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.999 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.999 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 1.000 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.0376 0.996 0.004 0.996
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 1.000 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.0000 1.000 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.999 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.999 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 1.000 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 1.000 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 1.000 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.999 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.999 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.999 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.999 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0000 0.999 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 1.000 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.999 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0000 0.999 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 1.000 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.0000 1.000 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.999 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.0000 0.999 1.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 1.000 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.999 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 1.000 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.999 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.999 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 1.000 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 1.000 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 1.000 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 1.000 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0000 0.999 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.999 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 1.000 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.999 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.999 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 1.000 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 1.000 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.0000 0.999 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 1.000 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 0.999 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 1.000 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 1.000 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0000 1.000 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.999 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 0.999 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.999 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.3733 0.922 0.928 0.072
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 0.999 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.999 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0000 0.999 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.0000 0.999 1.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.999 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 1.000 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.0000 1.000 0.000 1.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 1.000 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 1.000 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 1.000 0.000 1.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.999 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.999 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.999 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.999 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.999 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 1.000 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 1.000 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 1.000 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 1.000 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.999 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.999 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 1.000 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.999 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 1.000 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 1.000 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.0000 0.999 1.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 1.000 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 1.000 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 1.000 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0000 0.999 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0000 0.999 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 1.000 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.999 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.0000 0.999 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.999 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.999 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.999 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0000 0.999 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.999 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 1.000 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.0000 1.000 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 1.000 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.999 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.999 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.999 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 1.000 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 1.000 0.000 1.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.999 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 1.000 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.999 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 1.000 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.999 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 1.000 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.999 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.999 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.999 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.999 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.999 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 1.000 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 1.000 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.999 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 1.000 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.999 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 1.000 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 1.000 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.0000 1.000 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.999 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 1.000 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 1.000 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.999 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 1.000 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 1.000 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.0000 1.000 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 1.000 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.999 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 1.000 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 1.000 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 1.000 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.0000 1.000 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.999 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 0.999 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.0000 1.000 0.000 1.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.0000 0.999 1.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 1.000 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.999 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.999 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 1.000 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.999 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 1.000 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 1.000 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.999 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.999 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 1.000 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.999 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 1.000 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 0.999 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.0000 1.000 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 1.000 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 1.000 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 0.999 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.999 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.0000 0.999 1.000 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 1.000 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.999 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.999 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 1.000 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 1.000 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.999 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 1.000 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.999 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.85956 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 3 0.6252 0.80528 0.444 0.000 0.556
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.85956 0.000 1.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.88742 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.85956 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.88742 1.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.85956 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.6168 0.68010 0.000 0.588 0.412
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.6295 0.00093 0.000 0.528 0.472
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.88742 1.000 0.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.88742 1.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 3 0.6252 0.80528 0.444 0.000 0.556
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.85956 0.000 1.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.6140 0.68429 0.000 0.596 0.404
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.6225 0.66909 0.000 0.568 0.432
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.88742 1.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.85956 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.88742 1.000 0.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.85956 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.85956 0.000 1.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 3 0.6252 0.80528 0.444 0.000 0.556
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.4504 0.78533 0.000 0.804 0.196
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 3 0.6260 0.79932 0.448 0.000 0.552
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 3 0.6260 0.79932 0.448 0.000 0.552
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.88742 1.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.85956 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.5058 0.57156 0.756 0.000 0.244
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 3 0.6274 0.78331 0.456 0.000 0.544
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.1529 0.84072 0.960 0.000 0.040
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0000 0.88742 1.000 0.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4346 0.79056 0.000 0.816 0.184
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.88742 1.000 0.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.6252 0.66188 0.000 0.556 0.444
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 3 0.6260 0.79932 0.448 0.000 0.552
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 3 0.6252 0.80528 0.444 0.000 0.556
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.88742 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.85956 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.85956 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 3 0.6252 0.80528 0.444 0.000 0.556
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.88742 1.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.88742 1.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.85956 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.9514 -0.40912 0.192 0.364 0.444
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.85956 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.6252 0.66188 0.000 0.556 0.444
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.88742 1.000 0.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.88742 1.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.1964 0.84075 0.000 0.944 0.056
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.85956 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.6252 0.66188 0.000 0.556 0.444
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.88742 1.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.88742 1.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 3 0.6252 0.80528 0.444 0.000 0.556
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.88742 1.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.5138 0.56085 0.748 0.000 0.252
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.6252 0.66188 0.000 0.556 0.444
#> CE4B6285-4961-4767-91F0-5C7A8162E185 3 0.6252 0.80528 0.444 0.000 0.556
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 3 0.6252 0.80528 0.444 0.000 0.556
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.6252 0.66188 0.000 0.556 0.444
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.6252 0.66188 0.000 0.556 0.444
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.88742 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.6252 0.31893 0.556 0.000 0.444
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.85956 0.000 1.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.1289 0.84390 0.968 0.000 0.032
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.85956 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.88742 1.000 0.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.88742 1.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.85956 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.1753 0.84404 0.000 0.952 0.048
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.5591 0.73419 0.000 0.696 0.304
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.85956 0.000 1.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 3 0.6252 0.80528 0.444 0.000 0.556
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.88742 1.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.85956 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 3 0.6252 0.80528 0.444 0.000 0.556
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.88742 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.6252 0.66188 0.000 0.556 0.444
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.85956 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 3 0.6252 0.80528 0.444 0.000 0.556
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.85956 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.4452 0.49990 0.808 0.000 0.192
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.85956 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.85956 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.6252 0.66188 0.000 0.556 0.444
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0237 0.88306 0.996 0.000 0.004
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 3 0.6252 0.80528 0.444 0.000 0.556
#> 83B88608-0506-428C-B9E8-621F38477B42 3 0.6252 0.80528 0.444 0.000 0.556
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.6617 0.22766 0.008 0.436 0.556
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.5138 0.56085 0.748 0.000 0.252
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.88742 1.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.3816 0.70168 0.852 0.000 0.148
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.6252 0.31893 0.556 0.000 0.444
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.88742 1.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.6252 0.66188 0.000 0.556 0.444
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.6252 0.20823 0.000 0.444 0.556
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.85956 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.4291 0.79241 0.000 0.820 0.180
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 3 0.6252 0.20823 0.000 0.444 0.556
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.88742 1.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.88742 1.000 0.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.88742 1.000 0.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.6295 -0.62587 0.528 0.000 0.472
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 3 0.6252 0.80528 0.444 0.000 0.556
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.6244 0.66446 0.000 0.560 0.440
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.85956 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0237 0.85826 0.000 0.996 0.004
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.85956 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.88742 1.000 0.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.88742 1.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.6252 0.66188 0.000 0.556 0.444
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.88742 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.85956 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.85956 0.000 1.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.6252 0.31893 0.556 0.000 0.444
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.85956 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.85956 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.6252 0.66188 0.000 0.556 0.444
#> 8EA83042-D598-401D-AD78-936EEB136C59 3 0.6252 0.80528 0.444 0.000 0.556
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 3 0.6252 0.80528 0.444 0.000 0.556
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.85956 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.88742 1.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.3482 0.72614 0.872 0.000 0.128
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.88742 1.000 0.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.88742 1.000 0.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 3 0.6252 0.80528 0.444 0.000 0.556
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 3 0.6252 0.80528 0.444 0.000 0.556
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.88742 1.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.6252 0.66188 0.000 0.556 0.444
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.6168 0.68010 0.000 0.588 0.412
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.85956 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.88742 1.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.88742 1.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.88742 1.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.6252 0.66188 0.000 0.556 0.444
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.85956 0.000 1.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.88742 1.000 0.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.85956 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.88742 1.000 0.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.6252 0.66188 0.000 0.556 0.444
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.88742 1.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.6252 0.66188 0.000 0.556 0.444
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.6305 -0.65618 0.516 0.000 0.484
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0592 0.87191 0.988 0.000 0.012
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.88742 1.000 0.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.5905 -0.19986 0.648 0.000 0.352
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.88742 1.000 0.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.85956 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.85956 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 3 0.6252 0.80528 0.444 0.000 0.556
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.85956 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.88742 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.85956 0.000 1.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.4235 0.79392 0.000 0.824 0.176
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.6252 0.20823 0.000 0.444 0.556
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.88742 1.000 0.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.85956 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.85956 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.88742 1.000 0.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.2959 0.82435 0.000 0.900 0.100
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.85956 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.6215 0.67136 0.000 0.572 0.428
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.85956 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.3941 0.59855 0.844 0.000 0.156
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.85956 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.85956 0.000 1.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.85956 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.6252 0.66188 0.000 0.556 0.444
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.88742 1.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 3 0.6252 0.80528 0.444 0.000 0.556
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.6252 0.20823 0.000 0.444 0.556
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.6252 0.80528 0.444 0.000 0.556
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.6252 0.66188 0.000 0.556 0.444
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.88742 1.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 3 0.6252 0.80528 0.444 0.000 0.556
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.85956 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.3941 0.69087 0.844 0.000 0.156
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.85956 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.85956 0.000 1.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.88742 1.000 0.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.88742 1.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.85956 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.88742 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.85956 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 3 0.6252 0.80528 0.444 0.000 0.556
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.6225 0.66909 0.000 0.568 0.432
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.85956 0.000 1.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.85956 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 3 0.6252 0.80528 0.444 0.000 0.556
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.88742 1.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.6180 0.35015 0.584 0.000 0.416
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.85956 0.000 1.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 3 0.6260 0.79932 0.448 0.000 0.552
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.88742 1.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.85956 0.000 1.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.85956 0.000 1.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.88742 1.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.6252 0.66188 0.000 0.556 0.444
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.88742 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0817 0.9229 0.000 0.976 0.024 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0707 0.9249 0.000 0.980 0.020 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.1637 0.8578 0.000 0.060 0.940 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4477 0.5374 0.000 0.688 0.000 0.312
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.2814 0.8593 0.868 0.000 0.132 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0817 0.9225 0.000 0.976 0.024 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.1637 0.8578 0.000 0.060 0.940 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0469 0.8627 0.000 0.012 0.988 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0188 0.9674 0.996 0.000 0.004 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0707 0.9249 0.000 0.980 0.020 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.4994 0.1846 0.000 0.480 0.520 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 4 0.4746 0.4783 0.368 0.000 0.000 0.632
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 4 0.3610 0.7640 0.200 0.000 0.000 0.800
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0188 0.9674 0.996 0.000 0.004 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.0336 0.9663 0.992 0.000 0.008 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.4950 0.3839 0.620 0.000 0.004 0.376
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.2814 0.8593 0.868 0.000 0.132 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.3052 0.8536 0.860 0.000 0.136 0.004
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4925 0.1486 0.000 0.572 0.428 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0817 0.9528 0.976 0.000 0.000 0.024
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.2868 0.8851 0.000 0.136 0.864 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 4 0.4605 0.5501 0.336 0.000 0.000 0.664
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 4 0.2868 0.8257 0.136 0.000 0.000 0.864
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.2530 0.8393 0.112 0.000 0.000 0.888
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0376 0.9668 0.992 0.000 0.004 0.004
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0376 0.9668 0.992 0.000 0.004 0.004
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0000 0.8559 0.000 0.000 1.000 0.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.0000 0.8559 0.000 0.000 1.000 0.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0376 0.9668 0.992 0.000 0.004 0.004
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0376 0.9668 0.992 0.000 0.004 0.004
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.3528 0.7185 0.000 0.808 0.192 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 3 0.2814 0.8879 0.000 0.132 0.868 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0376 0.9668 0.992 0.000 0.004 0.004
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.1474 0.8780 0.052 0.000 0.000 0.948
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0336 0.9663 0.992 0.000 0.008 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.2868 0.8851 0.000 0.136 0.864 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.2868 0.8851 0.000 0.136 0.864 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0188 0.8586 0.000 0.004 0.996 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.8559 0.000 0.000 1.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.1637 0.8930 0.000 0.940 0.060 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.1389 0.9327 0.952 0.000 0.000 0.048
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.1118 0.9431 0.964 0.000 0.000 0.036
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0376 0.9668 0.992 0.000 0.004 0.004
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.3726 0.7035 0.000 0.788 0.212 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.4994 -0.0244 0.000 0.520 0.480 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.1022 0.9169 0.000 0.968 0.032 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.3024 0.8153 0.148 0.000 0.000 0.852
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.2814 0.8879 0.000 0.132 0.868 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.1978 0.9142 0.928 0.000 0.004 0.068
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.2814 0.8879 0.000 0.132 0.868 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.2814 0.8593 0.868 0.000 0.132 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> 83B88608-0506-428C-B9E8-621F38477B42 4 0.3172 0.8063 0.160 0.000 0.000 0.840
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0336 0.9663 0.992 0.000 0.008 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0188 0.9674 0.996 0.000 0.004 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.8559 0.000 0.000 1.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0188 0.9674 0.996 0.000 0.004 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.2814 0.8879 0.000 0.132 0.868 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.2011 0.8353 0.000 0.080 0.000 0.920
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.4961 0.1097 0.000 0.552 0.448 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 4 0.4994 0.1133 0.000 0.480 0.000 0.520
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0707 0.9558 0.980 0.000 0.000 0.020
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0376 0.9668 0.992 0.000 0.004 0.004
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.3123 0.8112 0.844 0.000 0.000 0.156
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 4 0.3219 0.8025 0.164 0.000 0.000 0.836
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 3 0.3266 0.8533 0.000 0.168 0.832 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.2469 0.8431 0.000 0.892 0.108 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0188 0.9674 0.996 0.000 0.004 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.2814 0.8879 0.000 0.132 0.868 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.1557 0.8968 0.000 0.944 0.056 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.2469 0.7698 0.108 0.000 0.892 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.2814 0.8879 0.000 0.132 0.868 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.0336 0.9665 0.992 0.000 0.008 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0592 0.9584 0.984 0.000 0.000 0.016
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0376 0.9668 0.992 0.000 0.004 0.004
#> D005833F-E991-4E9E-9667-55F137288004 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.2814 0.8879 0.000 0.132 0.868 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.1637 0.8578 0.000 0.060 0.940 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0188 0.9674 0.996 0.000 0.004 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 3 0.2814 0.8879 0.000 0.132 0.868 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.3610 0.7297 0.000 0.800 0.200 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0336 0.9665 0.992 0.000 0.008 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0188 0.9674 0.996 0.000 0.004 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.2921 0.8814 0.000 0.140 0.860 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0188 0.9674 0.996 0.000 0.004 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.1557 0.8783 0.000 0.056 0.944 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.4925 0.2346 0.572 0.000 0.000 0.428
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0376 0.9668 0.992 0.000 0.004 0.004
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0188 0.9674 0.996 0.000 0.004 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.2281 0.8840 0.904 0.000 0.000 0.096
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0376 0.9668 0.992 0.000 0.004 0.004
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0817 0.9528 0.976 0.000 0.000 0.024
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.4925 0.1745 0.000 0.572 0.428 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.1302 0.8687 0.000 0.044 0.000 0.956
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0376 0.9668 0.992 0.000 0.004 0.004
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0376 0.9668 0.992 0.000 0.004 0.004
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.4564 0.4496 0.000 0.672 0.328 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.1557 0.8583 0.000 0.056 0.944 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.3157 0.8280 0.852 0.000 0.004 0.144
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.2814 0.8879 0.000 0.132 0.868 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0188 0.9674 0.996 0.000 0.004 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.1118 0.8754 0.000 0.036 0.000 0.964
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.2814 0.8879 0.000 0.132 0.868 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0336 0.9663 0.992 0.000 0.008 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.1389 0.9042 0.000 0.952 0.048 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0657 0.9620 0.984 0.000 0.004 0.012
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0188 0.9674 0.996 0.000 0.004 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0592 0.9279 0.000 0.984 0.016 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0336 0.8603 0.000 0.008 0.992 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.9012 0.000 0.000 0.000 1.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.4790 0.2816 0.380 0.000 0.620 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 4 0.3172 0.8064 0.160 0.000 0.000 0.840
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0376 0.9668 0.992 0.000 0.004 0.004
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.9373 0.000 1.000 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0469 0.9297 0.000 0.988 0.012 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.9676 1.000 0.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.0469 0.8636 0.000 0.012 0.988 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.9676 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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.86203 0.000 1.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.2127 0.82807 0.000 0.000 0.000 0.892 0.108
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.4713 0.37280 0.000 0.544 0.016 0.000 0.440
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.67286 1.000 0.000 0.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.4402 0.51557 0.000 0.636 0.012 0.000 0.352
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 5 0.4306 0.68647 0.492 0.000 0.000 0.000 0.508
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.86203 0.000 1.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.1410 0.64176 0.000 0.060 0.940 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.4425 0.36849 0.000 0.392 0.000 0.600 0.008
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.6568 0.06358 0.472 0.000 0.276 0.000 0.252
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.67286 1.000 0.000 0.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.89875 0.000 0.000 0.000 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.4235 0.54593 0.000 0.656 0.008 0.000 0.336
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.1478 0.64267 0.000 0.064 0.936 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.2612 0.69903 0.000 0.008 0.868 0.000 0.124
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.67286 1.000 0.000 0.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.86203 0.000 1.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4613 -0.29911 0.620 0.000 0.020 0.000 0.360
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.86203 0.000 1.000 0.000 0.000 0.000
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#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 5 0.4957 0.71714 0.444 0.000 0.028 0.000 0.528
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.86203 0.000 1.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4953 0.34790 0.000 0.532 0.028 0.000 0.440
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.5087 -0.15057 0.636 0.000 0.028 0.016 0.320
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 5 0.4287 0.73785 0.460 0.000 0.000 0.000 0.540
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.86203 0.000 1.000 0.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.67286 1.000 0.000 0.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.4147 0.57699 0.000 0.676 0.008 0.000 0.316
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.89875 0.000 0.000 0.000 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.1041 0.65452 0.000 0.032 0.964 0.000 0.004
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0579 0.85149 0.000 0.984 0.000 0.008 0.008
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.86203 0.000 1.000 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.89875 0.000 0.000 0.000 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.67286 1.000 0.000 0.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.4822 0.29290 0.220 0.000 0.704 0.000 0.076
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0290 0.85772 0.000 0.992 0.000 0.000 0.008
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.4219 0.20006 0.584 0.000 0.000 0.416 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 5 0.4430 0.74124 0.456 0.000 0.000 0.004 0.540
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0579 0.85149 0.000 0.984 0.000 0.008 0.008
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.3203 0.76437 0.000 0.848 0.020 0.008 0.124
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.67286 1.000 0.000 0.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.4627 0.78000 0.000 0.012 0.544 0.000 0.444
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2561 0.47925 0.856 0.000 0.000 0.000 0.144
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.3861 0.495 0.352 0.000 0.000 0.640 0.008 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 6 0.3175 0.655 0.000 0.256 0.000 0.000 0.000 0.744
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 5 0.1075 0.914 0.048 0.000 0.000 0.000 0.952 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 6 0.3765 0.395 0.000 0.404 0.000 0.000 0.000 0.596
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.1714 0.786 0.908 0.000 0.000 0.000 0.092 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.3520 0.756 0.000 0.096 0.804 0.000 0.000 0.100
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.3290 0.718 0.000 0.132 0.004 0.820 0.044 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 3 0.5808 0.253 0.204 0.000 0.480 0.000 0.316 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 5 0.1141 0.914 0.052 0.000 0.000 0.000 0.948 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0260 0.888 0.000 0.000 0.000 0.992 0.008 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 6 0.3515 0.597 0.000 0.324 0.000 0.000 0.000 0.676
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.3567 0.753 0.000 0.100 0.800 0.000 0.000 0.100
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.3710 0.569 0.000 0.012 0.696 0.000 0.000 0.292
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.1075 0.914 0.048 0.000 0.000 0.000 0.952 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.5319 0.537 0.596 0.000 0.184 0.000 0.220 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 6 0.3390 0.629 0.000 0.296 0.000 0.000 0.000 0.704
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0260 0.888 0.000 0.000 0.000 0.992 0.008 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.5409 0.144 0.000 0.524 0.348 0.000 0.000 0.128
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.1444 0.872 0.000 0.000 0.000 0.072 0.928 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 5 0.1444 0.872 0.000 0.000 0.000 0.072 0.928 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0725 0.815 0.976 0.000 0.012 0.000 0.012 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.3253 0.722 0.788 0.000 0.192 0.000 0.020 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.1594 0.784 0.932 0.000 0.000 0.052 0.016 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4224 0.546 0.632 0.000 0.340 0.000 0.028 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.3101 0.632 0.756 0.000 0.244 0.000 0.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4312 0.319 0.000 0.604 0.028 0.000 0.000 0.368
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 5 0.3747 0.408 0.396 0.000 0.000 0.000 0.604 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.0000 0.863 0.000 0.000 0.000 0.000 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 5 0.1204 0.881 0.000 0.000 0.000 0.056 0.944 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 5 0.1556 0.866 0.000 0.000 0.000 0.080 0.920 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 5 0.1141 0.914 0.052 0.000 0.000 0.000 0.948 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.4064 0.319 0.624 0.000 0.000 0.360 0.016 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0547 0.817 0.980 0.000 0.000 0.000 0.020 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0547 0.817 0.980 0.000 0.000 0.000 0.020 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.2053 0.765 0.004 0.000 0.888 0.000 0.000 0.108
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 6 0.0146 0.862 0.000 0.000 0.004 0.000 0.000 0.996
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0547 0.817 0.980 0.000 0.000 0.000 0.020 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0547 0.817 0.980 0.000 0.000 0.000 0.020 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.3789 0.197 0.000 0.584 0.000 0.000 0.000 0.416
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 6 0.0000 0.863 0.000 0.000 0.000 0.000 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0458 0.817 0.984 0.000 0.000 0.000 0.016 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 5 0.1141 0.914 0.052 0.000 0.000 0.000 0.948 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 5 0.1501 0.870 0.000 0.000 0.000 0.076 0.924 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.2048 0.777 0.880 0.000 0.000 0.000 0.120 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.3682 0.707 0.764 0.000 0.200 0.000 0.032 0.004
#> E19D5463-FDD0-41C1-A170-323736A88D07 6 0.0000 0.863 0.000 0.000 0.000 0.000 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0260 0.888 0.000 0.000 0.000 0.992 0.008 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0520 0.886 0.008 0.000 0.000 0.984 0.008 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 6 0.0000 0.863 0.000 0.000 0.000 0.000 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.1814 0.768 0.000 0.000 0.900 0.000 0.000 0.100
#> 54501315-7132-44B2-A179-10FBF1421105 5 0.1075 0.914 0.048 0.000 0.000 0.000 0.952 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0909 0.754 0.020 0.000 0.968 0.000 0.000 0.012
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 6 0.1444 0.841 0.000 0.072 0.000 0.000 0.000 0.928
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 5 0.1500 0.902 0.052 0.000 0.000 0.012 0.936 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 5 0.1075 0.914 0.048 0.000 0.000 0.000 0.952 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0547 0.817 0.980 0.000 0.000 0.000 0.020 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 6 0.1075 0.851 0.000 0.048 0.000 0.000 0.000 0.952
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 6 0.2135 0.794 0.000 0.128 0.000 0.000 0.000 0.872
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 6 0.2340 0.789 0.000 0.148 0.000 0.000 0.000 0.852
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0260 0.888 0.000 0.000 0.000 0.992 0.008 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 5 0.1141 0.914 0.052 0.000 0.000 0.000 0.948 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.1152 0.909 0.000 0.952 0.000 0.004 0.044 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 5 0.4372 0.246 0.024 0.000 0.000 0.432 0.544 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 5 0.1141 0.914 0.052 0.000 0.000 0.000 0.948 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 6 0.0000 0.863 0.000 0.000 0.000 0.000 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0146 0.887 0.000 0.000 0.000 0.996 0.004 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.1461 0.788 0.940 0.000 0.000 0.044 0.016 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 6 0.0000 0.863 0.000 0.000 0.000 0.000 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 3 0.5879 0.207 0.240 0.000 0.476 0.000 0.284 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0260 0.888 0.000 0.000 0.000 0.992 0.008 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 5 0.1501 0.870 0.000 0.000 0.000 0.076 0.924 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.1152 0.864 0.000 0.000 0.004 0.952 0.044 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.3791 0.704 0.760 0.000 0.200 0.000 0.032 0.008
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0547 0.817 0.980 0.000 0.000 0.000 0.020 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.5237 0.562 0.608 0.000 0.172 0.000 0.220 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0692 0.753 0.020 0.000 0.976 0.000 0.000 0.004
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.5634 0.352 0.492 0.000 0.160 0.000 0.348 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 6 0.0000 0.863 0.000 0.000 0.000 0.000 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.1152 0.864 0.000 0.000 0.004 0.952 0.044 0.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 6 0.0713 0.858 0.000 0.028 0.000 0.000 0.000 0.972
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 4 0.4766 0.282 0.000 0.400 0.004 0.552 0.044 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 5 0.1141 0.914 0.052 0.000 0.000 0.000 0.948 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 5 0.1444 0.902 0.072 0.000 0.000 0.000 0.928 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0547 0.817 0.980 0.000 0.000 0.000 0.020 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.4552 0.332 0.592 0.000 0.000 0.044 0.364 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 5 0.1501 0.870 0.000 0.000 0.000 0.076 0.924 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 6 0.0363 0.862 0.000 0.012 0.000 0.000 0.000 0.988
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 6 0.1957 0.813 0.000 0.112 0.000 0.000 0.000 0.888
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.3083 0.758 0.828 0.000 0.132 0.000 0.040 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 5 0.1327 0.909 0.064 0.000 0.000 0.000 0.936 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 6 0.0000 0.863 0.000 0.000 0.000 0.000 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 5 0.1141 0.914 0.052 0.000 0.000 0.000 0.948 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 6 0.1444 0.841 0.000 0.072 0.000 0.000 0.000 0.928
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.1957 0.732 0.048 0.000 0.920 0.000 0.024 0.008
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 6 0.0000 0.863 0.000 0.000 0.000 0.000 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0520 0.886 0.008 0.000 0.000 0.984 0.008 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0260 0.888 0.000 0.000 0.000 0.992 0.008 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 5 0.1444 0.904 0.072 0.000 0.000 0.000 0.928 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.3558 0.539 0.212 0.000 0.760 0.000 0.028 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 5 0.1075 0.914 0.048 0.000 0.000 0.000 0.952 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0458 0.817 0.984 0.000 0.000 0.000 0.016 0.000
#> D005833F-E991-4E9E-9667-55F137288004 4 0.3965 0.419 0.388 0.000 0.000 0.604 0.008 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0520 0.886 0.008 0.000 0.000 0.984 0.008 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 5 0.1327 0.909 0.064 0.000 0.000 0.000 0.936 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 6 0.0000 0.863 0.000 0.000 0.000 0.000 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.3472 0.759 0.000 0.092 0.808 0.000 0.000 0.100
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.4503 0.659 0.700 0.000 0.192 0.000 0.108 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 5 0.1075 0.914 0.048 0.000 0.000 0.000 0.952 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 5 0.1075 0.914 0.048 0.000 0.000 0.000 0.952 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 6 0.0000 0.863 0.000 0.000 0.000 0.000 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.3381 0.729 0.000 0.800 0.156 0.000 0.000 0.044
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.5899 0.321 0.472 0.000 0.252 0.000 0.276 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.2979 0.766 0.840 0.000 0.116 0.000 0.044 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 6 0.0000 0.863 0.000 0.000 0.000 0.000 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.2790 0.764 0.844 0.000 0.132 0.000 0.024 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 6 0.0363 0.859 0.000 0.000 0.012 0.000 0.000 0.988
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.2147 0.762 0.896 0.000 0.000 0.084 0.020 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.1088 0.808 0.960 0.000 0.000 0.016 0.024 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 5 0.4747 0.301 0.356 0.000 0.060 0.000 0.584 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 5 0.1082 0.889 0.004 0.000 0.000 0.040 0.956 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0363 0.816 0.988 0.000 0.000 0.000 0.012 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.3967 0.478 0.356 0.000 0.000 0.632 0.012 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 5 0.1556 0.902 0.080 0.000 0.000 0.000 0.920 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0405 0.936 0.000 0.988 0.000 0.004 0.008 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 6 0.3050 0.682 0.000 0.236 0.000 0.000 0.000 0.764
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.1152 0.864 0.000 0.000 0.004 0.952 0.044 0.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0458 0.817 0.984 0.000 0.000 0.000 0.016 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0458 0.817 0.984 0.000 0.000 0.000 0.016 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 6 0.3695 0.466 0.000 0.376 0.000 0.000 0.000 0.624
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.3472 0.759 0.000 0.092 0.808 0.000 0.000 0.100
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.1492 0.795 0.940 0.000 0.000 0.036 0.024 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.1410 0.903 0.000 0.944 0.004 0.008 0.044 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 6 0.0146 0.862 0.000 0.000 0.004 0.000 0.000 0.996
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.4466 0.683 0.708 0.000 0.116 0.000 0.176 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0405 0.887 0.004 0.000 0.000 0.988 0.008 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.1152 0.864 0.000 0.000 0.004 0.952 0.044 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.1152 0.864 0.000 0.000 0.004 0.952 0.044 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 6 0.0000 0.863 0.000 0.000 0.000 0.000 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 5 0.1765 0.890 0.096 0.000 0.000 0.000 0.904 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.0458 0.883 0.000 0.000 0.000 0.984 0.016 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.3151 0.623 0.000 0.748 0.000 0.000 0.000 0.252
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.3046 0.730 0.800 0.000 0.188 0.000 0.012 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 6 0.1765 0.828 0.000 0.096 0.000 0.000 0.000 0.904
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.5944 0.389 0.500 0.000 0.196 0.008 0.296 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0547 0.817 0.980 0.000 0.000 0.000 0.020 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 5 0.1141 0.914 0.052 0.000 0.000 0.000 0.948 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 6 0.3774 0.390 0.000 0.408 0.000 0.000 0.000 0.592
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0260 0.888 0.000 0.000 0.000 0.992 0.008 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.3514 0.757 0.000 0.088 0.804 0.000 0.000 0.108
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.1410 0.903 0.000 0.944 0.004 0.008 0.044 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.944 0.000 1.000 0.000 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0260 0.888 0.000 0.000 0.000 0.992 0.008 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 5 0.1141 0.914 0.052 0.000 0.000 0.000 0.948 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.2993 0.696 0.028 0.000 0.844 0.000 0.120 0.008
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0363 0.934 0.000 0.988 0.000 0.000 0.000 0.012
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.1501 0.870 0.000 0.000 0.000 0.076 0.924 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0363 0.816 0.988 0.000 0.000 0.000 0.012 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.1410 0.903 0.000 0.944 0.004 0.008 0.044 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.4932 0.262 0.000 0.576 0.004 0.008 0.044 0.368
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 5 0.1141 0.914 0.052 0.000 0.000 0.000 0.948 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.0458 0.856 0.000 0.000 0.016 0.000 0.000 0.984
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 5 0.3823 0.288 0.436 0.000 0.000 0.000 0.564 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "pam"]
# you can also extract it by
# res = res_list["SD:pam"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 18133 rows and 198 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 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 0.983 0.993 0.5025 0.498 0.498
#> 3 3 0.868 0.849 0.941 0.2439 0.865 0.733
#> 4 4 0.863 0.823 0.920 0.0775 0.875 0.699
#> 5 5 0.930 0.889 0.955 0.0817 0.908 0.735
#> 6 6 0.860 0.848 0.925 0.0687 0.941 0.789
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.997 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.988 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.997 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.988 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.997 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.988 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.997 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0000 0.997 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 0.997 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.988 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.988 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 0.988 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.997 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0000 0.997 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.0000 0.997 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.988 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.997 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.988 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.997 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.997 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0000 0.988 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.0000 0.997 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.988 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.988 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.988 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.997 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.0000 0.988 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.988 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0000 0.988 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.4161 0.903 0.916 0.084
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.997 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.988 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.997 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.988 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.988 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.988 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.997 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.997 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.988 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.988 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.988 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.997 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.7528 0.719 0.216 0.784
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.997 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.0000 0.997 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.988 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.988 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.997 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.997 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.997 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.988 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.988 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.988 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.988 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0000 0.988 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.997 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.988 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0000 0.988 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 0.997 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.1633 0.973 0.024 0.976
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.988 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.8555 0.619 0.720 0.280
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.997 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.988 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.997 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.988 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.988 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.997 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.997 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.997 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.997 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0000 0.988 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.988 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.997 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.988 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.988 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.997 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.997 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.0000 0.988 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.997 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 0.988 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.997 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.997 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0000 0.997 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.988 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 0.988 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.988 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.9608 0.385 0.616 0.384
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 0.988 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.988 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0000 0.988 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.7950 0.689 0.760 0.240
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.988 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 0.997 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.0000 0.997 0.000 1.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.997 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.997 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 0.997 0.000 1.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.988 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.988 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.988 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.988 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.988 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.997 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.997 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.997 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.997 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.988 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.988 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.997 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.988 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.997 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.997 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.0000 0.988 1.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.997 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.997 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.997 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0000 0.988 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0000 0.988 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.997 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.988 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.0000 0.988 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.988 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.988 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.988 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0000 0.988 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.988 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 0.997 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.0000 0.997 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.997 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.988 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.988 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.988 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.997 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.997 0.000 1.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.988 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.997 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.988 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.997 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.988 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 0.997 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.988 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.988 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.988 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.988 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.988 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.997 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.997 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.988 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.997 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.988 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.997 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.997 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.0000 0.997 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.988 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.997 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.997 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.988 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.997 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.997 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.0000 0.997 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.997 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.988 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.997 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.997 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.997 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.0000 0.997 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.988 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 0.988 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.0000 0.997 0.000 1.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.0672 0.981 0.992 0.008
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.997 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.988 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.988 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.997 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.988 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.997 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.997 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.988 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.988 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.997 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.988 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.997 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 0.988 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.0000 0.997 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.997 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.997 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 0.988 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.988 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.7056 0.764 0.808 0.192
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.997 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.988 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.988 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.997 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.997 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.988 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.997 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9965 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 3 0.0000 0.8149 0.000 0.000 1.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9965 0.000 1.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.8889 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9965 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.6095 0.1971 0.608 0.000 0.392
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9965 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0000 0.9965 0.000 1.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.2959 0.8856 0.000 0.900 0.100
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0424 0.8876 0.992 0.000 0.008
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.8889 1.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 3 0.0424 0.8159 0.008 0.000 0.992
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.9965 0.000 1.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0000 0.9965 0.000 1.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.0000 0.9965 0.000 1.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.8889 1.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9965 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.8889 1.000 0.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9965 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.9965 0.000 1.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 3 0.0424 0.8159 0.008 0.000 0.992
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.0000 0.9965 0.000 1.000 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.2448 0.8279 0.924 0.000 0.076
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.6307 0.0878 0.512 0.000 0.488
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0424 0.8876 0.992 0.000 0.008
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9965 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.0424 0.8876 0.992 0.000 0.008
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 3 0.6305 0.2071 0.484 0.000 0.516
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0000 0.8889 1.000 0.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0747 0.8832 0.984 0.000 0.016
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.9965 0.000 1.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0747 0.8831 0.984 0.000 0.016
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.9965 0.000 1.000 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.6307 0.0878 0.512 0.000 0.488
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 3 0.1163 0.8053 0.028 0.000 0.972
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.8889 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9965 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9965 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 3 0.4974 0.6206 0.236 0.000 0.764
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 3 0.6307 0.1969 0.488 0.000 0.512
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0424 0.8876 0.992 0.000 0.008
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9965 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.4178 0.7612 0.172 0.828 0.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9965 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.0000 0.9965 0.000 1.000 0.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0424 0.8876 0.992 0.000 0.008
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0424 0.8876 0.992 0.000 0.008
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.9965 0.000 1.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9965 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.9965 0.000 1.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 3 0.6309 0.1734 0.496 0.000 0.504
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.8889 1.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.6302 0.1091 0.520 0.000 0.480
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0424 0.8876 0.992 0.000 0.008
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0000 0.8889 1.000 0.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.9965 0.000 1.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 3 0.0424 0.8159 0.008 0.000 0.992
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 3 0.0000 0.8149 0.000 0.000 1.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 0.9965 0.000 1.000 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.0424 0.9876 0.008 0.992 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.8889 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.5497 0.4790 0.708 0.292 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.9965 0.000 1.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.8889 1.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9965 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.6305 0.0987 0.516 0.000 0.484
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0424 0.8876 0.992 0.000 0.008
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9965 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.9965 0.000 1.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.9965 0.000 1.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.9965 0.000 1.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 3 0.0424 0.8159 0.008 0.000 0.992
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.8889 1.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9965 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.6307 0.0878 0.512 0.000 0.488
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.8889 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.9965 0.000 1.000 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9965 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 3 0.0424 0.8159 0.008 0.000 0.992
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9965 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 3 0.6305 0.2147 0.484 0.000 0.516
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9965 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9965 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0000 0.9965 0.000 1.000 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.8889 1.000 0.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 3 0.0000 0.8149 0.000 0.000 1.000
#> 83B88608-0506-428C-B9E8-621F38477B42 3 0.6168 0.1943 0.412 0.000 0.588
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.0424 0.8159 0.008 0.000 0.992
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 0.8889 1.000 0.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0237 0.8885 0.996 0.000 0.004
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0000 0.8889 1.000 0.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.5618 0.5236 0.732 0.260 0.008
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.8889 1.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 0.9965 0.000 1.000 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.5988 0.3477 0.000 0.368 0.632
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9965 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.9965 0.000 1.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 3 0.2959 0.7410 0.000 0.100 0.900
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.8889 1.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.5254 0.5305 0.736 0.000 0.264
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.5560 0.4591 0.700 0.000 0.300
#> F9DD688C-7B35-49E7-9651-2E098EE78856 3 0.6307 0.1969 0.488 0.000 0.512
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4399 0.6854 0.812 0.000 0.188
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.9965 0.000 1.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9965 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.9965 0.000 1.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9965 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0237 0.8885 0.996 0.000 0.004
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0424 0.8876 0.992 0.000 0.008
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.9965 0.000 1.000 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.8889 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9965 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.9965 0.000 1.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.0000 0.8889 1.000 0.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9965 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9965 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.9965 0.000 1.000 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 3 0.0237 0.8157 0.004 0.000 0.996
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 3 0.0424 0.8159 0.008 0.000 0.992
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9965 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.8889 1.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.4555 0.6777 0.800 0.000 0.200
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.3619 0.7622 0.864 0.000 0.136
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0424 0.8876 0.992 0.000 0.008
#> D005833F-E991-4E9E-9667-55F137288004 3 0.0592 0.8114 0.012 0.000 0.988
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 3 0.0000 0.8149 0.000 0.000 1.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0424 0.8876 0.992 0.000 0.008
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 0.9965 0.000 1.000 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.0000 0.9965 0.000 1.000 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9965 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.8889 1.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.8889 1.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.8889 1.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.9965 0.000 1.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.9965 0.000 1.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0424 0.8877 0.992 0.000 0.008
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9965 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.8889 1.000 0.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.9965 0.000 1.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0424 0.8876 0.992 0.000 0.008
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 0.9965 0.000 1.000 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 3 0.6305 0.2071 0.484 0.000 0.516
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.3816 0.7398 0.852 0.000 0.148
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.8889 1.000 0.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.2261 0.8348 0.932 0.000 0.068
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0424 0.8876 0.992 0.000 0.008
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9965 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9965 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 3 0.4399 0.6672 0.188 0.000 0.812
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9965 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0424 0.8876 0.992 0.000 0.008
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9965 0.000 1.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.9965 0.000 1.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.2625 0.7599 0.000 0.084 0.916
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.4555 0.6602 0.800 0.000 0.200
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.9965 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9965 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0424 0.8876 0.992 0.000 0.008
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.9965 0.000 1.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9965 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.0000 0.9965 0.000 1.000 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9965 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 3 0.6309 0.1728 0.496 0.000 0.504
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9965 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9965 0.000 1.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9965 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.0000 0.9965 0.000 1.000 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0237 0.8885 0.996 0.000 0.004
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 3 0.0000 0.8149 0.000 0.000 1.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.0424 0.8125 0.000 0.008 0.992
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.0424 0.8159 0.008 0.000 0.992
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.9965 0.000 1.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0424 0.8876 0.992 0.000 0.008
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 3 0.0424 0.8159 0.008 0.000 0.992
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9965 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0424 0.8876 0.992 0.000 0.008
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9965 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9965 0.000 1.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.6204 0.2421 0.576 0.000 0.424
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0237 0.8885 0.996 0.000 0.004
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9965 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.8889 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9965 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 3 0.0424 0.8159 0.008 0.000 0.992
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.0000 0.9965 0.000 1.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9965 0.000 1.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9965 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 3 0.0237 0.8157 0.004 0.000 0.996
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.8889 1.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.5455 0.6096 0.776 0.204 0.020
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9965 0.000 1.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.6307 0.0878 0.512 0.000 0.488
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0424 0.8876 0.992 0.000 0.008
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.9965 0.000 1.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.9965 0.000 1.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.8889 1.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.9965 0.000 1.000 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0424 0.8876 0.992 0.000 0.008
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9867 0.000 1.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.0188 0.7788 0.004 0.000 0.000 0.996
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9867 0.000 1.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.2334 0.8462 0.908 0.000 0.088 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9867 0.000 1.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.4761 0.3642 0.628 0.000 0.000 0.372
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9867 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.2149 0.8754 0.000 0.088 0.912 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0592 0.9675 0.000 0.984 0.000 0.016
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.2266 0.8481 0.912 0.000 0.084 0.004
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.2334 0.8462 0.908 0.000 0.088 0.004
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#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9867 0.000 1.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.6285 0.0771 0.528 0.000 0.060 0.412
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.8563 1.000 0.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9867 0.000 1.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.1661 0.8555 0.944 0.000 0.052 0.004
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9867 0.000 1.000 0.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0188 0.7816 0.004 0.000 0.000 0.996
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.2149 0.8754 0.000 0.088 0.912 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9867 0.000 1.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9867 0.000 1.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0336 0.7807 0.008 0.000 0.000 0.992
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.2334 0.8462 0.908 0.000 0.088 0.004
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.7705 0.4388 0.588 0.080 0.248 0.084
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9867 0.000 1.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 4 0.6693 0.2039 0.424 0.000 0.088 0.488
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0188 0.8555 0.996 0.000 0.000 0.004
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.9867 0.000 1.000 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.9867 0.000 1.000 0.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.2334 0.8462 0.908 0.000 0.088 0.004
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.9867 0.000 1.000 0.000 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0188 0.8555 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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 5 0.0404 0.9032 0.012 0.000 0.000 0.000 0.988
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0404 0.9288 0.988 0.000 0.000 0.000 0.012
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.8766 0.000 0.000 1.000 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0162 0.9779 0.000 0.996 0.000 0.004 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.4718 0.1738 0.444 0.000 0.016 0.000 0.540
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 0.8766 0.000 0.000 1.000 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0000 0.8766 0.000 0.000 1.000 0.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0162 0.9306 0.996 0.000 0.000 0.000 0.004
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.1197 0.8263 0.000 0.048 0.952 0.000 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.3990 0.5421 0.308 0.000 0.000 0.004 0.688
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 5 0.0609 0.8983 0.000 0.000 0.000 0.020 0.980
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.0794 0.9222 0.972 0.000 0.000 0.000 0.028
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0963 0.9201 0.964 0.000 0.000 0.000 0.036
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0162 0.9289 0.996 0.004 0.000 0.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.1410 0.9196 0.000 0.940 0.060 0.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 5 0.4283 0.2432 0.456 0.000 0.000 0.000 0.544
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 5 0.1732 0.8525 0.000 0.000 0.000 0.080 0.920
#> 69635D23-90A7-4BAD-97C7-B79536837F57 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.3684 0.6108 0.720 0.000 0.000 0.280 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0000 0.8766 0.000 0.000 1.000 0.000 0.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.4757 0.4208 0.024 0.380 0.596 0.000 0.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.3424 0.7217 0.760 0.000 0.000 0.000 0.240
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0703 0.9255 0.976 0.000 0.000 0.000 0.024
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.1410 0.9042 0.940 0.000 0.000 0.000 0.060
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.8766 0.000 0.000 1.000 0.000 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.8766 0.000 0.000 1.000 0.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 5 0.0404 0.9041 0.012 0.000 0.000 0.000 0.988
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.2127 0.8211 0.000 0.000 0.000 0.892 0.108
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 5 0.0404 0.9029 0.012 0.000 0.000 0.000 0.988
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0794 0.9199 0.972 0.000 0.000 0.028 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.2074 0.8667 0.000 0.896 0.104 0.000 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.1704 0.8980 0.928 0.000 0.004 0.000 0.068
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 5 0.0794 0.8943 0.000 0.000 0.000 0.028 0.972
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.1544 0.8996 0.932 0.000 0.000 0.000 0.068
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0510 0.9281 0.984 0.000 0.000 0.000 0.016
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.2377 0.8552 0.872 0.000 0.000 0.000 0.128
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.8766 0.000 0.000 1.000 0.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.1341 0.9124 0.944 0.000 0.000 0.000 0.056
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.3480 0.6488 0.000 0.752 0.000 0.248 0.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.3949 0.4962 0.000 0.668 0.000 0.332 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 5 0.0404 0.9037 0.012 0.000 0.000 0.000 0.988
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.4181 0.6011 0.712 0.000 0.000 0.020 0.268
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.2358 0.8594 0.888 0.000 0.000 0.008 0.104
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 5 0.0771 0.8984 0.004 0.000 0.000 0.020 0.976
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0162 0.9306 0.996 0.000 0.000 0.000 0.004
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 5 0.2074 0.8363 0.104 0.000 0.000 0.000 0.896
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.2771 0.8493 0.860 0.000 0.012 0.000 0.128
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 5 0.2561 0.7833 0.144 0.000 0.000 0.000 0.856
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 4 0.5541 0.5196 0.236 0.000 0.000 0.636 0.128
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 4 0.0963 0.8926 0.036 0.000 0.000 0.964 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0162 0.9202 0.004 0.000 0.000 0.996 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 5 0.1851 0.8491 0.088 0.000 0.000 0.000 0.912
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0000 0.8766 0.000 0.000 1.000 0.000 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0510 0.9281 0.984 0.000 0.000 0.000 0.016
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.2305 0.8761 0.896 0.000 0.000 0.012 0.092
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0609 0.9269 0.980 0.000 0.000 0.000 0.020
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.1544 0.8859 0.932 0.000 0.000 0.068 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.2471 0.8484 0.864 0.000 0.000 0.000 0.136
#> A330E011-CE08-4A85-8F4B-370592293DBB 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.3109 0.6916 0.200 0.000 0.000 0.800 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 5 0.2377 0.8161 0.128 0.000 0.000 0.000 0.872
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.2471 0.7139 0.000 0.136 0.000 0.864 0.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0000 0.8766 0.000 0.000 1.000 0.000 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.4262 0.2787 0.000 0.440 0.560 0.000 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0880 0.9222 0.968 0.000 0.000 0.000 0.032
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 5 0.1671 0.8587 0.076 0.000 0.000 0.000 0.924
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.4256 0.1686 0.000 0.000 0.000 0.564 0.436
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.5604 0.0560 0.472 0.000 0.000 0.456 0.072
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0162 0.9306 0.996 0.000 0.000 0.000 0.004
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.4305 0.0699 0.512 0.000 0.000 0.000 0.488
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.8766 0.000 0.000 1.000 0.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.9231 0.000 0.000 0.000 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 2 0.9203 -0.1712 0.188 0.408 0.168 0.136 0.100
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.4060 0.3886 0.000 0.000 0.000 0.360 0.640
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.9308 1.000 0.000 0.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 5 0.0000 0.9075 0.000 0.000 0.000 0.000 1.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.9821 0.000 1.000 0.000 0.000 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0162 0.9303 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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.0000 0.9209 0.000 0.000 0.000 1.000 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 5 0.0508 0.9144 0.012 0.000 0.000 0.000 0.984 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0935 0.8805 0.964 0.000 0.000 0.000 0.032 0.004
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0146 0.9504 0.000 0.996 0.000 0.000 0.000 0.004
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.9967 0.000 0.000 1.000 0.000 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.5655 0.0827 0.360 0.000 0.000 0.000 0.480 0.160
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 5 0.0000 0.9210 0.000 0.000 0.000 0.000 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.9209 0.000 0.000 0.000 1.000 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0632 0.9409 0.000 0.976 0.000 0.000 0.000 0.024
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 0.9967 0.000 0.000 1.000 0.000 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0260 0.9899 0.000 0.000 0.992 0.000 0.000 0.008
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.0000 0.9210 0.000 0.000 0.000 0.000 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.1267 0.8812 0.940 0.000 0.000 0.000 0.000 0.060
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.9209 0.000 0.000 0.000 1.000 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.0260 0.9860 0.000 0.008 0.992 0.000 0.000 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.3936 0.5557 0.288 0.000 0.000 0.024 0.688 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 5 0.0363 0.9155 0.000 0.000 0.000 0.012 0.988 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.1141 0.8828 0.948 0.000 0.000 0.000 0.000 0.052
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0458 0.9457 0.000 0.984 0.000 0.000 0.000 0.016
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.3725 0.6967 0.676 0.000 0.000 0.000 0.008 0.316
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0146 0.8863 0.996 0.000 0.000 0.000 0.000 0.004
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.2595 0.8446 0.836 0.000 0.000 0.000 0.004 0.160
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.2454 0.8452 0.840 0.000 0.000 0.000 0.000 0.160
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.2009 0.8783 0.000 0.908 0.068 0.000 0.000 0.024
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 5 0.3923 0.3529 0.416 0.000 0.000 0.000 0.580 0.004
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.2823 0.7952 0.000 0.204 0.000 0.000 0.000 0.796
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 5 0.0000 0.9210 0.000 0.000 0.000 0.000 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 5 0.0713 0.9049 0.000 0.000 0.000 0.028 0.972 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 5 0.0146 0.9196 0.000 0.000 0.000 0.000 0.996 0.004
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.3288 0.6626 0.724 0.000 0.000 0.276 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0146 0.8863 0.996 0.000 0.000 0.000 0.000 0.004
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0146 0.8863 0.996 0.000 0.000 0.000 0.000 0.004
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0458 0.9457 0.000 0.984 0.000 0.000 0.000 0.016
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 6 0.1765 0.6243 0.000 0.000 0.096 0.000 0.000 0.904
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 6 0.0260 0.6534 0.000 0.000 0.008 0.000 0.000 0.992
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0146 0.8863 0.996 0.000 0.000 0.000 0.000 0.004
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0146 0.8863 0.996 0.000 0.000 0.000 0.000 0.004
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0632 0.9409 0.000 0.976 0.000 0.000 0.000 0.024
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0458 0.9457 0.000 0.984 0.000 0.000 0.000 0.016
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.3050 0.6447 0.000 0.764 0.000 0.000 0.000 0.236
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0146 0.8861 0.996 0.000 0.000 0.000 0.000 0.004
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.2697 0.7830 0.812 0.000 0.000 0.000 0.188 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 5 0.0000 0.9210 0.000 0.000 0.000 0.000 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0692 0.8821 0.976 0.000 0.000 0.000 0.020 0.004
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.2896 0.8389 0.824 0.000 0.000 0.000 0.016 0.160
#> E19D5463-FDD0-41C1-A170-323736A88D07 6 0.2491 0.8278 0.000 0.164 0.000 0.000 0.000 0.836
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.9209 0.000 0.000 0.000 1.000 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0363 0.9146 0.012 0.000 0.000 0.988 0.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 6 0.2491 0.8278 0.000 0.164 0.000 0.000 0.000 0.836
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.9967 0.000 0.000 1.000 0.000 0.000 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 5 0.0000 0.9210 0.000 0.000 0.000 0.000 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 6 0.0790 0.6355 0.000 0.000 0.032 0.000 0.000 0.968
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 5 0.0000 0.9210 0.000 0.000 0.000 0.000 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 5 0.0000 0.9210 0.000 0.000 0.000 0.000 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0146 0.8863 0.996 0.000 0.000 0.000 0.000 0.004
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.2378 0.7869 0.000 0.848 0.000 0.000 0.000 0.152
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 6 0.3023 0.7647 0.000 0.232 0.000 0.000 0.000 0.768
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0632 0.9409 0.000 0.976 0.000 0.000 0.000 0.024
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.9209 0.000 0.000 0.000 1.000 0.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 5 0.0146 0.9199 0.004 0.000 0.000 0.000 0.996 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.0937 0.8874 0.000 0.000 0.000 0.960 0.040 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 5 0.0363 0.9152 0.012 0.000 0.000 0.000 0.988 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 6 0.2491 0.8278 0.000 0.164 0.000 0.000 0.000 0.836
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0458 0.9457 0.000 0.984 0.000 0.000 0.000 0.016
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.9209 0.000 0.000 0.000 1.000 0.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.1444 0.8642 0.928 0.000 0.000 0.072 0.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0458 0.9457 0.000 0.984 0.000 0.000 0.000 0.016
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 6 0.3092 0.7160 0.000 0.060 0.104 0.000 0.000 0.836
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.2981 0.8377 0.820 0.000 0.000 0.000 0.020 0.160
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0000 0.9209 0.000 0.000 0.000 1.000 0.000 0.000
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#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 4 0.5301 0.5516 0.120 0.000 0.000 0.676 0.044 0.160
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 5 0.0000 0.9210 0.000 0.000 0.000 0.000 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0146 0.8861 0.996 0.000 0.000 0.000 0.000 0.004
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#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 5 0.0000 0.9210 0.000 0.000 0.000 0.000 1.000 0.000
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#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
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#> 22EE8076-F07C-499A-9AF8-D800A77EF154 6 0.3857 0.3158 0.000 0.468 0.000 0.000 0.000 0.532
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.2340 0.8513 0.852 0.000 0.000 0.000 0.000 0.148
#> 41183565-434D-474C-B1BD-CA6E94910658 6 0.2454 0.8255 0.000 0.160 0.000 0.000 0.000 0.840
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.1701 0.8458 0.920 0.000 0.000 0.072 0.008 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0146 0.8863 0.996 0.000 0.000 0.000 0.000 0.004
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.3530 0.8254 0.792 0.000 0.000 0.000 0.056 0.152
#> A330E011-CE08-4A85-8F4B-370592293DBB 5 0.0000 0.9210 0.000 0.000 0.000 0.000 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0146 0.8863 0.996 0.000 0.000 0.000 0.000 0.004
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0260 0.9484 0.000 0.992 0.000 0.000 0.000 0.008
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.2902 0.7076 0.196 0.000 0.000 0.800 0.000 0.004
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0458 0.9457 0.000 0.984 0.000 0.000 0.000 0.016
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 5 0.1141 0.8860 0.052 0.000 0.000 0.000 0.948 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.2941 0.6653 0.000 0.780 0.000 0.000 0.000 0.220
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.2260 0.7173 0.000 0.140 0.000 0.860 0.000 0.000
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#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0000 0.9967 0.000 0.000 1.000 0.000 0.000 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0458 0.9457 0.000 0.984 0.000 0.000 0.000 0.016
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0146 0.8861 0.996 0.000 0.000 0.000 0.000 0.004
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 6 0.2491 0.8278 0.000 0.164 0.000 0.000 0.000 0.836
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2398 0.8670 0.876 0.000 0.000 0.000 0.020 0.104
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0363 0.9146 0.012 0.000 0.000 0.988 0.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.0000 0.9209 0.000 0.000 0.000 1.000 0.000 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.9209 0.000 0.000 0.000 1.000 0.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 6 0.2941 0.7841 0.000 0.220 0.000 0.000 0.000 0.780
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 5 0.0458 0.9126 0.016 0.000 0.000 0.000 0.984 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.3851 0.0934 0.000 0.000 0.000 0.540 0.460 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.2454 0.8445 0.840 0.000 0.000 0.000 0.000 0.160
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.4463 0.1686 0.508 0.000 0.000 0.468 0.020 0.004
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0146 0.8861 0.996 0.000 0.000 0.000 0.000 0.004
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0458 0.9457 0.000 0.984 0.000 0.000 0.000 0.016
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.3991 0.0787 0.524 0.000 0.000 0.000 0.472 0.004
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0632 0.9409 0.000 0.976 0.000 0.000 0.000 0.024
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.9209 0.000 0.000 0.000 1.000 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.9967 0.000 0.000 1.000 0.000 0.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0146 0.9504 0.000 0.996 0.000 0.000 0.000 0.004
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.9209 0.000 0.000 0.000 1.000 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 5 0.0000 0.9210 0.000 0.000 0.000 0.000 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 2 0.7981 -0.2203 0.084 0.380 0.016 0.176 0.036 0.308
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9514 0.000 1.000 0.000 0.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.3647 0.3968 0.000 0.000 0.000 0.360 0.640 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0260 0.8868 0.992 0.000 0.000 0.000 0.000 0.008
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0458 0.9457 0.000 0.984 0.000 0.000 0.000 0.016
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0146 0.9502 0.000 0.996 0.000 0.000 0.000 0.004
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 5 0.0000 0.9210 0.000 0.000 0.000 0.000 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.3309 0.5493 0.000 0.280 0.000 0.000 0.000 0.720
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0146 0.8863 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["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 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.927 0.922 0.970 0.5003 0.498 0.498
#> 3 3 0.806 0.838 0.922 0.1958 0.902 0.806
#> 4 4 0.695 0.697 0.817 0.0927 0.941 0.862
#> 5 5 0.617 0.552 0.769 0.1089 0.841 0.609
#> 6 6 0.655 0.520 0.739 0.0795 0.854 0.544
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9620 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.9728 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9620 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.9728 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9620 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.9728 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9620 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.9522 0.4330 0.372 0.628
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 0.9620 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.9728 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.9728 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 0.9728 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.9620 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.9427 0.4608 0.360 0.640
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.2423 0.9281 0.040 0.960
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.9728 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9620 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.9728 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9620 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.9620 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0000 0.9728 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.2423 0.9281 0.040 0.960
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.9728 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.9728 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.9728 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9620 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.0000 0.9728 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.9728 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0000 0.9728 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.5408 0.8383 0.876 0.124
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.9620 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.9728 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.9620 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.9728 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.9728 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.9728 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9620 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9620 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.9728 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.9728 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.9728 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9620 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.9850 0.2818 0.428 0.572
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9620 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.0376 0.9588 0.004 0.996
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.9728 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.9728 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.9620 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9620 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.9620 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.9728 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.9728 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.9728 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.9728 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0000 0.9728 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.9620 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.9728 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0000 0.9728 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 0.9620 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.9522 0.4330 0.372 0.628
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.9728 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.9983 0.0423 0.524 0.476
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.9620 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.9728 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9620 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.9728 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.9728 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9620 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.9620 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.9620 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.9620 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0000 0.9728 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.9728 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9620 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.9728 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.9728 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.9620 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9620 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.0000 0.9728 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9620 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 0.9728 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9620 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9620 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0000 0.9620 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.9728 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 0.9728 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.9728 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.9358 0.4437 0.648 0.352
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 0.9728 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.9728 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0000 0.9728 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.9983 0.0423 0.524 0.476
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.9728 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 0.9620 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.7219 0.7469 0.200 0.800
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9620 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.9620 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.7528 0.7243 0.216 0.784
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.9728 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.9728 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.9728 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.9728 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.9728 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.9620 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9620 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.9620 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9620 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.9728 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.9728 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.9620 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.9728 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9620 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.9620 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.9795 0.2495 0.584 0.416
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9620 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9620 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.9620 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0000 0.9728 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0000 0.9728 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9620 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.9728 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.0000 0.9728 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.9728 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.9728 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.9728 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0000 0.9728 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.9728 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 0.9620 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.9522 0.4330 0.372 0.628
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9620 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.9728 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.9728 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.9728 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.9620 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.9620 0.000 1.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.9728 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9620 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.9728 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.9620 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.9728 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 0.9620 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.9728 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.9728 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.9728 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.9728 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.9728 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9620 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9620 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.9728 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9620 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.9728 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9620 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.9620 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.2778 0.9210 0.048 0.952
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.9728 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.9620 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9620 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.9728 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.9620 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9620 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.9522 0.4330 0.372 0.628
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9620 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.9728 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9620 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9620 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9620 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.0938 0.9523 0.012 0.988
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.9728 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 0.9728 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.7453 0.7301 0.212 0.788
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.9286 0.4623 0.656 0.344
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.9620 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.9728 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.9728 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9620 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.9728 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9620 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9620 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.9728 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.9728 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9620 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.9728 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9620 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 0.9728 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.9427 0.4608 0.360 0.640
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9620 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9620 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 0.9728 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.9728 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.9815 0.2390 0.580 0.420
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9620 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.9728 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.9728 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.9620 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.9620 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.9728 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.9620 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.9728 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0747 0.9426 0.000 0.984 0.016
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.2878 0.8496 0.904 0.000 0.096
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0592 0.9417 0.000 0.988 0.012
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.9322 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0592 0.9417 0.000 0.988 0.012
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.9322 1.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0747 0.9426 0.000 0.984 0.016
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.4233 0.7262 0.004 0.160 0.836
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 3 0.5733 0.5846 0.000 0.324 0.676
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.1860 0.8844 0.948 0.000 0.052
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.9322 1.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.4504 0.7401 0.804 0.000 0.196
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0424 0.9422 0.000 0.992 0.008
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.4233 0.7262 0.004 0.160 0.836
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.5882 0.5604 0.000 0.348 0.652
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.9322 1.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0237 0.9416 0.000 0.996 0.004
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.9322 1.000 0.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.2625 0.8803 0.000 0.916 0.084
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0592 0.9417 0.000 0.988 0.012
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.5591 0.5703 0.696 0.000 0.304
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.6252 0.3314 0.000 0.444 0.556
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.9322 1.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0237 0.9298 0.996 0.000 0.004
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.9322 1.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0892 0.9414 0.000 0.980 0.020
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.5905 0.4082 0.648 0.000 0.352
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.2165 0.8803 0.936 0.000 0.064
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0000 0.9322 1.000 0.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 3 0.7386 0.1735 0.460 0.032 0.508
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.1163 0.9400 0.000 0.972 0.028
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.9322 1.000 0.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0592 0.9417 0.000 0.988 0.012
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.9322 1.000 0.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0237 0.9298 0.996 0.000 0.004
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.9322 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0747 0.9426 0.000 0.984 0.016
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0892 0.9414 0.000 0.980 0.020
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0237 0.9298 0.996 0.000 0.004
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.9322 1.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.9322 1.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0892 0.9414 0.000 0.980 0.020
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.5497 0.7170 0.124 0.064 0.812
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0747 0.9426 0.000 0.984 0.016
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.6235 -0.0898 0.000 0.564 0.436
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.9322 1.000 0.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.9322 1.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.1860 0.9122 0.000 0.948 0.052
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0747 0.9426 0.000 0.984 0.016
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0592 0.9417 0.000 0.988 0.012
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.9322 1.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.9322 1.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0237 0.9298 0.996 0.000 0.004
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.9322 1.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0000 0.9322 1.000 0.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0592 0.9417 0.000 0.988 0.012
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.5835 0.4992 0.660 0.000 0.340
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.6274 0.1966 0.544 0.000 0.456
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0592 0.9417 0.000 0.988 0.012
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.4233 0.7262 0.004 0.160 0.836
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.9322 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.5746 0.6688 0.180 0.040 0.780
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0592 0.9417 0.000 0.988 0.012
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.9322 1.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0747 0.9426 0.000 0.984 0.016
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.9322 1.000 0.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.9322 1.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0747 0.9426 0.000 0.984 0.016
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.1031 0.9413 0.000 0.976 0.024
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0592 0.9417 0.000 0.988 0.012
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0237 0.9426 0.000 0.996 0.004
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.6307 0.0889 0.512 0.000 0.488
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.9322 1.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.3192 0.8514 0.000 0.888 0.112
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.2959 0.8456 0.900 0.000 0.100
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.9322 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0592 0.9417 0.000 0.988 0.012
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0892 0.9414 0.000 0.980 0.020
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 3 0.6252 0.1037 0.444 0.000 0.556
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0892 0.9414 0.000 0.980 0.020
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0237 0.9298 0.996 0.000 0.004
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0892 0.9414 0.000 0.980 0.020
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0747 0.9426 0.000 0.984 0.016
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.1860 0.9219 0.000 0.948 0.052
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.1289 0.9043 0.968 0.000 0.032
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.2878 0.8496 0.904 0.000 0.096
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0237 0.9298 0.996 0.000 0.004
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.7396 0.6940 0.152 0.144 0.704
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 0.9322 1.000 0.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.9322 1.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0000 0.9322 1.000 0.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.5746 0.6688 0.180 0.040 0.780
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.9322 1.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.1031 0.9367 0.000 0.976 0.024
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.5529 0.6271 0.000 0.296 0.704
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0747 0.9426 0.000 0.984 0.016
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0592 0.9417 0.000 0.988 0.012
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 3 0.5529 0.6271 0.000 0.296 0.704
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.9322 1.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.9322 1.000 0.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.9322 1.000 0.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.9322 1.000 0.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0237 0.9298 0.996 0.000 0.004
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0592 0.9417 0.000 0.988 0.012
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0892 0.9414 0.000 0.980 0.020
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.1031 0.9413 0.000 0.976 0.024
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0592 0.9430 0.000 0.988 0.012
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.9322 1.000 0.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.9322 1.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0592 0.9417 0.000 0.988 0.012
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.9322 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0592 0.9430 0.000 0.988 0.012
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0592 0.9417 0.000 0.988 0.012
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.6286 0.0721 0.536 0.000 0.464
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.2165 0.9123 0.000 0.936 0.064
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0747 0.9426 0.000 0.984 0.016
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.1031 0.9367 0.000 0.976 0.024
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.3038 0.8415 0.896 0.000 0.104
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.6305 0.1031 0.516 0.000 0.484
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.2165 0.9123 0.000 0.936 0.064
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.9322 1.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.6062 0.3243 0.616 0.000 0.384
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.9322 1.000 0.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.9322 1.000 0.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0237 0.9298 0.996 0.000 0.004
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.5591 0.5677 0.696 0.000 0.304
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.9322 1.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0592 0.9417 0.000 0.988 0.012
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.4233 0.7262 0.004 0.160 0.836
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0747 0.9426 0.000 0.984 0.016
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.9322 1.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.9322 1.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.9322 1.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0592 0.9417 0.000 0.988 0.012
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.3879 0.7922 0.000 0.848 0.152
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.9322 1.000 0.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0747 0.9426 0.000 0.984 0.016
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.9322 1.000 0.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0592 0.9417 0.000 0.988 0.012
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.9322 1.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0592 0.9417 0.000 0.988 0.012
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.9322 1.000 0.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.9322 1.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.9322 1.000 0.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.9322 1.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.9322 1.000 0.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9422 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.2165 0.9057 0.000 0.936 0.064
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0424 0.9276 0.992 0.000 0.008
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0747 0.9426 0.000 0.984 0.016
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.9322 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.3941 0.7976 0.000 0.844 0.156
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.1860 0.9122 0.000 0.948 0.052
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.5529 0.6271 0.000 0.296 0.704
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.9322 1.000 0.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.1163 0.9400 0.000 0.972 0.028
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0747 0.9426 0.000 0.984 0.016
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.9322 1.000 0.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.1860 0.9122 0.000 0.948 0.052
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0747 0.9426 0.000 0.984 0.016
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.4233 0.7262 0.004 0.160 0.836
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0747 0.9426 0.000 0.984 0.016
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.9322 1.000 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.2959 0.8648 0.000 0.900 0.100
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.5497 0.5684 0.000 0.708 0.292
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0747 0.9426 0.000 0.984 0.016
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.6244 -0.1059 0.000 0.560 0.440
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.9322 1.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.6045 0.4083 0.620 0.000 0.380
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.5529 0.6271 0.000 0.296 0.704
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.7393 0.6929 0.156 0.140 0.704
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0592 0.9417 0.000 0.988 0.012
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.9322 1.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.3038 0.8415 0.896 0.000 0.104
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0424 0.9416 0.000 0.992 0.008
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.9322 1.000 0.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0747 0.9426 0.000 0.984 0.016
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0237 0.9426 0.000 0.996 0.004
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.9322 1.000 0.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.9322 1.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0892 0.9414 0.000 0.980 0.020
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.9322 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0424 0.9422 0.000 0.992 0.008
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.5733 0.5319 0.676 0.000 0.324
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.4233 0.7262 0.004 0.160 0.836
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.5216 0.6297 0.000 0.740 0.260
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0892 0.9414 0.000 0.980 0.020
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.6307 0.0889 0.512 0.000 0.488
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.9322 1.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.7519 0.3684 0.388 0.044 0.568
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.2959 0.8744 0.000 0.900 0.100
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0237 0.9298 0.996 0.000 0.004
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.9322 1.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.5216 0.6297 0.000 0.740 0.260
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.5216 0.6297 0.000 0.740 0.260
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.9322 1.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0592 0.9417 0.000 0.988 0.012
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.9322 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.5277 0.4591 0.000 0.532 0.008 0.460
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.3547 0.8092 0.840 0.000 0.144 0.016
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.4222 0.7070 0.000 0.728 0.000 0.272
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.3523 0.5832 0.000 0.112 0.856 0.032
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.5497 0.5887 0.000 0.284 0.044 0.672
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.3149 0.8130 0.880 0.000 0.088 0.032
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.4307 0.7823 0.808 0.000 0.144 0.048
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0469 0.7424 0.000 0.988 0.000 0.012
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.3523 0.5832 0.000 0.112 0.856 0.032
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.5292 0.1579 0.000 0.512 0.480 0.008
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0188 0.9008 0.996 0.000 0.000 0.004
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.4761 0.6029 0.000 0.628 0.000 0.372
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.1388 0.8855 0.960 0.000 0.028 0.012
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 4 0.5085 -0.0811 0.000 0.376 0.008 0.616
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.4322 0.7797 0.804 0.000 0.152 0.044
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.7419 -0.0603 0.000 0.436 0.396 0.168
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.2647 0.8391 0.880 0.000 0.120 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.3377 0.8172 0.848 0.000 0.140 0.012
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.4356 0.6994 0.000 0.708 0.000 0.292
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.4567 0.5043 0.716 0.000 0.276 0.008
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.2610 0.8607 0.900 0.000 0.088 0.012
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.1545 0.8781 0.952 0.000 0.040 0.008
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.7113 -0.0280 0.532 0.000 0.316 0.152
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0336 0.7420 0.000 0.992 0.000 0.008
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0336 0.8997 0.992 0.000 0.000 0.008
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.3108 0.8369 0.872 0.000 0.112 0.016
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.3443 0.8189 0.848 0.000 0.136 0.016
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.4406 0.6944 0.000 0.700 0.000 0.300
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.4679 0.6437 0.000 0.648 0.000 0.352
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.2973 0.8223 0.856 0.000 0.144 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.4304 0.7033 0.000 0.716 0.000 0.284
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.4142 0.6025 0.092 0.068 0.836 0.004
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.4406 0.6947 0.000 0.700 0.000 0.300
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.4304 0.5245 0.000 0.716 0.284 0.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0188 0.9008 0.996 0.000 0.000 0.004
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0469 0.9008 0.988 0.000 0.000 0.012
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.2469 0.6174 0.000 0.892 0.000 0.108
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.4250 0.7059 0.000 0.724 0.000 0.276
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.3606 0.8126 0.840 0.000 0.140 0.020
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.1256 0.8859 0.964 0.000 0.028 0.008
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.5624 0.5802 0.668 0.000 0.280 0.052
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.6324 0.2429 0.536 0.000 0.400 0.064
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.3653 0.5908 0.024 0.112 0.856 0.008
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0188 0.9008 0.996 0.000 0.000 0.004
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.3584 0.5875 0.152 0.008 0.836 0.004
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.4866 0.5647 0.000 0.596 0.000 0.404
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0469 0.8987 0.988 0.000 0.000 0.012
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0188 0.9008 0.996 0.000 0.000 0.004
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.4222 0.7070 0.000 0.728 0.000 0.272
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0188 0.7419 0.000 0.996 0.000 0.004
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0188 0.7426 0.000 0.996 0.000 0.004
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.7425 -0.1618 0.420 0.000 0.412 0.168
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.2032 0.8711 0.936 0.000 0.028 0.036
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.4482 0.3101 0.000 0.728 0.008 0.264
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.3863 0.8090 0.828 0.000 0.144 0.028
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.4250 0.7077 0.000 0.724 0.000 0.276
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 3 0.7766 0.2721 0.244 0.000 0.412 0.344
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.4382 0.6970 0.000 0.704 0.000 0.296
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.1635 0.8865 0.948 0.000 0.044 0.008
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.4304 0.7033 0.000 0.716 0.000 0.284
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.4564 0.6662 0.000 0.672 0.000 0.328
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0336 0.7420 0.000 0.992 0.000 0.008
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.2867 0.8163 0.884 0.000 0.104 0.012
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.4050 0.7936 0.820 0.000 0.144 0.036
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.3428 0.8138 0.844 0.000 0.144 0.012
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.4720 0.1752 0.000 0.004 0.324 0.672
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.1256 0.8859 0.964 0.000 0.028 0.008
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.3584 0.5875 0.152 0.008 0.836 0.004
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0524 0.8992 0.988 0.000 0.004 0.008
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.5940 0.5608 0.000 0.240 0.088 0.672
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.4222 0.7070 0.000 0.728 0.000 0.272
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 4 0.5646 0.5769 0.000 0.272 0.056 0.672
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0469 0.9003 0.988 0.000 0.000 0.012
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0927 0.8966 0.976 0.000 0.008 0.016
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0188 0.9008 0.996 0.000 0.000 0.004
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.1302 0.8846 0.956 0.000 0.044 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.3157 0.8193 0.852 0.000 0.144 0.004
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.4304 0.7033 0.000 0.716 0.000 0.284
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0336 0.7420 0.000 0.992 0.000 0.008
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.4193 0.7079 0.000 0.732 0.000 0.268
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0524 0.8992 0.988 0.000 0.004 0.008
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0707 0.7379 0.000 0.980 0.000 0.020
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.5685 0.2643 0.460 0.000 0.516 0.024
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.3311 0.5389 0.000 0.828 0.000 0.172
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.4331 0.7015 0.000 0.712 0.000 0.288
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.4050 0.7936 0.820 0.000 0.144 0.036
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.6949 0.0520 0.480 0.000 0.408 0.112
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 4 0.4996 -0.3941 0.000 0.484 0.000 0.516
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0188 0.9008 0.996 0.000 0.000 0.004
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.5657 0.3473 0.644 0.000 0.312 0.044
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.1624 0.8807 0.952 0.000 0.028 0.020
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> D005833F-E991-4E9E-9667-55F137288004 1 0.3547 0.8121 0.840 0.000 0.144 0.016
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.4904 0.7072 0.744 0.000 0.216 0.040
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.3523 0.5832 0.000 0.112 0.856 0.032
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.4222 0.7070 0.000 0.728 0.000 0.272
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.1388 0.8855 0.960 0.000 0.028 0.012
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0921 0.8886 0.972 0.000 0.028 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.5636 0.0391 0.000 0.648 0.044 0.308
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.2214 0.8633 0.928 0.000 0.028 0.044
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.4331 0.7015 0.000 0.712 0.000 0.288
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0188 0.7390 0.000 0.996 0.000 0.004
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0336 0.8996 0.992 0.000 0.008 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.2760 0.8336 0.872 0.000 0.128 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.4193 0.7079 0.000 0.732 0.000 0.268
#> 64552DC0-181E-4607-898C-787AA7F26435 4 0.5112 -0.1081 0.000 0.384 0.008 0.608
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.3501 0.8197 0.848 0.000 0.132 0.020
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.4222 0.7070 0.000 0.728 0.000 0.272
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.5203 -0.2113 0.000 0.576 0.008 0.416
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.2921 0.5773 0.000 0.860 0.000 0.140
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.6215 0.5357 0.000 0.208 0.128 0.664
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.3494 0.7262 0.000 0.824 0.004 0.172
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.4277 0.7053 0.000 0.720 0.000 0.280
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0469 0.9003 0.988 0.000 0.000 0.012
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.2530 0.6116 0.000 0.888 0.000 0.112
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.4356 0.6994 0.000 0.708 0.000 0.292
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.3523 0.5832 0.000 0.112 0.856 0.032
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.4454 0.6883 0.000 0.692 0.000 0.308
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0524 0.9006 0.988 0.000 0.008 0.004
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.5277 0.4500 0.000 0.532 0.008 0.460
#> 642703B1-AF99-4746-A915-0792F4B9590B 4 0.4897 0.6012 0.000 0.332 0.008 0.660
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.4304 0.7033 0.000 0.716 0.000 0.284
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.4331 0.5184 0.000 0.712 0.288 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.5836 0.5230 0.640 0.000 0.304 0.056
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.5910 0.3466 0.000 0.084 0.244 0.672
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.5004 0.0916 0.000 0.004 0.392 0.604
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.4139 0.7898 0.816 0.000 0.144 0.040
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.7419 0.000 1.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0804 0.8957 0.980 0.000 0.012 0.008
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.4304 0.7033 0.000 0.716 0.000 0.284
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0188 0.7426 0.000 0.996 0.000 0.004
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0672 0.8977 0.984 0.000 0.008 0.008
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.4222 0.7070 0.000 0.728 0.000 0.272
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.9009 1.000 0.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0188 0.7426 0.000 0.996 0.000 0.004
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.6260 0.5789 0.664 0.000 0.144 0.192
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.3523 0.5832 0.000 0.112 0.856 0.032
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 4 0.4713 0.6015 0.000 0.360 0.000 0.640
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.4304 0.7033 0.000 0.716 0.000 0.284
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 3 0.7500 0.1222 0.408 0.000 0.412 0.180
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.7484 0.4156 0.388 0.008 0.464 0.140
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.4988 0.2007 0.000 0.692 0.020 0.288
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.3105 0.8228 0.856 0.000 0.140 0.004
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0336 0.9003 0.992 0.000 0.000 0.008
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 4 0.4933 0.5437 0.000 0.432 0.000 0.568
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 4 0.4941 0.5375 0.000 0.436 0.000 0.564
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0524 0.8991 0.988 0.000 0.008 0.004
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0188 0.7390 0.000 0.996 0.000 0.004
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.9009 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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 5 0.3816 0.38074 0.000 0.304 0.000 0.000 0.696
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.3983 0.39493 0.660 0.000 0.000 0.340 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0510 0.74764 0.000 0.984 0.000 0.000 0.016
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0880 0.80600 0.968 0.000 0.000 0.032 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0404 0.74798 0.000 0.988 0.000 0.000 0.012
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.2127 0.77585 0.892 0.000 0.000 0.108 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.4307 -0.26241 0.000 0.500 0.000 0.000 0.500
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.72302 0.000 0.000 1.000 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 5 0.6618 0.08238 0.000 0.360 0.024 0.124 0.492
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.4404 0.63862 0.760 0.000 0.088 0.152 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.2329 0.77119 0.876 0.000 0.000 0.124 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.3143 0.81642 0.204 0.000 0.000 0.796 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.2329 0.68761 0.000 0.876 0.000 0.000 0.124
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 0.72302 0.000 0.000 1.000 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.4045 0.34043 0.000 0.356 0.644 0.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.1608 0.79547 0.928 0.000 0.000 0.072 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 5 0.4307 0.24315 0.000 0.500 0.000 0.000 0.500
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.2605 0.72857 0.852 0.000 0.000 0.148 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 5 0.0955 0.31362 0.000 0.028 0.000 0.004 0.968
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.1792 0.72134 0.000 0.916 0.000 0.000 0.084
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.3684 0.80537 0.280 0.000 0.000 0.720 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.6576 -0.07037 0.000 0.352 0.436 0.000 0.212
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.3452 0.62125 0.756 0.000 0.000 0.244 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.3983 0.39041 0.660 0.000 0.000 0.340 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0510 0.80237 0.984 0.000 0.000 0.016 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 5 0.4256 0.35757 0.000 0.436 0.000 0.000 0.564
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.5408 0.41296 0.652 0.000 0.228 0.120 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3661 0.69876 0.724 0.000 0.000 0.276 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.3366 0.71128 0.828 0.000 0.032 0.140 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.6543 0.26771 0.556 0.012 0.256 0.172 0.004
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.2488 0.68643 0.000 0.872 0.004 0.000 0.124
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.2280 0.78169 0.880 0.000 0.000 0.120 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0404 0.74372 0.000 0.988 0.000 0.012 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.4249 0.04669 0.568 0.000 0.000 0.432 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4304 -0.18149 0.516 0.000 0.000 0.484 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.1851 0.78738 0.912 0.000 0.000 0.088 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 5 0.4201 0.37213 0.000 0.408 0.000 0.000 0.592
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 5 0.4161 0.37640 0.000 0.392 0.000 0.000 0.608
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.3586 0.58088 0.736 0.000 0.000 0.264 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.1965 0.78763 0.904 0.000 0.000 0.096 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.1544 0.79573 0.932 0.000 0.000 0.068 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 5 0.4242 0.36075 0.000 0.428 0.000 0.000 0.572
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.2740 0.69029 0.096 0.000 0.876 0.028 0.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 5 0.4227 0.36844 0.000 0.420 0.000 0.000 0.580
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.4644 0.22333 0.000 0.604 0.380 0.012 0.004
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0609 0.80533 0.980 0.000 0.000 0.020 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.2020 0.78245 0.900 0.000 0.000 0.100 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.1908 0.71608 0.000 0.908 0.000 0.000 0.092
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 5 0.4283 0.33555 0.000 0.456 0.000 0.000 0.544
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0404 0.74372 0.000 0.988 0.000 0.012 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0880 0.80492 0.968 0.000 0.000 0.032 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0290 0.80481 0.992 0.000 0.000 0.008 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.4030 0.71398 0.352 0.000 0.000 0.648 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.2074 0.77846 0.896 0.000 0.000 0.104 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.2660 0.73742 0.864 0.000 0.008 0.128 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0404 0.74372 0.000 0.988 0.000 0.012 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.3757 0.81946 0.208 0.000 0.020 0.772 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.3710 0.81016 0.192 0.000 0.024 0.784 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0404 0.74372 0.000 0.988 0.000 0.012 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.72302 0.000 0.000 1.000 0.000 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.2230 0.77395 0.884 0.000 0.000 0.116 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.4158 0.64084 0.124 0.000 0.784 0.092 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.1571 0.73493 0.000 0.936 0.000 0.004 0.060
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.3003 0.70274 0.812 0.000 0.000 0.188 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 5 0.3932 0.37768 0.000 0.328 0.000 0.000 0.672
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.2891 0.73482 0.824 0.000 0.000 0.176 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.1197 0.80130 0.952 0.000 0.000 0.048 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.4300 -0.21227 0.000 0.524 0.000 0.000 0.476
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0162 0.74726 0.000 0.996 0.000 0.000 0.004
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.1671 0.72532 0.000 0.924 0.000 0.000 0.076
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.2329 0.68761 0.000 0.876 0.000 0.000 0.124
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.6316 0.49374 0.164 0.000 0.356 0.480 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.3010 0.71650 0.824 0.000 0.000 0.172 0.004
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 5 0.4702 0.00291 0.000 0.432 0.000 0.016 0.552
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.3876 0.60165 0.684 0.000 0.000 0.316 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.1851 0.78738 0.912 0.000 0.000 0.088 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0404 0.74372 0.000 0.988 0.000 0.012 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 5 0.4262 0.35143 0.000 0.440 0.000 0.000 0.560
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.6540 0.44104 0.156 0.000 0.372 0.464 0.008
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 5 0.4268 0.35070 0.000 0.444 0.000 0.000 0.556
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.3305 0.75646 0.776 0.000 0.000 0.224 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 5 0.4273 0.34378 0.000 0.448 0.000 0.000 0.552
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 5 0.3983 0.37110 0.000 0.340 0.000 0.000 0.660
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0451 0.74731 0.000 0.988 0.004 0.000 0.008
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.4487 0.63324 0.756 0.000 0.104 0.140 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.4101 0.66020 0.372 0.000 0.000 0.628 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.3999 0.37969 0.656 0.000 0.000 0.344 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 5 0.6660 -0.42341 0.000 0.000 0.380 0.228 0.392
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.2516 0.73312 0.860 0.000 0.000 0.140 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0404 0.80507 0.988 0.000 0.000 0.012 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.2660 0.73742 0.864 0.000 0.008 0.128 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.2921 0.67513 0.124 0.000 0.856 0.020 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0609 0.80207 0.980 0.000 0.000 0.020 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0404 0.74372 0.000 0.988 0.000 0.012 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 5 0.7357 0.00718 0.000 0.300 0.088 0.124 0.488
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 5 0.4306 0.26347 0.000 0.492 0.000 0.000 0.508
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.1732 0.72407 0.000 0.920 0.000 0.000 0.080
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 5 0.7283 0.03282 0.000 0.344 0.044 0.176 0.436
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1197 0.80082 0.952 0.000 0.000 0.048 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.3039 0.64852 0.808 0.000 0.000 0.192 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0510 0.80548 0.984 0.000 0.000 0.016 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.3177 0.67552 0.792 0.000 0.000 0.208 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.3983 0.38960 0.660 0.000 0.000 0.340 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0162 0.74597 0.000 0.996 0.000 0.004 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 5 0.4249 0.35852 0.000 0.432 0.000 0.000 0.568
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0404 0.74746 0.000 0.988 0.000 0.000 0.012
#> CC02897D-9123-495E-9242-5C9CF4EC269B 5 0.4300 0.29976 0.000 0.476 0.000 0.000 0.524
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.2127 0.75952 0.892 0.000 0.000 0.108 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.2179 0.77294 0.888 0.000 0.000 0.112 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0404 0.74372 0.000 0.988 0.000 0.012 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.2179 0.77294 0.888 0.000 0.000 0.112 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.3796 0.36844 0.000 0.700 0.000 0.000 0.300
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.2006 0.73120 0.000 0.916 0.000 0.012 0.072
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.6042 0.22350 0.396 0.000 0.484 0.120 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.4114 0.32697 0.000 0.624 0.000 0.000 0.376
#> B588950F-14D6-41C8-845B-EFD2096013C6 5 0.4287 0.32908 0.000 0.460 0.000 0.000 0.540
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0404 0.74372 0.000 0.988 0.000 0.012 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.3707 0.80102 0.284 0.000 0.000 0.716 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.5446 0.71084 0.176 0.000 0.164 0.660 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 5 0.3895 0.37921 0.000 0.320 0.000 0.000 0.680
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.1908 0.78483 0.908 0.000 0.000 0.092 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.6316 -0.04314 0.480 0.000 0.356 0.164 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.2124 0.77103 0.900 0.000 0.004 0.096 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0290 0.80481 0.992 0.000 0.000 0.008 0.000
#> D005833F-E991-4E9E-9667-55F137288004 4 0.3816 0.78058 0.304 0.000 0.000 0.696 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.3527 0.81311 0.192 0.000 0.016 0.792 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.2179 0.77294 0.888 0.000 0.000 0.112 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0404 0.74372 0.000 0.988 0.000 0.012 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0000 0.72302 0.000 0.000 1.000 0.000 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 5 0.4306 0.26347 0.000 0.492 0.000 0.000 0.508
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.2516 0.73312 0.860 0.000 0.000 0.140 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.1638 0.79239 0.932 0.000 0.004 0.064 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.2377 0.76689 0.872 0.000 0.000 0.128 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0290 0.74748 0.000 0.992 0.000 0.000 0.008
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.5429 0.34330 0.000 0.692 0.056 0.040 0.212
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.2690 0.72280 0.844 0.000 0.000 0.156 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 5 0.4268 0.35057 0.000 0.444 0.000 0.000 0.556
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0162 0.80445 0.996 0.000 0.000 0.004 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0566 0.74526 0.000 0.984 0.000 0.012 0.004
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.80387 1.000 0.000 0.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.1356 0.72644 0.000 0.956 0.028 0.012 0.004
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.2516 0.74802 0.860 0.000 0.000 0.140 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.1671 0.78826 0.924 0.000 0.000 0.076 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.2074 0.76176 0.896 0.000 0.000 0.104 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.3857 0.44837 0.688 0.000 0.000 0.312 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0290 0.80481 0.992 0.000 0.000 0.008 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.4300 -0.21227 0.000 0.524 0.000 0.000 0.476
#> 64552DC0-181E-4607-898C-787AA7F26435 5 0.3010 0.35784 0.000 0.172 0.000 0.004 0.824
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.3774 0.78873 0.296 0.000 0.000 0.704 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.4304 -0.23432 0.000 0.516 0.000 0.000 0.484
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.2561 0.75537 0.856 0.000 0.000 0.144 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 5 0.4919 0.08124 0.000 0.368 0.012 0.016 0.604
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.3661 0.51169 0.000 0.724 0.000 0.000 0.276
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 5 0.7674 -0.09810 0.000 0.224 0.164 0.120 0.492
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0404 0.80507 0.988 0.000 0.000 0.012 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.4161 0.12666 0.000 0.608 0.000 0.000 0.392
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 5 0.4227 0.36770 0.000 0.420 0.000 0.000 0.580
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.2377 0.75412 0.872 0.000 0.000 0.128 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.2074 0.71263 0.000 0.896 0.000 0.000 0.104
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 5 0.4268 0.35061 0.000 0.444 0.000 0.000 0.556
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0000 0.72302 0.000 0.000 1.000 0.000 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 5 0.4219 0.37109 0.000 0.416 0.000 0.000 0.584
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.2648 0.74715 0.848 0.000 0.000 0.152 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 5 0.1851 0.34252 0.000 0.088 0.000 0.000 0.912
#> 642703B1-AF99-4746-A915-0792F4B9590B 5 0.5627 0.08050 0.000 0.364 0.024 0.040 0.572
#> 8F0D1792-1284-45E6-8EC4-392596057677 5 0.4291 0.32240 0.000 0.464 0.000 0.000 0.536
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.4567 0.24531 0.000 0.628 0.356 0.012 0.004
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0510 0.80621 0.984 0.000 0.000 0.016 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.3550 0.80326 0.184 0.000 0.020 0.796 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 5 0.7108 -0.40479 0.000 0.020 0.368 0.216 0.396
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 5 0.6875 -0.42575 0.008 0.000 0.380 0.220 0.392
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0404 0.74372 0.000 0.988 0.000 0.012 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.2280 0.76810 0.880 0.000 0.000 0.120 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.3932 0.73014 0.328 0.000 0.000 0.672 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.1851 0.71828 0.000 0.912 0.000 0.000 0.088
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.2536 0.74057 0.868 0.000 0.004 0.128 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 5 0.4291 0.32347 0.000 0.464 0.000 0.000 0.536
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.2230 0.69565 0.000 0.884 0.000 0.000 0.116
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.2516 0.73312 0.860 0.000 0.000 0.140 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0404 0.80526 0.988 0.000 0.000 0.012 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.4300 -0.21227 0.000 0.524 0.000 0.000 0.476
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.2230 0.77269 0.884 0.000 0.000 0.116 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.3039 0.58947 0.000 0.808 0.000 0.000 0.192
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.3109 0.81458 0.200 0.000 0.000 0.800 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.72302 0.000 0.000 1.000 0.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 5 0.5338 0.08316 0.000 0.364 0.024 0.024 0.588
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 5 0.4287 0.32849 0.000 0.460 0.000 0.000 0.540
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.6316 0.49374 0.164 0.000 0.356 0.480 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0609 0.80402 0.980 0.000 0.000 0.020 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.7883 0.18141 0.376 0.092 0.384 0.140 0.008
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.4706 0.39708 0.000 0.724 0.032 0.020 0.224
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.3274 0.67625 0.780 0.000 0.000 0.220 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0404 0.80526 0.988 0.000 0.000 0.012 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 5 0.5193 0.07874 0.000 0.372 0.024 0.016 0.588
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 5 0.5278 0.03891 0.000 0.408 0.024 0.016 0.552
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0703 0.80359 0.976 0.000 0.000 0.024 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.1267 0.72995 0.000 0.960 0.024 0.012 0.004
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0609 0.80581 0.980 0.000 0.000 0.020 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0692 0.89858 0.000 0.976 0.004 0.000 0.000 0.020
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.4640 0.33309 0.576 0.000 0.000 0.376 0.048 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 6 0.2930 0.74447 0.000 0.124 0.000 0.000 0.036 0.840
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1765 0.70561 0.904 0.000 0.000 0.096 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 6 0.3014 0.74376 0.000 0.132 0.000 0.000 0.036 0.832
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0858 0.70287 0.968 0.000 0.004 0.028 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0458 0.89948 0.000 0.984 0.000 0.000 0.000 0.016
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0779 0.69573 0.000 0.008 0.976 0.000 0.008 0.008
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 6 0.5018 0.41583 0.000 0.052 0.020 0.000 0.320 0.608
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 4 0.6018 0.17689 0.268 0.000 0.104 0.568 0.060 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.1716 0.69113 0.932 0.000 0.004 0.028 0.036 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.5221 0.05649 0.092 0.000 0.000 0.476 0.432 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.3636 0.45104 0.000 0.676 0.000 0.000 0.004 0.320
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0779 0.69573 0.000 0.008 0.976 0.000 0.008 0.008
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.5867 0.36572 0.000 0.140 0.564 0.000 0.028 0.268
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0935 0.71006 0.964 0.000 0.004 0.032 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0777 0.89771 0.000 0.972 0.000 0.000 0.004 0.024
#> 825E6C11-F460-451A-8045-846DD7D0E945 4 0.3823 -0.04872 0.436 0.000 0.000 0.564 0.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.2312 0.81172 0.000 0.876 0.000 0.000 0.012 0.112
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 6 0.4165 0.64294 0.000 0.292 0.000 0.000 0.036 0.672
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.5983 0.00105 0.244 0.000 0.000 0.432 0.324 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.5894 0.12700 0.000 0.496 0.372 0.000 0.032 0.100
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.4066 0.39428 0.692 0.000 0.000 0.272 0.036 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4674 0.25907 0.608 0.000 0.000 0.332 0.060 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2442 0.68194 0.852 0.000 0.004 0.144 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0951 0.89399 0.000 0.968 0.020 0.000 0.004 0.008
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.5274 0.18674 0.492 0.000 0.100 0.408 0.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3888 0.56461 0.672 0.000 0.000 0.312 0.016 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 4 0.6135 0.02564 0.352 0.000 0.100 0.496 0.052 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 4 0.6517 0.10219 0.224 0.000 0.152 0.556 0.052 0.016
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4943 0.03795 0.000 0.548 0.024 0.000 0.028 0.400
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.2263 0.67513 0.900 0.000 0.004 0.060 0.036 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.2629 0.74336 0.000 0.092 0.000 0.000 0.040 0.868
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 4 0.5974 0.10631 0.312 0.000 0.000 0.440 0.248 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 4 0.5849 0.09456 0.204 0.000 0.000 0.460 0.336 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0777 0.70444 0.972 0.000 0.004 0.024 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0146 0.89744 0.000 0.996 0.000 0.000 0.000 0.004
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#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.2668 0.76683 0.000 0.828 0.000 0.000 0.004 0.168
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.4580 0.04873 0.028 0.000 0.004 0.528 0.440 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0779 0.69573 0.000 0.008 0.976 0.000 0.008 0.008
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 6 0.5394 0.53086 0.000 0.168 0.012 0.000 0.196 0.624
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.1053 0.89314 0.000 0.964 0.020 0.000 0.004 0.012
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.6407 -0.13454 0.048 0.000 0.392 0.424 0.136 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.2069 0.69719 0.908 0.000 0.004 0.068 0.020 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.6870 0.54804 0.036 0.000 0.508 0.200 0.224 0.032
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 6 0.3313 0.73910 0.000 0.148 0.036 0.000 0.004 0.812
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.3690 0.42907 0.684 0.000 0.000 0.308 0.008 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.1957 0.69653 0.888 0.000 0.000 0.112 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 6 0.5295 0.56289 0.000 0.240 0.012 0.000 0.124 0.624
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 6 0.5334 0.55955 0.000 0.228 0.012 0.000 0.136 0.624
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.3155 0.61197 0.828 0.000 0.004 0.132 0.036 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.3892 0.73007 0.000 0.092 0.036 0.000 0.068 0.804
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1536 0.70322 0.940 0.000 0.004 0.040 0.016 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 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.992 0.997 0.5019 0.498 0.498
#> 3 3 0.859 0.887 0.950 0.2500 0.840 0.689
#> 4 4 0.792 0.828 0.913 0.1172 0.839 0.614
#> 5 5 0.774 0.725 0.865 0.0667 0.892 0.675
#> 6 6 0.808 0.799 0.888 0.0471 0.908 0.677
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.000 0.993 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.000 1.000 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.000 0.993 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.000 1.000 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.000 0.993 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.000 1.000 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.000 0.993 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.000 0.993 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.000 0.993 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.000 1.000 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.000 1.000 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.000 1.000 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.000 0.993 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.000 0.993 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.000 0.993 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.000 1.000 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.000 0.993 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.000 1.000 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.000 0.993 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.000 0.993 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.000 1.000 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.000 0.993 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.000 1.000 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.000 1.000 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.000 1.000 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.000 0.993 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.000 1.000 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.000 1.000 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.000 1.000 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.000 1.000 1.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.000 0.993 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.000 1.000 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.000 0.993 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.000 1.000 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.000 1.000 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.000 1.000 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.000 0.993 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.000 0.993 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.000 1.000 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.000 1.000 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.000 1.000 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.000 0.993 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.000 0.993 0.000 1.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.000 0.993 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.000 0.993 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.000 1.000 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.000 1.000 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.000 0.993 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.000 0.993 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.000 0.993 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.000 1.000 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.000 1.000 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.000 1.000 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.000 1.000 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.000 1.000 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.000 0.993 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.000 1.000 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.000 1.000 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.000 0.993 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.000 0.993 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.000 1.000 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.000 1.000 1.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.000 0.993 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.000 1.000 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.000 0.993 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.000 1.000 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.000 1.000 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.000 0.993 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.000 0.993 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.000 0.993 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.000 0.993 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.000 1.000 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.000 1.000 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.000 0.993 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.000 1.000 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.000 1.000 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.000 0.993 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.000 0.993 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.000 1.000 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.000 0.993 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.000 1.000 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.000 0.993 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.000 0.993 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.000 0.993 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.000 1.000 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.000 1.000 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.000 1.000 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.000 1.000 1.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.000 1.000 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.000 1.000 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.000 1.000 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.000 1.000 1.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.000 1.000 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.000 0.993 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.929 0.483 0.344 0.656
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.000 0.993 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.000 0.993 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.714 0.759 0.196 0.804
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.000 1.000 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.000 1.000 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.000 1.000 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.000 1.000 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.000 1.000 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.000 0.993 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.000 0.993 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.000 0.993 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.000 0.993 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.000 1.000 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.000 1.000 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.000 0.993 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.000 1.000 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.000 0.993 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.000 0.993 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.000 1.000 1.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.000 0.993 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.000 0.993 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.000 0.993 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.000 1.000 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.000 1.000 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.000 0.993 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.000 1.000 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.000 1.000 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.000 1.000 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.000 1.000 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.000 1.000 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.000 1.000 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.000 1.000 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.000 0.993 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.000 0.993 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.000 0.993 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.000 1.000 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.000 1.000 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.000 1.000 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.000 0.993 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.000 0.993 0.000 1.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.000 1.000 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.000 0.993 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.000 1.000 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.000 0.993 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.000 1.000 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.000 0.993 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.000 1.000 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.000 1.000 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.000 1.000 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.000 1.000 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.000 1.000 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.000 0.993 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.000 0.993 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.000 1.000 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.000 0.993 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.000 1.000 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.000 0.993 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.000 0.993 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.118 0.978 0.016 0.984
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.000 1.000 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.000 0.993 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.000 0.993 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.000 1.000 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.000 0.993 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.000 0.993 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.000 0.993 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.000 0.993 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.000 1.000 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.000 0.993 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.000 0.993 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.000 0.993 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.000 0.993 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.000 1.000 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.000 1.000 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.430 0.901 0.088 0.912
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.000 1.000 1.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.000 0.993 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.000 1.000 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.000 1.000 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.000 0.993 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.000 1.000 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.000 0.993 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.000 0.993 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.000 1.000 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.000 1.000 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.000 0.993 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.000 1.000 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.000 0.993 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.000 1.000 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.000 0.993 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.000 0.993 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.000 0.993 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.000 1.000 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.000 1.000 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.000 1.000 1.000 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.000 0.993 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.000 1.000 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.000 1.000 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.000 0.993 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.000 0.993 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.000 1.000 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.000 0.993 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.000 1.000 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.977 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.957 1.000 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.977 0.000 1.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.957 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.977 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.957 1.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.977 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0000 0.977 0.000 1.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 0.977 0.000 1.000 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 3 0.6026 0.455 0.376 0.000 0.624
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.957 1.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 0.957 1.000 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.977 0.000 1.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0000 0.977 0.000 1.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.4002 0.801 0.000 0.840 0.160
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.957 1.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.977 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 3 0.6260 0.258 0.448 0.000 0.552
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.977 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.977 0.000 1.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0000 0.957 1.000 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.0000 0.977 0.000 1.000 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.957 1.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.957 1.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.6126 0.285 0.600 0.000 0.400
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.977 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.0000 0.825 0.000 0.000 1.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.957 1.000 0.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 3 0.0000 0.825 0.000 0.000 1.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 3 0.6111 0.408 0.396 0.000 0.604
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.977 0.000 1.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.957 1.000 0.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0237 0.974 0.000 0.996 0.004
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.957 1.000 0.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.957 1.000 0.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.1964 0.909 0.944 0.000 0.056
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.977 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.977 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.957 1.000 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.957 1.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.1289 0.931 0.968 0.000 0.032
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.977 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0000 0.825 0.000 0.000 1.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.977 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.0000 0.825 0.000 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0424 0.951 0.992 0.000 0.008
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.3192 0.847 0.888 0.000 0.112
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.977 0.000 1.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.977 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.977 0.000 1.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.957 1.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.957 1.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.957 1.000 0.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.3038 0.857 0.896 0.000 0.104
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.0000 0.825 0.000 0.000 1.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0424 0.970 0.000 0.992 0.008
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.957 1.000 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0000 0.957 1.000 0.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.5835 0.458 0.000 0.340 0.660
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.825 0.000 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.957 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.825 0.000 0.000 1.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.977 0.000 1.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.957 1.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.977 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.957 1.000 0.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.957 1.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.977 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.977 0.000 1.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.977 0.000 1.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.977 0.000 1.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0000 0.957 1.000 0.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.957 1.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.977 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.957 1.000 0.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.957 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.4887 0.654 0.000 0.228 0.772
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.977 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.0000 0.957 1.000 0.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.977 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 0.957 1.000 0.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.977 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.977 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0000 0.977 0.000 1.000 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 3 0.4178 0.737 0.172 0.000 0.828
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 0.957 1.000 0.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.957 1.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.0000 0.957 1.000 0.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 3 0.0000 0.825 0.000 0.000 1.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.957 1.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 3 0.0000 0.825 0.000 0.000 1.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.825 0.000 0.000 1.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.6154 0.257 0.592 0.000 0.408
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.4555 0.690 0.000 0.200 0.800
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.5650 0.520 0.312 0.688 0.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.977 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.977 0.000 1.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.5178 0.617 0.256 0.744 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.957 1.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.957 1.000 0.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.957 1.000 0.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.957 1.000 0.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.957 1.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.977 0.000 1.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.977 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.977 0.000 1.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.977 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 3 0.6095 0.418 0.392 0.000 0.608
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.957 1.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0892 0.959 0.000 0.980 0.020
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0592 0.948 0.988 0.000 0.012
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.977 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.977 0.000 1.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.0000 0.825 0.000 0.000 1.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.977 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.977 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.4555 0.690 0.000 0.200 0.800
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0000 0.957 1.000 0.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0000 0.957 1.000 0.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.977 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.4750 0.703 0.784 0.000 0.216
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.0000 0.825 0.000 0.000 1.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.1753 0.917 0.952 0.000 0.048
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.1753 0.916 0.952 0.000 0.048
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.957 1.000 0.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0000 0.957 1.000 0.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.957 1.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.4654 0.680 0.000 0.208 0.792
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.0424 0.970 0.000 0.992 0.008
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.977 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 3 0.4605 0.708 0.204 0.000 0.796
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0424 0.951 0.992 0.000 0.008
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.957 1.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.977 0.000 1.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0592 0.966 0.000 0.988 0.012
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 3 0.5948 0.488 0.360 0.000 0.640
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.977 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 3 0.2878 0.789 0.096 0.000 0.904
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.977 0.000 1.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 3 0.4654 0.704 0.208 0.000 0.792
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.0000 0.825 0.000 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.957 1.000 0.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.957 1.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 3 0.5882 0.521 0.348 0.000 0.652
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.957 1.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.6026 0.357 0.624 0.000 0.376
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.977 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.977 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.957 1.000 0.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.977 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.957 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.977 0.000 1.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.977 0.000 1.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.1411 0.936 0.036 0.964 0.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.4062 0.781 0.836 0.000 0.164
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.977 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.977 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0892 0.941 0.980 0.000 0.020
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.977 0.000 1.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.977 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.4504 0.751 0.000 0.804 0.196
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.977 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.957 1.000 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.977 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.977 0.000 1.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.977 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.4555 0.690 0.000 0.200 0.800
#> A716BC29-161F-4CA0-B240-00B330137F2C 3 0.5905 0.504 0.352 0.000 0.648
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 0.957 1.000 0.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.5706 0.506 0.320 0.680 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.0000 0.957 1.000 0.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.5678 0.539 0.000 0.316 0.684
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.957 1.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.957 1.000 0.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.977 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 3 0.0000 0.825 0.000 0.000 1.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.977 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.977 0.000 1.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 3 0.4605 0.710 0.204 0.000 0.796
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.957 1.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.977 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.957 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.977 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 0.957 1.000 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.5216 0.647 0.000 0.740 0.260
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.977 0.000 1.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.977 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 0.957 1.000 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.6045 0.346 0.620 0.000 0.380
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.2625 0.795 0.084 0.000 0.916
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.977 0.000 1.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.957 1.000 0.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.5016 0.662 0.760 0.000 0.240
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.977 0.000 1.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.977 0.000 1.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.5760 0.481 0.672 0.000 0.328
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.0237 0.824 0.000 0.004 0.996
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.957 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.0469 0.8943 0.012 0.000 0.000 0.988
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.2921 0.8585 0.860 0.000 0.000 0.140
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.2647 0.8699 0.880 0.000 0.000 0.120
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.4836 0.5334 0.000 0.672 0.320 0.008
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4992 0.0972 0.000 0.524 0.000 0.476
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.1022 0.8651 0.968 0.000 0.032 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.1557 0.8858 0.944 0.000 0.000 0.056
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0188 0.8965 0.004 0.000 0.000 0.996
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.3591 0.7768 0.000 0.824 0.168 0.008
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.4720 0.4931 0.000 0.324 0.672 0.004
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.2469 0.8759 0.892 0.000 0.000 0.108
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0188 0.8767 0.996 0.000 0.004 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0188 0.8965 0.004 0.000 0.000 0.996
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.3401 0.7956 0.000 0.840 0.152 0.008
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.4008 0.7669 0.756 0.000 0.000 0.244
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4477 0.6691 0.688 0.000 0.000 0.312
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0336 0.8757 0.992 0.000 0.008 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.2868 0.8229 0.136 0.000 0.864 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3610 0.8180 0.800 0.000 0.000 0.200
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.3074 0.7526 0.848 0.000 0.152 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0592 0.8732 0.984 0.000 0.016 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.2197 0.8739 0.000 0.916 0.080 0.004
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.2647 0.8702 0.880 0.000 0.000 0.120
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.4661 0.4296 0.000 0.652 0.348 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.4776 0.5485 0.624 0.000 0.000 0.376
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4679 0.5971 0.648 0.000 0.000 0.352
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0469 0.8823 0.988 0.000 0.000 0.012
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.4998 -0.2055 0.488 0.000 0.000 0.512
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.2973 0.8613 0.856 0.000 0.000 0.144
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0592 0.8810 0.984 0.000 0.000 0.016
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.2011 0.8345 0.080 0.000 0.920 0.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.2149 0.8347 0.088 0.000 0.912 0.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.1118 0.8857 0.964 0.000 0.000 0.036
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0592 0.8810 0.984 0.000 0.000 0.016
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.2647 0.8737 0.880 0.000 0.000 0.120
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0188 0.8799 0.996 0.000 0.000 0.004
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.2868 0.7843 0.136 0.000 0.000 0.864
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0592 0.8832 0.984 0.000 0.000 0.016
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.3311 0.8033 0.172 0.000 0.828 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.4925 0.2033 0.000 0.572 0.428 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0188 0.8965 0.004 0.000 0.000 0.996
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0336 0.8965 0.008 0.000 0.000 0.992
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.4539 0.6526 0.008 0.272 0.720 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0188 0.8072 0.000 0.000 0.996 0.004
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.2868 0.8616 0.864 0.000 0.000 0.136
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.1474 0.8313 0.052 0.000 0.948 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.3266 0.8376 0.832 0.000 0.000 0.168
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.3528 0.8173 0.808 0.000 0.000 0.192
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.1302 0.8862 0.956 0.000 0.000 0.044
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0188 0.8965 0.004 0.000 0.000 0.996
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.2081 0.8821 0.916 0.000 0.000 0.084
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.0336 0.8965 0.008 0.000 0.000 0.992
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.1557 0.8862 0.944 0.000 0.000 0.056
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.3392 0.7855 0.020 0.124 0.856 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0469 0.8829 0.000 0.000 0.012 0.988
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.1929 0.8612 0.024 0.000 0.036 0.940
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.3801 0.6991 0.000 0.780 0.220 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.3219 0.7400 0.836 0.000 0.164 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0336 0.8965 0.008 0.000 0.000 0.992
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.4522 0.6519 0.680 0.000 0.000 0.320
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0188 0.8965 0.004 0.000 0.000 0.996
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 3 0.4955 0.3098 0.444 0.000 0.556 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.2216 0.8802 0.908 0.000 0.000 0.092
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 3 0.3024 0.8222 0.148 0.000 0.852 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.1211 0.8282 0.040 0.000 0.960 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0188 0.8767 0.996 0.000 0.004 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.1624 0.8276 0.028 0.020 0.952 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.4981 0.0842 0.000 0.464 0.000 0.536
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.4761 0.3959 0.000 0.628 0.000 0.372
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1637 0.8859 0.940 0.000 0.000 0.060
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.2760 0.8656 0.872 0.000 0.000 0.128
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.2647 0.8733 0.880 0.000 0.000 0.120
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.3569 0.8206 0.804 0.000 0.000 0.196
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4222 0.7289 0.728 0.000 0.000 0.272
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0469 0.8745 0.988 0.000 0.012 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.1474 0.8860 0.948 0.000 0.000 0.052
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.4967 0.1390 0.000 0.548 0.452 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.8785 1.000 0.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.2216 0.8346 0.092 0.000 0.908 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.2021 0.8306 0.040 0.024 0.936 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0336 0.8965 0.008 0.000 0.000 0.992
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0188 0.8965 0.004 0.000 0.000 0.996
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.8785 1.000 0.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.2530 0.8316 0.112 0.000 0.888 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.2773 0.8714 0.880 0.000 0.004 0.116
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.1109 0.8770 0.968 0.000 0.004 0.028
#> D005833F-E991-4E9E-9667-55F137288004 4 0.3726 0.6807 0.212 0.000 0.000 0.788
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0336 0.8965 0.008 0.000 0.000 0.992
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.1867 0.8840 0.928 0.000 0.000 0.072
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.5056 0.7627 0.076 0.164 0.760 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.5294 0.0677 0.000 0.508 0.484 0.008
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0336 0.8757 0.992 0.000 0.008 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.2216 0.8800 0.908 0.000 0.000 0.092
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.2704 0.8675 0.876 0.000 0.000 0.124
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.1854 0.8847 0.048 0.940 0.012 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0592 0.8732 0.984 0.000 0.016 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.3356 0.7072 0.824 0.000 0.176 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0469 0.9336 0.000 0.988 0.012 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0592 0.8732 0.984 0.000 0.016 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.3695 0.8172 0.156 0.016 0.828 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.4624 0.6192 0.660 0.000 0.000 0.340
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.2973 0.8614 0.856 0.000 0.000 0.144
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.5004 0.1710 0.604 0.000 0.392 0.004
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.3356 0.8306 0.824 0.000 0.000 0.176
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0657 0.8748 0.984 0.000 0.012 0.004
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.3123 0.7566 0.156 0.000 0.000 0.844
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.2760 0.8652 0.872 0.000 0.000 0.128
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0469 0.9345 0.000 0.988 0.012 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.1767 0.8314 0.000 0.044 0.012 0.944
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.1576 0.8710 0.948 0.000 0.004 0.048
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0469 0.8792 0.988 0.000 0.000 0.012
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.4328 0.6445 0.000 0.244 0.748 0.008
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.4454 0.4904 0.308 0.000 0.000 0.692
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.0524 0.8073 0.000 0.008 0.988 0.004
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0188 0.8767 0.996 0.000 0.004 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0336 0.8965 0.008 0.000 0.000 0.992
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.1211 0.8506 0.000 0.040 0.000 0.960
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0188 0.8965 0.004 0.000 0.000 0.996
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.5995 0.4930 0.096 0.672 0.232 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.2530 0.8726 0.888 0.000 0.000 0.112
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.0188 0.8965 0.004 0.000 0.000 0.996
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 3 0.4103 0.7305 0.256 0.000 0.744 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.7152 0.2304 0.544 0.000 0.284 0.172
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0592 0.8810 0.984 0.000 0.000 0.016
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.2814 0.8642 0.868 0.000 0.000 0.132
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0188 0.8965 0.004 0.000 0.000 0.996
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.3810 0.7020 0.000 0.188 0.804 0.008
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0188 0.8965 0.004 0.000 0.000 0.996
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0188 0.8767 0.996 0.000 0.004 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.2345 0.8101 0.900 0.000 0.100 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9431 0.000 1.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 4 0.0921 0.8842 0.028 0.000 0.000 0.972
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0524 0.8773 0.988 0.000 0.008 0.004
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.1118 0.9134 0.000 0.964 0.000 0.036
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0592 0.9295 0.000 0.984 0.000 0.016
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.8785 1.000 0.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.4636 0.7900 0.188 0.040 0.772 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2149 0.8811 0.912 0.000 0.000 0.088
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.96107 0.000 1.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.3424 0.73005 0.000 0.000 0.000 0.760 0.240
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.96107 0.000 1.000 0.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.86894 1.000 0.000 0.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.96107 0.000 1.000 0.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3461 0.71228 0.772 0.000 0.000 0.004 0.224
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.96107 0.000 1.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.3336 0.55979 0.000 0.228 0.772 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4291 0.15194 0.000 0.536 0.000 0.464 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.3141 0.78966 0.852 0.000 0.040 0.000 0.108
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.86894 1.000 0.000 0.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.83681 0.000 0.000 0.000 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.96107 0.000 1.000 0.000 0.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.3480 0.54633 0.000 0.248 0.752 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.2471 0.58767 0.000 0.136 0.864 0.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.86894 1.000 0.000 0.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.96107 0.000 1.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.1341 0.85009 0.944 0.000 0.000 0.000 0.056
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.96107 0.000 1.000 0.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0162 0.95772 0.000 0.996 0.000 0.000 0.004
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.83681 0.000 0.000 0.000 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.3586 0.53126 0.000 0.264 0.736 0.000 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.1043 0.85305 0.960 0.000 0.000 0.040 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0162 0.86749 0.996 0.000 0.000 0.004 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.4182 0.43561 0.600 0.000 0.000 0.000 0.400
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.96107 0.000 1.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 5 0.3707 0.32042 0.000 0.000 0.284 0.000 0.716
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 4 0.4822 0.59970 0.032 0.000 0.000 0.616 0.352
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 5 0.4891 0.47321 0.172 0.000 0.112 0.000 0.716
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 5 0.3949 0.31592 0.332 0.000 0.000 0.000 0.668
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.3452 0.63622 0.000 0.756 0.244 0.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.2891 0.76361 0.824 0.000 0.000 0.000 0.176
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.2740 0.81646 0.000 0.876 0.096 0.000 0.028
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0290 0.86544 0.992 0.000 0.000 0.008 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0162 0.86749 0.996 0.000 0.000 0.004 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.86894 1.000 0.000 0.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.96107 0.000 1.000 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.96107 0.000 1.000 0.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.3305 0.73931 0.000 0.000 0.000 0.776 0.224
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.5699 0.54609 0.108 0.000 0.000 0.584 0.308
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 5 0.4638 0.32205 0.324 0.000 0.000 0.028 0.648
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.96107 0.000 1.000 0.000 0.000 0.000
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cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.1888 0.87771 0.012 0.916 0.068 0.000 0.000 0.004
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.2730 0.78552 0.808 0.000 0.000 0.192 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.2149 0.86636 0.016 0.900 0.080 0.000 0.000 0.004
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 5 0.0363 0.86205 0.012 0.000 0.000 0.000 0.988 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.1787 0.88048 0.008 0.920 0.068 0.000 0.000 0.004
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.2912 0.79024 0.784 0.000 0.000 0.000 0.216 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0363 0.91644 0.000 0.988 0.012 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.2066 0.89616 0.000 0.052 0.908 0.000 0.000 0.040
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.3854 0.16468 0.000 0.536 0.000 0.464 0.000 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.5762 0.55951 0.120 0.000 0.076 0.000 0.640 0.164
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 5 0.0260 0.86250 0.008 0.000 0.000 0.000 0.992 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0260 0.91718 0.000 0.992 0.008 0.000 0.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.1951 0.88023 0.000 0.076 0.908 0.000 0.000 0.016
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.2190 0.89739 0.000 0.040 0.900 0.000 0.000 0.060
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.0260 0.86250 0.008 0.000 0.000 0.000 0.992 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0146 0.91642 0.000 0.996 0.004 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 5 0.2825 0.77610 0.136 0.000 0.008 0.000 0.844 0.012
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0260 0.91707 0.000 0.992 0.008 0.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0458 0.91338 0.000 0.984 0.016 0.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.1918 0.86666 0.000 0.088 0.904 0.000 0.000 0.008
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.2740 0.78520 0.028 0.000 0.000 0.120 0.852 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 5 0.0405 0.86233 0.008 0.000 0.000 0.004 0.988 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2631 0.81743 0.820 0.000 0.000 0.000 0.180 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0547 0.91431 0.000 0.980 0.020 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 6 0.3641 0.61475 0.248 0.000 0.020 0.000 0.000 0.732
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.1910 0.81707 0.892 0.000 0.000 0.108 0.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 6 0.3746 0.62343 0.272 0.000 0.004 0.000 0.012 0.712
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.1845 0.77562 0.916 0.000 0.072 0.000 0.004 0.008
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 3 0.3151 0.61637 0.000 0.252 0.748 0.000 0.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.2823 0.79957 0.796 0.000 0.000 0.000 0.204 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.3240 0.66254 0.000 0.752 0.004 0.000 0.000 0.244
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 5 0.0260 0.86250 0.008 0.000 0.000 0.000 0.992 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 5 0.0260 0.85861 0.000 0.000 0.000 0.008 0.992 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 5 0.0363 0.86205 0.012 0.000 0.000 0.000 0.988 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0458 0.91377 0.000 0.984 0.016 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0547 0.91431 0.000 0.980 0.020 0.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.2946 0.80055 0.812 0.000 0.000 0.176 0.012 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.3006 0.84896 0.844 0.000 0.000 0.064 0.092 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.2358 0.84402 0.900 0.000 0.000 0.016 0.056 0.028
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0458 0.91556 0.000 0.984 0.016 0.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 6 0.1219 0.82601 0.048 0.000 0.004 0.000 0.000 0.948
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0146 0.91642 0.000 0.996 0.004 0.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 6 0.1285 0.82347 0.052 0.000 0.004 0.000 0.000 0.944
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.2188 0.84150 0.912 0.000 0.000 0.032 0.036 0.020
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.2144 0.83771 0.908 0.000 0.000 0.004 0.048 0.040
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0363 0.91644 0.000 0.988 0.012 0.000 0.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0363 0.91675 0.000 0.988 0.012 0.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.1636 0.89586 0.004 0.936 0.024 0.000 0.000 0.036
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.2791 0.83889 0.864 0.000 0.000 0.096 0.032 0.008
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 5 0.1387 0.83497 0.068 0.000 0.000 0.000 0.932 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 5 0.2772 0.74112 0.004 0.000 0.000 0.180 0.816 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.2912 0.79027 0.784 0.000 0.000 0.000 0.216 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 6 0.2328 0.82433 0.052 0.000 0.056 0.000 0.000 0.892
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.3309 0.61691 0.000 0.720 0.000 0.000 0.000 0.280
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.1141 0.86005 0.052 0.000 0.000 0.948 0.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 6 0.3400 0.69511 0.044 0.132 0.008 0.000 0.000 0.816
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.2092 0.82161 0.000 0.000 0.876 0.000 0.000 0.124
#> 54501315-7132-44B2-A179-10FBF1421105 5 0.0260 0.86250 0.008 0.000 0.000 0.000 0.992 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 6 0.2178 0.80488 0.000 0.000 0.132 0.000 0.000 0.868
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0935 0.90672 0.004 0.964 0.032 0.000 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 5 0.3390 0.51468 0.296 0.000 0.000 0.000 0.704 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0363 0.91644 0.000 0.988 0.012 0.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 5 0.0260 0.86250 0.008 0.000 0.000 0.000 0.992 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.2219 0.83949 0.864 0.000 0.000 0.000 0.136 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0260 0.91705 0.000 0.992 0.008 0.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.3667 0.79135 0.080 0.816 0.088 0.000 0.012 0.004
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0508 0.91647 0.004 0.984 0.012 0.000 0.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0146 0.91722 0.000 0.996 0.004 0.000 0.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 5 0.0146 0.86173 0.004 0.000 0.000 0.000 0.996 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0260 0.91705 0.000 0.992 0.008 0.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.0632 0.88942 0.000 0.000 0.000 0.976 0.024 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 5 0.0363 0.86205 0.012 0.000 0.000 0.000 0.988 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 6 0.1921 0.82912 0.000 0.032 0.052 0.000 0.000 0.916
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0363 0.91644 0.000 0.988 0.012 0.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0363 0.91644 0.000 0.988 0.012 0.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.4855 0.31898 0.556 0.000 0.000 0.380 0.000 0.064
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0547 0.91431 0.000 0.980 0.020 0.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0260 0.91718 0.000 0.992 0.008 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.5104 0.34224 0.000 0.588 0.304 0.000 0.000 0.108
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 5 0.5675 0.55438 0.104 0.000 0.072 0.000 0.644 0.180
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 5 0.0508 0.86034 0.004 0.000 0.000 0.012 0.984 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 6 0.2366 0.82159 0.056 0.000 0.024 0.000 0.020 0.900
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.2730 0.80999 0.808 0.000 0.000 0.000 0.192 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 6 0.2712 0.78584 0.000 0.000 0.048 0.000 0.088 0.864
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 6 0.2378 0.79003 0.000 0.000 0.152 0.000 0.000 0.848
#> 6D960AE7-3769-4144-A061-E8588E5063FF 5 0.1970 0.82644 0.092 0.000 0.008 0.000 0.900 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 6 0.0865 0.83719 0.000 0.000 0.036 0.000 0.000 0.964
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.3050 0.54704 0.000 0.236 0.000 0.764 0.000 0.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.91688 0.000 1.000 0.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0260 0.91707 0.000 0.992 0.008 0.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 4 0.6026 0.27684 0.048 0.316 0.068 0.556 0.008 0.004
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 5 0.0146 0.85886 0.004 0.000 0.000 0.000 0.996 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 5 0.0914 0.84329 0.016 0.000 0.016 0.000 0.968 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.2568 0.84816 0.876 0.000 0.000 0.068 0.056 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.3394 0.83709 0.804 0.000 0.000 0.052 0.144 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 5 0.0520 0.86164 0.008 0.000 0.000 0.008 0.984 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.3292 0.81494 0.060 0.840 0.088 0.000 0.008 0.004
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.1957 0.84340 0.000 0.888 0.112 0.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.3568 0.79516 0.080 0.820 0.088 0.000 0.008 0.004
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0146 0.91642 0.000 0.996 0.004 0.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.3680 0.71178 0.744 0.000 0.020 0.000 0.232 0.004
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 5 0.2260 0.77018 0.140 0.000 0.000 0.000 0.860 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.5316 -0.00425 0.000 0.480 0.104 0.000 0.000 0.416
#> 0099098D-354A-4276-92F8-B932C74B4608 5 0.0363 0.86205 0.012 0.000 0.000 0.000 0.988 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0363 0.91732 0.000 0.988 0.012 0.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.1237 0.90382 0.020 0.956 0.020 0.000 0.000 0.004
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 6 0.2178 0.80463 0.000 0.000 0.132 0.000 0.000 0.868
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0146 0.91722 0.000 0.996 0.004 0.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0713 0.90918 0.000 0.972 0.028 0.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 6 0.1010 0.83758 0.004 0.000 0.036 0.000 0.000 0.960
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.91688 0.000 1.000 0.000 0.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 5 0.3482 0.46965 0.316 0.000 0.000 0.000 0.684 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 6 0.2826 0.79724 0.000 0.000 0.128 0.000 0.028 0.844
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 5 0.0603 0.84975 0.004 0.000 0.016 0.000 0.980 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.2203 0.81529 0.896 0.000 0.000 0.004 0.016 0.084
#> D005833F-E991-4E9E-9667-55F137288004 1 0.2730 0.78424 0.808 0.000 0.000 0.192 0.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.3717 0.21295 0.384 0.000 0.000 0.616 0.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 5 0.2793 0.69100 0.200 0.000 0.000 0.000 0.800 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 6 0.4509 0.55961 0.084 0.196 0.008 0.000 0.000 0.712
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.2046 0.89624 0.000 0.032 0.908 0.000 0.000 0.060
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0146 0.91642 0.000 0.996 0.004 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 5 0.2797 0.80894 0.036 0.000 0.016 0.000 0.872 0.076
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 5 0.0000 0.86017 0.000 0.000 0.000 0.000 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 5 0.0260 0.86250 0.008 0.000 0.000 0.000 0.992 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.1010 0.90444 0.000 0.960 0.004 0.000 0.000 0.036
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.4671 0.63436 0.208 0.696 0.088 0.000 0.004 0.004
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 5 0.5190 0.41330 0.352 0.000 0.088 0.000 0.556 0.004
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0363 0.91452 0.000 0.988 0.012 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.5714 0.14374 0.432 0.000 0.004 0.000 0.140 0.424
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.3708 0.75736 0.080 0.800 0.008 0.000 0.000 0.112
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.3078 0.83978 0.836 0.000 0.000 0.000 0.108 0.056
#> 41183565-434D-474C-B1BD-CA6E94910658 6 0.2366 0.81268 0.056 0.024 0.020 0.000 0.000 0.900
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.3210 0.81949 0.812 0.000 0.000 0.152 0.036 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.2325 0.84704 0.892 0.000 0.000 0.060 0.048 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 5 0.3950 0.20044 0.000 0.000 0.000 0.004 0.564 0.432
#> A330E011-CE08-4A85-8F4B-370592293DBB 5 0.0260 0.86250 0.008 0.000 0.000 0.000 0.992 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.2237 0.83011 0.896 0.000 0.000 0.000 0.036 0.068
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0363 0.91644 0.000 0.988 0.012 0.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.2095 0.86923 0.016 0.904 0.076 0.000 0.000 0.004
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.2871 0.78733 0.804 0.000 0.000 0.192 0.004 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0260 0.91705 0.000 0.992 0.008 0.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.3390 0.68261 0.704 0.000 0.000 0.000 0.296 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0937 0.90391 0.000 0.960 0.040 0.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.1714 0.86396 0.000 0.908 0.092 0.000 0.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.1946 0.81309 0.912 0.000 0.000 0.012 0.004 0.072
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.2755 0.82411 0.012 0.844 0.140 0.000 0.000 0.004
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0458 0.91568 0.000 0.984 0.016 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.1078 0.82754 0.964 0.000 0.000 0.012 0.016 0.008
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0260 0.91718 0.000 0.992 0.008 0.000 0.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0146 0.91717 0.000 0.996 0.004 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.2009 0.89109 0.000 0.024 0.908 0.000 0.000 0.068
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0547 0.91431 0.000 0.980 0.020 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.2838 0.78913 0.808 0.000 0.000 0.188 0.004 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0260 0.91705 0.000 0.992 0.008 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0692 0.91141 0.000 0.976 0.020 0.004 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0146 0.91642 0.000 0.996 0.004 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 6 0.1141 0.83501 0.000 0.000 0.052 0.000 0.000 0.948
#> A716BC29-161F-4CA0-B240-00B330137F2C 5 0.3782 0.18204 0.412 0.000 0.000 0.000 0.588 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0458 0.89957 0.016 0.000 0.000 0.984 0.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.6187 0.45456 0.088 0.584 0.092 0.000 0.004 0.232
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.3221 0.73373 0.736 0.000 0.000 0.000 0.264 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.0790 0.88280 0.000 0.000 0.000 0.968 0.032 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0363 0.91452 0.000 0.988 0.012 0.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.3592 0.43523 0.656 0.000 0.000 0.000 0.000 0.344
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0260 0.91705 0.000 0.992 0.008 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0146 0.91722 0.000 0.996 0.004 0.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 5 0.7449 0.25780 0.064 0.000 0.052 0.212 0.472 0.200
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.2558 0.83174 0.840 0.000 0.000 0.004 0.156 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.3221 0.63631 0.000 0.736 0.264 0.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 5 0.0547 0.85982 0.020 0.000 0.000 0.000 0.980 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0458 0.91556 0.000 0.984 0.016 0.000 0.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.1983 0.88586 0.000 0.020 0.908 0.000 0.000 0.072
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0146 0.91677 0.000 0.996 0.000 0.004 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0547 0.91431 0.000 0.980 0.020 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.91252 0.000 0.000 0.000 1.000 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 5 0.0146 0.86173 0.004 0.000 0.000 0.000 0.996 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.6188 0.48208 0.128 0.000 0.088 0.000 0.588 0.196
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.3407 0.80722 0.068 0.832 0.088 0.000 0.008 0.004
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.2762 0.72677 0.000 0.000 0.000 0.196 0.804 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2030 0.82705 0.908 0.000 0.000 0.000 0.028 0.064
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.3969 0.48427 0.000 0.652 0.016 0.332 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0603 0.91462 0.000 0.980 0.004 0.016 0.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 5 0.0146 0.86173 0.004 0.000 0.000 0.000 0.996 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.3982 0.75435 0.116 0.060 0.032 0.000 0.000 0.792
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2823 0.80002 0.796 0.000 0.000 0.000 0.204 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "hclust"]
# you can also extract it by
# res = res_list["CV:hclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 18133 rows and 198 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 0.269 0.744 0.833 0.4592 0.503 0.503
#> 3 3 0.343 0.678 0.785 0.1886 0.897 0.808
#> 4 4 0.484 0.653 0.812 0.1584 0.950 0.894
#> 5 5 0.514 0.534 0.764 0.0938 0.926 0.827
#> 6 6 0.585 0.503 0.715 0.0627 0.886 0.691
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.7602 0.8045 0.220 0.780
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.3114 0.8608 0.944 0.056
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.7602 0.8051 0.220 0.780
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.8712 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.6712 0.7987 0.176 0.824
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.2778 0.8648 0.952 0.048
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.7376 0.8088 0.208 0.792
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.9754 0.5958 0.408 0.592
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 1 0.9970 -0.1481 0.532 0.468
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.4161 0.8262 0.916 0.084
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0376 0.8701 0.996 0.004
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.3584 0.8533 0.932 0.068
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.3584 0.7141 0.068 0.932
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.9754 0.5958 0.408 0.592
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.9754 0.5958 0.408 0.592
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.2603 0.8555 0.956 0.044
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.7453 0.8085 0.212 0.788
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.2778 0.8684 0.952 0.048
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.7674 0.8027 0.224 0.776
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.6048 0.7646 0.148 0.852
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.3584 0.8533 0.932 0.068
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.9552 0.6621 0.376 0.624
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.5294 0.7946 0.880 0.120
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0672 0.8725 0.992 0.008
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2603 0.8665 0.956 0.044
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.7376 0.8081 0.208 0.792
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.8813 0.5740 0.700 0.300
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.2778 0.8684 0.952 0.048
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4298 0.8301 0.912 0.088
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.4161 0.8334 0.916 0.084
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.9491 0.6745 0.368 0.632
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.2778 0.8648 0.952 0.048
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.7950 0.6504 0.240 0.760
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.1184 0.8647 0.984 0.016
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.1184 0.8686 0.984 0.016
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0376 0.8701 0.996 0.004
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.7528 0.8062 0.216 0.784
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.7219 0.8061 0.200 0.800
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.3114 0.8608 0.944 0.056
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.3584 0.8533 0.932 0.068
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.3114 0.8608 0.944 0.056
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.7376 0.8081 0.208 0.792
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.9710 0.3465 0.400 0.600
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.7376 0.8081 0.208 0.792
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.8861 0.5605 0.304 0.696
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.3114 0.8608 0.944 0.056
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.3114 0.8608 0.944 0.056
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.7453 0.8072 0.212 0.788
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.7376 0.8081 0.208 0.792
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.7219 0.7976 0.200 0.800
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.2043 0.8717 0.968 0.032
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0672 0.8725 0.992 0.008
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.8712 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.1633 0.8719 0.976 0.024
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.8763 0.5803 0.704 0.296
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.8207 0.6277 0.256 0.744
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.3584 0.8533 0.932 0.068
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.3584 0.8533 0.932 0.068
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.8207 0.6337 0.256 0.744
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.9491 0.4215 0.368 0.632
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.8712 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.9000 0.5482 0.684 0.316
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.3584 0.7141 0.068 0.932
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0672 0.8725 0.992 0.008
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.7299 0.8083 0.204 0.796
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.1184 0.8647 0.984 0.016
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.3114 0.8649 0.944 0.056
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.7376 0.8088 0.208 0.792
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.3733 0.7198 0.072 0.928
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.5842 0.7643 0.140 0.860
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.8443 0.7476 0.272 0.728
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.3584 0.8533 0.932 0.068
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.1414 0.8731 0.980 0.020
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.8081 0.7834 0.248 0.752
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.6048 0.7697 0.852 0.148
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0376 0.8701 0.996 0.004
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.7950 0.6504 0.240 0.760
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.7602 0.8043 0.220 0.780
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.3584 0.8533 0.932 0.068
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.7376 0.8081 0.208 0.792
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.3274 0.8683 0.940 0.060
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.7376 0.8081 0.208 0.792
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.7376 0.8081 0.208 0.792
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.3584 0.7141 0.068 0.932
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.5294 0.7946 0.880 0.120
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.2948 0.8673 0.948 0.052
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0672 0.8725 0.992 0.008
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.9970 -0.1481 0.532 0.468
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.5294 0.7964 0.880 0.120
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.1633 0.8719 0.976 0.024
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.7745 0.6766 0.772 0.228
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.9000 0.5482 0.684 0.316
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.5294 0.7946 0.880 0.120
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.8207 0.6277 0.256 0.744
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 1 0.9977 -0.1640 0.528 0.472
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.7528 0.8062 0.216 0.784
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.7299 0.7170 0.204 0.796
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 1 0.9795 0.0657 0.584 0.416
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1414 0.8731 0.980 0.020
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.1414 0.8706 0.980 0.020
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.2948 0.8667 0.948 0.052
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.3584 0.8533 0.932 0.068
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0672 0.8725 0.992 0.008
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.3584 0.7141 0.068 0.932
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.7376 0.8081 0.208 0.792
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.3584 0.7141 0.068 0.932
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.7376 0.8081 0.208 0.792
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.5294 0.7964 0.880 0.120
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.1184 0.8729 0.984 0.016
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.7815 0.6562 0.232 0.768
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0376 0.8701 0.996 0.004
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.7376 0.8081 0.208 0.792
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.7674 0.7127 0.224 0.776
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.9000 0.5482 0.684 0.316
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.7376 0.8081 0.208 0.792
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.7376 0.8081 0.208 0.792
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.7950 0.6491 0.240 0.760
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.3584 0.8533 0.932 0.068
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.3584 0.8533 0.932 0.068
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.7674 0.8027 0.224 0.776
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0672 0.8725 0.992 0.008
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.8555 0.6057 0.720 0.280
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.1414 0.8683 0.980 0.020
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.2948 0.8719 0.948 0.052
#> D005833F-E991-4E9E-9667-55F137288004 1 0.3584 0.8533 0.932 0.068
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.3584 0.8533 0.932 0.068
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.2043 0.8705 0.968 0.032
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.8267 0.6654 0.260 0.740
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.9754 0.5958 0.408 0.592
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.7376 0.8081 0.208 0.792
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.2948 0.8635 0.948 0.052
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.1414 0.8644 0.980 0.020
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.1414 0.8644 0.980 0.020
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.3584 0.7141 0.068 0.932
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.9815 0.5151 0.420 0.580
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.4161 0.8262 0.916 0.084
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.7376 0.8081 0.208 0.792
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.7745 0.6766 0.772 0.228
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.8144 0.6318 0.252 0.748
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.2043 0.8704 0.968 0.032
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.7056 0.7221 0.192 0.808
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.3584 0.8533 0.932 0.068
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.3584 0.8533 0.932 0.068
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.7376 0.7026 0.792 0.208
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.8712 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.2236 0.8722 0.964 0.036
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.7376 0.8088 0.208 0.792
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.7674 0.8027 0.224 0.776
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.3584 0.8533 0.932 0.068
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.7376 0.8081 0.208 0.792
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.1843 0.8714 0.972 0.028
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.8608 0.7492 0.284 0.716
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.7453 0.7176 0.212 0.788
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 1 0.9970 -0.1481 0.532 0.468
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.5408 0.7886 0.876 0.124
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.7453 0.8069 0.212 0.788
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.7376 0.8081 0.208 0.792
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.5629 0.7824 0.868 0.132
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.8081 0.7505 0.248 0.752
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.7376 0.8081 0.208 0.792
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.9754 0.5958 0.408 0.592
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.7376 0.8081 0.208 0.792
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.3431 0.8626 0.936 0.064
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.8443 0.7581 0.272 0.728
#> 642703B1-AF99-4746-A915-0792F4B9590B 1 0.9996 -0.2243 0.512 0.488
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.7376 0.8081 0.208 0.792
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.8207 0.6277 0.256 0.744
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2423 0.8682 0.960 0.040
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.3584 0.8533 0.932 0.068
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 1 0.9970 -0.1481 0.532 0.468
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.9970 -0.1481 0.532 0.468
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.3584 0.7141 0.068 0.932
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.2043 0.8705 0.968 0.032
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.1184 0.8647 0.984 0.016
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.7602 0.7949 0.220 0.780
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.5629 0.7827 0.868 0.132
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.7376 0.8081 0.208 0.792
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.5294 0.7610 0.120 0.880
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.5294 0.7946 0.880 0.120
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.2603 0.8727 0.956 0.044
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.7376 0.8081 0.208 0.792
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.1184 0.8729 0.984 0.016
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.8081 0.7328 0.248 0.752
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.3584 0.8533 0.932 0.068
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.9754 0.5958 0.408 0.592
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.9732 0.5564 0.404 0.596
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.7376 0.8081 0.208 0.792
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.3584 0.8533 0.932 0.068
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.8712 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.5294 0.7964 0.880 0.120
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.8499 0.7643 0.276 0.724
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.2236 0.8586 0.964 0.036
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.3114 0.8608 0.944 0.056
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.9552 0.6596 0.376 0.624
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.9998 0.2847 0.492 0.508
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.8712 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.9608 0.4733 0.384 0.616
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2236 0.8696 0.964 0.036
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.4782 0.7470 0.164 0.820 0.016
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.2261 0.8384 0.932 0.068 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.4782 0.7471 0.164 0.820 0.016
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0237 0.8489 0.996 0.000 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.5307 0.7243 0.124 0.820 0.056
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.2096 0.8484 0.944 0.052 0.004
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.4233 0.7482 0.160 0.836 0.004
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.9072 0.5549 0.192 0.548 0.260
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.8039 0.3479 0.428 0.508 0.064
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.4033 0.6879 0.856 0.008 0.136
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0237 0.8478 0.996 0.000 0.004
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.3375 0.8073 0.892 0.100 0.008
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.5905 0.4089 0.000 0.648 0.352
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.9072 0.5549 0.192 0.548 0.260
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.9072 0.5549 0.192 0.548 0.260
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.3832 0.7419 0.880 0.020 0.100
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.4413 0.7481 0.160 0.832 0.008
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.2564 0.8355 0.936 0.036 0.028
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.4840 0.7461 0.168 0.816 0.016
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.5519 0.6548 0.068 0.812 0.120
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.3454 0.8028 0.888 0.104 0.008
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.8638 0.6147 0.184 0.600 0.216
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.5122 0.5368 0.788 0.012 0.200
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0424 0.8528 0.992 0.008 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2173 0.8504 0.944 0.048 0.008
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.4062 0.7482 0.164 0.836 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.7102 0.7847 0.420 0.024 0.556
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.2200 0.8485 0.940 0.056 0.004
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4665 0.7081 0.852 0.048 0.100
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.4527 0.7249 0.860 0.052 0.088
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.8518 0.6267 0.180 0.612 0.208
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.2096 0.8484 0.944 0.052 0.004
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.7214 0.4174 0.044 0.632 0.324
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.1015 0.8375 0.980 0.008 0.012
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.1015 0.8444 0.980 0.012 0.008
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0237 0.8478 0.996 0.000 0.004
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.4634 0.7477 0.164 0.824 0.012
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.4411 0.7408 0.140 0.844 0.016
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.2261 0.8384 0.932 0.068 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.2878 0.8163 0.904 0.096 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.2680 0.8403 0.924 0.068 0.008
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.4473 0.7475 0.164 0.828 0.008
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.9601 -0.0652 0.216 0.456 0.328
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.4062 0.7482 0.164 0.836 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.8390 0.2901 0.100 0.560 0.340
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.2680 0.8403 0.924 0.068 0.008
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.2680 0.8403 0.924 0.068 0.008
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.4293 0.7477 0.164 0.832 0.004
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.4293 0.7477 0.164 0.832 0.004
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.5998 0.7175 0.128 0.788 0.084
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.1711 0.8556 0.960 0.032 0.008
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0424 0.8527 0.992 0.008 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.8497 1.000 0.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.1031 0.8548 0.976 0.024 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.7262 0.7532 0.444 0.028 0.528
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.7514 0.3826 0.056 0.616 0.328
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.3454 0.8028 0.888 0.104 0.008
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.3454 0.8028 0.888 0.104 0.008
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.7514 0.3957 0.056 0.616 0.328
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.8223 0.1442 0.108 0.288 0.604
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0237 0.8489 0.996 0.000 0.004
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.6648 0.8185 0.364 0.016 0.620
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.5905 0.4089 0.000 0.648 0.352
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0424 0.8528 0.992 0.008 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.4002 0.7482 0.160 0.840 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.1015 0.8375 0.980 0.008 0.012
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.2584 0.8445 0.928 0.064 0.008
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.4575 0.7480 0.160 0.828 0.012
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.6047 0.4574 0.008 0.680 0.312
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.5229 0.6580 0.068 0.828 0.104
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.7431 0.6334 0.116 0.696 0.188
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.3454 0.8028 0.888 0.104 0.008
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.1636 0.8496 0.964 0.016 0.020
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.4912 0.7277 0.196 0.796 0.008
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.5811 0.5396 0.800 0.092 0.108
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0237 0.8478 0.996 0.000 0.004
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.7214 0.4174 0.044 0.632 0.324
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.4840 0.7464 0.168 0.816 0.016
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.3454 0.8028 0.888 0.104 0.008
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.4062 0.7482 0.164 0.836 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.2903 0.8442 0.924 0.048 0.028
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.4062 0.7482 0.164 0.836 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.4062 0.7482 0.164 0.836 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.4842 0.5407 0.000 0.776 0.224
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.5122 0.5368 0.788 0.012 0.200
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.3802 0.8157 0.888 0.080 0.032
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0424 0.8528 0.992 0.008 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.8039 0.3479 0.428 0.508 0.064
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.5156 0.5099 0.776 0.008 0.216
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.1031 0.8548 0.976 0.024 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.7979 -0.1888 0.628 0.100 0.272
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.6648 0.8185 0.364 0.016 0.620
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.5122 0.5368 0.788 0.012 0.200
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.7559 0.3751 0.056 0.608 0.336
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.7962 0.3518 0.428 0.512 0.060
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.4634 0.7477 0.164 0.824 0.012
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.6847 0.5516 0.060 0.708 0.232
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 1 0.7752 -0.1667 0.496 0.456 0.048
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1774 0.8477 0.960 0.016 0.024
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.1337 0.8473 0.972 0.016 0.012
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.2947 0.8477 0.920 0.060 0.020
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.2878 0.8163 0.904 0.096 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0424 0.8528 0.992 0.008 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.5905 0.4089 0.000 0.648 0.352
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.4062 0.7482 0.164 0.836 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.5905 0.4089 0.000 0.648 0.352
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.4062 0.7482 0.164 0.836 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.5156 0.5099 0.776 0.008 0.216
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0829 0.8533 0.984 0.012 0.004
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.7190 0.4234 0.044 0.636 0.320
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0237 0.8478 0.996 0.000 0.004
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.4062 0.7482 0.164 0.836 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.6939 0.5619 0.072 0.712 0.216
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.6648 0.8185 0.364 0.016 0.620
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.4062 0.7482 0.164 0.836 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.4062 0.7482 0.164 0.836 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.7238 0.4127 0.044 0.628 0.328
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.3454 0.8028 0.888 0.104 0.008
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.3454 0.8028 0.888 0.104 0.008
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.4840 0.7461 0.168 0.816 0.016
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0424 0.8527 0.992 0.008 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.7286 0.7126 0.464 0.028 0.508
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.2339 0.8235 0.940 0.012 0.048
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.2446 0.8520 0.936 0.052 0.012
#> D005833F-E991-4E9E-9667-55F137288004 1 0.2878 0.8163 0.904 0.096 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.3454 0.8028 0.888 0.104 0.008
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.1525 0.8548 0.964 0.032 0.004
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.7713 0.4861 0.096 0.656 0.248
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.9072 0.5549 0.192 0.548 0.260
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.4062 0.7482 0.164 0.836 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.2918 0.8197 0.924 0.032 0.044
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.1711 0.8267 0.960 0.008 0.032
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.1711 0.8267 0.960 0.008 0.032
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.4842 0.5407 0.000 0.776 0.224
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.7741 0.3937 0.376 0.568 0.056
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.4033 0.6879 0.856 0.008 0.136
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.4062 0.7482 0.164 0.836 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.7979 -0.1905 0.628 0.100 0.272
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.7425 0.3875 0.052 0.620 0.328
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.1999 0.8550 0.952 0.036 0.012
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.6728 0.5748 0.080 0.736 0.184
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.2878 0.8163 0.904 0.096 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.2878 0.8163 0.904 0.096 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.7778 -0.0403 0.656 0.104 0.240
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.8497 1.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.2918 0.8423 0.924 0.032 0.044
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.4233 0.7482 0.160 0.836 0.004
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.4840 0.7461 0.168 0.816 0.016
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.3454 0.8028 0.888 0.104 0.008
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.4293 0.7477 0.164 0.832 0.004
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.1585 0.8552 0.964 0.028 0.008
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.5967 0.7051 0.216 0.752 0.032
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.6847 0.5558 0.060 0.708 0.232
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.8039 0.3479 0.428 0.508 0.064
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.4399 0.6611 0.864 0.092 0.044
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.5236 0.7421 0.168 0.804 0.028
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.4062 0.7482 0.164 0.836 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.4982 0.6238 0.840 0.096 0.064
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.7133 0.6363 0.096 0.712 0.192
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.4062 0.7482 0.164 0.836 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.9072 0.5549 0.192 0.548 0.260
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.4062 0.7482 0.164 0.836 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.2845 0.8424 0.920 0.068 0.012
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.5792 0.7167 0.192 0.772 0.036
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.7931 0.3822 0.412 0.528 0.060
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.4062 0.7482 0.164 0.836 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.7559 0.3751 0.056 0.608 0.336
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2063 0.8521 0.948 0.044 0.008
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.3454 0.8028 0.888 0.104 0.008
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.8039 0.3479 0.428 0.508 0.064
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.8039 0.3479 0.428 0.508 0.064
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.5905 0.4089 0.000 0.648 0.352
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.1525 0.8548 0.964 0.032 0.004
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0848 0.8392 0.984 0.008 0.008
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.6363 0.7125 0.136 0.768 0.096
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.4807 0.6407 0.848 0.092 0.060
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.4062 0.7482 0.164 0.836 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4966 0.6564 0.060 0.840 0.100
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.5072 0.5408 0.792 0.012 0.196
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.2229 0.8535 0.944 0.044 0.012
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.4782 0.7464 0.164 0.820 0.016
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.1015 0.8537 0.980 0.012 0.008
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.7474 0.5944 0.100 0.684 0.216
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.3375 0.8073 0.892 0.100 0.008
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.9072 0.5549 0.192 0.548 0.260
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.7417 0.5698 0.312 0.632 0.056
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.5053 0.7448 0.164 0.812 0.024
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.3454 0.8028 0.888 0.104 0.008
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0237 0.8489 0.996 0.000 0.004
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.5156 0.5099 0.776 0.008 0.216
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.5803 0.7154 0.212 0.760 0.028
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.2998 0.7851 0.916 0.016 0.068
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2680 0.8403 0.924 0.068 0.008
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.8350 0.6418 0.196 0.628 0.176
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.7809 0.4148 0.396 0.548 0.056
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0237 0.8489 0.996 0.000 0.004
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.9006 0.2630 0.256 0.556 0.188
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1950 0.8542 0.952 0.040 0.008
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0592 0.7240 0.000 0.984 0.016 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.3488 0.8075 0.864 0.108 0.008 0.020
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.1114 0.7238 0.004 0.972 0.016 0.008
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1526 0.8295 0.960 0.016 0.012 0.012
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.3329 0.6811 0.004 0.880 0.044 0.072
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3504 0.8286 0.872 0.084 0.036 0.008
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0707 0.7219 0.000 0.980 0.000 0.020
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.6350 0.4527 0.000 0.612 0.296 0.092
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.7073 0.3947 0.200 0.632 0.144 0.024
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.4019 0.6691 0.792 0.000 0.196 0.012
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.1271 0.8271 0.968 0.012 0.008 0.012
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.4409 0.7617 0.804 0.160 0.012 0.024
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 4 0.1716 0.8528 0.000 0.064 0.000 0.936
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.6350 0.4527 0.000 0.612 0.296 0.092
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.6350 0.4527 0.000 0.612 0.296 0.092
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.3501 0.7435 0.848 0.000 0.132 0.020
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0895 0.7220 0.000 0.976 0.004 0.020
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.3770 0.8125 0.868 0.032 0.072 0.028
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#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.4409 0.7617 0.804 0.160 0.012 0.024
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.6350 0.4527 0.000 0.612 0.296 0.092
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.5390 0.5806 0.120 0.776 0.076 0.028
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.1022 0.7160 0.000 0.968 0.000 0.032
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.4545 0.7479 0.792 0.172 0.012 0.024
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.1648 0.8284 0.956 0.016 0.016 0.012
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.4844 0.4975 0.688 0.000 0.300 0.012
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.3211 0.6676 0.084 0.884 0.024 0.008
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.2563 0.7912 0.908 0.000 0.072 0.020
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.4436 0.8127 0.828 0.108 0.040 0.024
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.6732 0.5268 0.020 0.652 0.216 0.112
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.6685 0.4386 0.172 0.672 0.132 0.024
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.1648 0.8284 0.956 0.016 0.016 0.012
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.9454 0.0652 0.192 0.428 0.200 0.180
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.3687 0.8308 0.868 0.072 0.048 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0671 0.6968 0.004 0.980 0.016 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.4128 0.6845 0.800 0.080 0.008 0.000 0.112
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.1026 0.6939 0.004 0.968 0.024 0.000 0.004
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.2929 0.6874 0.856 0.012 0.000 0.004 0.128
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.2796 0.5915 0.008 0.868 0.116 0.008 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3779 0.6967 0.816 0.056 0.004 0.000 0.124
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0566 0.6897 0.000 0.984 0.012 0.004 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.5051 -0.1663 0.004 0.492 0.480 0.000 0.024
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.6544 0.3916 0.156 0.624 0.152 0.000 0.068
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.4307 -0.2099 0.504 0.000 0.000 0.000 0.496
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.2722 0.6813 0.868 0.008 0.000 0.004 0.120
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.5072 0.6433 0.736 0.108 0.012 0.004 0.140
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 4 0.0807 0.8806 0.000 0.012 0.012 0.976 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.5051 -0.1663 0.004 0.492 0.480 0.000 0.024
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.5051 -0.1663 0.004 0.492 0.480 0.000 0.024
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.4905 0.4991 0.712 0.000 0.056 0.012 0.220
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0671 0.6894 0.000 0.980 0.016 0.004 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4865 0.5766 0.712 0.020 0.028 0.004 0.236
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0932 0.6951 0.004 0.972 0.020 0.000 0.004
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.4347 0.2623 0.000 0.716 0.256 0.024 0.004
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.5246 0.6303 0.720 0.116 0.012 0.004 0.148
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.4822 -0.0936 0.004 0.540 0.444 0.004 0.008
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.4782 0.3789 0.440 0.000 0.008 0.008 0.544
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.2366 0.7182 0.908 0.016 0.004 0.004 0.068
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.3983 0.6764 0.784 0.052 0.000 0.000 0.164
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 5 0.5851 0.5442 0.104 0.000 0.320 0.004 0.572
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.4181 0.7083 0.788 0.076 0.004 0.000 0.132
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.6076 0.0394 0.540 0.012 0.080 0.004 0.364
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.6017 0.0767 0.548 0.012 0.076 0.004 0.360
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4792 -0.0484 0.004 0.560 0.424 0.004 0.008
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.3826 0.6944 0.812 0.056 0.004 0.000 0.128
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.4640 0.8253 0.000 0.400 0.584 0.016 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.2583 0.6674 0.864 0.000 0.000 0.004 0.132
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.2392 0.6999 0.888 0.004 0.000 0.004 0.104
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.2621 0.6864 0.876 0.008 0.000 0.004 0.112
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0566 0.6975 0.004 0.984 0.012 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.1364 0.6583 0.000 0.952 0.036 0.012 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.4128 0.6845 0.800 0.080 0.008 0.000 0.112
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.4924 0.6529 0.744 0.108 0.008 0.004 0.136
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.4210 0.6881 0.784 0.072 0.004 0.000 0.140
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0486 0.6978 0.004 0.988 0.004 0.004 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.7086 0.6283 0.068 0.232 0.568 0.008 0.124
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.5696 0.8026 0.000 0.304 0.612 0.020 0.064
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.4210 0.6881 0.784 0.072 0.004 0.000 0.140
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.4210 0.6881 0.784 0.072 0.004 0.000 0.140
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0324 0.6984 0.004 0.992 0.004 0.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0324 0.6984 0.004 0.992 0.004 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.3536 0.5388 0.008 0.824 0.148 0.016 0.004
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.3265 0.7166 0.860 0.040 0.012 0.000 0.088
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.2228 0.7139 0.908 0.012 0.000 0.004 0.076
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.2733 0.6987 0.872 0.012 0.000 0.004 0.112
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.2570 0.7223 0.888 0.028 0.000 0.000 0.084
#> C775B68F-9507-47E3-B507-B433AED79002 5 0.5944 0.5607 0.116 0.000 0.312 0.004 0.568
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.5231 0.8478 0.000 0.356 0.600 0.024 0.020
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.5246 0.6303 0.720 0.116 0.012 0.004 0.148
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.5246 0.6303 0.720 0.116 0.012 0.004 0.148
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.4965 0.8405 0.000 0.384 0.588 0.016 0.012
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.6036 0.1498 0.000 0.144 0.548 0.000 0.308
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.2976 0.6891 0.852 0.012 0.000 0.004 0.132
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 5 0.5278 0.4611 0.052 0.000 0.344 0.004 0.600
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 4 0.0807 0.8806 0.000 0.012 0.012 0.976 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.2366 0.7165 0.908 0.016 0.004 0.004 0.068
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.6970 0.000 1.000 0.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.2583 0.6674 0.864 0.000 0.000 0.004 0.132
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.3950 0.6936 0.796 0.068 0.000 0.000 0.136
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0798 0.6893 0.000 0.976 0.016 0.008 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 4 0.3123 0.7534 0.000 0.160 0.012 0.828 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.4061 0.2972 0.004 0.740 0.240 0.016 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.4613 -0.1818 0.000 0.620 0.360 0.020 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.5246 0.6303 0.720 0.116 0.012 0.004 0.148
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.3320 0.6569 0.820 0.012 0.000 0.004 0.164
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.1525 0.6803 0.012 0.948 0.036 0.000 0.004
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.5611 0.4729 0.672 0.000 0.164 0.012 0.152
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.2672 0.6913 0.872 0.008 0.000 0.004 0.116
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.4610 0.8336 0.000 0.388 0.596 0.016 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0994 0.6960 0.004 0.972 0.016 0.004 0.004
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.5246 0.6303 0.720 0.116 0.012 0.004 0.148
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.4090 0.7088 0.824 0.036 0.044 0.004 0.092
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 4 0.4732 0.7254 0.000 0.144 0.108 0.744 0.004
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 5 0.4657 0.5253 0.380 0.000 0.008 0.008 0.604
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.5510 0.6416 0.700 0.092 0.012 0.012 0.184
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.2366 0.7182 0.908 0.016 0.004 0.004 0.068
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.6544 0.3916 0.156 0.624 0.152 0.000 0.068
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 5 0.4354 0.5533 0.368 0.000 0.008 0.000 0.624
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.2628 0.7234 0.884 0.028 0.000 0.000 0.088
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.7119 -0.3417 0.412 0.000 0.264 0.016 0.308
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 5 0.5278 0.4611 0.052 0.000 0.344 0.004 0.600
#> 6D960AE7-3769-4144-A061-E8588E5063FF 5 0.4709 0.4889 0.400 0.000 0.008 0.008 0.584
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.5136 0.8469 0.000 0.352 0.608 0.020 0.020
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.6509 0.3946 0.156 0.628 0.148 0.000 0.068
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0566 0.6975 0.004 0.984 0.012 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.4824 -0.5592 0.000 0.512 0.468 0.020 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.7361 0.2380 0.264 0.512 0.112 0.000 0.112
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.3123 0.6634 0.828 0.012 0.000 0.000 0.160
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.3530 0.6328 0.784 0.012 0.000 0.000 0.204
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.5082 0.6331 0.680 0.072 0.004 0.000 0.244
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.4881 0.6552 0.748 0.108 0.008 0.004 0.132
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.2366 0.7195 0.908 0.016 0.004 0.004 0.068
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 4 0.0807 0.8806 0.000 0.012 0.012 0.976 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 4 0.0807 0.8806 0.000 0.012 0.012 0.976 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 5 0.4341 0.5579 0.364 0.000 0.008 0.000 0.628
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.2102 0.7144 0.916 0.012 0.000 0.004 0.068
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.4666 0.8061 0.000 0.412 0.572 0.016 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.2570 0.6876 0.880 0.008 0.000 0.004 0.108
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.5701 -0.5357 0.004 0.500 0.444 0.020 0.032
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 5 0.5278 0.4611 0.052 0.000 0.344 0.004 0.600
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.4779 0.8300 0.000 0.396 0.584 0.016 0.004
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.5246 0.6303 0.720 0.116 0.012 0.004 0.148
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.5246 0.6303 0.720 0.116 0.012 0.004 0.148
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0932 0.6951 0.004 0.972 0.020 0.000 0.004
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.2289 0.7109 0.904 0.012 0.000 0.004 0.080
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 5 0.6115 0.5708 0.136 0.000 0.308 0.004 0.552
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.3734 0.6007 0.780 0.004 0.008 0.004 0.204
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.3468 0.7227 0.856 0.040 0.016 0.004 0.084
#> D005833F-E991-4E9E-9667-55F137288004 1 0.4924 0.6529 0.744 0.108 0.008 0.004 0.136
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.5246 0.6303 0.720 0.116 0.012 0.004 0.148
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.2934 0.7232 0.880 0.036 0.004 0.004 0.076
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.6153 0.6732 0.012 0.436 0.484 0.020 0.048
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.5051 -0.1663 0.004 0.492 0.480 0.000 0.024
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.4983 0.5245 0.692 0.016 0.032 0.004 0.256
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.3231 0.6050 0.800 0.000 0.000 0.004 0.196
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.3231 0.6050 0.800 0.000 0.000 0.004 0.196
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 4 0.4732 0.7254 0.000 0.144 0.108 0.744 0.004
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.7379 0.0461 0.232 0.536 0.096 0.004 0.132
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.4302 -0.1514 0.520 0.000 0.000 0.000 0.480
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.6991 -0.2424 0.460 0.000 0.260 0.016 0.264
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.5157 0.8475 0.000 0.360 0.600 0.024 0.016
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.3731 0.6818 0.800 0.040 0.000 0.000 0.160
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.5471 -0.2329 0.016 0.584 0.368 0.016 0.016
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.4924 0.6529 0.744 0.108 0.008 0.004 0.136
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.4924 0.6529 0.744 0.108 0.008 0.004 0.136
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.6866 -0.1440 0.492 0.000 0.252 0.016 0.240
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.2881 0.6930 0.860 0.012 0.000 0.004 0.124
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.5380 0.5369 0.656 0.048 0.016 0.004 0.276
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0566 0.6897 0.000 0.984 0.012 0.004 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.1179 0.6928 0.004 0.964 0.016 0.000 0.016
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.5285 0.6300 0.716 0.116 0.012 0.004 0.152
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0324 0.6984 0.004 0.992 0.004 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.3273 0.7147 0.848 0.036 0.004 0.000 0.112
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.2568 0.6587 0.024 0.900 0.064 0.000 0.012
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.4826 -0.5610 0.000 0.508 0.472 0.020 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.6544 0.3916 0.156 0.624 0.152 0.000 0.068
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.5377 0.5091 0.704 0.004 0.108 0.012 0.172
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.1363 0.6859 0.004 0.956 0.004 0.032 0.004
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.6115 0.2527 0.596 0.004 0.112 0.012 0.276
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.4748 -0.2264 0.000 0.596 0.384 0.016 0.004
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.5051 -0.1663 0.004 0.492 0.480 0.000 0.024
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.4188 0.6882 0.800 0.080 0.012 0.000 0.108
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.2124 0.6362 0.000 0.900 0.096 0.000 0.004
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.6345 0.4102 0.148 0.644 0.144 0.000 0.064
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.5136 0.8469 0.000 0.352 0.608 0.020 0.020
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.3904 0.6811 0.792 0.052 0.000 0.000 0.156
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.5246 0.6303 0.720 0.116 0.012 0.004 0.148
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.6544 0.3916 0.156 0.624 0.152 0.000 0.068
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.6544 0.3916 0.156 0.624 0.152 0.000 0.068
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 4 0.0807 0.8806 0.000 0.012 0.012 0.976 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.2934 0.7232 0.880 0.036 0.004 0.004 0.076
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.2536 0.6885 0.868 0.000 0.000 0.004 0.128
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.3320 0.5114 0.000 0.820 0.164 0.012 0.004
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.5836 0.3958 0.648 0.004 0.116 0.012 0.220
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0162 0.6994 0.004 0.996 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4141 0.2638 0.000 0.728 0.248 0.024 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.4816 -0.2657 0.500 0.000 0.008 0.008 0.484
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.3423 0.7213 0.856 0.040 0.012 0.004 0.088
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0727 0.6958 0.004 0.980 0.004 0.012 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.2248 0.7177 0.900 0.012 0.000 0.000 0.088
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.4774 -0.4080 0.000 0.556 0.424 0.020 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.5072 0.6433 0.736 0.108 0.012 0.004 0.140
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.5051 -0.1663 0.004 0.492 0.480 0.000 0.024
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.4977 0.5369 0.096 0.768 0.088 0.004 0.044
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.1041 0.6890 0.004 0.964 0.000 0.032 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.5246 0.6303 0.720 0.116 0.012 0.004 0.148
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.2976 0.6798 0.852 0.012 0.000 0.004 0.132
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.4327 0.5613 0.360 0.000 0.008 0.000 0.632
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.3706 0.5891 0.076 0.844 0.040 0.000 0.040
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.4009 0.6164 0.792 0.000 0.040 0.008 0.160
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.4814 0.6764 0.724 0.080 0.004 0.000 0.192
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.5158 0.2417 0.004 0.616 0.344 0.012 0.024
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.6154 0.4254 0.136 0.664 0.136 0.000 0.064
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.2976 0.6798 0.852 0.012 0.000 0.004 0.132
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.8040 -0.4496 0.112 0.408 0.340 0.012 0.128
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.4324 0.6667 0.760 0.052 0.004 0.000 0.184
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0717 0.7483 0.000 0.976 0.008 0.000 0.000 0.016
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.2077 0.5905 0.916 0.012 0.008 0.000 0.056 0.008
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.1552 0.7341 0.000 0.940 0.020 0.000 0.004 0.036
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.4116 0.3924 0.572 0.000 0.012 0.000 0.416 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.2631 0.6251 0.004 0.860 0.008 0.004 0.000 0.124
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3489 0.5441 0.708 0.004 0.000 0.000 0.288 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0713 0.7438 0.000 0.972 0.000 0.000 0.000 0.028
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 6 0.4630 0.4627 0.000 0.372 0.048 0.000 0.000 0.580
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.5841 0.2973 0.172 0.536 0.280 0.000 0.000 0.012
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.3737 0.5198 0.168 0.000 0.044 0.000 0.780 0.008
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.4123 0.3827 0.568 0.000 0.012 0.000 0.420 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.2364 0.5566 0.904 0.020 0.052 0.000 0.020 0.004
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 4 0.0146 0.8735 0.000 0.004 0.000 0.996 0.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 6 0.4630 0.4627 0.000 0.372 0.048 0.000 0.000 0.580
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 6 0.4630 0.4627 0.000 0.372 0.048 0.000 0.000 0.580
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.5639 0.1072 0.408 0.000 0.064 0.000 0.492 0.036
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0713 0.7436 0.000 0.972 0.000 0.000 0.000 0.028
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4701 0.0841 0.484 0.000 0.008 0.000 0.480 0.028
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.1003 0.7432 0.000 0.964 0.004 0.000 0.004 0.028
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.4253 0.2688 0.000 0.680 0.012 0.016 0.004 0.288
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.1969 0.5459 0.920 0.020 0.052 0.000 0.004 0.004
#> EDD7E63D-492A-473B-A552-0764337B10EF 6 0.4417 0.4271 0.000 0.416 0.028 0.000 0.000 0.556
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.3048 0.3949 0.100 0.000 0.044 0.000 0.848 0.008
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.3710 0.5395 0.696 0.000 0.012 0.000 0.292 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.3835 0.4843 0.656 0.004 0.000 0.000 0.336 0.004
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.7525 0.000 1.000 0.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.6005 0.8919 0.012 0.000 0.476 0.000 0.340 0.172
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3198 0.5950 0.816 0.012 0.008 0.000 0.160 0.004
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 5 0.5711 0.4406 0.300 0.000 0.040 0.000 0.572 0.088
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 5 0.5671 0.4234 0.312 0.000 0.032 0.000 0.564 0.092
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 6 0.4513 0.3919 0.000 0.440 0.032 0.000 0.000 0.528
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.3508 0.5398 0.704 0.004 0.000 0.000 0.292 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.3728 0.6363 0.000 0.344 0.004 0.000 0.000 0.652
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.4169 0.3033 0.532 0.000 0.012 0.000 0.456 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4037 0.4516 0.608 0.000 0.012 0.000 0.380 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.4101 0.4055 0.580 0.000 0.012 0.000 0.408 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0692 0.7505 0.000 0.976 0.004 0.000 0.000 0.020
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.1398 0.7161 0.000 0.940 0.000 0.008 0.000 0.052
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.2077 0.5905 0.916 0.012 0.008 0.000 0.056 0.008
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.1621 0.5669 0.944 0.020 0.016 0.000 0.012 0.008
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.3564 0.5428 0.724 0.012 0.000 0.000 0.264 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0551 0.7525 0.000 0.984 0.004 0.004 0.000 0.008
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 6 0.6287 0.4058 0.056 0.168 0.032 0.000 0.124 0.620
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0405 0.7522 0.004 0.988 0.000 0.000 0.000 0.008
#> 51061018-95AB-4278-886F-F69E4EBC47C0 6 0.4385 0.6079 0.000 0.240 0.004 0.000 0.060 0.696
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.3564 0.5428 0.724 0.012 0.000 0.000 0.264 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.3564 0.5428 0.724 0.012 0.000 0.000 0.264 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0508 0.7526 0.004 0.984 0.000 0.000 0.000 0.012
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0146 0.7516 0.000 0.996 0.000 0.000 0.000 0.004
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.3512 0.5378 0.004 0.792 0.012 0.008 0.004 0.180
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.3214 0.6024 0.812 0.004 0.004 0.000 0.164 0.016
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.3898 0.5077 0.652 0.000 0.012 0.000 0.336 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.4004 0.4436 0.620 0.000 0.012 0.000 0.368 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.3468 0.5671 0.712 0.004 0.000 0.000 0.284 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.6020 0.8735 0.012 0.000 0.456 0.000 0.364 0.168
#> E19D5463-FDD0-41C1-A170-323736A88D07 6 0.3935 0.6542 0.000 0.292 0.000 0.004 0.016 0.688
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.1969 0.5459 0.920 0.020 0.052 0.000 0.004 0.004
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.1938 0.5433 0.920 0.020 0.052 0.000 0.000 0.008
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 6 0.3972 0.6467 0.000 0.320 0.004 0.000 0.012 0.664
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 6 0.4787 -0.4019 0.000 0.028 0.472 0.000 0.012 0.488
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.4109 0.3969 0.576 0.000 0.012 0.000 0.412 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.5613 0.8918 0.004 0.000 0.548 0.000 0.284 0.164
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 4 0.0146 0.8735 0.000 0.004 0.000 0.996 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.3867 0.5152 0.660 0.000 0.012 0.000 0.328 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0363 0.7516 0.000 0.988 0.000 0.000 0.000 0.012
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.4169 0.3033 0.532 0.000 0.012 0.000 0.456 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.3629 0.5428 0.712 0.012 0.000 0.000 0.276 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0922 0.7432 0.000 0.968 0.004 0.004 0.000 0.024
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 4 0.2454 0.6743 0.000 0.160 0.000 0.840 0.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.3852 0.3244 0.004 0.716 0.008 0.008 0.000 0.264
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.4178 -0.2795 0.000 0.560 0.004 0.008 0.000 0.428
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.1969 0.5459 0.920 0.020 0.052 0.000 0.004 0.004
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.4214 0.2704 0.528 0.000 0.008 0.000 0.460 0.004
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.1820 0.7187 0.008 0.924 0.056 0.000 0.000 0.012
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.6311 0.0298 0.512 0.000 0.048 0.000 0.292 0.148
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.4076 0.4190 0.592 0.000 0.012 0.000 0.396 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 6 0.3652 0.6441 0.000 0.324 0.004 0.000 0.000 0.672
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.1282 0.7421 0.000 0.956 0.012 0.004 0.004 0.024
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.1969 0.5459 0.920 0.020 0.052 0.000 0.004 0.004
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.7525 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.3565 0.5719 0.796 0.000 0.008 0.000 0.156 0.040
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.7525 0.000 1.000 0.000 0.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.7525 0.000 1.000 0.000 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 4 0.4988 0.7199 0.000 0.028 0.092 0.688 0.000 0.192
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 5 0.1820 0.2930 0.016 0.000 0.044 0.000 0.928 0.012
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.3633 0.5245 0.812 0.020 0.052 0.000 0.116 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.3710 0.5395 0.696 0.000 0.012 0.000 0.292 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.5841 0.2973 0.172 0.536 0.280 0.000 0.000 0.012
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 5 0.2605 0.2364 0.020 0.000 0.092 0.000 0.876 0.012
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.3383 0.5770 0.728 0.004 0.000 0.000 0.268 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 5 0.7259 0.2276 0.188 0.000 0.176 0.000 0.440 0.196
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.5613 0.8918 0.004 0.000 0.548 0.000 0.284 0.164
#> 6D960AE7-3769-4144-A061-E8588E5063FF 5 0.2291 0.3467 0.040 0.000 0.044 0.000 0.904 0.012
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 6 0.3915 0.6539 0.000 0.288 0.004 0.000 0.016 0.692
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.5826 0.3008 0.172 0.540 0.276 0.000 0.000 0.012
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0692 0.7505 0.000 0.976 0.004 0.000 0.000 0.020
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 6 0.4211 0.4997 0.000 0.456 0.004 0.008 0.000 0.532
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.6408 0.0890 0.324 0.400 0.260 0.000 0.000 0.016
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.4083 0.2768 0.532 0.000 0.008 0.000 0.460 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.3857 0.2819 0.532 0.000 0.000 0.000 0.468 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.3758 0.4304 0.668 0.008 0.000 0.000 0.324 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.1715 0.5686 0.940 0.020 0.016 0.000 0.016 0.008
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.3710 0.5422 0.696 0.000 0.012 0.000 0.292 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 4 0.0146 0.8735 0.000 0.004 0.000 0.996 0.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.7525 0.000 1.000 0.000 0.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 4 0.0146 0.8735 0.000 0.004 0.000 0.996 0.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0260 0.7521 0.000 0.992 0.000 0.000 0.000 0.008
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 5 0.2518 0.2245 0.016 0.000 0.092 0.000 0.880 0.012
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.3819 0.5165 0.652 0.000 0.008 0.000 0.340 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 6 0.3795 0.6187 0.000 0.364 0.004 0.000 0.000 0.632
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.4093 0.4100 0.584 0.000 0.012 0.000 0.404 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0146 0.7531 0.004 0.996 0.000 0.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 6 0.5051 0.4611 0.004 0.452 0.008 0.008 0.028 0.500
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.5613 0.8918 0.004 0.000 0.548 0.000 0.284 0.164
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0260 0.7521 0.000 0.992 0.000 0.000 0.000 0.008
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0260 0.7521 0.000 0.992 0.000 0.000 0.000 0.008
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 6 0.3864 0.6363 0.000 0.344 0.004 0.000 0.004 0.648
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.1969 0.5459 0.920 0.020 0.052 0.000 0.004 0.004
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.1969 0.5459 0.920 0.020 0.052 0.000 0.004 0.004
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.1003 0.7432 0.000 0.964 0.004 0.000 0.004 0.028
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.3847 0.5068 0.644 0.000 0.008 0.000 0.348 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.6114 0.8394 0.016 0.000 0.436 0.000 0.380 0.168
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 5 0.4763 -0.1706 0.476 0.000 0.032 0.000 0.484 0.008
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.3753 0.5834 0.748 0.000 0.004 0.000 0.220 0.028
#> D005833F-E991-4E9E-9667-55F137288004 1 0.1621 0.5669 0.944 0.020 0.016 0.000 0.012 0.008
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.2002 0.5406 0.916 0.020 0.056 0.000 0.000 0.008
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.3565 0.5542 0.692 0.000 0.004 0.000 0.304 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 6 0.5251 0.5691 0.008 0.380 0.008 0.004 0.048 0.552
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 6 0.4630 0.4627 0.000 0.372 0.048 0.000 0.000 0.580
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0146 0.7526 0.000 0.996 0.000 0.000 0.000 0.004
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 5 0.4695 -0.0479 0.460 0.000 0.008 0.000 0.504 0.028
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 5 0.4157 -0.0663 0.444 0.000 0.012 0.000 0.544 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 5 0.4157 -0.0663 0.444 0.000 0.012 0.000 0.544 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 4 0.5029 0.7214 0.000 0.032 0.092 0.688 0.000 0.188
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.7327 -0.0382 0.140 0.496 0.028 0.000 0.208 0.128
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 5 0.3728 0.5343 0.180 0.000 0.044 0.000 0.772 0.004
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.7525 0.000 1.000 0.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 5 0.7424 0.3166 0.236 0.000 0.176 0.000 0.396 0.192
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 6 0.3867 0.6541 0.000 0.296 0.000 0.004 0.012 0.688
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.3986 0.4839 0.648 0.004 0.004 0.000 0.340 0.004
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.5431 -0.2811 0.016 0.504 0.032 0.004 0.016 0.428
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.1621 0.5669 0.944 0.020 0.016 0.000 0.012 0.008
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.1621 0.5669 0.944 0.020 0.016 0.000 0.012 0.008
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 5 0.7347 0.3975 0.260 0.000 0.148 0.000 0.400 0.192
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.4047 0.4277 0.604 0.000 0.012 0.000 0.384 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 5 0.4805 -0.0850 0.468 0.008 0.012 0.000 0.496 0.016
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0713 0.7438 0.000 0.972 0.000 0.000 0.000 0.028
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.1921 0.7286 0.012 0.928 0.032 0.000 0.004 0.024
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.2017 0.5461 0.920 0.020 0.048 0.000 0.004 0.008
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0260 0.7525 0.000 0.992 0.000 0.000 0.000 0.008
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.3464 0.5475 0.688 0.000 0.000 0.000 0.312 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.2954 0.6818 0.020 0.868 0.076 0.000 0.004 0.032
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 6 0.4208 0.5046 0.000 0.452 0.004 0.008 0.000 0.536
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.5841 0.2973 0.172 0.536 0.280 0.000 0.000 0.012
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.5511 0.0145 0.468 0.000 0.004 0.000 0.416 0.112
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.1440 0.7365 0.000 0.948 0.004 0.032 0.004 0.012
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0260 0.7521 0.000 0.992 0.000 0.000 0.000 0.008
#> DC5A2C9E-978F-4661-B729-1F9662976E27 5 0.5602 0.3500 0.336 0.000 0.012 0.000 0.536 0.116
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.4316 -0.2687 0.000 0.552 0.008 0.004 0.004 0.432
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0146 0.7526 0.000 0.996 0.000 0.000 0.000 0.004
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 6 0.4630 0.4627 0.000 0.372 0.048 0.000 0.000 0.580
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.7525 0.000 1.000 0.000 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.2962 0.5862 0.872 0.016 0.024 0.000 0.072 0.016
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.2350 0.6779 0.000 0.880 0.100 0.000 0.000 0.020
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.5742 0.3186 0.164 0.556 0.268 0.000 0.000 0.012
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.7525 0.000 1.000 0.000 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 6 0.3915 0.6539 0.000 0.288 0.004 0.000 0.016 0.692
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.3835 0.4898 0.656 0.004 0.000 0.000 0.336 0.004
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.1938 0.5433 0.920 0.020 0.052 0.000 0.000 0.008
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.5841 0.2973 0.172 0.536 0.280 0.000 0.000 0.012
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.5841 0.2973 0.172 0.536 0.280 0.000 0.000 0.012
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 4 0.0146 0.8735 0.000 0.004 0.000 0.996 0.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.3565 0.5542 0.692 0.000 0.004 0.000 0.304 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.4168 0.3648 0.584 0.000 0.016 0.000 0.400 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.3152 0.5172 0.000 0.796 0.004 0.004 0.004 0.192
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 5 0.5557 0.1887 0.396 0.000 0.004 0.000 0.480 0.120
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0146 0.7527 0.000 0.996 0.000 0.000 0.000 0.004
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.3940 0.2894 0.000 0.704 0.008 0.016 0.000 0.272
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 5 0.4054 0.4169 0.192 0.000 0.052 0.000 0.748 0.008
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.3596 0.5839 0.748 0.004 0.000 0.000 0.232 0.016
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0767 0.7493 0.000 0.976 0.008 0.012 0.000 0.004
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.3802 0.5275 0.676 0.000 0.012 0.000 0.312 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.4226 -0.4238 0.000 0.504 0.004 0.008 0.000 0.484
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.2364 0.5566 0.904 0.020 0.052 0.000 0.020 0.004
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 6 0.4630 0.4627 0.000 0.372 0.048 0.000 0.000 0.580
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.5264 0.4769 0.116 0.692 0.144 0.000 0.004 0.044
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.1049 0.7409 0.000 0.960 0.000 0.032 0.000 0.008
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.1969 0.5459 0.920 0.020 0.052 0.000 0.004 0.004
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.4141 0.3648 0.556 0.000 0.012 0.000 0.432 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.2426 0.2115 0.012 0.000 0.092 0.000 0.884 0.012
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.4271 0.5465 0.128 0.776 0.048 0.000 0.004 0.044
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.5308 0.2054 0.524 0.000 0.048 0.000 0.400 0.028
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.3230 0.5503 0.776 0.012 0.000 0.000 0.212 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.6290 -0.0289 0.020 0.508 0.180 0.008 0.000 0.284
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.5582 0.3347 0.164 0.576 0.252 0.000 0.000 0.008
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.4141 0.3648 0.556 0.000 0.012 0.000 0.432 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.7299 0.4315 0.076 0.344 0.028 0.000 0.144 0.408
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.3769 0.4617 0.640 0.004 0.000 0.000 0.356 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 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.988 0.995 0.5022 0.498 0.498
#> 3 3 0.646 0.685 0.841 0.2353 0.892 0.786
#> 4 4 0.596 0.635 0.748 0.1280 0.814 0.578
#> 5 5 0.618 0.565 0.743 0.0741 0.917 0.729
#> 6 6 0.651 0.480 0.658 0.0500 0.881 0.583
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.000 0.9954 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.000 0.9950 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.000 0.9954 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.000 0.9950 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.000 0.9954 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.000 0.9950 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.000 0.9954 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.000 0.9954 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.000 0.9954 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.000 0.9950 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.000 0.9950 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.000 0.9950 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.000 0.9954 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.000 0.9954 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.000 0.9954 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.000 0.9950 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.000 0.9954 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.000 0.9950 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.000 0.9954 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.000 0.9954 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.000 0.9950 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.000 0.9954 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.000 0.9950 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.000 0.9950 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.000 0.9950 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.000 0.9954 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.000 0.9950 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.000 0.9950 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.000 0.9950 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.000 0.9950 1.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.000 0.9954 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.000 0.9950 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.000 0.9954 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.000 0.9950 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.000 0.9950 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.000 0.9950 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.000 0.9954 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.000 0.9954 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.000 0.9950 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.000 0.9950 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.000 0.9950 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.000 0.9954 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.722 0.7501 0.200 0.800
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.000 0.9954 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.000 0.9954 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.000 0.9950 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.000 0.9950 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.000 0.9954 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.000 0.9954 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.000 0.9954 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.000 0.9950 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.000 0.9950 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.000 0.9950 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.000 0.9950 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.000 0.9950 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.000 0.9954 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.000 0.9950 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.000 0.9950 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.000 0.9954 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.000 0.9954 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.000 0.9950 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.000 0.9950 1.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.000 0.9954 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.000 0.9950 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.000 0.9954 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.000 0.9950 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.000 0.9950 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.000 0.9954 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.000 0.9954 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.000 0.9954 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.000 0.9954 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.000 0.9950 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.000 0.9950 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.000 0.9954 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.000 0.9950 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.000 0.9950 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.000 0.9954 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.000 0.9954 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.000 0.9950 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.000 0.9954 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.000 0.9950 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.000 0.9954 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.000 0.9954 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.000 0.9954 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.000 0.9950 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.000 0.9950 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.000 0.9950 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.998 0.0951 0.528 0.472
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.000 0.9950 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.000 0.9950 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.000 0.9950 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.000 0.9950 1.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.000 0.9950 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.000 0.9954 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.000 0.9954 0.000 1.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.000 0.9954 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.000 0.9954 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.767 0.7118 0.224 0.776
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.000 0.9950 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.000 0.9950 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.000 0.9950 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.000 0.9950 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.000 0.9950 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.000 0.9954 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.000 0.9954 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.000 0.9954 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.000 0.9954 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.000 0.9950 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.000 0.9950 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.000 0.9954 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.000 0.9950 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.000 0.9954 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.000 0.9954 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.000 0.9950 1.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.000 0.9954 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.000 0.9954 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.000 0.9954 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.000 0.9950 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.000 0.9950 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.000 0.9954 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.000 0.9950 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.000 0.9950 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.000 0.9950 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.000 0.9950 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.000 0.9950 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.000 0.9950 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.000 0.9950 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.000 0.9954 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.000 0.9954 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.000 0.9954 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.000 0.9950 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.000 0.9950 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.000 0.9950 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.000 0.9954 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.000 0.9954 0.000 1.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.000 0.9950 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.000 0.9954 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.000 0.9950 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.000 0.9954 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.000 0.9950 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.000 0.9954 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.000 0.9950 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.000 0.9950 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.000 0.9950 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.000 0.9950 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.000 0.9950 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.000 0.9954 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.000 0.9954 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.000 0.9950 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.000 0.9954 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.000 0.9950 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.000 0.9954 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.000 0.9954 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.000 0.9954 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.000 0.9950 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.000 0.9954 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.000 0.9954 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.000 0.9950 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.000 0.9954 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.000 0.9954 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.000 0.9954 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.000 0.9954 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.000 0.9950 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.000 0.9954 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.000 0.9954 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.000 0.9954 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.000 0.9954 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.000 0.9950 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.000 0.9950 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.000 0.9954 0.000 1.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.184 0.9666 0.972 0.028
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.000 0.9954 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.000 0.9950 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.000 0.9950 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.000 0.9954 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.000 0.9950 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.000 0.9954 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.000 0.9954 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.000 0.9950 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.000 0.9950 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.000 0.9954 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.000 0.9950 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.000 0.9954 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.000 0.9950 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.000 0.9954 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.000 0.9954 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.000 0.9954 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.000 0.9950 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.000 0.9950 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.000 0.9950 1.000 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.000 0.9954 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.000 0.9950 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.000 0.9950 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.000 0.9954 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.000 0.9954 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.000 0.9950 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.000 0.9954 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.000 0.9950 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.83732 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0424 0.79165 0.992 0.000 0.008
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0237 0.83518 0.000 0.996 0.004
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.5497 0.83821 0.708 0.000 0.292
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.83732 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.4399 0.85790 0.812 0.000 0.188
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.83732 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.5098 0.57787 0.000 0.752 0.248
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4645 0.62360 0.176 0.816 0.008
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.6008 0.77655 0.628 0.000 0.372
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.5431 0.84139 0.716 0.000 0.284
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0892 0.79087 0.980 0.000 0.020
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.5988 0.35531 0.000 0.632 0.368
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.5216 0.56189 0.000 0.740 0.260
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.6302 -0.03106 0.000 0.520 0.480
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.6008 0.78673 0.628 0.000 0.372
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.83732 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.5835 0.80302 0.660 0.000 0.340
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.83732 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0237 0.83518 0.000 0.996 0.004
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0892 0.79087 0.980 0.000 0.020
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.6225 0.30800 0.000 0.432 0.568
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.5497 0.83821 0.708 0.000 0.292
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.2796 0.83206 0.908 0.000 0.092
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.4504 0.85766 0.804 0.000 0.196
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.83732 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.5216 0.09022 0.260 0.000 0.740
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.2537 0.83283 0.920 0.000 0.080
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.6008 0.77655 0.628 0.000 0.372
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.5678 0.81094 0.684 0.000 0.316
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4750 0.62843 0.000 0.784 0.216
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.4346 0.85823 0.816 0.000 0.184
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.6252 0.28037 0.000 0.444 0.556
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.5497 0.83821 0.708 0.000 0.292
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4346 0.85734 0.816 0.000 0.184
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.5497 0.83821 0.708 0.000 0.292
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.83732 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.83732 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0424 0.79165 0.992 0.000 0.008
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.1529 0.81278 0.960 0.000 0.040
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.4002 0.85574 0.840 0.000 0.160
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.83732 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.5536 0.48170 0.024 0.200 0.776
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.83732 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.5810 0.39742 0.000 0.336 0.664
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.3941 0.85513 0.844 0.000 0.156
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.3941 0.85513 0.844 0.000 0.156
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.83732 0.000 1.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.83732 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.5905 0.35894 0.000 0.648 0.352
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.79687 1.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.4842 0.85566 0.776 0.000 0.224
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.2537 0.82707 0.920 0.000 0.080
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.4504 0.85766 0.804 0.000 0.196
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.5138 0.11023 0.252 0.000 0.748
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.6225 0.31331 0.000 0.432 0.568
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0892 0.79087 0.980 0.000 0.020
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0424 0.79165 0.992 0.000 0.008
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.6225 0.31331 0.000 0.432 0.568
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.5138 0.44942 0.000 0.252 0.748
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.5465 0.83987 0.712 0.000 0.288
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.2066 0.45624 0.060 0.000 0.940
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.5988 0.35531 0.000 0.632 0.368
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.4235 0.85723 0.824 0.000 0.176
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.83732 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.5497 0.83821 0.708 0.000 0.292
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.4062 0.85620 0.836 0.000 0.164
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.83732 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.6008 0.34738 0.000 0.628 0.372
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.2356 0.77997 0.000 0.928 0.072
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.5706 0.42161 0.000 0.680 0.320
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0892 0.79087 0.980 0.000 0.020
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.5178 0.84835 0.744 0.000 0.256
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.83732 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.5363 0.84213 0.724 0.000 0.276
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.5465 0.83987 0.712 0.000 0.288
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.6204 0.32454 0.000 0.424 0.576
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.83732 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.0892 0.79087 0.980 0.000 0.020
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.83732 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.1031 0.79750 0.976 0.000 0.024
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.83732 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.83732 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.6309 -0.09470 0.000 0.500 0.500
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.6008 0.77655 0.628 0.000 0.372
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0892 0.79087 0.980 0.000 0.020
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0892 0.79343 0.980 0.000 0.020
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.7074 -0.15021 0.500 0.480 0.020
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 3 0.5948 -0.22872 0.360 0.000 0.640
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.4291 0.85765 0.820 0.000 0.180
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 3 0.5178 0.08343 0.256 0.000 0.744
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.2066 0.45624 0.060 0.000 0.940
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.5905 0.79270 0.648 0.000 0.352
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.6204 0.32494 0.000 0.424 0.576
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.4645 0.62360 0.176 0.816 0.008
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.83732 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.6026 0.28143 0.000 0.624 0.376
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.5864 0.43677 0.288 0.704 0.008
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.5216 0.84721 0.740 0.000 0.260
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.4452 0.85818 0.808 0.000 0.192
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.4002 0.85574 0.840 0.000 0.160
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0237 0.79438 0.996 0.000 0.004
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4346 0.85734 0.816 0.000 0.184
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.6244 0.14384 0.000 0.560 0.440
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.83732 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.6008 0.34738 0.000 0.628 0.372
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.83732 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.5926 0.78938 0.644 0.000 0.356
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.4452 0.85791 0.808 0.000 0.192
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.6225 0.31331 0.000 0.432 0.568
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.5497 0.83821 0.708 0.000 0.292
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.83732 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.5497 0.47474 0.000 0.708 0.292
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.2165 0.45156 0.064 0.000 0.936
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.83732 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.83732 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.6225 0.31331 0.000 0.432 0.568
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0424 0.79165 0.992 0.000 0.008
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0892 0.79087 0.980 0.000 0.020
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.83732 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.5327 0.84187 0.728 0.000 0.272
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.6062 0.77093 0.616 0.000 0.384
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.6045 0.78013 0.620 0.000 0.380
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.4399 0.85893 0.812 0.000 0.188
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0237 0.79438 0.996 0.000 0.004
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0424 0.79165 0.992 0.000 0.008
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.4291 0.85765 0.820 0.000 0.180
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.6126 0.21730 0.000 0.600 0.400
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.5098 0.57787 0.000 0.752 0.248
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.83732 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.5968 0.78294 0.636 0.000 0.364
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.6008 0.78673 0.628 0.000 0.372
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.5465 0.83987 0.712 0.000 0.288
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.6154 0.19495 0.000 0.592 0.408
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.2066 0.79241 0.000 0.940 0.060
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.5968 0.78294 0.636 0.000 0.364
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.83732 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.6008 0.78407 0.628 0.000 0.372
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.6225 0.31331 0.000 0.432 0.568
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.5926 0.78938 0.644 0.000 0.356
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.6280 0.02643 0.000 0.540 0.460
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0237 0.79438 0.996 0.000 0.004
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0237 0.79917 0.996 0.000 0.004
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.6235 0.71285 0.564 0.000 0.436
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.4605 0.85835 0.796 0.000 0.204
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.4605 0.85743 0.796 0.000 0.204
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.83732 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.83732 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0237 0.79438 0.996 0.000 0.004
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.83732 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.4121 0.85663 0.832 0.000 0.168
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.83732 0.000 1.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.6280 0.00914 0.000 0.540 0.460
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.4645 0.62360 0.176 0.816 0.008
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.4504 0.85793 0.804 0.000 0.196
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0592 0.83094 0.000 0.988 0.012
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.83732 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.6008 0.77579 0.628 0.000 0.372
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.83732 0.000 1.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.83732 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.6079 0.29290 0.000 0.612 0.388
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.83732 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0237 0.79438 0.996 0.000 0.004
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.83732 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.83732 0.000 1.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.83732 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.6225 0.31331 0.000 0.432 0.568
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.5397 0.83856 0.720 0.000 0.280
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0424 0.79165 0.992 0.000 0.008
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.4755 0.61200 0.184 0.808 0.008
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.0892 0.79087 0.980 0.000 0.020
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.6252 0.13242 0.000 0.556 0.444
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.4291 0.85765 0.820 0.000 0.180
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.3412 0.82814 0.876 0.000 0.124
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.83732 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 3 0.5706 -0.08685 0.320 0.000 0.680
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.83732 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0424 0.83278 0.000 0.992 0.008
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 3 0.6305 -0.58501 0.484 0.000 0.516
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.4346 0.85791 0.816 0.000 0.184
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.83732 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.5497 0.83821 0.708 0.000 0.292
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0424 0.83278 0.000 0.992 0.008
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0892 0.79087 0.980 0.000 0.020
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.6204 0.31972 0.000 0.424 0.576
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.83732 0.000 1.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.83732 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0892 0.79087 0.980 0.000 0.020
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.5497 0.83821 0.708 0.000 0.292
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.6215 0.71166 0.572 0.000 0.428
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0424 0.83288 0.000 0.992 0.008
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.4931 0.84229 0.768 0.000 0.232
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.4291 0.85822 0.820 0.000 0.180
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0892 0.82457 0.000 0.980 0.020
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.83732 0.000 1.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.5497 0.83821 0.708 0.000 0.292
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.6302 -0.05044 0.000 0.520 0.480
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.4291 0.85801 0.820 0.000 0.180
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0188 0.8602 0.000 0.996 0.004 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.4950 0.8679 0.376 0.000 0.004 0.620
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.1584 0.8326 0.000 0.952 0.036 0.012
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0927 0.6866 0.976 0.000 0.008 0.016
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.1182 0.8457 0.000 0.968 0.016 0.016
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3763 0.5923 0.832 0.000 0.024 0.144
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.6538 -0.1413 0.000 0.528 0.392 0.080
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.5812 0.3994 0.000 0.624 0.048 0.328
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.4773 0.6374 0.788 0.000 0.092 0.120
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0804 0.6872 0.980 0.000 0.008 0.012
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.5420 0.8760 0.352 0.000 0.024 0.624
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 3 0.7220 0.5558 0.000 0.384 0.472 0.144
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.6602 0.3911 0.000 0.436 0.484 0.080
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.5664 0.7134 0.000 0.228 0.696 0.076
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.3812 0.6433 0.832 0.000 0.028 0.140
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.3542 0.6740 0.864 0.000 0.060 0.076
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0469 0.8566 0.000 0.988 0.012 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.3681 0.6278 0.000 0.816 0.176 0.008
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.5420 0.8760 0.352 0.000 0.024 0.624
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.5200 0.7305 0.000 0.184 0.744 0.072
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.2376 0.6820 0.916 0.000 0.016 0.068
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4422 0.3750 0.736 0.000 0.008 0.256
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.3587 0.6335 0.856 0.000 0.040 0.104
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.7189 0.3837 0.532 0.000 0.300 0.168
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.5784 -0.3078 0.556 0.000 0.032 0.412
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4513 0.6489 0.804 0.000 0.076 0.120
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.4673 0.6460 0.792 0.000 0.076 0.132
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.5396 -0.2066 0.000 0.524 0.464 0.012
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.4755 0.5061 0.760 0.000 0.040 0.200
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.3837 0.7412 0.000 0.224 0.776 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0927 0.6866 0.976 0.000 0.008 0.016
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4158 0.4652 0.768 0.000 0.008 0.224
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0804 0.6872 0.980 0.000 0.008 0.012
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0188 0.8602 0.000 0.996 0.004 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.4950 0.8679 0.376 0.000 0.004 0.620
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.5657 -0.4085 0.540 0.000 0.024 0.436
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.5695 0.0843 0.624 0.000 0.040 0.336
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0188 0.8602 0.000 0.996 0.004 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.3299 0.6627 0.056 0.044 0.888 0.012
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0188 0.8596 0.000 0.996 0.004 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.2944 0.7216 0.000 0.128 0.868 0.004
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.5695 0.0843 0.624 0.000 0.040 0.336
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.5695 0.0843 0.624 0.000 0.040 0.336
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0336 0.8588 0.000 0.992 0.008 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 3 0.5606 0.4372 0.000 0.480 0.500 0.020
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.5402 0.6719 0.472 0.000 0.012 0.516
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.2124 0.6603 0.924 0.000 0.008 0.068
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.4539 0.3212 0.720 0.000 0.008 0.272
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.2909 0.6434 0.888 0.000 0.020 0.092
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.7236 0.3723 0.520 0.000 0.312 0.168
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.3528 0.7477 0.000 0.192 0.808 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.5420 0.8760 0.352 0.000 0.024 0.624
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.4872 0.8769 0.356 0.000 0.004 0.640
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.3486 0.7480 0.000 0.188 0.812 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.6116 0.6448 0.024 0.092 0.716 0.168
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0804 0.6872 0.980 0.000 0.008 0.012
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.6133 0.4525 0.136 0.000 0.676 0.188
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 3 0.7220 0.5558 0.000 0.384 0.472 0.144
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.4262 0.4184 0.756 0.000 0.008 0.236
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.2222 0.6814 0.924 0.000 0.016 0.060
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.5558 0.1430 0.640 0.000 0.036 0.324
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 3 0.7207 0.5634 0.000 0.376 0.480 0.144
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.4277 0.3925 0.000 0.720 0.280 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.5500 -0.3784 0.000 0.520 0.464 0.016
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.5420 0.8760 0.352 0.000 0.024 0.624
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.1584 0.6901 0.952 0.000 0.012 0.036
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0592 0.8521 0.000 0.984 0.016 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.2909 0.6732 0.888 0.000 0.020 0.092
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0804 0.6872 0.980 0.000 0.008 0.012
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.3486 0.7480 0.000 0.188 0.812 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0188 0.8602 0.000 0.996 0.004 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.5682 0.8684 0.352 0.000 0.036 0.612
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.5155 0.6719 0.468 0.000 0.004 0.528
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.6646 0.6681 0.000 0.304 0.584 0.112
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.4773 0.6374 0.788 0.000 0.092 0.120
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.5420 0.8760 0.352 0.000 0.024 0.624
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.5112 -0.2173 0.608 0.000 0.008 0.384
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.7022 0.3814 0.064 0.284 0.044 0.608
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.5948 0.5615 0.696 0.000 0.160 0.144
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.4019 0.5120 0.792 0.000 0.012 0.196
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.6975 0.3996 0.560 0.000 0.292 0.148
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.6179 0.4465 0.140 0.000 0.672 0.188
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.3978 0.6616 0.836 0.000 0.056 0.108
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.3486 0.7480 0.000 0.188 0.812 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.5773 0.4115 0.000 0.632 0.048 0.320
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 3 0.5510 0.4621 0.000 0.480 0.504 0.016
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.6757 0.3091 0.028 0.564 0.048 0.360
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1004 0.6851 0.972 0.000 0.004 0.024
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.3243 0.6490 0.876 0.000 0.036 0.088
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.5677 0.1006 0.628 0.000 0.040 0.332
#> F9DD688C-7B35-49E7-9651-2E098EE78856 4 0.5183 0.8213 0.408 0.000 0.008 0.584
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4485 0.4004 0.740 0.000 0.012 0.248
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 3 0.7109 0.6182 0.000 0.336 0.520 0.144
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 3 0.7214 0.5616 0.000 0.380 0.476 0.144
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.4274 0.6538 0.820 0.000 0.072 0.108
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.2611 0.6388 0.896 0.000 0.008 0.096
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.3852 0.7470 0.000 0.192 0.800 0.008
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0804 0.6872 0.980 0.000 0.008 0.012
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.5229 -0.2104 0.000 0.564 0.428 0.008
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.6655 0.3612 0.192 0.000 0.624 0.184
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0188 0.8596 0.000 0.996 0.004 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0188 0.8596 0.000 0.996 0.004 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.3486 0.7480 0.000 0.188 0.812 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.4889 0.8771 0.360 0.000 0.004 0.636
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.5420 0.8760 0.352 0.000 0.024 0.624
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0336 0.8588 0.000 0.992 0.008 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.1109 0.6826 0.968 0.000 0.004 0.028
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.5771 0.5765 0.712 0.000 0.144 0.144
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.3370 0.6723 0.872 0.000 0.048 0.080
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.5172 0.3635 0.704 0.000 0.036 0.260
#> D005833F-E991-4E9E-9667-55F137288004 4 0.5085 0.8652 0.376 0.000 0.008 0.616
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.4713 0.8760 0.360 0.000 0.000 0.640
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.3494 0.5493 0.824 0.000 0.004 0.172
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.5360 0.5410 0.000 0.436 0.552 0.012
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.6538 -0.1413 0.000 0.528 0.392 0.080
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.4411 0.6515 0.812 0.000 0.080 0.108
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.3384 0.6590 0.860 0.000 0.024 0.116
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0804 0.6872 0.980 0.000 0.008 0.012
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 3 0.6285 0.5726 0.000 0.412 0.528 0.060
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.2760 0.7383 0.000 0.872 0.128 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.4710 0.6398 0.792 0.000 0.088 0.120
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.5167 0.6044 0.760 0.000 0.108 0.132
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.3528 0.7477 0.000 0.192 0.808 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.4388 0.6585 0.808 0.000 0.060 0.132
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.5110 0.6521 0.000 0.352 0.636 0.012
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.5085 0.8652 0.376 0.000 0.008 0.616
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 4 0.5406 0.6449 0.480 0.000 0.012 0.508
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.4906 0.6025 0.776 0.000 0.084 0.140
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.3142 0.6067 0.860 0.000 0.008 0.132
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.4100 0.6300 0.824 0.000 0.048 0.128
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0188 0.8596 0.000 0.996 0.004 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0524 0.8583 0.000 0.988 0.008 0.004
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.5085 0.8652 0.376 0.000 0.008 0.616
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0336 0.8588 0.000 0.992 0.008 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.4635 0.3453 0.720 0.000 0.012 0.268
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0592 0.8546 0.000 0.984 0.016 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 3 0.5040 0.6517 0.000 0.364 0.628 0.008
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.5773 0.4115 0.000 0.632 0.048 0.320
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.5106 0.4527 0.720 0.000 0.040 0.240
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.1174 0.8451 0.000 0.968 0.020 0.012
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.4931 0.6303 0.776 0.000 0.092 0.132
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.2011 0.7902 0.000 0.920 0.080 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.6500 0.5110 0.000 0.376 0.544 0.080
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.5236 0.7726 0.432 0.000 0.008 0.560
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0469 0.8542 0.000 0.988 0.012 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.1452 0.8335 0.000 0.956 0.036 0.008
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.3486 0.7480 0.000 0.188 0.812 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.1936 0.6837 0.940 0.000 0.032 0.028
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.5127 0.8767 0.356 0.000 0.012 0.632
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.5773 0.4115 0.000 0.632 0.048 0.320
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.5746 0.8638 0.348 0.000 0.040 0.612
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.7096 0.6220 0.000 0.332 0.524 0.144
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.3908 0.4784 0.784 0.000 0.004 0.212
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.4098 0.4412 0.784 0.000 0.012 0.204
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0469 0.8566 0.000 0.988 0.012 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.6715 0.4622 0.604 0.000 0.252 0.144
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.8612 0.000 1.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4576 0.4107 0.000 0.728 0.260 0.012
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.5906 0.5714 0.700 0.000 0.148 0.152
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.4136 0.5172 0.788 0.000 0.016 0.196
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0376 0.8576 0.000 0.992 0.004 0.004
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0804 0.6872 0.980 0.000 0.008 0.012
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.3764 0.5585 0.000 0.784 0.216 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.5420 0.8760 0.352 0.000 0.024 0.624
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.5291 0.7275 0.000 0.180 0.740 0.080
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0817 0.8514 0.000 0.976 0.024 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0779 0.8511 0.000 0.980 0.004 0.016
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.5420 0.8760 0.352 0.000 0.024 0.624
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0804 0.6872 0.980 0.000 0.008 0.012
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.5947 0.5502 0.688 0.000 0.112 0.200
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0895 0.8514 0.000 0.976 0.020 0.004
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.2450 0.6707 0.912 0.000 0.016 0.072
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.5366 0.3125 0.684 0.000 0.040 0.276
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.4250 0.4334 0.000 0.724 0.276 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.1545 0.8328 0.000 0.952 0.040 0.008
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0804 0.6872 0.980 0.000 0.008 0.012
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.5090 0.6812 0.000 0.324 0.660 0.016
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.4745 0.4908 0.756 0.000 0.036 0.208
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.91745 0.000 1.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.4465 0.62209 0.204 0.000 0.000 0.736 0.060
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.1988 0.86484 0.000 0.928 0.048 0.016 0.008
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0963 0.57088 0.964 0.000 0.000 0.000 0.036
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.1518 0.89316 0.000 0.952 0.016 0.012 0.020
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.4636 0.57633 0.744 0.000 0.000 0.124 0.132
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0290 0.91697 0.000 0.992 0.000 0.000 0.008
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.7109 0.43831 0.000 0.332 0.488 0.068 0.112
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.6084 0.03824 0.000 0.456 0.032 0.460 0.052
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.4537 -0.00603 0.592 0.000 0.000 0.012 0.396
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0880 0.57309 0.968 0.000 0.000 0.000 0.032
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.4232 0.67563 0.180 0.000 0.012 0.772 0.036
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 3 0.7538 0.62232 0.000 0.228 0.472 0.068 0.232
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.6814 0.54024 0.000 0.252 0.568 0.068 0.112
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.5412 0.60043 0.000 0.092 0.732 0.068 0.108
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.3983 -0.11302 0.660 0.000 0.000 0.000 0.340
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0162 0.91713 0.000 0.996 0.000 0.000 0.004
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4306 0.22239 0.660 0.000 0.000 0.012 0.328
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0486 0.91541 0.000 0.988 0.004 0.004 0.004
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.4686 0.22720 0.000 0.644 0.332 0.016 0.008
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.4159 0.67657 0.172 0.000 0.012 0.780 0.036
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.5066 0.58197 0.000 0.064 0.756 0.068 0.112
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.2732 0.45469 0.840 0.000 0.000 0.000 0.160
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.3274 0.50654 0.780 0.000 0.000 0.220 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.4617 0.56833 0.744 0.000 0.000 0.108 0.148
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0290 0.91699 0.000 0.992 0.000 0.000 0.008
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 5 0.5879 0.64856 0.328 0.000 0.104 0.004 0.564
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 4 0.6180 0.05209 0.404 0.000 0.000 0.460 0.136
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4640 0.14592 0.584 0.000 0.000 0.016 0.400
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.6068 0.37188 0.544 0.000 0.000 0.148 0.308
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 3 0.5391 0.49763 0.000 0.356 0.592 0.024 0.028
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.5526 0.54238 0.648 0.000 0.000 0.200 0.152
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.2970 0.71906 0.000 0.168 0.828 0.004 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.1041 0.57140 0.964 0.000 0.000 0.004 0.032
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.2690 0.56120 0.844 0.000 0.000 0.156 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0880 0.57309 0.968 0.000 0.000 0.000 0.032
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0162 0.91723 0.000 0.996 0.000 0.000 0.004
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0510 0.91449 0.000 0.984 0.000 0.000 0.016
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.4701 0.59142 0.236 0.000 0.000 0.704 0.060
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.6047 0.19682 0.376 0.000 0.000 0.500 0.124
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.6219 0.18049 0.472 0.000 0.000 0.384 0.144
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0162 0.91723 0.000 0.996 0.000 0.000 0.004
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.3708 0.51220 0.056 0.016 0.836 0.000 0.092
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0404 0.91466 0.000 0.988 0.000 0.000 0.012
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.3234 0.65065 0.000 0.084 0.852 0.000 0.064
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.6229 0.15518 0.464 0.000 0.000 0.392 0.144
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.6219 0.18049 0.472 0.000 0.000 0.384 0.144
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0566 0.91542 0.000 0.984 0.004 0.000 0.012
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0451 0.91411 0.000 0.988 0.008 0.000 0.004
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 3 0.4810 0.54721 0.000 0.400 0.580 0.012 0.008
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.5942 0.27420 0.360 0.000 0.000 0.524 0.116
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.2426 0.59881 0.900 0.000 0.000 0.064 0.036
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.3395 0.48253 0.764 0.000 0.000 0.236 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.4203 0.58255 0.780 0.000 0.000 0.092 0.128
#> C775B68F-9507-47E3-B507-B433AED79002 5 0.5879 0.64856 0.328 0.000 0.104 0.004 0.564
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.2561 0.71131 0.000 0.144 0.856 0.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.4232 0.67563 0.180 0.000 0.012 0.772 0.036
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.3183 0.66753 0.156 0.000 0.000 0.828 0.016
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.2890 0.71752 0.000 0.160 0.836 0.004 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.6045 0.23352 0.000 0.032 0.556 0.060 0.352
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0880 0.57309 0.968 0.000 0.000 0.000 0.032
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 5 0.5541 0.43298 0.076 0.000 0.372 0.000 0.552
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 3 0.7538 0.62232 0.000 0.228 0.472 0.068 0.232
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.4203 0.54228 0.760 0.000 0.000 0.188 0.052
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0510 0.91449 0.000 0.984 0.000 0.000 0.016
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.2127 0.48760 0.892 0.000 0.000 0.000 0.108
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.6202 0.21529 0.484 0.000 0.000 0.372 0.144
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0162 0.91713 0.000 0.996 0.000 0.000 0.004
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 3 0.7520 0.62505 0.000 0.224 0.476 0.068 0.232
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.4553 0.06170 0.000 0.604 0.384 0.004 0.008
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 3 0.5151 0.47358 0.000 0.436 0.532 0.012 0.020
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.4159 0.67457 0.172 0.000 0.012 0.780 0.036
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.2233 0.57589 0.904 0.000 0.000 0.016 0.080
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.1117 0.89985 0.000 0.964 0.016 0.000 0.020
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.2873 0.45566 0.856 0.000 0.000 0.016 0.128
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0794 0.57524 0.972 0.000 0.000 0.000 0.028
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.2956 0.70889 0.000 0.140 0.848 0.004 0.008
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0324 0.91615 0.000 0.992 0.004 0.000 0.004
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.4704 0.66523 0.168 0.000 0.028 0.756 0.048
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0162 0.91723 0.000 0.996 0.000 0.000 0.004
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.5534 0.46023 0.300 0.000 0.000 0.604 0.096
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0162 0.91723 0.000 0.996 0.000 0.000 0.004
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0290 0.91697 0.000 0.992 0.000 0.000 0.008
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.7069 0.67064 0.000 0.236 0.544 0.064 0.156
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.4547 -0.02343 0.588 0.000 0.000 0.012 0.400
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.4232 0.67563 0.180 0.000 0.012 0.772 0.036
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.4088 0.32707 0.688 0.000 0.000 0.304 0.008
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.5570 0.60076 0.076 0.092 0.032 0.748 0.052
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 5 0.4800 0.47036 0.456 0.000 0.008 0.008 0.528
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.5093 0.56277 0.696 0.000 0.000 0.180 0.124
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 5 0.5928 0.61418 0.392 0.000 0.108 0.000 0.500
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 5 0.5579 0.44407 0.080 0.000 0.368 0.000 0.552
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.4232 0.25669 0.676 0.000 0.000 0.012 0.312
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.2864 0.70483 0.000 0.136 0.852 0.000 0.012
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.6081 0.07185 0.000 0.444 0.032 0.472 0.052
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.91745 0.000 1.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 3 0.4714 0.54048 0.000 0.408 0.576 0.012 0.004
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 4 0.6237 0.19662 0.008 0.400 0.032 0.512 0.048
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1557 0.57838 0.940 0.000 0.000 0.008 0.052
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.3291 0.57969 0.840 0.000 0.000 0.040 0.120
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.6243 0.19271 0.472 0.000 0.000 0.380 0.148
#> F9DD688C-7B35-49E7-9651-2E098EE78856 4 0.5393 0.45320 0.312 0.000 0.000 0.608 0.080
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.3488 0.56184 0.808 0.000 0.000 0.168 0.024
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 3 0.7481 0.63094 0.000 0.216 0.484 0.068 0.232
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0162 0.91723 0.000 0.996 0.000 0.000 0.004
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 3 0.7538 0.62232 0.000 0.228 0.472 0.068 0.232
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0162 0.91728 0.000 0.996 0.000 0.000 0.004
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.4494 0.05358 0.608 0.000 0.000 0.012 0.380
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.3648 0.59404 0.824 0.000 0.000 0.092 0.084
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.2648 0.71487 0.000 0.152 0.848 0.000 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0794 0.57496 0.972 0.000 0.000 0.000 0.028
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0162 0.91713 0.000 0.996 0.000 0.000 0.004
#> 2C1F9079-602E-4252-82C7-9D8799E04246 3 0.4989 0.41789 0.000 0.456 0.520 0.016 0.008
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 5 0.5769 0.49656 0.104 0.000 0.340 0.000 0.556
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0404 0.91466 0.000 0.988 0.000 0.000 0.012
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0290 0.91633 0.000 0.992 0.000 0.000 0.008
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.2719 0.71057 0.000 0.144 0.852 0.000 0.004
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.3141 0.66864 0.152 0.000 0.000 0.832 0.016
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.4196 0.67539 0.176 0.000 0.012 0.776 0.036
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0162 0.91673 0.000 0.996 0.004 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.2983 0.59520 0.868 0.000 0.000 0.056 0.076
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 5 0.4783 0.49542 0.452 0.000 0.012 0.004 0.532
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.3003 0.36282 0.812 0.000 0.000 0.000 0.188
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.6068 0.32684 0.532 0.000 0.000 0.328 0.140
#> D005833F-E991-4E9E-9667-55F137288004 4 0.4736 0.60653 0.216 0.000 0.000 0.712 0.072
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.3224 0.66666 0.160 0.000 0.000 0.824 0.016
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.3934 0.59218 0.800 0.000 0.000 0.124 0.076
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.4688 0.59520 0.000 0.364 0.616 0.016 0.004
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.7109 0.43831 0.000 0.332 0.488 0.068 0.112
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0162 0.91713 0.000 0.996 0.000 0.000 0.004
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.4387 0.16225 0.640 0.000 0.000 0.012 0.348
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.2929 0.35234 0.820 0.000 0.000 0.000 0.180
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0880 0.57309 0.968 0.000 0.000 0.000 0.032
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 3 0.5465 0.57737 0.000 0.376 0.568 0.012 0.044
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.3062 0.78262 0.000 0.868 0.080 0.004 0.048
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.4574 -0.07063 0.576 0.000 0.000 0.012 0.412
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.91745 0.000 1.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.4803 -0.46234 0.496 0.000 0.012 0.004 0.488
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.2890 0.71752 0.000 0.160 0.836 0.004 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.5080 0.24291 0.588 0.000 0.000 0.044 0.368
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.4991 0.67427 0.000 0.284 0.668 0.016 0.032
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.4850 0.59059 0.232 0.000 0.000 0.696 0.072
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 4 0.5960 0.28248 0.352 0.000 0.000 0.528 0.120
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.4392 -0.27278 0.612 0.000 0.008 0.000 0.380
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.1408 0.58994 0.948 0.000 0.000 0.044 0.008
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.5900 0.48392 0.600 0.000 0.000 0.188 0.212
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0510 0.91449 0.000 0.984 0.000 0.000 0.016
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0451 0.91514 0.000 0.988 0.004 0.008 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.4679 0.60965 0.216 0.000 0.000 0.716 0.068
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0566 0.91137 0.000 0.984 0.012 0.000 0.004
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.5427 0.46941 0.636 0.000 0.000 0.260 0.104
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0932 0.90518 0.000 0.972 0.020 0.004 0.004
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 3 0.3861 0.68672 0.000 0.284 0.712 0.004 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.6081 0.07185 0.000 0.444 0.032 0.472 0.052
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.6204 0.41406 0.536 0.000 0.000 0.288 0.176
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.1444 0.89080 0.000 0.948 0.040 0.000 0.012
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0510 0.91449 0.000 0.984 0.000 0.000 0.016
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.4949 -0.02388 0.572 0.000 0.000 0.032 0.396
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.3870 0.49501 0.000 0.732 0.260 0.004 0.004
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.91745 0.000 1.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.6802 0.53277 0.000 0.228 0.580 0.068 0.124
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0290 0.91699 0.000 0.992 0.000 0.000 0.008
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.5285 0.49935 0.288 0.000 0.000 0.632 0.080
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0912 0.90354 0.000 0.972 0.016 0.000 0.012
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.1772 0.86795 0.000 0.940 0.020 0.008 0.032
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.91745 0.000 1.000 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.2798 0.70799 0.000 0.140 0.852 0.000 0.008
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.3863 0.56778 0.796 0.000 0.000 0.052 0.152
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.2741 0.67590 0.132 0.000 0.004 0.860 0.004
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.6081 0.07185 0.000 0.444 0.032 0.472 0.052
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.4814 0.66429 0.164 0.000 0.032 0.752 0.052
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.7481 0.63094 0.000 0.216 0.484 0.068 0.232
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.4732 0.54667 0.716 0.000 0.000 0.208 0.076
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.3954 0.43993 0.772 0.000 0.000 0.192 0.036
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0451 0.91494 0.000 0.988 0.008 0.000 0.004
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 5 0.6081 0.59210 0.352 0.000 0.088 0.016 0.544
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0162 0.91723 0.000 0.996 0.000 0.000 0.004
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.5020 -0.09995 0.000 0.564 0.408 0.012 0.016
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 5 0.4562 0.45961 0.492 0.000 0.008 0.000 0.500
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.5525 0.50219 0.636 0.000 0.000 0.240 0.124
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0404 0.91596 0.000 0.988 0.000 0.000 0.012
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0880 0.57309 0.968 0.000 0.000 0.000 0.032
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.4383 -0.08536 0.000 0.572 0.424 0.000 0.004
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.4232 0.67563 0.180 0.000 0.012 0.772 0.036
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.5066 0.58197 0.000 0.064 0.756 0.068 0.112
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.1630 0.88544 0.000 0.944 0.036 0.004 0.016
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.1041 0.89839 0.000 0.964 0.004 0.000 0.032
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.4159 0.67457 0.172 0.000 0.012 0.780 0.036
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0963 0.57051 0.964 0.000 0.000 0.000 0.036
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.4996 -0.18400 0.548 0.000 0.000 0.032 0.420
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0992 0.90099 0.000 0.968 0.024 0.008 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.2813 0.51183 0.876 0.000 0.000 0.040 0.084
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.6253 0.26326 0.492 0.000 0.000 0.352 0.156
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.5293 0.02014 0.000 0.568 0.388 0.012 0.032
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.3187 0.79435 0.000 0.860 0.096 0.008 0.036
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0880 0.57309 0.968 0.000 0.000 0.000 0.032
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.4977 0.68642 0.000 0.268 0.680 0.016 0.036
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.5547 0.54079 0.644 0.000 0.000 0.208 0.148
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.1799 0.90402 0.000 0.928 0.004 0.008 0.008 0.052
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.3867 0.16208 0.488 0.000 0.000 0.512 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.3256 0.83113 0.000 0.840 0.028 0.012 0.008 0.112
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.4381 0.14383 0.536 0.000 0.000 0.024 0.440 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.2627 0.88411 0.000 0.892 0.032 0.016 0.008 0.052
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0858 0.40165 0.968 0.000 0.000 0.004 0.028 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0405 0.93053 0.000 0.988 0.004 0.000 0.008 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 6 0.7713 0.12505 0.000 0.268 0.180 0.036 0.104 0.412
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.4991 0.45279 0.000 0.280 0.044 0.648 0.016 0.012
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.5442 0.46915 0.412 0.000 0.120 0.000 0.468 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.4372 0.16260 0.544 0.000 0.000 0.024 0.432 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.1219 0.77297 0.048 0.000 0.000 0.948 0.004 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 3 0.5516 0.98976 0.000 0.140 0.504 0.000 0.000 0.356
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 6 0.7486 0.15487 0.000 0.204 0.180 0.036 0.104 0.476
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 6 0.5888 0.18724 0.000 0.032 0.180 0.036 0.104 0.648
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.4460 0.32443 0.292 0.000 0.020 0.024 0.664 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0291 0.93214 0.000 0.992 0.000 0.000 0.004 0.004
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.5296 -0.43848 0.452 0.000 0.100 0.000 0.448 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.2157 0.88591 0.000 0.904 0.004 0.008 0.008 0.076
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.4863 -0.05569 0.000 0.532 0.016 0.012 0.012 0.428
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.1219 0.77297 0.048 0.000 0.000 0.948 0.004 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 6 0.5672 0.18586 0.000 0.020 0.180 0.036 0.104 0.660
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.4082 0.15781 0.432 0.000 0.004 0.004 0.560 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.5363 0.22410 0.492 0.000 0.000 0.112 0.396 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.1732 0.36323 0.920 0.000 0.004 0.004 0.072 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0405 0.93053 0.000 0.988 0.004 0.000 0.008 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 5 0.6921 0.50437 0.204 0.000 0.304 0.000 0.420 0.072
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3690 0.32927 0.700 0.000 0.000 0.288 0.012 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.5080 -0.22621 0.600 0.000 0.112 0.000 0.288 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.5457 0.08328 0.648 0.000 0.068 0.068 0.216 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 6 0.5869 0.25366 0.000 0.268 0.088 0.016 0.032 0.596
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.2251 0.40347 0.904 0.000 0.008 0.052 0.036 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.1897 0.42663 0.000 0.084 0.000 0.004 0.004 0.908
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.4393 0.11456 0.524 0.000 0.000 0.024 0.452 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4991 0.21942 0.524 0.000 0.000 0.072 0.404 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.4377 0.15267 0.540 0.000 0.000 0.024 0.436 0.000
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#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0551 0.92959 0.000 0.984 0.004 0.000 0.008 0.004
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.4372 0.16260 0.544 0.000 0.000 0.024 0.432 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 6 0.4158 0.26493 0.000 0.416 0.004 0.000 0.008 0.572
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.1219 0.77297 0.048 0.000 0.000 0.948 0.004 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 6 0.5672 0.18586 0.000 0.020 0.180 0.036 0.104 0.660
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.3207 0.85553 0.000 0.856 0.040 0.008 0.020 0.076
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.1124 0.91399 0.000 0.956 0.036 0.000 0.008 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.1219 0.77297 0.048 0.000 0.000 0.948 0.004 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.4372 0.16260 0.544 0.000 0.000 0.024 0.432 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.6254 0.53082 0.304 0.000 0.232 0.004 0.452 0.008
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.3117 0.84577 0.000 0.852 0.028 0.012 0.008 0.100
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.4791 0.02269 0.436 0.000 0.000 0.052 0.512 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.3892 0.40441 0.740 0.000 0.000 0.212 0.048 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 6 0.5850 0.17639 0.000 0.420 0.048 0.036 0.016 0.480
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.4762 0.64037 0.000 0.740 0.048 0.040 0.016 0.156
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.4372 0.16260 0.544 0.000 0.000 0.024 0.432 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.4523 0.34642 0.000 0.128 0.060 0.012 0.036 0.764
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1644 0.41134 0.932 0.000 0.000 0.040 0.028 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "skmeans"]
# you can also extract it by
# res = res_list["CV:skmeans"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.993 0.997 0.5024 0.498 0.498
#> 3 3 0.700 0.815 0.874 0.2551 0.868 0.739
#> 4 4 0.731 0.708 0.869 0.1597 0.859 0.640
#> 5 5 0.698 0.607 0.779 0.0644 0.858 0.545
#> 6 6 0.793 0.764 0.860 0.0407 0.922 0.673
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.000 0.995 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.000 0.998 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.000 0.995 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.000 0.998 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.000 0.995 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.000 0.998 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.000 0.995 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.000 0.995 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.000 0.995 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.000 0.998 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.000 0.998 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.000 0.998 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.000 0.995 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.000 0.995 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.000 0.995 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.000 0.998 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.000 0.995 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.000 0.998 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.000 0.995 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.000 0.995 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.000 0.998 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.000 0.995 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.000 0.998 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.000 0.998 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.000 0.998 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.000 0.995 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.000 0.998 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.000 0.998 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.000 0.998 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.000 0.998 1.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.000 0.995 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.000 0.998 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.000 0.995 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.000 0.998 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.000 0.998 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.000 0.998 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.000 0.995 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.000 0.995 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.000 0.998 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.000 0.998 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.000 0.998 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.000 0.995 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.634 0.812 0.160 0.840
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.000 0.995 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.000 0.995 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.000 0.998 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.000 0.998 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.000 0.995 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.000 0.995 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.000 0.995 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.000 0.998 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.000 0.998 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.000 0.998 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.000 0.998 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.000 0.998 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.000 0.995 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.000 0.998 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.000 0.998 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.000 0.995 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.000 0.995 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.000 0.998 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.000 0.998 1.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.000 0.995 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.000 0.998 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.000 0.995 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.000 0.998 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.000 0.998 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.000 0.995 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.000 0.995 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.000 0.995 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.000 0.995 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.000 0.998 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.000 0.998 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.000 0.995 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.000 0.998 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.000 0.998 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.000 0.995 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.000 0.995 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.000 0.998 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.000 0.995 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.000 0.998 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.000 0.995 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.000 0.995 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.000 0.995 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.000 0.998 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.000 0.998 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.000 0.998 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.714 0.759 0.196 0.804
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.000 0.998 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.000 0.998 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.000 0.998 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.000 0.998 1.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.000 0.998 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.000 0.995 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.000 0.995 0.000 1.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.000 0.995 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.000 0.995 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.402 0.912 0.080 0.920
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.000 0.998 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.000 0.998 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.000 0.998 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.000 0.998 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.000 0.998 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.000 0.995 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.000 0.995 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.000 0.995 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.000 0.995 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.000 0.998 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.000 0.998 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.000 0.995 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.000 0.998 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.000 0.995 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.000 0.995 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.000 0.998 1.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.000 0.995 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.000 0.995 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.000 0.995 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.000 0.998 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.000 0.998 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.000 0.995 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.000 0.998 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.000 0.998 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.000 0.998 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.000 0.998 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.000 0.998 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.000 0.998 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.000 0.998 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.000 0.995 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.000 0.995 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.000 0.995 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.000 0.998 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.000 0.998 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.000 0.998 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.000 0.995 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.000 0.995 0.000 1.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.000 0.998 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.000 0.995 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.000 0.998 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.000 0.995 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.000 0.998 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.000 0.995 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.000 0.998 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.000 0.998 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.000 0.998 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.000 0.998 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.000 0.998 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.000 0.995 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.000 0.995 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.000 0.998 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.000 0.995 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.000 0.998 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.000 0.995 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.000 0.995 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.000 0.995 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.000 0.998 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.000 0.995 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.000 0.995 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.000 0.998 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.000 0.995 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.000 0.995 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.000 0.995 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.000 0.995 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.000 0.998 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.000 0.995 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.000 0.995 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.000 0.995 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.000 0.995 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.000 0.998 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.000 0.998 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.000 0.995 0.000 1.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.662 0.790 0.828 0.172
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.000 0.995 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.000 0.998 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.000 0.998 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.000 0.995 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.000 0.998 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.000 0.995 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.000 0.995 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.000 0.998 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.000 0.998 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.000 0.995 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.000 0.998 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.000 0.995 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.000 0.998 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.000 0.995 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.000 0.995 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.000 0.995 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.000 0.998 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.000 0.998 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.000 0.998 1.000 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.000 0.995 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.000 0.998 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.000 0.998 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.000 0.995 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.000 0.995 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.000 0.998 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.000 0.995 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.000 0.998 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9270 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.5016 0.8048 0.760 0.000 0.240
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9270 0.000 1.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.8869 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9270 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.8869 1.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9270 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.5948 0.1948 0.000 0.640 0.360
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.5016 0.6245 0.000 0.760 0.240
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.8869 1.000 0.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.8869 1.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.5016 0.8048 0.760 0.000 0.240
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 3 0.6111 0.7609 0.000 0.396 0.604
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.5988 0.1616 0.000 0.632 0.368
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.5138 0.8339 0.000 0.252 0.748
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.8869 1.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9270 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.8869 1.000 0.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9270 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.9270 0.000 1.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.5016 0.8048 0.760 0.000 0.240
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.5016 0.8390 0.000 0.240 0.760
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.8869 1.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.3941 0.8390 0.844 0.000 0.156
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.8869 1.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9270 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.6192 0.2465 0.580 0.000 0.420
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.4974 0.8067 0.764 0.000 0.236
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0000 0.8869 1.000 0.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0000 0.8869 1.000 0.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.5810 0.2648 0.000 0.664 0.336
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.8869 1.000 0.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.5016 0.8390 0.000 0.240 0.760
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.8869 1.000 0.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.2356 0.8674 0.928 0.000 0.072
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.8869 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9270 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9270 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.5016 0.8048 0.760 0.000 0.240
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.4842 0.8123 0.776 0.000 0.224
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0424 0.8856 0.992 0.000 0.008
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9270 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.6000 0.6584 0.200 0.040 0.760
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9270 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.5016 0.8390 0.000 0.240 0.760
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0424 0.8856 0.992 0.000 0.008
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0424 0.8856 0.992 0.000 0.008
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.9270 0.000 1.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9270 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 3 0.5905 0.7952 0.000 0.352 0.648
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.5016 0.8048 0.760 0.000 0.240
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.8869 1.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.4002 0.8375 0.840 0.000 0.160
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.8869 1.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.6307 0.0414 0.512 0.000 0.488
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.5016 0.8390 0.000 0.240 0.760
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.5016 0.8048 0.760 0.000 0.240
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.5016 0.8048 0.760 0.000 0.240
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.5016 0.8390 0.000 0.240 0.760
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.5016 0.8390 0.000 0.240 0.760
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.8869 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.5016 0.6070 0.240 0.000 0.760
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 3 0.6111 0.7609 0.000 0.396 0.604
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.8869 1.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9270 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.8869 1.000 0.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0424 0.8856 0.992 0.000 0.008
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9270 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 3 0.6111 0.7609 0.000 0.396 0.604
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.3482 0.7278 0.000 0.872 0.128
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 3 0.6111 0.7609 0.000 0.396 0.604
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.5016 0.8048 0.760 0.000 0.240
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.8869 1.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9270 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.3752 0.8435 0.856 0.000 0.144
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.8869 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.5016 0.8390 0.000 0.240 0.760
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9270 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.5016 0.8048 0.760 0.000 0.240
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9270 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.5016 0.8048 0.760 0.000 0.240
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9270 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9270 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.5363 0.8306 0.000 0.276 0.724
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.8869 1.000 0.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.5016 0.8048 0.760 0.000 0.240
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.4842 0.8114 0.776 0.000 0.224
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.5016 0.6245 0.000 0.760 0.240
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.6126 0.2955 0.600 0.000 0.400
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.8869 1.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.6204 0.2346 0.576 0.000 0.424
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.5016 0.6070 0.240 0.000 0.760
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.8869 1.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.5016 0.8390 0.000 0.240 0.760
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.5016 0.6245 0.000 0.760 0.240
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9270 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 3 0.6126 0.7549 0.000 0.400 0.600
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.5016 0.6245 0.000 0.760 0.240
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.8869 1.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.8869 1.000 0.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0424 0.8856 0.992 0.000 0.008
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.5016 0.8048 0.760 0.000 0.240
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.8869 1.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 3 0.6111 0.7609 0.000 0.396 0.604
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9270 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 3 0.6111 0.7609 0.000 0.396 0.604
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9270 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.8869 1.000 0.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.8869 1.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.5016 0.8390 0.000 0.240 0.760
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.8869 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9270 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 3 0.6252 0.6734 0.000 0.444 0.556
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.5016 0.6070 0.240 0.000 0.760
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9270 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9270 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.5016 0.8390 0.000 0.240 0.760
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.5016 0.8048 0.760 0.000 0.240
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.5016 0.8048 0.760 0.000 0.240
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9270 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.8869 1.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.2537 0.8313 0.920 0.000 0.080
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.8869 1.000 0.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0424 0.8856 0.992 0.000 0.008
#> D005833F-E991-4E9E-9667-55F137288004 1 0.5016 0.8048 0.760 0.000 0.240
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.5016 0.8048 0.760 0.000 0.240
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.8869 1.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.6126 0.7549 0.000 0.400 0.600
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.5948 0.1948 0.000 0.640 0.360
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9270 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.8869 1.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.8869 1.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.8869 1.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 3 0.6045 0.7752 0.000 0.380 0.620
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.9270 0.000 1.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0892 0.8750 0.980 0.000 0.020
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9270 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.8869 1.000 0.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.5016 0.8390 0.000 0.240 0.760
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.8869 1.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.5968 0.7875 0.000 0.364 0.636
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.5016 0.8048 0.760 0.000 0.240
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.5016 0.8048 0.760 0.000 0.240
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.4555 0.6901 0.800 0.000 0.200
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.8869 1.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.8869 1.000 0.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9270 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9270 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.5016 0.8048 0.760 0.000 0.240
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9270 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.8869 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9270 0.000 1.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 3 0.5560 0.8216 0.000 0.300 0.700
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.5016 0.6245 0.000 0.760 0.240
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0424 0.8856 0.992 0.000 0.008
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.9270 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9270 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.4555 0.6901 0.800 0.000 0.200
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.9270 0.000 1.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9270 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.6244 0.5578 0.000 0.440 0.560
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9270 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.5016 0.8048 0.760 0.000 0.240
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9270 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0237 0.9224 0.000 0.996 0.004
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9270 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.5016 0.8390 0.000 0.240 0.760
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.8869 1.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.5016 0.8048 0.760 0.000 0.240
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.5016 0.6245 0.000 0.760 0.240
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.9606 0.4097 0.472 0.288 0.240
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.6111 0.7609 0.000 0.396 0.604
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.8869 1.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.4887 0.8095 0.772 0.000 0.228
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9270 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.6126 0.2955 0.600 0.000 0.400
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9270 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9270 0.000 1.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.6062 0.3368 0.616 0.000 0.384
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.8869 1.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9270 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.8869 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9270 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.5016 0.8048 0.760 0.000 0.240
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.5016 0.8390 0.000 0.240 0.760
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9270 0.000 1.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9270 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.5016 0.8048 0.760 0.000 0.240
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.8869 1.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.6140 0.2829 0.404 0.000 0.596
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9270 0.000 1.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.3619 0.8464 0.864 0.000 0.136
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0424 0.8856 0.992 0.000 0.008
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.2261 0.8341 0.000 0.932 0.068
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.9270 0.000 1.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.8869 1.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.5098 0.8380 0.000 0.248 0.752
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.8869 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.0000 0.8441 0.000 0.000 0.000 1.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0707 0.8188 0.980 0.000 0.000 0.020
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.4543 0.5373 0.676 0.000 0.000 0.324
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.4817 0.3678 0.000 0.388 0.612 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4830 0.4268 0.000 0.608 0.000 0.392
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0804 0.8162 0.980 0.000 0.012 0.008
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0817 0.8179 0.976 0.000 0.000 0.024
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0336 0.8440 0.008 0.000 0.000 0.992
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 3 0.4817 0.5681 0.000 0.388 0.612 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.3942 0.6215 0.000 0.236 0.764 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0469 0.7586 0.000 0.012 0.988 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0188 0.8166 0.996 0.000 0.004 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0804 0.8162 0.980 0.000 0.012 0.008
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.3356 0.6744 0.000 0.824 0.176 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0336 0.8440 0.008 0.000 0.000 0.992
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.0469 0.7586 0.000 0.012 0.988 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.8172 1.000 0.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.5000 0.0885 0.504 0.000 0.000 0.496
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.4483 0.5972 0.712 0.000 0.004 0.284
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.2480 0.7653 0.904 0.000 0.088 0.008
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 4 0.1867 0.8115 0.072 0.000 0.000 0.928
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0804 0.8162 0.980 0.000 0.012 0.008
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.5383 0.2338 0.536 0.000 0.012 0.452
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 3 0.3123 0.6996 0.000 0.156 0.844 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.5137 0.2548 0.544 0.000 0.004 0.452
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.1940 0.7561 0.000 0.076 0.924 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0707 0.8188 0.980 0.000 0.000 0.020
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4992 0.1573 0.524 0.000 0.000 0.476
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0707 0.8188 0.980 0.000 0.000 0.020
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.0000 0.8441 0.000 0.000 0.000 1.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.2760 0.7648 0.128 0.000 0.000 0.872
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 4 0.4964 0.3169 0.380 0.000 0.004 0.616
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0000 0.7495 0.000 0.000 1.000 0.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.0188 0.7528 0.000 0.004 0.996 0.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 4 0.4936 0.3383 0.372 0.000 0.004 0.624
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 4 0.4936 0.3383 0.372 0.000 0.004 0.624
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 3 0.4697 0.6051 0.000 0.356 0.644 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.2921 0.7519 0.140 0.000 0.000 0.860
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0817 0.8182 0.976 0.000 0.000 0.024
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.5000 0.0885 0.504 0.000 0.000 0.496
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.3688 0.6907 0.792 0.000 0.000 0.208
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.2480 0.7653 0.904 0.000 0.088 0.008
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.0469 0.7586 0.000 0.012 0.988 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0336 0.8440 0.008 0.000 0.000 0.992
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.8441 0.000 0.000 0.000 1.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.0469 0.7586 0.000 0.012 0.988 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0657 0.7487 0.012 0.004 0.984 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0707 0.8188 0.980 0.000 0.000 0.020
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.2921 0.6622 0.140 0.000 0.860 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 3 0.4830 0.5613 0.000 0.392 0.608 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.4972 0.2135 0.544 0.000 0.000 0.456
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0188 0.8179 0.996 0.000 0.000 0.004
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 4 0.5004 0.2813 0.392 0.000 0.004 0.604
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 3 0.4817 0.5681 0.000 0.388 0.612 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.4643 0.2751 0.000 0.656 0.344 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 3 0.4830 0.5623 0.000 0.392 0.608 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0336 0.8440 0.008 0.000 0.000 0.992
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.2814 0.7518 0.868 0.000 0.000 0.132
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.1902 0.7802 0.932 0.000 0.004 0.064
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0707 0.8188 0.980 0.000 0.000 0.020
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.0469 0.7586 0.000 0.012 0.988 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0336 0.8440 0.008 0.000 0.000 0.992
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.3528 0.6752 0.192 0.000 0.000 0.808
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.4103 0.6870 0.000 0.256 0.744 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0804 0.8162 0.980 0.000 0.012 0.008
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0336 0.8440 0.008 0.000 0.000 0.992
#> 83B88608-0506-428C-B9E8-621F38477B42 4 0.4713 0.3887 0.360 0.000 0.000 0.640
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.1151 0.8225 0.008 0.024 0.000 0.968
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0927 0.8147 0.976 0.000 0.016 0.008
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.4817 0.4149 0.612 0.000 0.000 0.388
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.2081 0.7659 0.916 0.000 0.084 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.3764 0.5842 0.216 0.000 0.784 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0524 0.8177 0.988 0.000 0.004 0.008
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.0469 0.7586 0.000 0.012 0.988 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.4761 0.4527 0.000 0.628 0.000 0.372
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 3 0.4830 0.5623 0.000 0.392 0.608 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.5137 0.2842 0.004 0.544 0.000 0.452
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1389 0.8098 0.952 0.000 0.000 0.048
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.4543 0.5402 0.676 0.000 0.000 0.324
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 4 0.4950 0.3274 0.376 0.000 0.004 0.620
#> F9DD688C-7B35-49E7-9651-2E098EE78856 4 0.1557 0.8214 0.056 0.000 0.000 0.944
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4994 0.1346 0.520 0.000 0.000 0.480
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 3 0.4804 0.5739 0.000 0.384 0.616 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 3 0.4804 0.5739 0.000 0.384 0.616 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0672 0.8170 0.984 0.000 0.008 0.008
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.3528 0.7066 0.808 0.000 0.000 0.192
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.0469 0.7586 0.000 0.012 0.988 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0707 0.8188 0.980 0.000 0.000 0.020
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 3 0.4948 0.4567 0.000 0.440 0.560 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.4761 0.3177 0.372 0.000 0.628 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.0469 0.7586 0.000 0.012 0.988 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.8441 0.000 0.000 0.000 1.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0336 0.8440 0.008 0.000 0.000 0.992
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0921 0.8181 0.972 0.000 0.000 0.028
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.0804 0.8162 0.980 0.000 0.012 0.008
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0524 0.8169 0.988 0.000 0.008 0.004
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.5105 0.2653 0.564 0.000 0.004 0.432
#> D005833F-E991-4E9E-9667-55F137288004 4 0.0188 0.8442 0.004 0.000 0.000 0.996
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0000 0.8441 0.000 0.000 0.000 1.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.4605 0.5182 0.664 0.000 0.000 0.336
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.4830 0.5623 0.000 0.392 0.608 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.4804 0.3768 0.000 0.384 0.616 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0804 0.8162 0.980 0.000 0.012 0.008
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0188 0.8166 0.996 0.000 0.004 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0707 0.8188 0.980 0.000 0.000 0.020
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 3 0.4804 0.5745 0.000 0.384 0.616 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.3400 0.6763 0.000 0.820 0.180 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0804 0.8162 0.980 0.000 0.012 0.008
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0524 0.8174 0.988 0.000 0.004 0.008
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.0469 0.7586 0.000 0.012 0.988 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0524 0.8177 0.988 0.000 0.004 0.008
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.4500 0.6414 0.000 0.316 0.684 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.0336 0.8434 0.008 0.000 0.000 0.992
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 4 0.2408 0.7864 0.104 0.000 0.000 0.896
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0188 0.8166 0.996 0.000 0.004 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.3356 0.7146 0.824 0.000 0.000 0.176
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.4819 0.4855 0.652 0.000 0.004 0.344
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.0188 0.8442 0.004 0.000 0.000 0.996
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 4 0.4977 0.0411 0.460 0.000 0.000 0.540
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 3 0.3649 0.7153 0.000 0.204 0.796 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.4866 0.4066 0.000 0.596 0.000 0.404
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.4991 0.3669 0.608 0.000 0.004 0.388
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0188 0.9017 0.000 0.996 0.004 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.1151 0.8143 0.968 0.000 0.008 0.024
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.2760 0.7530 0.000 0.872 0.128 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.3444 0.6730 0.000 0.184 0.816 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.1118 0.8330 0.036 0.000 0.000 0.964
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0188 0.9013 0.000 0.996 0.000 0.004
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.0469 0.7586 0.000 0.012 0.988 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0707 0.8190 0.980 0.000 0.000 0.020
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.8441 0.000 0.000 0.000 1.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.4866 0.4066 0.000 0.596 0.000 0.404
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0336 0.8440 0.008 0.000 0.000 0.992
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.4804 0.5739 0.000 0.384 0.616 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.4925 0.3168 0.572 0.000 0.000 0.428
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.4877 0.3287 0.592 0.000 0.000 0.408
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.2412 0.7690 0.908 0.000 0.084 0.008
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4585 0.3136 0.000 0.668 0.332 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0592 0.8140 0.984 0.000 0.016 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.4888 0.3553 0.588 0.000 0.000 0.412
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0188 0.9017 0.000 0.996 0.004 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0707 0.8188 0.980 0.000 0.000 0.020
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.4661 0.2597 0.000 0.652 0.348 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0336 0.8440 0.008 0.000 0.000 0.992
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0469 0.7586 0.000 0.012 0.988 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0336 0.8440 0.008 0.000 0.000 0.992
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0707 0.8188 0.980 0.000 0.000 0.020
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.0804 0.8162 0.980 0.000 0.012 0.008
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9053 0.000 1.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.1389 0.8003 0.952 0.000 0.000 0.048
#> C29A10D6-D598-4286-B5E0-F1776E19E988 4 0.5016 0.2700 0.396 0.000 0.004 0.600
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.4761 0.1837 0.000 0.628 0.372 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.2593 0.7847 0.000 0.892 0.104 0.004
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0707 0.8188 0.980 0.000 0.000 0.020
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.3837 0.7060 0.000 0.224 0.776 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.5167 0.1320 0.508 0.000 0.004 0.488
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.94029 0.000 1.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.4304 0.05269 0.516 0.000 0.000 0.484 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0693 0.92557 0.000 0.980 0.008 0.000 0.012
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.4249 0.19487 0.568 0.000 0.000 0.000 0.432
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0671 0.92524 0.000 0.980 0.000 0.004 0.016
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0703 0.51590 0.976 0.000 0.000 0.000 0.024
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.94029 0.000 1.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.5209 0.36500 0.000 0.376 0.584 0.020 0.020
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.4193 0.56905 0.000 0.304 0.000 0.684 0.012
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.3318 0.69736 0.180 0.000 0.012 0.000 0.808
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.4171 0.27612 0.604 0.000 0.000 0.000 0.396
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0703 0.81051 0.024 0.000 0.000 0.976 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 3 0.4706 0.64210 0.000 0.344 0.632 0.004 0.020
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.4486 0.59671 0.000 0.228 0.732 0.020 0.020
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.1617 0.70487 0.000 0.012 0.948 0.020 0.020
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.2690 0.64861 0.156 0.000 0.000 0.000 0.844
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.94029 0.000 1.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 5 0.3336 0.63769 0.228 0.000 0.000 0.000 0.772
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.94029 0.000 1.000 0.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.4090 0.45439 0.000 0.716 0.268 0.000 0.016
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0703 0.81051 0.024 0.000 0.000 0.976 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.1617 0.70487 0.000 0.012 0.948 0.020 0.020
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.4182 0.31403 0.400 0.000 0.000 0.000 0.600
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4400 0.39730 0.672 0.000 0.000 0.020 0.308
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.1557 0.50668 0.940 0.000 0.000 0.008 0.052
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.94029 0.000 1.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 5 0.4392 0.62110 0.200 0.000 0.048 0.004 0.748
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.4151 0.33998 0.652 0.000 0.000 0.344 0.004
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 5 0.4565 0.40650 0.408 0.000 0.012 0.000 0.580
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.6047 0.26636 0.592 0.000 0.012 0.120 0.276
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 3 0.3250 0.68757 0.000 0.128 0.844 0.020 0.008
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1981 0.51608 0.924 0.000 0.000 0.048 0.028
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.1892 0.73462 0.000 0.080 0.916 0.000 0.004
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.4291 0.09722 0.536 0.000 0.000 0.000 0.464
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4484 0.39483 0.668 0.000 0.000 0.024 0.308
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.4219 0.23643 0.584 0.000 0.000 0.000 0.416
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.94029 0.000 1.000 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.94029 0.000 1.000 0.000 0.000 0.000
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#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 3 0.6346 0.30815 0.000 0.432 0.444 0.112 0.012
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.5436 0.53464 0.000 0.688 0.176 0.124 0.012
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.4219 0.23643 0.584 0.000 0.000 0.000 0.416
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.4125 0.72504 0.000 0.224 0.748 0.004 0.024
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1211 0.51764 0.960 0.000 0.000 0.016 0.024
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.1812 0.7906 0.912 0.000 0.000 0.080 0.008 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.1856 0.8887 0.000 0.920 0.032 0.000 0.000 0.048
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 5 0.1196 0.8719 0.040 0.000 0.008 0.000 0.952 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.1245 0.9168 0.000 0.952 0.032 0.000 0.000 0.016
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3595 0.5578 0.704 0.000 0.008 0.000 0.288 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 6 0.7246 0.4276 0.012 0.268 0.084 0.076 0.048 0.512
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.1501 0.8790 0.000 0.076 0.000 0.924 0.000 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 3 0.3279 0.8170 0.028 0.000 0.796 0.000 0.176 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 5 0.1075 0.8767 0.048 0.000 0.000 0.000 0.952 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.1765 0.9281 0.096 0.000 0.000 0.904 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 6 0.4370 0.6918 0.000 0.268 0.048 0.000 0.004 0.680
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 6 0.6893 0.4983 0.012 0.188 0.088 0.076 0.048 0.588
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 6 0.4393 0.5999 0.012 0.000 0.084 0.072 0.048 0.784
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.3563 0.3107 0.000 0.000 0.336 0.000 0.664 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 3 0.4134 0.6660 0.028 0.000 0.656 0.000 0.316 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0260 0.9496 0.000 0.992 0.000 0.000 0.000 0.008
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.4180 0.2303 0.000 0.628 0.024 0.000 0.000 0.348
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.1765 0.9281 0.096 0.000 0.000 0.904 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 6 0.4393 0.5999 0.012 0.000 0.084 0.072 0.048 0.784
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.2165 0.7740 0.008 0.000 0.108 0.000 0.884 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 5 0.1471 0.8716 0.064 0.000 0.000 0.004 0.932 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2350 0.7997 0.880 0.000 0.020 0.000 0.100 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0146 0.9515 0.000 0.996 0.000 0.000 0.000 0.004
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.2209 0.8308 0.052 0.000 0.904 0.000 0.040 0.004
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0363 0.8445 0.988 0.000 0.000 0.000 0.012 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 3 0.3727 0.7142 0.216 0.000 0.748 0.000 0.036 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.3668 0.4884 0.668 0.000 0.328 0.000 0.004 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 6 0.5720 0.5865 0.012 0.132 0.036 0.072 0.048 0.700
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.2214 0.8074 0.888 0.000 0.016 0.000 0.096 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.1633 0.7097 0.000 0.044 0.024 0.000 0.000 0.932
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 5 0.1196 0.8719 0.040 0.000 0.008 0.000 0.952 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 5 0.1531 0.8699 0.068 0.000 0.000 0.004 0.928 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 5 0.1075 0.8767 0.048 0.000 0.000 0.000 0.952 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0260 0.9496 0.000 0.992 0.000 0.000 0.000 0.008
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0146 0.9500 0.000 0.996 0.000 0.000 0.000 0.004
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.1524 0.8071 0.932 0.000 0.000 0.060 0.008 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0363 0.8445 0.988 0.000 0.000 0.000 0.012 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0725 0.8451 0.976 0.000 0.012 0.000 0.012 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0146 0.9515 0.000 0.996 0.000 0.000 0.000 0.004
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 6 0.2933 0.6151 0.000 0.000 0.200 0.004 0.000 0.796
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 6 0.1267 0.6791 0.000 0.000 0.060 0.000 0.000 0.940
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0725 0.8451 0.976 0.000 0.012 0.000 0.012 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0725 0.8451 0.976 0.000 0.012 0.000 0.012 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0146 0.9500 0.000 0.996 0.000 0.000 0.000 0.004
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0260 0.9496 0.000 0.992 0.000 0.000 0.000 0.008
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 6 0.3719 0.7116 0.000 0.248 0.024 0.000 0.000 0.728
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0363 0.8445 0.988 0.000 0.000 0.000 0.012 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 5 0.1714 0.8566 0.092 0.000 0.000 0.000 0.908 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 5 0.1531 0.8699 0.068 0.000 0.000 0.004 0.928 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.4018 0.2359 0.580 0.000 0.008 0.000 0.412 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.2034 0.8375 0.024 0.000 0.912 0.000 0.060 0.004
#> E19D5463-FDD0-41C1-A170-323736A88D07 6 0.1176 0.7015 0.000 0.020 0.024 0.000 0.000 0.956
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.1765 0.9281 0.096 0.000 0.000 0.904 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.3695 0.2652 0.624 0.000 0.000 0.376 0.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 6 0.1176 0.7015 0.000 0.020 0.024 0.000 0.000 0.956
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 6 0.6076 0.2151 0.012 0.000 0.332 0.072 0.048 0.536
#> 54501315-7132-44B2-A179-10FBF1421105 5 0.1075 0.8767 0.048 0.000 0.000 0.000 0.952 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.1625 0.7900 0.000 0.000 0.928 0.000 0.012 0.060
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 6 0.4370 0.6918 0.000 0.268 0.048 0.000 0.004 0.680
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 5 0.2300 0.8112 0.144 0.000 0.000 0.000 0.856 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 5 0.1075 0.8358 0.000 0.000 0.048 0.000 0.952 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0725 0.8451 0.976 0.000 0.012 0.000 0.012 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0146 0.9515 0.000 0.996 0.000 0.000 0.000 0.004
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 6 0.4370 0.6918 0.000 0.268 0.048 0.000 0.004 0.680
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.3823 -0.0764 0.000 0.564 0.000 0.000 0.000 0.436
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 6 0.3636 0.6584 0.000 0.320 0.004 0.000 0.000 0.676
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.1714 0.9289 0.092 0.000 0.000 0.908 0.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 5 0.1141 0.8763 0.052 0.000 0.000 0.000 0.948 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0146 0.9500 0.000 0.996 0.000 0.000 0.000 0.004
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 5 0.3584 0.3984 0.004 0.000 0.308 0.000 0.688 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 5 0.1075 0.8767 0.048 0.000 0.000 0.000 0.952 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 6 0.1176 0.7015 0.000 0.020 0.024 0.000 0.000 0.956
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0260 0.9496 0.000 0.992 0.000 0.000 0.000 0.008
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.1444 0.9260 0.072 0.000 0.000 0.928 0.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0146 0.9515 0.000 0.996 0.000 0.000 0.000 0.004
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.4209 0.6446 0.736 0.000 0.104 0.160 0.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0146 0.9515 0.000 0.996 0.000 0.000 0.000 0.004
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 6 0.3593 0.7272 0.000 0.164 0.044 0.000 0.004 0.788
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 3 0.2748 0.8399 0.024 0.000 0.848 0.000 0.128 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.1765 0.9281 0.096 0.000 0.000 0.904 0.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 5 0.1644 0.8669 0.076 0.000 0.000 0.004 0.920 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.1444 0.9260 0.072 0.000 0.000 0.928 0.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 3 0.2510 0.8443 0.028 0.000 0.872 0.000 0.100 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.3323 0.6450 0.752 0.000 0.008 0.000 0.240 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 3 0.2933 0.7948 0.000 0.000 0.796 0.000 0.200 0.004
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.1625 0.7900 0.000 0.000 0.928 0.000 0.012 0.060
#> 6D960AE7-3769-4144-A061-E8588E5063FF 3 0.4409 0.5351 0.032 0.000 0.588 0.000 0.380 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 6 0.1176 0.7015 0.000 0.020 0.024 0.000 0.000 0.956
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.1501 0.8790 0.000 0.076 0.000 0.924 0.000 0.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0146 0.9515 0.000 0.996 0.000 0.000 0.000 0.004
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 6 0.3565 0.6684 0.000 0.304 0.004 0.000 0.000 0.692
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 4 0.1444 0.8826 0.000 0.072 0.000 0.928 0.000 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 5 0.1141 0.8763 0.052 0.000 0.000 0.000 0.948 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 5 0.3133 0.7396 0.212 0.000 0.008 0.000 0.780 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0725 0.8451 0.976 0.000 0.012 0.000 0.012 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0508 0.8435 0.984 0.000 0.000 0.004 0.012 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 5 0.1806 0.8571 0.088 0.000 0.000 0.004 0.908 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 6 0.4370 0.6918 0.000 0.268 0.048 0.000 0.004 0.680
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0146 0.9515 0.000 0.996 0.000 0.000 0.000 0.004
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 6 0.4370 0.6918 0.000 0.268 0.048 0.000 0.004 0.680
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 3 0.4154 0.8040 0.096 0.000 0.740 0.000 0.164 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 5 0.4076 0.1962 0.452 0.000 0.008 0.000 0.540 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 6 0.0909 0.7027 0.000 0.020 0.012 0.000 0.000 0.968
#> 0099098D-354A-4276-92F8-B932C74B4608 5 0.1075 0.8767 0.048 0.000 0.000 0.000 0.952 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 6 0.3758 0.6441 0.000 0.324 0.008 0.000 0.000 0.668
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.1765 0.8005 0.000 0.000 0.924 0.000 0.024 0.052
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 6 0.1176 0.7015 0.000 0.020 0.024 0.000 0.000 0.956
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.3843 -0.0050 0.548 0.000 0.000 0.452 0.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.1714 0.9289 0.092 0.000 0.000 0.908 0.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0260 0.9496 0.000 0.992 0.000 0.000 0.000 0.008
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 5 0.3653 0.5840 0.300 0.000 0.008 0.000 0.692 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.1972 0.8359 0.024 0.000 0.916 0.000 0.056 0.004
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 5 0.1444 0.8197 0.000 0.000 0.072 0.000 0.928 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.1434 0.8291 0.940 0.000 0.048 0.000 0.012 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0717 0.8382 0.976 0.000 0.000 0.016 0.008 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.3515 0.4033 0.676 0.000 0.000 0.324 0.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 5 0.3965 0.3847 0.388 0.000 0.008 0.000 0.604 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 6 0.3898 0.6768 0.000 0.296 0.020 0.000 0.000 0.684
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 6 0.7246 0.4276 0.012 0.268 0.084 0.076 0.048 0.512
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 3 0.3108 0.8409 0.044 0.000 0.828 0.000 0.128 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 5 0.1267 0.8229 0.000 0.000 0.060 0.000 0.940 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 5 0.1075 0.8767 0.048 0.000 0.000 0.000 0.952 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 6 0.3886 0.7027 0.000 0.264 0.028 0.000 0.000 0.708
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.2822 0.7907 0.000 0.852 0.040 0.000 0.000 0.108
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 3 0.2786 0.8438 0.056 0.000 0.860 0.000 0.084 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 3 0.4173 0.7636 0.060 0.000 0.712 0.000 0.228 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 6 0.1092 0.7022 0.000 0.020 0.020 0.000 0.000 0.960
#> DD4BD74D-D48C-4090-9F57-5334E784581C 3 0.4218 0.2917 0.428 0.000 0.556 0.000 0.016 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 6 0.4167 0.7141 0.000 0.236 0.056 0.000 0.000 0.708
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0725 0.8402 0.976 0.000 0.000 0.012 0.012 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0363 0.8445 0.988 0.000 0.000 0.000 0.012 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 3 0.3857 0.3277 0.000 0.000 0.532 0.000 0.468 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 5 0.1285 0.8756 0.052 0.000 0.000 0.004 0.944 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.1858 0.7976 0.904 0.000 0.092 0.000 0.004 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0146 0.9500 0.000 0.996 0.000 0.000 0.000 0.004
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0972 0.9294 0.000 0.964 0.028 0.000 0.000 0.008
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0777 0.8333 0.972 0.000 0.000 0.024 0.004 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0260 0.9496 0.000 0.992 0.000 0.000 0.000 0.008
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.3534 0.5902 0.716 0.000 0.008 0.000 0.276 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0405 0.9481 0.000 0.988 0.000 0.004 0.000 0.008
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 6 0.1913 0.7203 0.000 0.080 0.012 0.000 0.000 0.908
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.1444 0.8826 0.000 0.072 0.000 0.928 0.000 0.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.1700 0.8067 0.916 0.000 0.080 0.000 0.004 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.1723 0.8985 0.000 0.928 0.036 0.000 0.000 0.036
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 3 0.4294 0.6894 0.248 0.000 0.692 0.000 0.060 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 6 0.3868 0.3219 0.000 0.492 0.000 0.000 0.000 0.508
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 6 0.6699 0.5181 0.012 0.160 0.088 0.076 0.048 0.616
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0146 0.9515 0.000 0.996 0.000 0.000 0.000 0.004
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0622 0.8419 0.980 0.000 0.000 0.008 0.012 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.2178 0.7991 0.000 0.868 0.000 0.132 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9516 0.000 1.000 0.000 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 6 0.0993 0.6968 0.000 0.012 0.024 0.000 0.000 0.964
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.4396 0.0397 0.520 0.000 0.024 0.000 0.456 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.3797 0.3705 0.420 0.000 0.000 0.580 0.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.1444 0.8826 0.000 0.072 0.000 0.928 0.000 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.1444 0.9260 0.072 0.000 0.000 0.928 0.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 6 0.4370 0.6918 0.000 0.268 0.048 0.000 0.004 0.680
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 5 0.4086 0.1542 0.464 0.000 0.008 0.000 0.528 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 5 0.2112 0.8091 0.016 0.000 0.000 0.088 0.896 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0260 0.9496 0.000 0.992 0.000 0.000 0.000 0.008
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 3 0.3111 0.8060 0.124 0.000 0.836 0.000 0.032 0.008
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0146 0.9515 0.000 0.996 0.000 0.000 0.000 0.004
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 6 0.3868 0.2942 0.000 0.492 0.000 0.000 0.000 0.508
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 3 0.2595 0.8239 0.004 0.000 0.836 0.000 0.160 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.1745 0.8240 0.920 0.000 0.012 0.000 0.068 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0146 0.9515 0.000 0.996 0.000 0.000 0.000 0.004
#> C71FF69B-A460-43CA-8769-9667F22D938B 5 0.1075 0.8767 0.048 0.000 0.000 0.000 0.952 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 6 0.3737 0.5413 0.000 0.392 0.000 0.000 0.000 0.608
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.1765 0.9281 0.096 0.000 0.000 0.904 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 6 0.4495 0.5952 0.012 0.000 0.088 0.076 0.048 0.776
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.1333 0.9052 0.000 0.944 0.000 0.048 0.000 0.008
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0363 0.9446 0.000 0.988 0.012 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.1714 0.9289 0.092 0.000 0.000 0.908 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 5 0.1075 0.8767 0.048 0.000 0.000 0.000 0.952 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.1913 0.8363 0.012 0.000 0.908 0.000 0.080 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.1408 0.9140 0.000 0.944 0.036 0.000 0.000 0.020
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.1349 0.8291 0.004 0.000 0.056 0.000 0.940 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0909 0.8437 0.968 0.000 0.020 0.000 0.012 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 6 0.5881 0.4697 0.000 0.296 0.000 0.232 0.000 0.472
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.5175 0.4124 0.000 0.620 0.000 0.196 0.000 0.184
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 5 0.1075 0.8767 0.048 0.000 0.000 0.000 0.952 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.4357 0.7158 0.000 0.224 0.076 0.000 0.000 0.700
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2170 0.8032 0.888 0.000 0.012 0.000 0.100 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 18133 rows and 198 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 1.000 0.965 0.986 0.5026 0.498 0.498
#> 3 3 0.775 0.859 0.920 0.2159 0.879 0.760
#> 4 4 0.792 0.853 0.923 0.0935 0.947 0.866
#> 5 5 0.700 0.744 0.830 0.0928 0.914 0.759
#> 6 6 0.721 0.697 0.837 0.0764 0.892 0.636
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.000 0.981 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.000 0.990 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.000 0.981 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.000 0.990 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.000 0.981 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.000 0.990 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.000 0.981 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.000 0.981 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.000 0.981 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.000 0.990 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.000 0.990 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.000 0.990 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.000 0.981 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.000 0.981 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.000 0.981 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.000 0.990 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.000 0.981 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.000 0.990 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.000 0.981 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.000 0.981 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.000 0.990 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.000 0.981 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.000 0.990 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.000 0.990 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.000 0.990 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.000 0.981 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.000 0.990 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.000 0.990 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.000 0.990 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.000 0.990 1.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.000 0.981 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.000 0.990 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.000 0.981 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.000 0.990 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.000 0.990 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.000 0.990 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.000 0.981 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.000 0.981 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.000 0.990 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.000 0.990 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.000 0.990 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.000 0.981 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.541 0.853 0.124 0.876
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.000 0.981 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.000 0.981 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.000 0.990 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.000 0.990 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.000 0.981 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.000 0.981 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.000 0.981 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.000 0.990 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.000 0.990 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.000 0.990 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.000 0.990 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.000 0.990 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.000 0.981 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.000 0.990 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.000 0.990 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.000 0.981 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.000 0.981 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.000 0.990 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 2 0.760 0.723 0.220 0.780
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.000 0.981 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.000 0.990 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.000 0.981 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.000 0.990 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.000 0.990 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.000 0.981 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.000 0.981 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.000 0.981 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.000 0.981 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.000 0.990 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.000 0.990 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.000 0.981 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.000 0.990 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.000 0.990 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.000 0.981 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.000 0.981 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.936 0.444 0.648 0.352
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.000 0.981 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.000 0.990 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.000 0.981 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.000 0.981 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.000 0.981 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.000 0.990 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.000 0.990 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.000 0.990 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.997 0.129 0.468 0.532
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.000 0.990 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.000 0.990 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.000 0.990 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 2 0.808 0.677 0.248 0.752
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.000 0.990 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.000 0.981 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.482 0.877 0.104 0.896
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.000 0.981 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.000 0.981 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.781 0.703 0.232 0.768
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.000 0.990 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.000 0.990 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.000 0.990 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.000 0.990 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.000 0.990 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.000 0.981 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.000 0.981 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.000 0.981 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.000 0.981 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.000 0.990 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.000 0.990 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.000 0.981 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.000 0.990 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.000 0.981 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.000 0.981 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.781 0.688 0.768 0.232
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.000 0.981 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.000 0.981 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.000 0.981 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.000 0.990 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.000 0.990 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.000 0.981 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.000 0.990 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.000 0.990 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.000 0.990 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.000 0.990 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.000 0.990 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.000 0.990 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.000 0.990 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.000 0.981 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.000 0.981 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.000 0.981 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.000 0.990 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.000 0.990 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.000 0.990 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.000 0.981 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 1 0.983 0.255 0.576 0.424
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.000 0.990 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.000 0.981 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.000 0.990 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.000 0.981 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.000 0.990 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.000 0.981 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.000 0.990 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.000 0.990 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.000 0.990 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.000 0.990 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.000 0.990 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.000 0.981 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.000 0.981 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.000 0.990 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.000 0.981 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.000 0.990 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.000 0.981 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.000 0.981 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.000 0.981 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.000 0.990 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.000 0.981 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.000 0.981 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.000 0.990 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.000 0.981 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.000 0.981 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.000 0.981 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.000 0.981 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.000 0.990 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.000 0.981 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.000 0.981 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.000 0.981 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.000 0.981 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.000 0.990 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.000 0.990 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.000 0.981 0.000 1.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.966 0.368 0.392 0.608
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.000 0.981 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.000 0.990 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.000 0.990 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.000 0.981 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.000 0.990 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.000 0.981 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.000 0.981 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.000 0.990 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.000 0.990 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.000 0.981 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.000 0.990 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.000 0.981 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.000 0.990 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.000 0.981 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.000 0.981 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.000 0.981 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.000 0.990 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.000 0.990 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.000 0.990 1.000 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.000 0.981 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.000 0.990 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.000 0.990 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.000 0.981 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.000 0.981 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.000 0.990 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.000 0.981 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.000 0.990 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9608 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 3 0.5810 0.6384 0.336 0.000 0.664
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0237 0.9599 0.000 0.996 0.004
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1163 0.9037 0.972 0.000 0.028
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9608 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.9092 1.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9608 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.3412 0.8794 0.000 0.876 0.124
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 3 0.4883 0.7250 0.004 0.208 0.788
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0237 0.9072 0.996 0.000 0.004
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.1163 0.9037 0.972 0.000 0.028
#> 755A5806-B054-449A-93DB-79909E6C93A1 3 0.4291 0.7913 0.180 0.000 0.820
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0424 0.9586 0.000 0.992 0.008
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.3412 0.8794 0.000 0.876 0.124
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.4291 0.8428 0.000 0.820 0.180
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.1163 0.9037 0.972 0.000 0.028
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9608 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.9092 1.000 0.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9608 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0237 0.9599 0.000 0.996 0.004
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 3 0.4291 0.7913 0.180 0.000 0.820
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.4291 0.8428 0.000 0.820 0.180
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.1163 0.9037 0.972 0.000 0.028
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.1529 0.8974 0.960 0.000 0.040
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.9092 1.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9608 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.5968 0.4074 0.636 0.000 0.364
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.4452 0.7099 0.808 0.000 0.192
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0237 0.9072 0.996 0.000 0.004
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0237 0.9072 0.996 0.000 0.004
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.1860 0.9365 0.000 0.948 0.052
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.9092 1.000 0.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.2066 0.9369 0.000 0.940 0.060
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.1529 0.8977 0.960 0.000 0.040
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.1529 0.8978 0.960 0.000 0.040
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.1163 0.9037 0.972 0.000 0.028
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9608 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9608 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.3879 0.7713 0.848 0.000 0.152
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.9092 1.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.9092 1.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9608 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.7505 0.6375 0.160 0.696 0.144
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9608 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.4473 0.8512 0.008 0.828 0.164
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.9092 1.000 0.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.9092 1.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.9608 0.000 1.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9608 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0237 0.9599 0.000 0.996 0.004
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.9092 1.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.1163 0.9037 0.972 0.000 0.028
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.1529 0.8974 0.960 0.000 0.040
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.9092 1.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.5988 0.4010 0.632 0.000 0.368
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.2066 0.9369 0.000 0.940 0.060
#> CE4B6285-4961-4767-91F0-5C7A8162E185 3 0.4291 0.7913 0.180 0.000 0.820
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 3 0.5760 0.6404 0.328 0.000 0.672
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.2066 0.9369 0.000 0.940 0.060
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.5797 0.7078 0.008 0.712 0.280
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.1163 0.9037 0.972 0.000 0.028
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.9332 0.0742 0.164 0.404 0.432
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.1964 0.9377 0.000 0.944 0.056
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.1163 0.9037 0.972 0.000 0.028
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9608 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.1163 0.9037 0.972 0.000 0.028
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.9092 1.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9608 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0237 0.9599 0.000 0.996 0.004
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.1289 0.9500 0.000 0.968 0.032
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.1964 0.9377 0.000 0.944 0.056
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 3 0.4291 0.7913 0.180 0.000 0.820
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.9092 1.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9608 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 3 0.4796 0.7448 0.220 0.000 0.780
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.1163 0.9037 0.972 0.000 0.028
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.2066 0.9369 0.000 0.940 0.060
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9608 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 3 0.5111 0.7661 0.036 0.144 0.820
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9608 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 3 0.5431 0.6783 0.284 0.000 0.716
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9608 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9608 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.3879 0.8672 0.000 0.848 0.152
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.9092 1.000 0.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 3 0.4291 0.7913 0.180 0.000 0.820
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.1753 0.8922 0.952 0.000 0.048
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.4645 0.7526 0.008 0.176 0.816
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.4291 0.7376 0.820 0.000 0.180
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.9092 1.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.6095 0.3798 0.608 0.000 0.392
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.9281 0.2698 0.172 0.340 0.488
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.9092 1.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.3941 0.8653 0.000 0.844 0.156
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.5406 0.7311 0.020 0.200 0.780
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9608 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.1964 0.9377 0.000 0.944 0.056
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 3 0.4840 0.7573 0.016 0.168 0.816
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0424 0.9083 0.992 0.000 0.008
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0237 0.9089 0.996 0.000 0.004
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.9092 1.000 0.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.9092 1.000 0.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.1163 0.9037 0.972 0.000 0.028
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.1964 0.9377 0.000 0.944 0.056
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9608 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.9608 0.000 1.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9608 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.9092 1.000 0.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.9092 1.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.2066 0.9369 0.000 0.940 0.060
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.1163 0.9037 0.972 0.000 0.028
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9608 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0237 0.9599 0.000 0.996 0.004
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.6813 0.1422 0.520 0.012 0.468
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9608 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9608 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.2066 0.9369 0.000 0.940 0.060
#> 8EA83042-D598-401D-AD78-936EEB136C59 3 0.4796 0.7666 0.220 0.000 0.780
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 3 0.4291 0.7913 0.180 0.000 0.820
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9608 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.9092 1.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.5650 0.4967 0.688 0.000 0.312
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.1860 0.8860 0.948 0.000 0.052
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.3816 0.7722 0.852 0.000 0.148
#> D005833F-E991-4E9E-9667-55F137288004 1 0.5465 0.4651 0.712 0.000 0.288
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 3 0.5882 0.6183 0.348 0.000 0.652
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.9092 1.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.2066 0.9369 0.000 0.940 0.060
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.3644 0.8762 0.004 0.872 0.124
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9608 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.9092 1.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.1163 0.9037 0.972 0.000 0.028
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.1163 0.9037 0.972 0.000 0.028
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.2066 0.9369 0.000 0.940 0.060
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 1 0.6467 0.1972 0.604 0.388 0.008
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.2959 0.8297 0.900 0.000 0.100
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9608 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0237 0.9089 0.996 0.000 0.004
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.2066 0.9369 0.000 0.940 0.060
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.9092 1.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.2550 0.9339 0.024 0.936 0.040
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.1643 0.8821 0.956 0.000 0.044
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.9092 1.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.5810 0.4981 0.664 0.000 0.336
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.1163 0.9037 0.972 0.000 0.028
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.9092 1.000 0.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9608 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0237 0.9599 0.000 0.996 0.004
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.2711 0.8375 0.912 0.000 0.088
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9608 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.9092 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0237 0.9599 0.000 0.996 0.004
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.2066 0.9369 0.000 0.940 0.060
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.4654 0.7221 0.000 0.208 0.792
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.3038 0.8252 0.896 0.000 0.104
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0237 0.9599 0.000 0.996 0.004
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9608 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.4504 0.7063 0.804 0.000 0.196
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0237 0.9599 0.000 0.996 0.004
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9608 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.3826 0.8729 0.008 0.868 0.124
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9608 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.1163 0.9040 0.972 0.000 0.028
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9608 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.3116 0.8610 0.000 0.892 0.108
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9608 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.3412 0.8935 0.000 0.876 0.124
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.9092 1.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 3 0.5560 0.6704 0.300 0.000 0.700
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.4605 0.7286 0.000 0.204 0.796
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.4934 0.7620 0.024 0.156 0.820
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.2066 0.9369 0.000 0.940 0.060
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.9092 1.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 3 0.4555 0.7790 0.200 0.000 0.800
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0237 0.9599 0.000 0.996 0.004
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.5254 0.6203 0.736 0.000 0.264
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9608 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9608 0.000 1.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.5882 0.4588 0.652 0.000 0.348
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.9092 1.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9608 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.1163 0.9037 0.972 0.000 0.028
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9608 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 3 0.4291 0.7913 0.180 0.000 0.820
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.4291 0.8428 0.000 0.820 0.180
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0237 0.9599 0.000 0.996 0.004
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9608 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 3 0.4291 0.7913 0.180 0.000 0.820
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.1031 0.9048 0.976 0.000 0.024
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.0237 0.9072 0.996 0.000 0.004
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0983 0.9508 0.016 0.980 0.004
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.5968 0.4108 0.636 0.000 0.364
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.1860 0.8768 0.948 0.000 0.052
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.9608 0.000 1.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.9608 0.000 1.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0237 0.9090 0.996 0.000 0.004
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.1129 0.9480 0.020 0.976 0.004
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.9092 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.932 0.000 1.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.1211 0.868 0.040 0.000 0.000 0.960
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0336 0.929 0.000 0.992 0.008 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.3542 0.880 0.852 0.000 0.120 0.028
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.932 0.000 1.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.914 1.000 0.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.932 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.3764 0.781 0.000 0.216 0.784 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.3831 0.656 0.004 0.204 0.000 0.792
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.914 1.000 0.000 0.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.2214 0.907 0.928 0.000 0.044 0.028
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.895 0.000 0.000 0.000 1.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0336 0.928 0.000 0.992 0.008 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.3764 0.781 0.000 0.216 0.784 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.2647 0.801 0.000 0.120 0.880 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.3542 0.880 0.852 0.000 0.120 0.028
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.932 0.000 1.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0188 0.913 0.996 0.000 0.004 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.932 0.000 1.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0188 0.930 0.000 0.996 0.004 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.895 0.000 0.000 0.000 1.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.2647 0.801 0.000 0.120 0.880 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.3485 0.882 0.856 0.000 0.116 0.028
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.2408 0.905 0.920 0.000 0.044 0.036
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#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.6118 0.719 0.672 0.000 0.120 0.208
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.1637 0.894 0.940 0.000 0.000 0.060
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.932 0.000 1.000 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.932 0.000 1.000 0.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.1489 0.912 0.952 0.000 0.044 0.004
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.1767 0.886 0.044 0.944 0.012 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.914 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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0404 0.8418 0.000 0.988 0.000 0.000 0.012
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.0798 0.7969 0.016 0.000 0.000 0.976 0.008
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.3774 0.6476 0.000 0.704 0.000 0.000 0.296
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.4419 0.7995 0.740 0.000 0.044 0.004 0.212
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.1410 0.8360 0.000 0.940 0.000 0.000 0.060
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0162 0.8753 0.996 0.000 0.000 0.000 0.004
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.3395 0.7133 0.000 0.764 0.000 0.000 0.236
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.1251 0.8393 0.000 0.036 0.956 0.000 0.008
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.4446 0.1390 0.000 0.476 0.000 0.520 0.004
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0609 0.8738 0.980 0.000 0.000 0.000 0.020
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.8122 0.000 0.000 0.000 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.4235 0.2927 0.000 0.576 0.000 0.000 0.424
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.1121 0.8651 0.000 0.000 0.956 0.000 0.044
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.1121 0.8651 0.000 0.000 0.956 0.000 0.044
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.4450 0.7974 0.736 0.000 0.044 0.004 0.216
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0963 0.8401 0.000 0.964 0.000 0.000 0.036
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0510 0.8762 0.984 0.000 0.000 0.000 0.016
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.2230 0.8050 0.000 0.884 0.000 0.000 0.116
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.3561 0.6884 0.000 0.740 0.000 0.000 0.260
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.8122 0.000 0.000 0.000 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.1121 0.8651 0.000 0.000 0.956 0.000 0.044
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.4256 0.8086 0.760 0.000 0.044 0.004 0.192
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.8757 1.000 0.000 0.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0703 0.8435 0.000 0.976 0.000 0.000 0.024
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.7016 0.2755 0.476 0.000 0.044 0.136 0.344
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.2966 0.7947 0.848 0.000 0.000 0.136 0.016
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.1270 0.8605 0.948 0.000 0.000 0.000 0.052
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.1608 0.8487 0.928 0.000 0.000 0.000 0.072
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 3 0.6763 -0.1803 0.000 0.332 0.392 0.000 0.276
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0609 0.8727 0.980 0.000 0.000 0.000 0.020
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 5 0.3424 0.7358 0.000 0.240 0.000 0.000 0.760
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.4419 0.7995 0.740 0.000 0.044 0.004 0.212
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.2873 0.8634 0.860 0.000 0.000 0.020 0.120
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0290 0.8421 0.000 0.992 0.000 0.000 0.008
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.1043 0.8330 0.000 0.960 0.000 0.000 0.040
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.3455 0.7626 0.784 0.000 0.000 0.208 0.008
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0404 0.8742 0.988 0.000 0.000 0.000 0.012
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0404 0.8741 0.988 0.000 0.000 0.000 0.012
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.2280 0.8016 0.000 0.880 0.000 0.000 0.120
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 5 0.4535 0.5891 0.124 0.084 0.016 0.000 0.776
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0162 0.8422 0.000 0.996 0.000 0.000 0.004
#> 51061018-95AB-4278-886F-F69E4EBC47C0 5 0.4503 0.6345 0.092 0.112 0.016 0.000 0.780
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0510 0.8733 0.984 0.000 0.000 0.000 0.016
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0404 0.8741 0.988 0.000 0.000 0.000 0.012
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.1671 0.8210 0.000 0.924 0.000 0.000 0.076
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0510 0.8429 0.000 0.984 0.000 0.000 0.016
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.3857 0.6272 0.000 0.688 0.000 0.000 0.312
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0290 0.8746 0.992 0.000 0.000 0.000 0.008
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0510 0.8774 0.984 0.000 0.000 0.000 0.016
#> C775B68F-9507-47E3-B507-B433AED79002 5 0.5355 0.1558 0.340 0.000 0.044 0.012 0.604
#> E19D5463-FDD0-41C1-A170-323736A88D07 5 0.3521 0.7394 0.000 0.232 0.004 0.000 0.764
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.8122 0.000 0.000 0.000 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0451 0.8061 0.004 0.000 0.000 0.988 0.008
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 5 0.3395 0.7382 0.000 0.236 0.000 0.000 0.764
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0794 0.8559 0.000 0.000 0.972 0.000 0.028
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 5 0.5274 -0.0567 0.064 0.000 0.336 0.000 0.600
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 5 0.4300 0.3927 0.000 0.476 0.000 0.000 0.524
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.1043 0.8330 0.000 0.960 0.000 0.000 0.040
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.4419 0.7995 0.740 0.000 0.044 0.004 0.212
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0510 0.8733 0.984 0.000 0.000 0.000 0.016
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.4118 0.5862 0.000 0.660 0.004 0.000 0.336
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.4278 0.2046 0.000 0.548 0.000 0.000 0.452
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 5 0.3969 0.6746 0.000 0.304 0.004 0.000 0.692
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.8122 0.000 0.000 0.000 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0162 0.8764 0.996 0.000 0.000 0.000 0.004
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.1671 0.8210 0.000 0.924 0.000 0.000 0.076
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.5203 0.4910 0.028 0.000 0.044 0.688 0.240
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 5 0.3395 0.7382 0.000 0.236 0.000 0.000 0.764
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.3210 0.7299 0.000 0.788 0.000 0.000 0.212
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.8122 0.000 0.000 0.000 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.4860 0.3892 0.292 0.000 0.028 0.668 0.012
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 5 0.5159 0.6144 0.000 0.144 0.164 0.000 0.692
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0404 0.8753 0.988 0.000 0.000 0.000 0.012
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0000 0.8122 0.000 0.000 0.000 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.2946 0.8557 0.868 0.000 0.000 0.088 0.044
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0000 0.8122 0.000 0.000 0.000 1.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.6324 0.6425 0.628 0.000 0.044 0.136 0.192
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.1270 0.8770 0.948 0.000 0.000 0.000 0.052
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 5 0.5071 0.1220 0.260 0.000 0.044 0.016 0.680
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.4589 0.6241 0.064 0.000 0.724 0.000 0.212
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.8757 1.000 0.000 0.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 5 0.3759 0.7404 0.000 0.220 0.016 0.000 0.764
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.4464 0.3140 0.000 0.408 0.000 0.584 0.008
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 5 0.3816 0.6722 0.000 0.304 0.000 0.000 0.696
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 4 0.4443 0.1520 0.000 0.472 0.000 0.524 0.004
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.2280 0.8674 0.880 0.000 0.000 0.000 0.120
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0290 0.8757 0.992 0.000 0.000 0.000 0.008
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0609 0.8727 0.980 0.000 0.000 0.000 0.020
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0290 0.8746 0.992 0.000 0.000 0.000 0.008
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 5 0.3928 0.6853 0.000 0.296 0.004 0.000 0.700
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0162 0.8422 0.000 0.996 0.000 0.000 0.004
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.4084 0.5380 0.000 0.668 0.004 0.000 0.328
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.2280 0.8674 0.880 0.000 0.000 0.000 0.120
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.2280 0.8674 0.880 0.000 0.000 0.000 0.120
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 5 0.3612 0.7403 0.000 0.228 0.008 0.000 0.764
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.3983 0.5820 0.000 0.660 0.000 0.000 0.340
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 5 0.4184 -0.0130 0.016 0.000 0.284 0.000 0.700
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 5 0.3759 0.7403 0.000 0.220 0.016 0.000 0.764
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.1300 0.7792 0.028 0.000 0.000 0.956 0.016
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.8122 0.000 0.000 0.000 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.2773 0.7704 0.000 0.836 0.000 0.000 0.164
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.2280 0.8674 0.880 0.000 0.000 0.000 0.120
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.6104 0.6323 0.656 0.000 0.044 0.140 0.160
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.5247 0.7736 0.696 0.000 0.044 0.036 0.224
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.2707 0.8022 0.860 0.000 0.000 0.132 0.008
#> D005833F-E991-4E9E-9667-55F137288004 1 0.4290 0.5132 0.680 0.000 0.000 0.304 0.016
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.1082 0.7855 0.028 0.000 0.000 0.964 0.008
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.2230 0.8685 0.884 0.000 0.000 0.000 0.116
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 5 0.3395 0.7382 0.000 0.236 0.000 0.000 0.764
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.1251 0.8393 0.000 0.036 0.956 0.000 0.008
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0510 0.8746 0.984 0.000 0.000 0.000 0.016
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.4419 0.7995 0.740 0.000 0.044 0.004 0.212
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 5 0.3814 0.6915 0.000 0.276 0.004 0.000 0.720
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.4613 0.4942 0.200 0.728 0.000 0.000 0.072
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.5828 0.6690 0.684 0.000 0.044 0.120 0.152
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.4355 0.7981 0.732 0.000 0.044 0.000 0.224
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 5 0.3395 0.7382 0.000 0.236 0.000 0.000 0.764
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.8757 1.000 0.000 0.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 5 0.5953 0.2755 0.112 0.384 0.000 0.000 0.504
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.1408 0.8612 0.948 0.000 0.000 0.044 0.008
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0510 0.8733 0.984 0.000 0.000 0.000 0.016
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.6787 0.6191 0.552 0.000 0.044 0.140 0.264
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0510 0.8733 0.984 0.000 0.000 0.000 0.016
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.1043 0.8330 0.000 0.960 0.000 0.000 0.040
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.1197 0.8372 0.000 0.952 0.000 0.000 0.048
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.1764 0.8498 0.928 0.000 0.000 0.064 0.008
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0794 0.8430 0.000 0.972 0.000 0.000 0.028
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.8757 1.000 0.000 0.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.3336 0.7183 0.000 0.772 0.000 0.000 0.228
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 5 0.3707 0.6926 0.000 0.284 0.000 0.000 0.716
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.4557 0.1298 0.000 0.476 0.000 0.516 0.008
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.3414 0.8021 0.844 0.000 0.020 0.116 0.020
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.4025 0.6465 0.000 0.700 0.008 0.000 0.292
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.5582 0.6905 0.708 0.000 0.044 0.136 0.112
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.3816 0.6374 0.000 0.696 0.000 0.000 0.304
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.1121 0.8651 0.000 0.000 0.956 0.000 0.044
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0609 0.8442 0.000 0.980 0.000 0.000 0.020
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.1894 0.8659 0.920 0.000 0.000 0.072 0.008
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0693 0.8349 0.000 0.980 0.000 0.012 0.008
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.8419 0.000 1.000 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 5 0.4252 0.7028 0.000 0.172 0.064 0.000 0.764
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2127 0.8702 0.892 0.000 0.000 0.000 0.108
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.8122 0.000 0.000 0.000 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.2488 0.6728 0.000 0.124 0.000 0.872 0.004
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.8122 0.000 0.000 0.000 1.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 5 0.3607 0.7364 0.000 0.244 0.004 0.000 0.752
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.8757 1.000 0.000 0.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.0000 0.8122 0.000 0.000 0.000 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.1732 0.8289 0.000 0.920 0.000 0.000 0.080
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 5 0.5465 0.1410 0.376 0.000 0.044 0.012 0.568
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0162 0.8422 0.000 0.996 0.000 0.000 0.004
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.3336 0.7180 0.000 0.772 0.000 0.000 0.228
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.6885 0.6193 0.552 0.000 0.052 0.144 0.252
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0290 0.8746 0.992 0.000 0.000 0.000 0.008
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.3612 0.6750 0.000 0.732 0.000 0.000 0.268
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.3661 0.6673 0.000 0.724 0.000 0.000 0.276
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.8122 0.000 0.000 0.000 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.1121 0.8651 0.000 0.000 0.956 0.000 0.044
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.3480 0.6996 0.000 0.752 0.000 0.000 0.248
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0162 0.8422 0.000 0.996 0.000 0.000 0.004
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.8122 0.000 0.000 0.000 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.3386 0.8533 0.832 0.000 0.040 0.000 0.128
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.3573 0.7931 0.812 0.000 0.036 0.000 0.152
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.2554 0.7801 0.036 0.892 0.000 0.000 0.072
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.6638 0.6613 0.588 0.000 0.044 0.156 0.212
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.1774 0.8557 0.932 0.000 0.000 0.052 0.016
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.3508 0.6934 0.000 0.748 0.000 0.000 0.252
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.1043 0.8392 0.000 0.960 0.000 0.000 0.040
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.2439 0.8666 0.876 0.000 0.000 0.004 0.120
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.5719 0.4008 0.096 0.552 0.000 0.000 0.352
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0290 0.8746 0.992 0.000 0.000 0.000 0.008
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.1714 0.7870 0.000 0.908 0.000 0.000 0.000 0.092
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.2563 0.7197 0.052 0.000 0.000 0.876 0.072 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 6 0.3810 0.2246 0.000 0.428 0.000 0.000 0.000 0.572
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 5 0.2996 0.7296 0.228 0.000 0.000 0.000 0.772 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.3175 0.6219 0.000 0.744 0.000 0.000 0.000 0.256
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0547 0.8473 0.980 0.000 0.000 0.000 0.020 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.3789 0.2497 0.000 0.584 0.000 0.000 0.000 0.416
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.9992 0.000 0.000 1.000 0.000 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.3907 0.2389 0.000 0.408 0.000 0.588 0.000 0.004
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.1863 0.8263 0.896 0.000 0.000 0.000 0.104 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.2697 0.7919 0.812 0.000 0.000 0.000 0.188 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.8045 0.000 0.000 0.000 1.000 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 6 0.3833 0.2694 0.000 0.444 0.000 0.000 0.000 0.556
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 0.9992 0.000 0.000 1.000 0.000 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0000 0.9992 0.000 0.000 1.000 0.000 0.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.2135 0.7344 0.128 0.000 0.000 0.000 0.872 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.1863 0.7706 0.000 0.896 0.000 0.000 0.000 0.104
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.1265 0.8471 0.948 0.000 0.000 0.000 0.044 0.008
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.2730 0.7134 0.000 0.808 0.000 0.000 0.000 0.192
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 6 0.3854 0.1104 0.000 0.464 0.000 0.000 0.000 0.536
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.8045 0.000 0.000 0.000 1.000 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.0146 0.9942 0.000 0.000 0.996 0.000 0.000 0.004
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.3151 0.7309 0.252 0.000 0.000 0.000 0.748 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.2597 0.7972 0.824 0.000 0.000 0.000 0.176 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0713 0.8459 0.972 0.000 0.000 0.000 0.028 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.1556 0.8012 0.000 0.920 0.000 0.000 0.000 0.080
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 5 0.2697 0.6206 0.188 0.000 0.000 0.000 0.812 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.1663 0.8258 0.912 0.000 0.000 0.000 0.088 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.1663 0.8316 0.912 0.000 0.000 0.000 0.088 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.2234 0.8003 0.872 0.000 0.000 0.000 0.124 0.004
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 6 0.5616 0.4132 0.000 0.156 0.352 0.000 0.000 0.492
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1714 0.8239 0.908 0.000 0.000 0.000 0.092 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.0146 0.7209 0.000 0.004 0.000 0.000 0.000 0.996
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 5 0.2912 0.7298 0.216 0.000 0.000 0.000 0.784 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.3453 0.7797 0.792 0.000 0.000 0.044 0.164 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.2697 0.7919 0.812 0.000 0.000 0.000 0.188 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.1327 0.8016 0.000 0.936 0.000 0.000 0.000 0.064
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.1204 0.7957 0.000 0.944 0.000 0.000 0.000 0.056
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.4024 0.7151 0.744 0.000 0.000 0.184 0.072 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.1610 0.8278 0.916 0.000 0.000 0.000 0.084 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.1556 0.8294 0.920 0.000 0.000 0.000 0.080 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.2912 0.6824 0.000 0.784 0.000 0.000 0.000 0.216
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 6 0.2560 0.6133 0.092 0.000 0.000 0.000 0.036 0.872
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0547 0.8056 0.000 0.980 0.000 0.000 0.000 0.020
#> 51061018-95AB-4278-886F-F69E4EBC47C0 6 0.0790 0.7009 0.000 0.000 0.000 0.000 0.032 0.968
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.1610 0.8278 0.916 0.000 0.000 0.000 0.084 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.1501 0.8306 0.924 0.000 0.000 0.000 0.076 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.3023 0.6205 0.000 0.768 0.000 0.000 0.000 0.232
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.1714 0.7969 0.000 0.908 0.000 0.000 0.000 0.092
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 6 0.3717 0.3065 0.000 0.384 0.000 0.000 0.000 0.616
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.1501 0.8310 0.924 0.000 0.000 0.000 0.076 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.2697 0.7919 0.812 0.000 0.000 0.000 0.188 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.2664 0.7939 0.816 0.000 0.000 0.000 0.184 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0547 0.8494 0.980 0.000 0.000 0.000 0.020 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 5 0.2510 0.6805 0.100 0.000 0.000 0.000 0.872 0.028
#> E19D5463-FDD0-41C1-A170-323736A88D07 6 0.0000 0.7195 0.000 0.000 0.000 0.000 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.8045 0.000 0.000 0.000 1.000 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.2365 0.7309 0.040 0.000 0.000 0.888 0.072 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 6 0.0000 0.7195 0.000 0.000 0.000 0.000 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.9992 0.000 0.000 1.000 0.000 0.000 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.2697 0.7919 0.812 0.000 0.000 0.000 0.188 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 5 0.6308 0.1613 0.032 0.000 0.156 0.000 0.432 0.380
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 6 0.3756 0.3385 0.000 0.400 0.000 0.000 0.000 0.600
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.2340 0.8127 0.852 0.000 0.000 0.000 0.148 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.1075 0.7963 0.000 0.952 0.000 0.000 0.000 0.048
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 5 0.2912 0.7298 0.216 0.000 0.000 0.000 0.784 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.1663 0.8258 0.912 0.000 0.000 0.000 0.088 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0146 0.8065 0.000 0.996 0.000 0.000 0.000 0.004
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 6 0.3717 0.3113 0.000 0.384 0.000 0.000 0.000 0.616
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 6 0.3101 0.5914 0.000 0.244 0.000 0.000 0.000 0.756
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 6 0.2793 0.6433 0.000 0.200 0.000 0.000 0.000 0.800
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.8045 0.000 0.000 0.000 1.000 0.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.1204 0.8424 0.944 0.000 0.000 0.000 0.056 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.2219 0.7399 0.000 0.864 0.000 0.000 0.000 0.136
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 5 0.3642 0.6218 0.036 0.000 0.000 0.204 0.760 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.2697 0.7919 0.812 0.000 0.000 0.000 0.188 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 6 0.0000 0.7195 0.000 0.000 0.000 0.000 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.3774 0.2865 0.000 0.592 0.000 0.000 0.000 0.408
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.8045 0.000 0.000 0.000 1.000 0.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0363 0.8071 0.000 0.988 0.000 0.000 0.000 0.012
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.5893 0.0530 0.372 0.000 0.000 0.424 0.204 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0458 0.8069 0.000 0.984 0.000 0.000 0.000 0.016
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.8062 0.000 1.000 0.000 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 6 0.2442 0.6224 0.000 0.004 0.144 0.000 0.000 0.852
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.1610 0.8387 0.916 0.000 0.000 0.000 0.084 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0000 0.8045 0.000 0.000 0.000 1.000 0.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.3372 0.7934 0.816 0.000 0.000 0.084 0.100 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0000 0.8045 0.000 0.000 0.000 1.000 0.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 5 0.1863 0.7078 0.104 0.000 0.000 0.000 0.896 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.1267 0.8449 0.940 0.000 0.000 0.000 0.060 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 5 0.1753 0.7281 0.084 0.000 0.000 0.000 0.912 0.004
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 5 0.5126 0.4733 0.044 0.000 0.216 0.000 0.672 0.068
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.1007 0.8440 0.956 0.000 0.000 0.000 0.044 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 6 0.0146 0.7193 0.000 0.004 0.000 0.000 0.000 0.996
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.4366 0.1470 0.000 0.428 0.000 0.548 0.000 0.024
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.8062 0.000 1.000 0.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 6 0.2416 0.6760 0.000 0.156 0.000 0.000 0.000 0.844
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 4 0.3774 0.2454 0.000 0.408 0.000 0.592 0.000 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.2631 0.7977 0.820 0.000 0.000 0.000 0.180 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.1267 0.8451 0.940 0.000 0.000 0.000 0.060 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.1714 0.8239 0.908 0.000 0.000 0.000 0.092 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.1444 0.8318 0.928 0.000 0.000 0.000 0.072 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.2597 0.7972 0.824 0.000 0.000 0.000 0.176 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 6 0.2697 0.6544 0.000 0.188 0.000 0.000 0.000 0.812
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.1765 0.7979 0.000 0.904 0.000 0.000 0.000 0.096
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 6 0.3833 0.1897 0.000 0.444 0.000 0.000 0.000 0.556
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.8062 0.000 1.000 0.000 0.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.2597 0.7972 0.824 0.000 0.000 0.000 0.176 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.2178 0.8181 0.868 0.000 0.000 0.000 0.132 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 6 0.0000 0.7195 0.000 0.000 0.000 0.000 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.2697 0.7919 0.812 0.000 0.000 0.000 0.188 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0547 0.8059 0.000 0.980 0.000 0.000 0.000 0.020
#> 2C1F9079-602E-4252-82C7-9D8799E04246 6 0.3737 0.2987 0.000 0.392 0.000 0.000 0.000 0.608
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 5 0.2364 0.6626 0.004 0.000 0.072 0.000 0.892 0.032
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0146 0.8065 0.000 0.996 0.000 0.000 0.000 0.004
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.8062 0.000 1.000 0.000 0.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 6 0.0000 0.7195 0.000 0.000 0.000 0.000 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.2511 0.7218 0.064 0.000 0.000 0.880 0.056 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.8045 0.000 0.000 0.000 1.000 0.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.3288 0.5969 0.000 0.724 0.000 0.000 0.000 0.276
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.2340 0.8127 0.852 0.000 0.000 0.000 0.148 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 5 0.2623 0.6600 0.132 0.000 0.000 0.000 0.852 0.016
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 5 0.2562 0.7433 0.172 0.000 0.000 0.000 0.828 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.1444 0.8318 0.928 0.000 0.000 0.000 0.072 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.4282 0.6022 0.720 0.000 0.000 0.192 0.088 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.2365 0.7309 0.040 0.000 0.000 0.888 0.072 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.2178 0.8182 0.868 0.000 0.000 0.000 0.132 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 6 0.0458 0.7207 0.000 0.016 0.000 0.000 0.000 0.984
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0000 0.9992 0.000 0.000 1.000 0.000 0.000 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.8062 0.000 1.000 0.000 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.1663 0.8321 0.912 0.000 0.000 0.000 0.088 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 5 0.2883 0.7320 0.212 0.000 0.000 0.000 0.788 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.2697 0.7919 0.812 0.000 0.000 0.000 0.188 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 6 0.0937 0.7264 0.000 0.040 0.000 0.000 0.000 0.960
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.5224 0.5290 0.156 0.692 0.000 0.000 0.072 0.080
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 5 0.2730 0.6293 0.192 0.000 0.000 0.000 0.808 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.8062 0.000 1.000 0.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 5 0.1814 0.7360 0.100 0.000 0.000 0.000 0.900 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 6 0.0000 0.7195 0.000 0.000 0.000 0.000 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0146 0.8484 0.996 0.000 0.000 0.000 0.004 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 6 0.3918 0.6223 0.036 0.208 0.000 0.000 0.008 0.748
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.2221 0.8161 0.896 0.000 0.000 0.032 0.072 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.1663 0.8258 0.912 0.000 0.000 0.000 0.088 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 5 0.2730 0.7408 0.192 0.000 0.000 0.000 0.808 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.2697 0.7919 0.812 0.000 0.000 0.000 0.188 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.1663 0.8258 0.912 0.000 0.000 0.000 0.088 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.1075 0.7978 0.000 0.952 0.000 0.000 0.000 0.048
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.2969 0.6802 0.000 0.776 0.000 0.000 0.000 0.224
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.2221 0.8161 0.896 0.000 0.000 0.032 0.072 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.1910 0.7877 0.000 0.892 0.000 0.000 0.000 0.108
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0146 0.8484 0.996 0.000 0.000 0.000 0.004 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.3717 0.3713 0.000 0.616 0.000 0.000 0.000 0.384
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 6 0.1327 0.7165 0.000 0.064 0.000 0.000 0.000 0.936
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.4010 0.2319 0.000 0.408 0.000 0.584 0.000 0.008
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.2912 0.6945 0.784 0.000 0.000 0.000 0.216 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 6 0.3756 0.2645 0.000 0.400 0.000 0.000 0.000 0.600
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.8062 0.000 1.000 0.000 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 5 0.3482 0.6124 0.316 0.000 0.000 0.000 0.684 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 6 0.3737 0.2975 0.000 0.392 0.000 0.000 0.000 0.608
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.8062 0.000 1.000 0.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0000 0.9992 0.000 0.000 1.000 0.000 0.000 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.2048 0.7855 0.000 0.880 0.000 0.000 0.000 0.120
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.2799 0.8175 0.860 0.000 0.000 0.064 0.076 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.8062 0.000 1.000 0.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.1387 0.7935 0.000 0.932 0.000 0.000 0.000 0.068
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0632 0.8060 0.000 0.976 0.000 0.000 0.000 0.024
#> 765AFFC1-D528-4494-8BA1-0706451E4205 6 0.0000 0.7195 0.000 0.000 0.000 0.000 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2178 0.8207 0.868 0.000 0.000 0.000 0.132 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0520 0.7970 0.008 0.000 0.000 0.984 0.008 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.0000 0.8045 0.000 0.000 0.000 1.000 0.000 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.8045 0.000 0.000 0.000 1.000 0.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 6 0.0865 0.7199 0.000 0.036 0.000 0.000 0.000 0.964
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0260 0.8488 0.992 0.000 0.000 0.000 0.008 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.1075 0.7686 0.000 0.000 0.000 0.952 0.048 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.3563 0.4890 0.000 0.664 0.000 0.000 0.000 0.336
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 5 0.5778 0.3330 0.196 0.000 0.000 0.000 0.484 0.320
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.1204 0.8040 0.000 0.944 0.000 0.000 0.000 0.056
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.3804 0.2106 0.000 0.576 0.000 0.000 0.000 0.424
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 5 0.1806 0.7300 0.088 0.000 0.000 0.004 0.908 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0547 0.8473 0.980 0.000 0.000 0.000 0.020 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.3854 0.1025 0.000 0.536 0.000 0.000 0.000 0.464
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.2597 0.7972 0.824 0.000 0.000 0.000 0.176 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.3869 -0.0303 0.000 0.500 0.000 0.000 0.000 0.500
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.8045 0.000 0.000 0.000 1.000 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.9992 0.000 0.000 1.000 0.000 0.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.3851 0.1511 0.000 0.540 0.000 0.000 0.000 0.460
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0865 0.8023 0.000 0.964 0.000 0.000 0.000 0.036
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.8045 0.000 0.000 0.000 1.000 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.3833 0.2498 0.556 0.000 0.000 0.000 0.444 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.4798 0.6093 0.300 0.000 0.000 0.000 0.620 0.080
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.3014 0.6973 0.012 0.804 0.000 0.000 0.000 0.184
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.2969 0.7326 0.224 0.000 0.000 0.000 0.776 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.1663 0.8258 0.912 0.000 0.000 0.000 0.088 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.3828 0.1408 0.000 0.560 0.000 0.000 0.000 0.440
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.1814 0.7690 0.000 0.900 0.000 0.000 0.000 0.100
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.2697 0.7919 0.812 0.000 0.000 0.000 0.188 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.4440 0.3188 0.012 0.376 0.000 0.000 0.016 0.596
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1444 0.8318 0.928 0.000 0.000 0.000 0.072 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 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.985 0.993 0.5025 0.498 0.498
#> 3 3 0.653 0.836 0.884 0.2230 0.877 0.755
#> 4 4 0.609 0.708 0.823 0.1456 0.888 0.713
#> 5 5 0.621 0.602 0.744 0.0696 0.972 0.905
#> 6 6 0.615 0.453 0.716 0.0460 0.917 0.712
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.996 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.990 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.996 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.990 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.996 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.990 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.996 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0000 0.996 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.1633 0.977 0.024 0.976
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.990 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.990 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 0.990 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.996 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0000 0.996 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.0000 0.996 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.990 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.996 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.990 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.996 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.996 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0000 0.990 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.0000 0.996 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.990 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.990 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.990 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.996 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.0000 0.990 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.990 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0000 0.990 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0000 0.990 1.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.996 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.990 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.996 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.990 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.990 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.990 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.996 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.996 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.990 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.990 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.990 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.996 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.1414 0.980 0.020 0.980
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.996 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.0000 0.996 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.990 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.990 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.996 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.996 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.996 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.990 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.990 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.990 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.990 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0000 0.990 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.996 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.990 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0000 0.990 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 0.996 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.0376 0.993 0.004 0.996
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.990 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.8267 0.663 0.740 0.260
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.996 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.990 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.996 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.990 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.990 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.996 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.996 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.996 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.996 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0000 0.990 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.990 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.996 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.990 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.990 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.996 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.996 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.6531 0.801 0.832 0.168
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.996 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 0.990 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.996 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.996 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0000 0.996 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.990 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 0.990 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.990 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.5842 0.840 0.140 0.860
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 0.990 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.990 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0000 0.990 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.8016 0.690 0.756 0.244
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.990 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 0.996 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.1414 0.980 0.020 0.980
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.996 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.996 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.1633 0.977 0.024 0.976
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.990 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.990 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.990 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.990 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.990 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.996 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.996 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.996 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.996 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.990 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.990 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.996 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.990 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.996 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.996 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.6887 0.782 0.816 0.184
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.996 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.996 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.996 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0000 0.990 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0000 0.990 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.996 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.990 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.0000 0.990 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.990 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.990 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.990 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0000 0.990 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.990 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 0.996 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.0000 0.996 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.996 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.990 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.990 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.990 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.996 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0938 0.987 0.012 0.988
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.990 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.996 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.990 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.996 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.990 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0376 0.993 0.004 0.996
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.990 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.990 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.990 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.990 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.990 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.996 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.996 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.990 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.996 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.990 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0938 0.987 0.012 0.988
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.996 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.1633 0.977 0.024 0.976
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.990 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.996 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.996 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.990 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.996 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.996 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.0000 0.996 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.996 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.990 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.996 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.1414 0.980 0.020 0.980
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.996 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.0000 0.996 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.990 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 0.990 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.1633 0.977 0.024 0.976
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.7056 0.768 0.808 0.192
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.996 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.990 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.990 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.996 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.990 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.996 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.996 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.990 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.990 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.996 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.990 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.996 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 0.990 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.0000 0.996 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.1414 0.980 0.020 0.980
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.996 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 0.990 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.990 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.0000 0.990 1.000 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.996 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.990 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.990 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.1414 0.980 0.020 0.980
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.1414 0.980 0.020 0.980
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.990 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.996 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.990 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.1289 0.889 0.000 0.968 0.032
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.933 1.000 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 3 0.6291 0.555 0.000 0.468 0.532
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.933 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 3 0.6235 0.635 0.000 0.436 0.564
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.933 1.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.916 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.4291 0.835 0.000 0.180 0.820
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 3 0.3482 0.724 0.000 0.128 0.872
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.2537 0.913 0.920 0.000 0.080
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.933 1.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.3619 0.888 0.864 0.000 0.136
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 3 0.5859 0.757 0.000 0.344 0.656
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.4291 0.835 0.000 0.180 0.820
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.4291 0.835 0.000 0.180 0.820
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.3551 0.887 0.868 0.000 0.132
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.916 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.2537 0.913 0.920 0.000 0.080
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.3038 0.816 0.000 0.896 0.104
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 3 0.6291 0.555 0.000 0.468 0.532
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.4974 0.811 0.764 0.000 0.236
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.4291 0.835 0.000 0.180 0.820
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.933 1.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.933 1.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.933 1.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.916 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.3551 0.887 0.868 0.000 0.132
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.933 1.000 0.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.2537 0.913 0.920 0.000 0.080
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.3816 0.867 0.852 0.000 0.148
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 3 0.4452 0.834 0.000 0.192 0.808
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.933 1.000 0.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.4654 0.836 0.000 0.208 0.792
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.2356 0.915 0.928 0.000 0.072
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.933 1.000 0.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.933 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.916 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.916 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.933 1.000 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.933 1.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.933 1.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.916 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.5696 0.777 0.064 0.136 0.800
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.916 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.4555 0.837 0.000 0.200 0.800
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.933 1.000 0.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.933 1.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.6204 -0.252 0.000 0.576 0.424
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.916 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 3 0.4750 0.836 0.000 0.216 0.784
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.2625 0.912 0.916 0.000 0.084
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.933 1.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.933 1.000 0.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.933 1.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.3551 0.887 0.868 0.000 0.132
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.4605 0.837 0.000 0.204 0.796
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.3816 0.879 0.852 0.000 0.148
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.1860 0.919 0.948 0.000 0.052
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.4654 0.836 0.000 0.208 0.792
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.4291 0.835 0.000 0.180 0.820
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.933 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.8570 0.160 0.476 0.096 0.428
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 3 0.5926 0.746 0.000 0.356 0.644
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.933 1.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.916 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.3551 0.887 0.868 0.000 0.132
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.933 1.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.916 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 3 0.5905 0.759 0.000 0.352 0.648
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 3 0.6095 0.719 0.000 0.392 0.608
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 3 0.4654 0.836 0.000 0.208 0.792
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.4974 0.811 0.764 0.000 0.236
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.2537 0.913 0.920 0.000 0.080
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.6274 0.276 0.000 0.544 0.456
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.3551 0.887 0.868 0.000 0.132
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.933 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.4605 0.837 0.000 0.204 0.796
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.916 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.5859 0.667 0.656 0.000 0.344
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.916 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.3551 0.887 0.868 0.000 0.132
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.916 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.916 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.4605 0.838 0.000 0.204 0.796
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.2711 0.909 0.912 0.000 0.088
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.3192 0.901 0.888 0.000 0.112
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.933 1.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.3482 0.724 0.000 0.128 0.872
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.3267 0.896 0.884 0.000 0.116
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.933 1.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.3551 0.887 0.868 0.000 0.132
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.8427 0.243 0.500 0.088 0.412
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.933 1.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.4605 0.837 0.000 0.204 0.796
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.3482 0.724 0.000 0.128 0.872
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.916 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 3 0.4654 0.836 0.000 0.208 0.792
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 3 0.3482 0.724 0.000 0.128 0.872
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.933 1.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.933 1.000 0.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.933 1.000 0.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.933 1.000 0.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.933 1.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 3 0.5835 0.762 0.000 0.340 0.660
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.916 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 3 0.5835 0.762 0.000 0.340 0.660
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0424 0.908 0.000 0.992 0.008
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.2537 0.913 0.920 0.000 0.080
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.933 1.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.4605 0.837 0.000 0.204 0.796
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.933 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.916 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 3 0.5560 0.807 0.000 0.300 0.700
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.7379 0.553 0.616 0.048 0.336
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0424 0.908 0.000 0.992 0.008
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.916 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.4605 0.837 0.000 0.204 0.796
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.3551 0.887 0.868 0.000 0.132
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.4931 0.815 0.768 0.000 0.232
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.916 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.933 1.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.3551 0.887 0.868 0.000 0.132
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.2625 0.911 0.916 0.000 0.084
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.2165 0.918 0.936 0.000 0.064
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.933 1.000 0.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.1163 0.926 0.972 0.000 0.028
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.933 1.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.5560 0.807 0.000 0.300 0.700
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.4291 0.835 0.000 0.180 0.820
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0424 0.908 0.000 0.992 0.008
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.2537 0.913 0.920 0.000 0.080
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0237 0.932 0.996 0.000 0.004
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.933 1.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 3 0.4654 0.836 0.000 0.208 0.792
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 3 0.5733 0.787 0.000 0.324 0.676
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.2537 0.913 0.920 0.000 0.080
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.916 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.3551 0.887 0.868 0.000 0.132
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.4654 0.836 0.000 0.208 0.792
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.3340 0.894 0.880 0.000 0.120
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.5785 0.784 0.000 0.332 0.668
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.933 1.000 0.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.933 1.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.3551 0.887 0.868 0.000 0.132
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.933 1.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.933 1.000 0.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.916 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 3 0.6308 0.495 0.000 0.492 0.508
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.933 1.000 0.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.916 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.933 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 3 0.4002 0.709 0.000 0.160 0.840
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 3 0.4291 0.835 0.000 0.180 0.820
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.3482 0.724 0.000 0.128 0.872
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.933 1.000 0.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.6302 -0.439 0.000 0.520 0.480
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.916 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.2537 0.913 0.920 0.000 0.080
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 3 0.4654 0.836 0.000 0.208 0.792
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.916 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.4291 0.835 0.000 0.180 0.820
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.916 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.933 1.000 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.4654 0.667 0.000 0.792 0.208
#> 642703B1-AF99-4746-A915-0792F4B9590B 3 0.4178 0.687 0.000 0.172 0.828
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.916 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.4605 0.837 0.000 0.204 0.796
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.933 1.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.2537 0.909 0.920 0.000 0.080
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.3482 0.724 0.000 0.128 0.872
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.3482 0.724 0.000 0.128 0.872
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.5835 0.762 0.000 0.340 0.660
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.933 1.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.933 1.000 0.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.6308 -0.473 0.000 0.508 0.492
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.3551 0.887 0.868 0.000 0.132
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.916 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4121 0.658 0.000 0.832 0.168
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.3551 0.887 0.868 0.000 0.132
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.933 1.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.916 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.933 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 3 0.6111 0.582 0.000 0.396 0.604
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.4931 0.815 0.768 0.000 0.232
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.4291 0.835 0.000 0.180 0.820
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 3 0.3482 0.724 0.000 0.128 0.872
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0424 0.908 0.000 0.992 0.008
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.4974 0.811 0.764 0.000 0.236
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.933 1.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.4733 0.811 0.800 0.004 0.196
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 3 0.5926 0.758 0.000 0.356 0.644
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.3551 0.887 0.868 0.000 0.132
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.933 1.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 3 0.3619 0.729 0.000 0.136 0.864
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 3 0.3619 0.729 0.000 0.136 0.864
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.933 1.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.5621 0.801 0.000 0.308 0.692
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.933 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.2408 0.8547 0.000 0.896 0.104 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.2973 0.7084 0.856 0.000 0.000 0.144
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 3 0.4040 0.8139 0.000 0.248 0.752 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0469 0.7837 0.988 0.000 0.000 0.012
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 3 0.4072 0.8143 0.000 0.252 0.748 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0336 0.7847 0.992 0.000 0.000 0.008
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0592 0.9531 0.000 0.984 0.016 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.1118 0.8336 0.000 0.036 0.964 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 3 0.5148 0.7563 0.000 0.056 0.736 0.208
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.6319 0.1112 0.604 0.000 0.084 0.312
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0188 0.7848 0.996 0.000 0.000 0.004
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.5269 0.4232 0.364 0.000 0.016 0.620
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 3 0.4122 0.8213 0.000 0.236 0.760 0.004
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.1118 0.8327 0.000 0.036 0.964 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.1118 0.8327 0.000 0.036 0.964 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 4 0.6826 0.5285 0.416 0.000 0.100 0.484
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0469 0.9498 0.000 0.988 0.012 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4454 0.3386 0.692 0.000 0.000 0.308
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.3266 0.7517 0.000 0.832 0.168 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 3 0.4431 0.7449 0.000 0.304 0.696 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.5842 0.5515 0.220 0.000 0.092 0.688
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.1474 0.8381 0.000 0.052 0.948 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0469 0.7831 0.988 0.000 0.000 0.012
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.2530 0.7435 0.888 0.000 0.000 0.112
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0336 0.7840 0.992 0.000 0.000 0.008
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0336 0.9516 0.000 0.992 0.008 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 4 0.6822 0.5680 0.384 0.000 0.104 0.512
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.1302 0.7727 0.956 0.000 0.000 0.044
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.6162 0.1636 0.620 0.000 0.076 0.304
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.7060 -0.3434 0.476 0.000 0.124 0.400
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 3 0.2149 0.8532 0.000 0.088 0.912 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0336 0.7840 0.992 0.000 0.000 0.008
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.2216 0.8527 0.000 0.092 0.908 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.3647 0.6046 0.832 0.000 0.016 0.152
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.2408 0.7475 0.896 0.000 0.000 0.104
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0469 0.7837 0.988 0.000 0.000 0.012
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0469 0.9531 0.000 0.988 0.012 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0817 0.9503 0.000 0.976 0.024 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.2530 0.7408 0.888 0.000 0.000 0.112
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.2469 0.7436 0.892 0.000 0.000 0.108
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.1211 0.7791 0.960 0.000 0.000 0.040
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0336 0.9516 0.000 0.992 0.008 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.2433 0.8445 0.008 0.060 0.920 0.012
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0336 0.9467 0.000 0.992 0.008 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.2081 0.8522 0.000 0.084 0.916 0.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.2868 0.7250 0.864 0.000 0.000 0.136
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.2868 0.7296 0.864 0.000 0.000 0.136
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 3 0.4713 0.6717 0.000 0.360 0.640 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0707 0.9516 0.000 0.980 0.020 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 3 0.2760 0.8563 0.000 0.128 0.872 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.2654 0.6936 0.888 0.000 0.004 0.108
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0336 0.7836 0.992 0.000 0.000 0.008
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.2530 0.7435 0.888 0.000 0.000 0.112
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0469 0.7837 0.988 0.000 0.000 0.012
#> C775B68F-9507-47E3-B507-B433AED79002 4 0.7133 0.5834 0.344 0.000 0.144 0.512
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.2149 0.8526 0.000 0.088 0.912 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.6383 0.5016 0.356 0.000 0.076 0.568
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.5408 0.1468 0.488 0.000 0.012 0.500
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.2216 0.8527 0.000 0.092 0.908 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.3435 0.7510 0.000 0.036 0.864 0.100
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.7850 1.000 0.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 4 0.7537 0.5606 0.180 0.004 0.324 0.492
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 3 0.4122 0.8213 0.000 0.236 0.760 0.004
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.2281 0.7533 0.904 0.000 0.000 0.096
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0592 0.9531 0.000 0.984 0.016 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.4797 0.3466 0.720 0.000 0.020 0.260
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.7850 1.000 0.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0592 0.9524 0.000 0.984 0.016 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 3 0.4053 0.8264 0.000 0.228 0.768 0.004
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 3 0.4164 0.7932 0.000 0.264 0.736 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 3 0.3528 0.8422 0.000 0.192 0.808 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.5842 0.5515 0.220 0.000 0.092 0.688
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.4431 0.3453 0.696 0.000 0.000 0.304
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.5744 0.5554 0.000 0.676 0.256 0.068
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.6850 0.5738 0.376 0.000 0.108 0.516
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0188 0.7848 0.996 0.000 0.000 0.004
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.2081 0.8522 0.000 0.084 0.916 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0336 0.9516 0.000 0.992 0.008 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.3463 0.5402 0.040 0.000 0.096 0.864
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0592 0.9531 0.000 0.984 0.016 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.6637 0.5800 0.368 0.000 0.092 0.540
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0707 0.9516 0.000 0.980 0.020 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0592 0.9531 0.000 0.984 0.016 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.3710 0.8478 0.000 0.192 0.804 0.004
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.6356 0.0802 0.596 0.000 0.084 0.320
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.5398 0.0201 0.580 0.000 0.016 0.404
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.2530 0.7435 0.888 0.000 0.000 0.112
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.5508 0.7096 0.000 0.056 0.692 0.252
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.6764 -0.2936 0.500 0.000 0.096 0.404
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.7850 1.000 0.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 4 0.6822 0.5680 0.384 0.000 0.104 0.512
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 4 0.7569 0.5639 0.188 0.004 0.316 0.492
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0592 0.7807 0.984 0.000 0.000 0.016
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.2149 0.8526 0.000 0.088 0.912 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.5256 0.7579 0.000 0.064 0.732 0.204
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0469 0.9531 0.000 0.988 0.012 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 3 0.3528 0.8422 0.000 0.192 0.808 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 3 0.5397 0.7435 0.000 0.064 0.716 0.220
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0336 0.7840 0.992 0.000 0.000 0.008
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0707 0.7799 0.980 0.000 0.000 0.020
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.2345 0.7444 0.900 0.000 0.000 0.100
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.2921 0.7131 0.860 0.000 0.000 0.140
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.2469 0.7436 0.892 0.000 0.000 0.108
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 3 0.4053 0.8264 0.000 0.228 0.768 0.004
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0592 0.9531 0.000 0.984 0.016 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 3 0.4053 0.8264 0.000 0.228 0.768 0.004
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0336 0.9505 0.000 0.992 0.008 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.6172 0.1731 0.632 0.000 0.084 0.284
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0469 0.7837 0.988 0.000 0.000 0.012
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.2149 0.8526 0.000 0.088 0.912 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0469 0.7837 0.988 0.000 0.000 0.012
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0592 0.9505 0.000 0.984 0.016 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 3 0.3801 0.8314 0.000 0.220 0.780 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 4 0.7380 0.5755 0.200 0.000 0.288 0.512
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0188 0.9493 0.000 0.996 0.004 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.1474 0.9192 0.000 0.948 0.052 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.2149 0.8526 0.000 0.088 0.912 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.6055 0.4705 0.372 0.000 0.052 0.576
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.6054 0.5542 0.256 0.000 0.088 0.656
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0336 0.9516 0.000 0.992 0.008 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0188 0.7848 0.996 0.000 0.000 0.004
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 4 0.6822 0.5680 0.384 0.000 0.104 0.512
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.4746 0.3301 0.688 0.000 0.008 0.304
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.2714 0.6869 0.884 0.000 0.004 0.112
#> D005833F-E991-4E9E-9667-55F137288004 1 0.3764 0.6015 0.784 0.000 0.000 0.216
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.5277 -0.0278 0.532 0.000 0.008 0.460
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0188 0.7848 0.996 0.000 0.000 0.004
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.3764 0.8332 0.000 0.216 0.784 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.1118 0.8336 0.000 0.036 0.964 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.2081 0.8782 0.000 0.916 0.084 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.4769 0.3225 0.684 0.000 0.008 0.308
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.6158 0.1785 0.628 0.000 0.080 0.292
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0188 0.7848 0.996 0.000 0.000 0.004
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 3 0.3649 0.8418 0.000 0.204 0.796 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 3 0.3074 0.8462 0.000 0.152 0.848 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.6280 0.1395 0.612 0.000 0.084 0.304
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0592 0.9531 0.000 0.984 0.016 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 4 0.6783 0.5618 0.388 0.000 0.100 0.512
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.2216 0.8527 0.000 0.092 0.908 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.4979 0.4867 0.760 0.000 0.064 0.176
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.2593 0.8570 0.000 0.104 0.892 0.004
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.2589 0.7377 0.884 0.000 0.000 0.116
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.2647 0.7339 0.880 0.000 0.000 0.120
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 4 0.6791 0.5550 0.392 0.000 0.100 0.508
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0469 0.7831 0.988 0.000 0.000 0.012
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0336 0.7840 0.992 0.000 0.000 0.008
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0921 0.9465 0.000 0.972 0.028 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 3 0.4746 0.6491 0.000 0.368 0.632 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.4990 0.3364 0.640 0.000 0.008 0.352
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0707 0.9516 0.000 0.980 0.020 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.2081 0.7585 0.916 0.000 0.000 0.084
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 3 0.5429 0.7771 0.000 0.208 0.720 0.072
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 3 0.3528 0.8464 0.000 0.192 0.808 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.4994 0.7593 0.000 0.048 0.744 0.208
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0188 0.7855 0.996 0.000 0.000 0.004
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 3 0.4730 0.6690 0.000 0.364 0.636 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0592 0.9531 0.000 0.984 0.016 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.6222 0.1521 0.616 0.000 0.080 0.304
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 3 0.3649 0.8412 0.000 0.204 0.796 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0469 0.9531 0.000 0.988 0.012 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.1118 0.8327 0.000 0.036 0.964 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0707 0.9516 0.000 0.980 0.020 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.2408 0.7465 0.896 0.000 0.000 0.104
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.3474 0.8390 0.000 0.868 0.064 0.068
#> 642703B1-AF99-4746-A915-0792F4B9590B 3 0.6179 0.7230 0.000 0.140 0.672 0.188
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0469 0.9531 0.000 0.988 0.012 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.2149 0.8526 0.000 0.088 0.912 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0188 0.7850 0.996 0.000 0.000 0.004
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.5310 0.3333 0.412 0.000 0.012 0.576
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.5257 0.7531 0.000 0.060 0.728 0.212
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.5929 0.5541 0.000 0.048 0.596 0.356
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.4053 0.8264 0.000 0.228 0.768 0.004
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0188 0.7848 0.996 0.000 0.000 0.004
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0707 0.7804 0.980 0.000 0.000 0.020
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 3 0.4730 0.6538 0.000 0.364 0.636 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 4 0.6834 0.4882 0.424 0.000 0.100 0.476
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0469 0.9531 0.000 0.988 0.012 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4605 0.3675 0.000 0.664 0.336 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 4 0.6822 0.5680 0.384 0.000 0.104 0.512
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0188 0.7846 0.996 0.000 0.000 0.004
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.1637 0.9159 0.000 0.940 0.060 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0592 0.7835 0.984 0.000 0.000 0.016
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 3 0.3801 0.8295 0.000 0.220 0.780 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.5008 0.5161 0.228 0.000 0.040 0.732
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.1118 0.8327 0.000 0.036 0.964 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 3 0.5452 0.7886 0.000 0.156 0.736 0.108
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.1474 0.9203 0.000 0.948 0.052 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.5907 0.5537 0.228 0.000 0.092 0.680
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0336 0.7840 0.992 0.000 0.000 0.008
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.6944 -0.3316 0.484 0.000 0.112 0.404
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 3 0.3266 0.8522 0.000 0.168 0.832 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.6015 0.1368 0.652 0.000 0.080 0.268
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0188 0.7850 0.996 0.000 0.000 0.004
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 3 0.4418 0.7855 0.000 0.032 0.784 0.184
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 3 0.5111 0.7598 0.000 0.056 0.740 0.204
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0336 0.7847 0.992 0.000 0.000 0.008
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.2654 0.8572 0.000 0.108 0.888 0.004
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0469 0.7827 0.988 0.000 0.000 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.3035 0.76164 0.000 0.856 0.112 0.032 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.6312 0.30626 0.524 0.000 0.000 0.200 0.276
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 3 0.5151 0.55610 0.000 0.396 0.560 0.044 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0510 0.69187 0.984 0.000 0.000 0.000 0.016
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 3 0.5175 0.53628 0.000 0.408 0.548 0.044 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.69727 1.000 0.000 0.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.93210 0.000 1.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.3194 0.63023 0.000 0.020 0.832 0.148 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 3 0.5170 0.45079 0.000 0.020 0.512 0.456 0.012
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.4937 0.12309 0.604 0.000 0.028 0.004 0.364
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0290 0.69537 0.992 0.000 0.000 0.000 0.008
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.6241 0.58614 0.164 0.000 0.000 0.512 0.324
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 3 0.6263 0.58987 0.000 0.340 0.540 0.100 0.020
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.3449 0.62002 0.000 0.024 0.812 0.164 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.3215 0.64146 0.000 0.056 0.852 0.092 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.4602 0.78373 0.316 0.000 0.028 0.000 0.656
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.93210 0.000 1.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4196 0.21336 0.640 0.000 0.000 0.004 0.356
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.4150 0.56646 0.000 0.748 0.216 0.036 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 3 0.5077 0.54921 0.000 0.392 0.568 0.040 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.5677 0.65819 0.060 0.000 0.008 0.516 0.416
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.3209 0.62754 0.000 0.028 0.848 0.120 0.004
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0404 0.69816 0.988 0.000 0.000 0.000 0.012
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4083 0.56655 0.744 0.000 0.000 0.028 0.228
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.1965 0.69668 0.924 0.000 0.000 0.052 0.024
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.93210 0.000 1.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 5 0.4708 0.80265 0.292 0.000 0.040 0.000 0.668
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3868 0.65727 0.800 0.000 0.000 0.140 0.060
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4846 0.13861 0.588 0.000 0.020 0.004 0.388
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.5879 0.00114 0.540 0.004 0.048 0.020 0.388
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 3 0.2471 0.71005 0.000 0.136 0.864 0.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0290 0.69479 0.992 0.000 0.000 0.000 0.008
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.3916 0.68866 0.000 0.104 0.804 0.092 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.3636 0.43609 0.728 0.000 0.000 0.000 0.272
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.3550 0.63224 0.796 0.000 0.000 0.020 0.184
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0609 0.69205 0.980 0.000 0.000 0.000 0.020
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0162 0.93228 0.000 0.996 0.004 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0290 0.93012 0.000 0.992 0.008 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.5754 0.44868 0.604 0.000 0.000 0.136 0.260
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.5489 0.52473 0.648 0.000 0.000 0.136 0.216
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.3622 0.66824 0.816 0.000 0.000 0.136 0.048
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0609 0.92630 0.000 0.980 0.020 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.6613 0.51722 0.120 0.044 0.664 0.044 0.128
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0880 0.91646 0.000 0.968 0.032 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.4357 0.68084 0.000 0.096 0.788 0.104 0.012
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.4637 0.62538 0.728 0.000 0.000 0.196 0.076
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.4360 0.63519 0.752 0.000 0.000 0.184 0.064
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 3 0.5086 0.54504 0.000 0.396 0.564 0.040 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0290 0.93088 0.000 0.992 0.008 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 3 0.5025 0.70548 0.000 0.212 0.700 0.084 0.004
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.5240 0.55748 0.660 0.000 0.000 0.096 0.244
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.2903 0.68806 0.872 0.000 0.000 0.080 0.048
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.4000 0.57054 0.748 0.000 0.000 0.024 0.228
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0162 0.69679 0.996 0.000 0.000 0.000 0.004
#> C775B68F-9507-47E3-B507-B433AED79002 5 0.4708 0.80304 0.292 0.000 0.040 0.000 0.668
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.3806 0.67407 0.000 0.084 0.812 0.104 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.5473 0.66107 0.064 0.000 0.000 0.520 0.416
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.6762 -0.14527 0.376 0.000 0.000 0.356 0.268
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.3962 0.69309 0.000 0.112 0.800 0.088 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.4826 0.53667 0.000 0.012 0.744 0.088 0.156
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0290 0.69725 0.992 0.000 0.000 0.000 0.008
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 5 0.5814 0.69154 0.176 0.000 0.176 0.008 0.640
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 3 0.5726 0.57845 0.000 0.364 0.560 0.064 0.012
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.3412 0.65439 0.820 0.000 0.000 0.028 0.152
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.93210 0.000 1.000 0.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.3752 0.25503 0.708 0.000 0.000 0.000 0.292
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.3242 0.67744 0.844 0.000 0.000 0.116 0.040
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0404 0.92955 0.000 0.988 0.012 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 3 0.6196 0.60111 0.000 0.332 0.552 0.096 0.020
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 3 0.4572 0.67245 0.000 0.280 0.684 0.036 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 3 0.3452 0.69236 0.000 0.244 0.756 0.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.5677 0.65819 0.060 0.000 0.008 0.516 0.416
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.4151 0.24498 0.652 0.000 0.000 0.004 0.344
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.5394 0.53103 0.000 0.660 0.132 0.208 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 5 0.3007 0.53652 0.104 0.000 0.028 0.004 0.864
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0404 0.69652 0.988 0.000 0.000 0.000 0.012
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.3806 0.67407 0.000 0.084 0.812 0.104 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0703 0.92330 0.000 0.976 0.024 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 5 0.5259 0.09079 0.036 0.000 0.040 0.236 0.688
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0162 0.93228 0.000 0.996 0.004 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 5 0.4293 0.40029 0.092 0.000 0.028 0.076 0.804
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0290 0.93088 0.000 0.992 0.008 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.93210 0.000 1.000 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.5386 0.70884 0.000 0.180 0.700 0.100 0.020
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.5012 0.11161 0.600 0.000 0.032 0.004 0.364
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.6781 0.34839 0.320 0.000 0.000 0.388 0.292
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.4083 0.56655 0.744 0.000 0.000 0.028 0.228
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.5260 0.43565 0.000 0.016 0.508 0.456 0.020
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.5094 -0.17063 0.532 0.000 0.028 0.004 0.436
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.1444 0.70107 0.948 0.000 0.000 0.012 0.040
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 5 0.4527 0.80663 0.260 0.000 0.040 0.000 0.700
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 5 0.5809 0.71006 0.188 0.000 0.164 0.008 0.640
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0703 0.68813 0.976 0.000 0.000 0.000 0.024
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.3963 0.67491 0.000 0.084 0.808 0.104 0.004
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.5175 0.44860 0.000 0.020 0.504 0.464 0.012
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.93210 0.000 1.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 3 0.3452 0.69236 0.000 0.244 0.756 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 4 0.5255 -0.49916 0.000 0.024 0.468 0.496 0.012
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1549 0.69870 0.944 0.000 0.000 0.040 0.016
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0609 0.69124 0.980 0.000 0.000 0.000 0.020
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.4075 0.64876 0.780 0.000 0.000 0.160 0.060
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.6158 0.36639 0.552 0.000 0.000 0.184 0.264
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.3769 0.62725 0.788 0.000 0.000 0.032 0.180
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 3 0.6361 0.59573 0.000 0.332 0.540 0.104 0.024
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0290 0.93088 0.000 0.992 0.008 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 3 0.6361 0.59573 0.000 0.332 0.540 0.104 0.024
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0162 0.93228 0.000 0.996 0.004 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.4984 0.18803 0.620 0.000 0.028 0.008 0.344
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0404 0.69726 0.988 0.000 0.000 0.000 0.012
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.3526 0.68938 0.000 0.096 0.832 0.072 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0510 0.69584 0.984 0.000 0.000 0.000 0.016
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0290 0.93076 0.000 0.992 0.008 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 3 0.4254 0.70618 0.000 0.220 0.740 0.040 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 5 0.5544 0.73527 0.192 0.000 0.132 0.008 0.668
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.93210 0.000 1.000 0.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.1549 0.90086 0.000 0.944 0.040 0.016 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.3812 0.68156 0.000 0.092 0.812 0.096 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.5478 0.66151 0.064 0.000 0.000 0.516 0.420
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.5730 0.65627 0.064 0.000 0.008 0.512 0.416
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.93210 0.000 1.000 0.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0290 0.69774 0.992 0.000 0.000 0.000 0.008
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 5 0.4562 0.80241 0.292 0.000 0.032 0.000 0.676
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.4264 0.15363 0.620 0.000 0.000 0.004 0.376
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.4291 0.64889 0.772 0.000 0.000 0.092 0.136
#> D005833F-E991-4E9E-9667-55F137288004 1 0.6584 0.18596 0.468 0.000 0.000 0.272 0.260
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.6762 -0.14527 0.376 0.000 0.000 0.356 0.268
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0404 0.69696 0.988 0.000 0.000 0.000 0.012
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.4441 0.69871 0.000 0.236 0.720 0.044 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.3399 0.61996 0.000 0.020 0.812 0.168 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.2020 0.80975 0.000 0.900 0.100 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.4211 0.20541 0.636 0.000 0.000 0.004 0.360
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.4911 0.15216 0.612 0.000 0.028 0.004 0.356
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0404 0.69422 0.988 0.000 0.000 0.000 0.012
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 3 0.4536 0.69554 0.000 0.240 0.712 0.048 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 3 0.6178 0.64402 0.000 0.288 0.572 0.128 0.012
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.4949 0.11495 0.600 0.000 0.028 0.004 0.368
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0609 0.92642 0.000 0.980 0.020 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 5 0.4374 0.80239 0.272 0.000 0.028 0.000 0.700
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.4020 0.68912 0.000 0.108 0.796 0.096 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 5 0.4450 0.31802 0.488 0.000 0.000 0.004 0.508
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.5752 0.65788 0.000 0.280 0.612 0.100 0.008
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.5929 0.42120 0.584 0.000 0.000 0.156 0.260
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.5715 0.48797 0.620 0.000 0.000 0.152 0.228
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 5 0.4350 0.80488 0.268 0.000 0.028 0.000 0.704
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.1270 0.69361 0.948 0.000 0.000 0.000 0.052
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.2889 0.68400 0.872 0.000 0.000 0.084 0.044
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0290 0.93012 0.000 0.992 0.008 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 3 0.5557 0.42679 0.000 0.460 0.472 0.068 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.6718 -0.05957 0.400 0.000 0.000 0.348 0.252
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0794 0.92176 0.000 0.972 0.028 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.2230 0.69721 0.912 0.000 0.000 0.044 0.044
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 3 0.6507 0.56878 0.000 0.212 0.472 0.316 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 3 0.4294 0.70399 0.000 0.152 0.768 0.080 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.5076 0.44332 0.000 0.016 0.528 0.444 0.012
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.3043 0.68044 0.864 0.000 0.000 0.080 0.056
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 3 0.5296 0.41175 0.000 0.468 0.484 0.048 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.93210 0.000 1.000 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.5024 0.10547 0.572 0.000 0.028 0.004 0.396
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 3 0.3728 0.69299 0.000 0.244 0.748 0.008 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0162 0.93228 0.000 0.996 0.004 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.3500 0.61375 0.000 0.016 0.808 0.172 0.004
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0162 0.93228 0.000 0.996 0.004 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.5651 0.47525 0.620 0.000 0.000 0.132 0.248
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.3912 0.64711 0.000 0.752 0.020 0.228 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 3 0.6492 0.53614 0.000 0.196 0.456 0.348 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0162 0.93228 0.000 0.996 0.004 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.3806 0.67407 0.000 0.084 0.812 0.104 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.69727 1.000 0.000 0.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.6757 0.26898 0.320 0.000 0.000 0.400 0.280
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.5394 0.45360 0.000 0.032 0.496 0.460 0.012
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.6770 -0.24847 0.000 0.016 0.352 0.464 0.168
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.6080 0.60483 0.000 0.328 0.568 0.080 0.024
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0693 0.69850 0.980 0.000 0.000 0.012 0.008
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.2966 0.62338 0.816 0.000 0.000 0.000 0.184
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 3 0.5344 0.45659 0.000 0.448 0.500 0.052 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 5 0.4350 0.80488 0.268 0.000 0.028 0.000 0.704
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.93210 0.000 1.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4617 -0.16113 0.000 0.552 0.436 0.012 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 5 0.4506 0.79728 0.296 0.000 0.028 0.000 0.676
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.2850 0.68368 0.872 0.000 0.000 0.092 0.036
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.1704 0.88197 0.000 0.928 0.068 0.004 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0609 0.69252 0.980 0.000 0.000 0.000 0.020
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 3 0.4165 0.63235 0.000 0.320 0.672 0.008 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.5759 0.65349 0.092 0.000 0.000 0.520 0.388
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.3124 0.61969 0.000 0.016 0.844 0.136 0.004
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 3 0.5447 0.46793 0.000 0.036 0.512 0.440 0.012
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.1282 0.90710 0.000 0.952 0.044 0.004 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.5730 0.66314 0.064 0.000 0.008 0.512 0.416
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.1310 0.69926 0.956 0.000 0.000 0.020 0.024
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.6179 -0.08140 0.532 0.004 0.060 0.028 0.376
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 3 0.6073 0.61947 0.000 0.328 0.552 0.112 0.008
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.4594 -0.08604 0.508 0.000 0.004 0.004 0.484
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2824 0.68296 0.872 0.000 0.000 0.096 0.032
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 3 0.4415 0.49449 0.000 0.004 0.552 0.444 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 3 0.5114 0.47774 0.000 0.020 0.556 0.412 0.012
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0290 0.69561 0.992 0.000 0.000 0.000 0.008
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.5882 0.65507 0.000 0.280 0.600 0.112 0.008
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0807 0.69795 0.976 0.000 0.000 0.012 0.012
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.3585 0.71714 0.000 0.780 0.048 0.000 0.000 0.172
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.6014 0.47136 0.232 0.000 0.196 0.548 0.024 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 6 0.5067 0.32693 0.000 0.356 0.088 0.000 0.000 0.556
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0891 0.69215 0.968 0.000 0.008 0.000 0.024 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 6 0.5719 0.31118 0.000 0.344 0.112 0.004 0.012 0.528
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0146 0.70169 0.996 0.000 0.000 0.004 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0146 0.90394 0.000 0.996 0.000 0.004 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.5017 0.82454 0.000 0.036 0.532 0.000 0.020 0.412
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 6 0.4309 0.19182 0.000 0.024 0.056 0.080 0.044 0.796
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.4486 -0.09584 0.524 0.000 0.012 0.012 0.452 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0146 0.70118 0.996 0.000 0.000 0.000 0.004 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.3812 0.61663 0.056 0.000 0.000 0.772 0.168 0.004
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 6 0.6270 0.22170 0.000 0.128 0.280 0.012 0.036 0.544
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.4708 0.84349 0.000 0.016 0.528 0.000 0.020 0.436
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 6 0.5472 -0.44637 0.000 0.104 0.364 0.000 0.008 0.524
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.3778 0.69784 0.288 0.000 0.000 0.016 0.696 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0653 0.89944 0.000 0.980 0.004 0.004 0.000 0.012
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4189 -0.01366 0.552 0.000 0.008 0.004 0.436 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.3707 0.53373 0.000 0.680 0.008 0.000 0.000 0.312
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 6 0.3834 0.36946 0.000 0.268 0.024 0.000 0.000 0.708
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.3274 0.60951 0.024 0.000 0.000 0.804 0.168 0.004
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.4939 0.78613 0.000 0.028 0.484 0.000 0.020 0.468
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0767 0.70153 0.976 0.000 0.004 0.008 0.012 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.6226 0.02792 0.500 0.000 0.208 0.268 0.024 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2002 0.69468 0.908 0.000 0.004 0.076 0.012 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.90433 0.000 1.000 0.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 5 0.3189 0.74197 0.184 0.000 0.000 0.020 0.796 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3748 0.56605 0.748 0.000 0.016 0.224 0.012 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.5173 -0.12146 0.476 0.000 0.008 0.064 0.452 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 5 0.6342 0.34906 0.372 0.000 0.036 0.084 0.484 0.024
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 6 0.5879 -0.10242 0.000 0.240 0.284 0.000 0.000 0.476
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0405 0.70076 0.988 0.000 0.000 0.004 0.008 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.4989 -0.24146 0.000 0.092 0.316 0.000 0.000 0.592
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.3950 0.43988 0.720 0.000 0.000 0.040 0.240 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.3165 0.62690 0.844 0.000 0.072 0.076 0.008 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.1265 0.68524 0.948 0.000 0.008 0.000 0.044 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.90433 0.000 1.000 0.000 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0146 0.90394 0.000 0.996 0.000 0.004 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.6246 0.40421 0.280 0.000 0.204 0.492 0.024 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.6275 0.17893 0.376 0.000 0.204 0.404 0.016 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.3643 0.59210 0.768 0.000 0.024 0.200 0.008 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.1789 0.86752 0.000 0.924 0.044 0.000 0.000 0.032
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 6 0.7174 -0.19940 0.044 0.068 0.216 0.012 0.116 0.544
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.1657 0.87908 0.000 0.928 0.016 0.000 0.000 0.056
#> 51061018-95AB-4278-886F-F69E4EBC47C0 6 0.5411 -0.25049 0.000 0.092 0.348 0.000 0.012 0.548
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.4684 0.46213 0.656 0.000 0.060 0.276 0.008 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.4224 0.51941 0.700 0.000 0.036 0.256 0.008 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.4704 -0.28378 0.000 0.488 0.044 0.000 0.000 0.468
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.90433 0.000 1.000 0.000 0.000 0.000 0.000
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#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 6 0.4272 -0.01489 0.000 0.000 0.104 0.076 0.044 0.776
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 6 0.3247 0.22122 0.000 0.036 0.020 0.040 0.040 0.864
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0363 0.69959 0.988 0.000 0.000 0.000 0.012 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.5237 0.25547 0.000 0.104 0.128 0.020 0.036 0.712
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0622 0.70265 0.980 0.000 0.000 0.012 0.008 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.994 0.998 0.5021 0.498 0.498
#> 3 3 0.852 0.857 0.935 0.2700 0.821 0.655
#> 4 4 0.877 0.849 0.931 0.1299 0.812 0.544
#> 5 5 0.734 0.674 0.838 0.0557 0.898 0.676
#> 6 6 0.804 0.662 0.822 0.0446 0.916 0.693
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.000 0.996 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.000 0.999 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.000 0.996 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.000 0.999 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.000 0.996 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.000 0.999 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.000 0.996 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.000 0.996 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.000 0.996 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.000 0.999 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.000 0.999 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.000 0.999 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.000 0.996 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.000 0.996 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.000 0.996 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.000 0.999 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.000 0.996 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.000 0.999 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.000 0.996 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.000 0.996 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.000 0.999 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.000 0.996 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.000 0.999 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.000 0.999 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.000 0.999 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.000 0.996 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.000 0.999 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.000 0.999 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.000 0.999 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.000 0.999 1.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.000 0.996 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.000 0.999 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.000 0.996 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.000 0.999 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.000 0.999 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.000 0.999 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.000 0.996 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.000 0.996 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.000 0.999 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.000 0.999 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.000 0.999 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.000 0.996 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.000 0.996 0.000 1.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.000 0.996 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.000 0.996 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.000 0.999 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.000 0.999 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.000 0.996 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.000 0.996 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.000 0.996 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.000 0.999 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.000 0.999 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.000 0.999 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.000 0.999 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.000 0.999 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.000 0.996 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.000 0.999 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.000 0.999 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.000 0.996 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.000 0.996 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.000 0.999 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.000 0.999 1.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.000 0.996 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.000 0.999 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.000 0.996 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.000 0.999 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.000 0.999 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.000 0.996 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.000 0.996 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.000 0.996 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.000 0.996 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.000 0.999 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.000 0.999 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.000 0.996 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.000 0.999 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.000 0.999 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.000 0.996 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.000 0.996 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.000 0.999 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.000 0.996 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.000 0.999 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.000 0.996 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.000 0.996 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.000 0.996 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.000 0.999 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.000 0.999 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.000 0.999 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.469 0.888 0.900 0.100
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.000 0.999 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.000 0.999 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.000 0.999 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.000 0.999 1.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.000 0.999 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.000 0.996 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.000 0.996 0.000 1.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.000 0.996 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.000 0.996 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.963 0.364 0.388 0.612
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.000 0.999 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.000 0.999 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.000 0.999 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.000 0.999 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.000 0.999 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.000 0.996 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.000 0.996 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.000 0.996 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.000 0.996 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.000 0.999 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.000 0.999 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.000 0.996 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.000 0.999 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.000 0.996 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.000 0.996 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.000 0.999 1.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.000 0.996 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.000 0.996 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.000 0.996 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.000 0.999 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.000 0.999 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.000 0.996 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.000 0.999 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.000 0.999 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.000 0.999 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.000 0.999 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.000 0.999 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.000 0.999 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.000 0.999 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.000 0.996 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.000 0.996 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.000 0.996 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.000 0.999 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.000 0.999 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.000 0.999 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.000 0.996 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.000 0.996 0.000 1.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.000 0.999 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.000 0.996 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.000 0.999 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.000 0.996 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.000 0.999 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.000 0.996 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.000 0.999 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.000 0.999 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.000 0.999 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.000 0.999 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.000 0.999 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.000 0.996 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.000 0.996 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.000 0.999 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.000 0.996 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.000 0.999 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.000 0.996 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.000 0.996 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.000 0.996 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.000 0.999 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.000 0.996 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.000 0.996 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.000 0.999 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.000 0.996 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.000 0.996 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.000 0.996 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.000 0.996 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.000 0.999 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.000 0.996 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.000 0.996 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.000 0.996 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.000 0.996 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.000 0.999 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.000 0.999 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.000 0.996 0.000 1.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.000 0.999 1.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.000 0.996 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.000 0.999 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.000 0.999 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.000 0.996 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.000 0.999 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.000 0.996 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.000 0.996 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.000 0.999 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.000 0.999 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.000 0.996 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.000 0.999 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.000 0.996 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.000 0.999 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.000 0.996 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.000 0.996 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.000 0.996 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.000 0.999 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.000 0.999 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.000 0.999 1.000 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.000 0.996 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.000 0.999 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.000 0.999 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.000 0.996 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.000 0.996 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.000 0.999 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.000 0.996 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.000 0.999 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.94757 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.96039 1.000 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.94757 0.000 1.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.2165 0.94320 0.936 0.000 0.064
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.94757 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0592 0.95881 0.988 0.000 0.012
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.94757 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.4452 0.72851 0.000 0.808 0.192
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.2165 0.88046 0.064 0.936 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 3 0.2261 0.78170 0.068 0.000 0.932
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.2165 0.94320 0.936 0.000 0.064
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 0.96039 1.000 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.94757 0.000 1.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.5560 0.57077 0.000 0.300 0.700
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.6235 0.26869 0.000 0.436 0.564
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.3551 0.88207 0.868 0.000 0.132
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.94757 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4399 0.81006 0.812 0.000 0.188
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.94757 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.94757 0.000 1.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0000 0.96039 1.000 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.2796 0.85664 0.000 0.908 0.092
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.2448 0.93543 0.924 0.000 0.076
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.96039 1.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2165 0.94320 0.936 0.000 0.064
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.94757 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.0424 0.80839 0.008 0.000 0.992
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0237 0.96012 0.996 0.000 0.004
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 3 0.0000 0.80879 0.000 0.000 1.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 3 0.6192 0.21128 0.420 0.000 0.580
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.94757 0.000 1.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.2165 0.94320 0.936 0.000 0.064
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.6168 0.23230 0.000 0.588 0.412
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.2066 0.94512 0.940 0.000 0.060
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.96039 1.000 0.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.2165 0.94320 0.936 0.000 0.064
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.94757 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.94757 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.96039 1.000 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.96039 1.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0237 0.96012 0.996 0.000 0.004
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.94757 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0000 0.80879 0.000 0.000 1.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.94757 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.2165 0.78891 0.000 0.064 0.936
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.96039 1.000 0.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.96039 1.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.94757 0.000 1.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.94757 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0237 0.94426 0.000 0.996 0.004
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.96039 1.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.96039 1.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.96039 1.000 0.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.2066 0.94508 0.940 0.000 0.060
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.0000 0.80879 0.000 0.000 1.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.6140 0.35788 0.000 0.404 0.596
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.96039 1.000 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0000 0.96039 1.000 0.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.4750 0.68377 0.000 0.216 0.784
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.1529 0.79846 0.000 0.040 0.960
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.1964 0.94666 0.944 0.000 0.056
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.80879 0.000 0.000 1.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.94757 0.000 1.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.96039 1.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.94757 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.2261 0.94092 0.932 0.000 0.068
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.96039 1.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.94757 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.2066 0.89244 0.000 0.940 0.060
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.94757 0.000 1.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.94757 0.000 1.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0000 0.96039 1.000 0.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.2165 0.94320 0.936 0.000 0.064
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.94757 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.96039 1.000 0.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.1753 0.94962 0.952 0.000 0.048
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.4121 0.72988 0.000 0.168 0.832
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.94757 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.0000 0.96039 1.000 0.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.94757 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 0.96039 1.000 0.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.94757 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.94757 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.6168 0.23795 0.000 0.588 0.412
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 3 0.0592 0.80725 0.012 0.000 0.988
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 0.96039 1.000 0.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.96039 1.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.3192 0.82211 0.888 0.112 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 3 0.0000 0.80879 0.000 0.000 1.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0237 0.96012 0.996 0.000 0.004
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 3 0.0000 0.80879 0.000 0.000 1.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.80879 0.000 0.000 1.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.2537 0.93254 0.920 0.000 0.080
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.4399 0.71290 0.000 0.188 0.812
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.0747 0.93228 0.016 0.984 0.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.94757 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.94757 0.000 1.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.6008 0.37866 0.372 0.628 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.2261 0.94097 0.932 0.000 0.068
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.3116 0.90790 0.892 0.000 0.108
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0237 0.96016 0.996 0.000 0.004
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.96039 1.000 0.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.96039 1.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.5016 0.64439 0.000 0.760 0.240
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.94757 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.5926 0.41374 0.000 0.644 0.356
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.94757 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 3 0.6305 -0.01009 0.484 0.000 0.516
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.1964 0.94666 0.944 0.000 0.056
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.6111 0.28092 0.000 0.604 0.396
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.2165 0.94320 0.936 0.000 0.064
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.94757 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.94757 0.000 1.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.0000 0.80879 0.000 0.000 1.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.94757 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.94757 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.5397 0.59896 0.000 0.280 0.720
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0000 0.96039 1.000 0.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0000 0.96039 1.000 0.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.94757 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.2165 0.94320 0.936 0.000 0.064
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.0000 0.80879 0.000 0.000 1.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.6168 0.33893 0.588 0.000 0.412
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.96039 1.000 0.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.96039 1.000 0.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0000 0.96039 1.000 0.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.1163 0.95526 0.972 0.000 0.028
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.6095 0.29184 0.000 0.608 0.392
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.3482 0.75758 0.000 0.128 0.872
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.94757 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 3 0.5905 0.39963 0.352 0.000 0.648
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 3 0.6305 -0.00519 0.484 0.000 0.516
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.2165 0.94320 0.936 0.000 0.064
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.94757 0.000 1.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.94757 0.000 1.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 3 0.4750 0.63212 0.216 0.000 0.784
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.94757 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 3 0.5905 0.42964 0.352 0.000 0.648
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.5431 0.55407 0.000 0.716 0.284
#> DD4BD74D-D48C-4090-9F57-5334E784581C 3 0.6295 0.09744 0.472 0.000 0.528
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.6095 0.38723 0.000 0.392 0.608
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.96039 1.000 0.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.96039 1.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 3 0.5465 0.54888 0.288 0.000 0.712
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0424 0.95954 0.992 0.000 0.008
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.3551 0.88277 0.868 0.000 0.132
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.94757 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.94757 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.96039 1.000 0.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.94757 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.96039 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.94757 0.000 1.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.94757 0.000 1.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.2165 0.88046 0.064 0.936 0.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.1753 0.94968 0.952 0.000 0.048
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.94757 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.94757 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.4291 0.81859 0.820 0.000 0.180
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.94757 0.000 1.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.94757 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.2165 0.78891 0.000 0.064 0.936
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.94757 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.96039 1.000 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.94757 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.94757 0.000 1.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.94757 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.4235 0.72334 0.000 0.176 0.824
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2165 0.94320 0.936 0.000 0.064
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 0.96039 1.000 0.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.2165 0.88046 0.064 0.936 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.0000 0.96039 1.000 0.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.5016 0.64350 0.000 0.240 0.760
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.1753 0.94957 0.952 0.000 0.048
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0424 0.95963 0.992 0.000 0.008
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.94757 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 3 0.0424 0.80842 0.008 0.000 0.992
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.94757 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.94757 0.000 1.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 3 0.0000 0.80879 0.000 0.000 1.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.96039 1.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.94757 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.2165 0.94320 0.936 0.000 0.064
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.94757 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 0.96039 1.000 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.3340 0.76251 0.000 0.120 0.880
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.94757 0.000 1.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.94757 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 0.96039 1.000 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.2165 0.94320 0.936 0.000 0.064
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.1643 0.79704 0.044 0.000 0.956
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0237 0.94423 0.000 0.996 0.004
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.2066 0.94508 0.940 0.000 0.060
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.1031 0.95630 0.976 0.000 0.024
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.94757 0.000 1.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.94757 0.000 1.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.2356 0.93830 0.928 0.000 0.072
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.2165 0.79002 0.000 0.064 0.936
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2165 0.94320 0.936 0.000 0.064
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0707 0.9041 0.980 0.000 0.000 0.020
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.1389 0.8995 0.952 0.000 0.000 0.048
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.3392 0.8176 0.020 0.124 0.856 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.1474 0.8560 0.000 0.052 0.000 0.948
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.8958 1.000 0.000 0.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0707 0.9041 0.980 0.000 0.000 0.020
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.1022 0.9428 0.000 0.968 0.032 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.2131 0.8842 0.032 0.036 0.932 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.1118 0.8858 0.000 0.036 0.964 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.8958 1.000 0.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0469 0.9016 0.988 0.000 0.000 0.012
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.1661 0.8796 0.004 0.052 0.944 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.1109 0.9048 0.968 0.000 0.004 0.028
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 4 0.0592 0.9021 0.016 0.000 0.000 0.984
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.1118 0.9037 0.964 0.000 0.000 0.036
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.2282 0.8714 0.052 0.000 0.924 0.024
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 4 0.5657 0.0967 0.436 0.000 0.024 0.540
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0817 0.8956 0.976 0.000 0.024 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.1284 0.8988 0.964 0.000 0.024 0.012
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.3266 0.7815 0.000 0.832 0.168 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1833 0.9007 0.944 0.000 0.024 0.032
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.4888 0.3679 0.000 0.412 0.588 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0707 0.9041 0.980 0.000 0.000 0.020
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.3024 0.8199 0.852 0.000 0.000 0.148
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0707 0.9041 0.980 0.000 0.000 0.020
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.0469 0.9034 0.012 0.000 0.000 0.988
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.5000 0.0994 0.504 0.000 0.000 0.496
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0817 0.8797 0.024 0.000 0.976 0.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.0895 0.8866 0.004 0.020 0.976 0.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 4 0.4008 0.6303 0.244 0.000 0.000 0.756
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 4 0.4697 0.3812 0.356 0.000 0.000 0.644
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.1474 0.8748 0.052 0.000 0.000 0.948
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.1557 0.8953 0.944 0.000 0.000 0.056
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.1118 0.8902 0.036 0.000 0.000 0.964
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.1022 0.9041 0.968 0.000 0.000 0.032
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.3688 0.7383 0.208 0.000 0.792 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.0817 0.8867 0.000 0.024 0.976 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.2973 0.8100 0.000 0.144 0.856 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.1557 0.8785 0.056 0.000 0.944 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.1118 0.9037 0.964 0.000 0.000 0.036
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.1302 0.8804 0.044 0.000 0.956 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0817 0.9470 0.000 0.976 0.024 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.4406 0.6136 0.700 0.000 0.000 0.300
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0188 0.8980 0.996 0.000 0.000 0.004
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.4304 0.6423 0.716 0.000 0.000 0.284
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.1118 0.9405 0.000 0.964 0.036 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0921 0.9444 0.000 0.972 0.028 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.1022 0.9041 0.968 0.000 0.000 0.032
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.2635 0.8277 0.020 0.000 0.076 0.904
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.1022 0.9041 0.968 0.000 0.000 0.032
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.0817 0.8867 0.000 0.024 0.976 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.0921 0.8838 0.000 0.000 0.028 0.972
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.1610 0.9294 0.032 0.952 0.016 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.8958 1.000 0.000 0.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> 83B88608-0506-428C-B9E8-621F38477B42 4 0.0336 0.9054 0.008 0.000 0.000 0.992
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0188 0.9045 0.000 0.004 0.000 0.996
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0817 0.8926 0.976 0.000 0.024 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.2760 0.8377 0.872 0.000 0.000 0.128
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 3 0.2408 0.8328 0.104 0.000 0.896 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.1557 0.8785 0.056 0.000 0.944 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.8958 1.000 0.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.0817 0.8867 0.000 0.024 0.976 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.2216 0.8742 0.000 0.908 0.000 0.092
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.4661 0.4697 0.000 0.652 0.000 0.348
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1022 0.9041 0.968 0.000 0.000 0.032
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.1520 0.9008 0.956 0.000 0.024 0.020
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 4 0.4977 0.0405 0.460 0.000 0.000 0.540
#> F9DD688C-7B35-49E7-9651-2E098EE78856 4 0.0336 0.9054 0.008 0.000 0.000 0.992
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 4 0.3444 0.7286 0.184 0.000 0.000 0.816
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.1936 0.9211 0.028 0.940 0.032 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.2032 0.9180 0.028 0.936 0.036 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0817 0.8926 0.976 0.000 0.024 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.1474 0.8974 0.948 0.000 0.000 0.052
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.4250 0.6457 0.000 0.276 0.724 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0707 0.9041 0.980 0.000 0.000 0.020
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0921 0.9444 0.000 0.972 0.028 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.1389 0.8801 0.048 0.000 0.952 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.1867 0.8664 0.000 0.072 0.928 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.1118 0.9037 0.964 0.000 0.000 0.036
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.2149 0.8596 0.088 0.000 0.912 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0336 0.9000 0.992 0.000 0.000 0.008
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 4 0.3356 0.7408 0.176 0.000 0.000 0.824
#> D005833F-E991-4E9E-9667-55F137288004 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.1118 0.9037 0.964 0.000 0.000 0.036
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.4855 0.2622 0.000 0.600 0.400 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.1833 0.8871 0.032 0.024 0.944 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0524 0.8985 0.988 0.000 0.008 0.004
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.8958 1.000 0.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0707 0.9041 0.980 0.000 0.000 0.020
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0817 0.8926 0.976 0.000 0.024 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.5581 0.1817 0.532 0.000 0.448 0.020
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.4761 0.4668 0.000 0.372 0.628 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.5300 0.3051 0.580 0.000 0.408 0.012
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.4855 0.2622 0.000 0.600 0.400 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 4 0.0921 0.8937 0.028 0.000 0.000 0.972
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.4977 0.1593 0.540 0.000 0.460 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.1211 0.9028 0.960 0.000 0.000 0.040
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.1833 0.9007 0.944 0.000 0.024 0.032
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.3688 0.7510 0.792 0.000 0.000 0.208
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.3074 0.7322 0.000 0.152 0.000 0.848
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.4431 0.6081 0.696 0.000 0.000 0.304
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.1118 0.9405 0.000 0.964 0.036 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.1284 0.8988 0.964 0.000 0.024 0.012
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.1833 0.8871 0.032 0.024 0.944 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.0188 0.9069 0.004 0.000 0.000 0.996
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.0817 0.8867 0.000 0.024 0.976 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.1022 0.9041 0.968 0.000 0.000 0.032
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.4679 0.4233 0.000 0.352 0.000 0.648
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.3108 0.8542 0.016 0.872 0.112 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.1474 0.8977 0.948 0.000 0.000 0.052
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.1302 0.9005 0.956 0.000 0.000 0.044
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 3 0.4830 0.3096 0.392 0.000 0.608 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.1716 0.8483 0.936 0.000 0.064 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.4679 0.5151 0.648 0.000 0.000 0.352
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0707 0.9041 0.980 0.000 0.000 0.020
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.1733 0.8875 0.028 0.024 0.948 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.9081 0.000 0.000 0.000 1.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.1022 0.9041 0.968 0.000 0.000 0.032
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.1118 0.8851 0.964 0.000 0.036 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.4994 0.1038 0.520 0.000 0.000 0.480
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.4855 0.4016 0.600 0.000 0.000 0.400
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.9657 0.000 1.000 0.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0707 0.9041 0.980 0.000 0.000 0.020
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.5237 0.3949 0.016 0.628 0.356 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1833 0.9007 0.944 0.000 0.024 0.032
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.2674 0.7620 0.012 0.000 0.000 0.868 0.120
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0162 0.7709 0.996 0.000 0.000 0.000 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.2127 0.7670 0.892 0.000 0.000 0.000 0.108
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.2707 0.7529 0.000 0.008 0.860 0.000 0.132
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 4 0.1478 0.7666 0.000 0.064 0.000 0.936 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.3796 0.3613 0.700 0.000 0.000 0.000 0.300
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0162 0.7709 0.996 0.000 0.000 0.000 0.004
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.8147 0.000 0.000 0.000 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 5 0.4192 0.4444 0.000 0.404 0.000 0.000 0.596
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.2424 0.7576 0.000 0.000 0.868 0.000 0.132
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.2424 0.7576 0.000 0.000 0.868 0.000 0.132
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0162 0.7709 0.996 0.000 0.000 0.000 0.004
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0290 0.7693 0.992 0.000 0.000 0.000 0.008
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0609 0.9010 0.000 0.980 0.000 0.000 0.020
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.8147 0.000 0.000 0.000 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.2230 0.7623 0.000 0.000 0.884 0.000 0.116
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.3143 0.5511 0.796 0.000 0.000 0.000 0.204
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.3857 0.5485 0.688 0.000 0.000 0.312 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2280 0.7635 0.880 0.000 0.000 0.000 0.120
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.1116 0.7708 0.028 0.000 0.964 0.004 0.004
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 5 0.6047 -0.0166 0.136 0.000 0.000 0.332 0.532
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.2852 0.7354 0.828 0.000 0.000 0.000 0.172
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 5 0.4015 0.2345 0.348 0.000 0.000 0.000 0.652
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4926 0.5272 0.000 0.712 0.176 0.000 0.112
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1768 0.7730 0.924 0.000 0.000 0.004 0.072
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.6485 0.0675 0.000 0.488 0.288 0.000 0.224
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0162 0.7709 0.996 0.000 0.000 0.000 0.004
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.1502 0.7531 0.940 0.000 0.000 0.056 0.004
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.7719 1.000 0.000 0.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.2439 0.7656 0.004 0.000 0.000 0.876 0.120
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.6055 0.0281 0.408 0.000 0.000 0.472 0.120
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.5382 0.5389 0.592 0.000 0.000 0.072 0.336
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.3586 0.7167 0.000 0.000 0.736 0.000 0.264
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.3586 0.7167 0.000 0.000 0.736 0.000 0.264
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.5903 0.3751 0.548 0.000 0.000 0.332 0.120
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.5429 0.5025 0.564 0.000 0.000 0.068 0.368
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0290 0.9126 0.000 0.992 0.000 0.000 0.008
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.6069 -0.0659 0.432 0.000 0.000 0.448 0.120
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.2230 0.7649 0.884 0.000 0.000 0.000 0.116
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.4101 0.4317 0.628 0.000 0.000 0.372 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.2230 0.7649 0.884 0.000 0.000 0.000 0.116
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.2280 0.7182 0.120 0.000 0.880 0.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.3715 0.7176 0.000 0.004 0.736 0.000 0.260
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.8147 0.000 0.000 0.000 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0162 0.8140 0.000 0.000 0.000 0.996 0.004
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.5579 0.6158 0.000 0.116 0.620 0.000 0.264
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.1908 0.7677 0.000 0.000 0.908 0.000 0.092
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0162 0.7709 0.996 0.000 0.000 0.000 0.004
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.7744 0.000 0.000 1.000 0.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 5 0.4249 0.3944 0.000 0.432 0.000 0.000 0.568
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.2813 0.7618 0.868 0.000 0.000 0.024 0.108
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0162 0.7709 0.996 0.000 0.000 0.000 0.004
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.3051 0.7551 0.852 0.000 0.000 0.028 0.120
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 5 0.4201 0.4391 0.000 0.408 0.000 0.000 0.592
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.3480 0.6022 0.000 0.752 0.000 0.000 0.248
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.8147 0.000 0.000 0.000 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.7719 1.000 0.000 0.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.6337 0.3932 0.284 0.000 0.092 0.584 0.040
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.7719 1.000 0.000 0.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.2230 0.7666 0.000 0.000 0.884 0.000 0.116
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.8147 0.000 0.000 0.000 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.4162 0.6012 0.004 0.000 0.004 0.680 0.312
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.5273 0.1689 0.000 0.588 0.060 0.000 0.352
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.4287 -0.0810 0.540 0.000 0.000 0.000 0.460
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0000 0.8147 0.000 0.000 0.000 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.4287 0.2156 0.540 0.000 0.000 0.460 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0000 0.8147 0.000 0.000 0.000 1.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.4305 -0.1437 0.512 0.000 0.000 0.000 0.488
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.2389 0.7644 0.880 0.000 0.000 0.004 0.116
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 3 0.2970 0.6675 0.168 0.000 0.828 0.000 0.004
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.7744 0.000 0.000 1.000 0.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0162 0.7709 0.996 0.000 0.000 0.000 0.004
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.3424 0.7271 0.000 0.000 0.760 0.000 0.240
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.4249 0.1371 0.000 0.432 0.000 0.568 0.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 4 0.5758 0.2340 0.000 0.284 0.000 0.592 0.124
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.7719 1.000 0.000 0.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.4268 -0.0335 0.556 0.000 0.000 0.000 0.444
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.5902 0.4095 0.556 0.000 0.000 0.320 0.124
#> F9DD688C-7B35-49E7-9651-2E098EE78856 4 0.5059 0.5956 0.192 0.000 0.000 0.696 0.112
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4126 0.4142 0.620 0.000 0.000 0.380 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 5 0.4321 0.4560 0.004 0.396 0.000 0.000 0.600
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 5 0.4977 0.4964 0.040 0.356 0.000 0.000 0.604
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.4294 -0.1024 0.532 0.000 0.000 0.000 0.468
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.2127 0.7670 0.892 0.000 0.000 0.000 0.108
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.6598 0.2666 0.000 0.356 0.428 0.000 0.216
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.7719 1.000 0.000 0.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.3586 0.5784 0.000 0.736 0.000 0.000 0.264
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.0000 0.7744 0.000 0.000 1.000 0.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.5284 0.6522 0.000 0.104 0.660 0.000 0.236
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.8147 0.000 0.000 0.000 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.8147 0.000 0.000 0.000 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.2179 0.7660 0.888 0.000 0.000 0.000 0.112
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.2230 0.7220 0.116 0.000 0.884 0.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0404 0.7668 0.988 0.000 0.000 0.000 0.012
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.5274 0.5093 0.572 0.000 0.000 0.056 0.372
#> D005833F-E991-4E9E-9667-55F137288004 4 0.2624 0.7639 0.012 0.000 0.000 0.872 0.116
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0290 0.8131 0.000 0.000 0.000 0.992 0.008
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.2127 0.7670 0.892 0.000 0.000 0.000 0.108
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.5811 0.3548 0.000 0.596 0.140 0.000 0.264
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.2424 0.7576 0.000 0.000 0.868 0.000 0.132
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.2127 0.6986 0.892 0.000 0.000 0.000 0.108
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0703 0.7594 0.976 0.000 0.000 0.000 0.024
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0162 0.7709 0.996 0.000 0.000 0.000 0.004
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.1341 0.8672 0.000 0.944 0.000 0.000 0.056
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 5 0.4307 0.0976 0.500 0.000 0.000 0.000 0.500
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.3970 0.7270 0.800 0.000 0.096 0.000 0.104
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.6636 -0.0353 0.000 0.452 0.284 0.000 0.264
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.3745 0.7139 0.780 0.000 0.024 0.000 0.196
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.5888 0.3259 0.000 0.580 0.140 0.000 0.280
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.3593 0.7337 0.060 0.000 0.000 0.824 0.116
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 4 0.5916 0.2643 0.336 0.000 0.000 0.544 0.120
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.5314 0.5213 0.672 0.000 0.192 0.000 0.136
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0162 0.7709 0.996 0.000 0.000 0.000 0.004
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 5 0.4287 -0.0982 0.460 0.000 0.000 0.000 0.540
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.3895 0.3903 0.000 0.680 0.000 0.000 0.320
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.2233 0.7728 0.004 0.000 0.000 0.892 0.104
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.2462 0.7649 0.880 0.000 0.000 0.008 0.112
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.0290 0.8095 0.000 0.008 0.000 0.992 0.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.5000 0.5131 0.576 0.000 0.000 0.036 0.388
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 5 0.4249 0.3858 0.000 0.432 0.000 0.000 0.568
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 5 0.4291 -0.0732 0.464 0.000 0.000 0.000 0.536
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.2424 0.7576 0.000 0.000 0.868 0.000 0.132
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.4458 0.6744 0.120 0.000 0.000 0.760 0.120
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.3508 0.7222 0.000 0.000 0.748 0.000 0.252
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2280 0.7635 0.880 0.000 0.000 0.000 0.120
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.8147 0.000 0.000 0.000 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.2605 0.6457 0.000 0.148 0.000 0.852 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.8147 0.000 0.000 0.000 1.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 5 0.2561 0.3390 0.000 0.144 0.000 0.000 0.856
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.2179 0.7660 0.888 0.000 0.000 0.000 0.112
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.6394 -0.0393 0.504 0.000 0.000 0.204 0.292
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 3 0.6673 0.3336 0.232 0.000 0.384 0.000 0.384
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 3 0.6540 0.1484 0.268 0.000 0.480 0.000 0.252
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.3134 0.7529 0.848 0.000 0.000 0.032 0.120
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.1671 0.8443 0.000 0.924 0.000 0.000 0.076
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0162 0.7724 0.996 0.000 0.000 0.000 0.004
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.8147 0.000 0.000 0.000 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.2424 0.7576 0.000 0.000 0.868 0.000 0.132
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.2020 0.8136 0.000 0.900 0.000 0.000 0.100
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.8147 0.000 0.000 0.000 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.7719 1.000 0.000 0.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.4192 0.2930 0.404 0.000 0.000 0.000 0.596
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.4015 0.2816 0.000 0.652 0.000 0.000 0.348
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.4210 0.3441 0.588 0.000 0.000 0.412 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.5664 0.5823 0.632 0.000 0.000 0.168 0.200
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.9194 0.000 1.000 0.000 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0404 0.9083 0.000 0.988 0.000 0.000 0.012
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0162 0.7709 0.996 0.000 0.000 0.000 0.004
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 5 0.4498 0.1796 0.000 0.132 0.112 0.000 0.756
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2813 0.7467 0.832 0.000 0.000 0.000 0.168
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0692 0.92968 0.000 0.976 0.000 0.000 0.004 0.020
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.4620 0.58902 0.068 0.000 0.000 0.640 0.000 0.292
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0777 0.92962 0.000 0.972 0.000 0.000 0.004 0.024
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1387 0.75127 0.932 0.000 0.000 0.000 0.068 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0806 0.92819 0.000 0.972 0.000 0.000 0.008 0.020
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.2996 0.67672 0.772 0.000 0.000 0.000 0.000 0.228
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#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0520 0.93286 0.000 0.984 0.008 0.000 0.000 0.008
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.0000 0.80291 0.000 0.000 0.000 1.000 0.000 0.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 6 0.4841 -0.00609 0.332 0.000 0.000 0.048 0.012 0.608
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 5 0.2243 0.69156 0.000 0.112 0.004 0.000 0.880 0.004
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.93547 0.000 1.000 0.000 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 5 0.3655 0.66166 0.076 0.000 0.000 0.000 0.788 0.136
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0777 0.92962 0.000 0.972 0.000 0.000 0.004 0.024
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.93547 0.000 1.000 0.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.1814 0.70450 0.000 0.000 0.900 0.000 0.100 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0146 0.93525 0.000 0.996 0.000 0.000 0.000 0.004
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.4929 0.55513 0.092 0.000 0.000 0.608 0.000 0.300
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.93547 0.000 1.000 0.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0767 0.92990 0.000 0.976 0.000 0.008 0.004 0.012
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0508 0.93273 0.000 0.984 0.000 0.000 0.004 0.012
#> 765AFFC1-D528-4494-8BA1-0706451E4205 6 0.3795 -0.08650 0.000 0.000 0.364 0.000 0.004 0.632
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2854 0.68631 0.792 0.000 0.000 0.000 0.000 0.208
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.80291 0.000 0.000 0.000 1.000 0.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.0547 0.78679 0.000 0.020 0.000 0.980 0.000 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.80291 0.000 0.000 0.000 1.000 0.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 5 0.1812 0.69923 0.000 0.008 0.000 0.000 0.912 0.080
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.2996 0.67684 0.772 0.000 0.000 0.000 0.000 0.228
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 5 0.5602 0.45373 0.188 0.000 0.000 0.276 0.536 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0692 0.92968 0.000 0.976 0.000 0.000 0.004 0.020
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 6 0.1245 0.22262 0.032 0.000 0.016 0.000 0.000 0.952
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0146 0.93525 0.000 0.996 0.000 0.000 0.000 0.004
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0291 0.93429 0.000 0.992 0.004 0.000 0.000 0.004
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 5 0.6879 0.36599 0.204 0.000 0.124 0.000 0.500 0.172
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.3428 0.62324 0.696 0.000 0.000 0.000 0.000 0.304
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.2752 0.82026 0.000 0.864 0.096 0.000 0.036 0.004
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0260 0.75411 0.992 0.000 0.000 0.000 0.008 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0146 0.93525 0.000 0.996 0.000 0.000 0.000 0.004
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.80291 0.000 0.000 0.000 1.000 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.1814 0.70450 0.000 0.000 0.900 0.000 0.100 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0692 0.93174 0.000 0.976 0.000 0.004 0.000 0.020
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.1556 0.87172 0.000 0.920 0.000 0.000 0.080 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.80291 0.000 0.000 0.000 1.000 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.1387 0.75127 0.932 0.000 0.000 0.000 0.068 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.0692 0.72773 0.020 0.000 0.004 0.000 0.976 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 5 0.3819 0.52756 0.000 0.280 0.000 0.000 0.700 0.020
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.2234 0.70461 0.872 0.000 0.004 0.124 0.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 6 0.6573 -0.18390 0.368 0.000 0.000 0.136 0.064 0.432
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0260 0.93331 0.000 0.992 0.000 0.008 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0937 0.90844 0.000 0.960 0.000 0.000 0.000 0.040
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.1387 0.75127 0.932 0.000 0.000 0.000 0.068 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 5 0.6310 0.16077 0.012 0.064 0.064 0.000 0.440 0.420
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.4247 0.60445 0.664 0.000 0.000 0.000 0.040 0.296
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 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.321 0.614 0.779 0.3169 0.868 0.868
#> 3 3 0.712 0.795 0.878 0.8345 0.562 0.498
#> 4 4 0.668 0.695 0.813 0.1362 0.954 0.896
#> 5 5 0.644 0.720 0.832 0.0679 0.907 0.766
#> 6 6 0.672 0.726 0.841 0.0368 0.972 0.912
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 1 0.0000 0.597 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.9710 0.686 0.600 0.400
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 1 0.4939 0.490 0.892 0.108
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.9732 0.684 0.596 0.404
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 1 0.8267 0.373 0.740 0.260
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.9775 0.680 0.588 0.412
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 1 0.0376 0.594 0.996 0.004
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.7883 0.902 0.236 0.764
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 1 0.4161 0.626 0.916 0.084
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.9909 0.422 0.556 0.444
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.9710 0.686 0.600 0.400
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.9608 0.684 0.616 0.384
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 1 0.4298 0.567 0.912 0.088
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.7883 0.902 0.236 0.764
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.7883 0.902 0.236 0.764
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.9732 0.684 0.596 0.404
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 1 0.0672 0.590 0.992 0.008
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.9993 0.607 0.516 0.484
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 1 0.1184 0.582 0.984 0.016
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 1 0.2778 0.570 0.952 0.048
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.9608 0.684 0.616 0.384
#> EDD7E63D-492A-473B-A552-0764337B10EF 1 0.0938 0.602 0.988 0.012
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.9686 0.685 0.604 0.396
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.9710 0.686 0.600 0.400
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.9833 0.671 0.576 0.424
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 1 0.0000 0.597 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.9954 0.637 0.540 0.460
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.9754 0.683 0.592 0.408
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.9881 0.429 0.564 0.436
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.9795 0.412 0.584 0.416
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 1 0.0938 0.602 0.988 0.012
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.9710 0.686 0.600 0.400
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 1 0.8207 0.341 0.744 0.256
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.9710 0.686 0.600 0.400
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.9710 0.686 0.600 0.400
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.9732 0.684 0.596 0.404
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 1 0.0000 0.597 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 1 0.0000 0.597 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.9732 0.684 0.596 0.404
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.9710 0.686 0.600 0.400
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.9732 0.684 0.596 0.404
#> 253601DB-B78A-4566-9947-8C0270C0B163 1 0.0000 0.597 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.6887 0.894 0.184 0.816
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 1 0.0000 0.597 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.7815 0.865 0.232 0.768
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.9732 0.684 0.596 0.404
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.9732 0.684 0.596 0.404
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 1 0.0938 0.602 0.988 0.012
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 1 0.0000 0.597 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 1 0.8267 0.373 0.740 0.260
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.9710 0.686 0.600 0.400
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.9710 0.686 0.600 0.400
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.9710 0.686 0.600 0.400
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.9775 0.680 0.588 0.412
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.9896 0.656 0.560 0.440
#> E19D5463-FDD0-41C1-A170-323736A88D07 1 0.8207 0.341 0.744 0.256
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.9608 0.684 0.616 0.384
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.9608 0.684 0.616 0.384
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 1 0.8207 0.341 0.744 0.256
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.7219 0.898 0.200 0.800
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.9710 0.686 0.600 0.400
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 2 0.6801 0.892 0.180 0.820
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 1 0.7139 0.408 0.804 0.196
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.9710 0.686 0.600 0.400
#> ACE6566B-AEB9-426C-924A-B382D14A1024 1 0.0000 0.597 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.9710 0.686 0.600 0.400
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.9754 0.683 0.592 0.408
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 1 0.0376 0.594 0.996 0.004
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 1 0.7056 0.415 0.808 0.192
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 1 0.5408 0.480 0.876 0.124
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 1 0.2423 0.600 0.960 0.040
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.9608 0.684 0.616 0.384
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.9732 0.684 0.596 0.404
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 1 0.0000 0.597 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.9732 0.684 0.596 0.404
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.9732 0.684 0.596 0.404
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 1 0.9000 0.327 0.684 0.316
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 1 0.0000 0.597 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.9608 0.684 0.616 0.384
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 1 0.0000 0.597 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.9710 0.686 0.600 0.400
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 1 0.0000 0.597 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 1 0.0000 0.597 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 1 0.8267 0.331 0.740 0.260
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.9909 0.422 0.556 0.444
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.9686 0.685 0.604 0.396
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.9710 0.686 0.600 0.400
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.4690 0.631 0.900 0.100
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.9954 0.637 0.540 0.460
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.9775 0.680 0.588 0.412
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.9881 0.659 0.564 0.436
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 2 0.6801 0.892 0.180 0.820
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.9963 0.433 0.536 0.464
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 1 0.9000 0.327 0.684 0.316
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 1 0.4690 0.631 0.900 0.100
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 1 0.0000 0.597 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 1 0.8207 0.341 0.744 0.256
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 1 0.4431 0.629 0.908 0.092
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.9732 0.685 0.596 0.404
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.9710 0.686 0.600 0.400
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.9710 0.686 0.600 0.400
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.9710 0.686 0.600 0.400
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.9710 0.686 0.600 0.400
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 1 0.7056 0.415 0.808 0.192
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 1 0.0000 0.597 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 1 0.7056 0.415 0.808 0.192
#> CC02897D-9123-495E-9242-5C9CF4EC269B 1 0.0000 0.597 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.9833 0.671 0.576 0.424
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.9732 0.684 0.596 0.404
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 1 0.9000 0.327 0.684 0.316
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.9732 0.684 0.596 0.404
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 1 0.0000 0.597 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 1 0.5178 0.552 0.884 0.116
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 2 0.6801 0.892 0.180 0.820
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 1 0.0000 0.597 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 1 0.0000 0.597 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 1 0.9000 0.327 0.684 0.316
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.9686 0.685 0.604 0.396
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.9608 0.684 0.616 0.384
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 1 0.0000 0.597 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.9732 0.684 0.596 0.404
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 2 0.9833 -0.440 0.424 0.576
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.9710 0.686 0.600 0.400
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.9710 0.686 0.600 0.400
#> D005833F-E991-4E9E-9667-55F137288004 1 0.9710 0.686 0.600 0.400
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.9608 0.684 0.616 0.384
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.9732 0.684 0.596 0.404
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 1 0.8861 0.324 0.696 0.304
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.7883 0.902 0.236 0.764
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 1 0.0000 0.597 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.9993 0.607 0.516 0.484
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.9710 0.686 0.600 0.400
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.9710 0.686 0.600 0.400
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 1 0.8267 0.331 0.740 0.260
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 1 0.9795 0.412 0.584 0.416
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.9909 0.422 0.556 0.444
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 1 0.0000 0.597 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.9881 0.659 0.564 0.436
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 1 0.6801 0.471 0.820 0.180
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.9833 0.671 0.576 0.424
#> 41183565-434D-474C-B1BD-CA6E94910658 1 0.8861 0.324 0.696 0.304
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.9710 0.686 0.600 0.400
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.9732 0.684 0.596 0.404
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.9732 0.684 0.596 0.404
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.9710 0.686 0.600 0.400
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.9815 0.673 0.580 0.420
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 1 0.0376 0.594 0.996 0.004
#> 64552DC0-181E-4607-898C-787AA7F26435 1 0.0000 0.597 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.9608 0.684 0.616 0.384
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 1 0.0376 0.594 0.996 0.004
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.9710 0.686 0.600 0.400
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 1 0.1414 0.600 0.980 0.020
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 1 0.1633 0.593 0.976 0.024
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 1 0.4161 0.626 0.916 0.084
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.9710 0.686 0.600 0.400
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 1 0.0000 0.597 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 1 0.0000 0.597 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.9754 0.683 0.592 0.408
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 1 0.3431 0.603 0.936 0.064
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 1 0.0000 0.597 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.7883 0.902 0.236 0.764
#> 4464650B-453F-476C-989C-B7B159BF2CF0 1 0.0000 0.597 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.9710 0.686 0.600 0.400
#> E52A22CC-3C03-41A9-9541-220DD871E162 1 0.0000 0.597 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 1 0.2236 0.611 0.964 0.036
#> 8F0D1792-1284-45E6-8EC4-392596057677 1 0.0000 0.597 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.7950 0.854 0.240 0.760
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.9754 0.683 0.592 0.408
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.9608 0.684 0.616 0.384
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 1 0.4690 0.631 0.900 0.100
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.9491 0.684 0.632 0.368
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 1 0.8555 0.317 0.720 0.280
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.9732 0.684 0.596 0.404
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.9686 0.685 0.604 0.396
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 1 0.5178 0.552 0.884 0.116
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.9896 0.656 0.560 0.440
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 1 0.0000 0.597 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 1 0.5408 0.480 0.876 0.124
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.9963 0.433 0.536 0.464
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.9732 0.684 0.596 0.404
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 1 0.0000 0.597 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.9732 0.684 0.596 0.404
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 1 0.2778 0.598 0.952 0.048
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.9608 0.684 0.616 0.384
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.7883 0.902 0.236 0.764
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 1 0.4298 0.610 0.912 0.088
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 1 0.0000 0.597 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.9608 0.684 0.616 0.384
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.9710 0.686 0.600 0.400
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.9896 0.419 0.560 0.440
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 1 0.0376 0.599 0.996 0.004
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.9732 0.684 0.596 0.404
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.9732 0.684 0.596 0.404
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 1 0.3879 0.624 0.924 0.076
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 1 0.4161 0.626 0.916 0.084
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.9710 0.686 0.600 0.400
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 1 0.8909 0.325 0.692 0.308
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.9732 0.684 0.596 0.404
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.2066 0.8358 0.060 0.940 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0983 0.9173 0.980 0.016 0.004
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.6138 0.7531 0.060 0.768 0.172
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1647 0.9092 0.960 0.036 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.6742 0.5641 0.028 0.656 0.316
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.1491 0.9120 0.968 0.016 0.016
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.2947 0.8352 0.060 0.920 0.020
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.2165 0.9552 0.000 0.064 0.936
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4521 0.7387 0.180 0.816 0.004
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.8918 0.1751 0.492 0.128 0.380
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0983 0.9181 0.980 0.016 0.004
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.1711 0.9006 0.960 0.032 0.008
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.5558 0.7583 0.048 0.800 0.152
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.2165 0.9552 0.000 0.064 0.936
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.2261 0.9510 0.000 0.068 0.932
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.1647 0.9092 0.960 0.036 0.004
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.3083 0.8352 0.060 0.916 0.024
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4892 0.8213 0.840 0.048 0.112
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.3045 0.8322 0.064 0.916 0.020
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.4370 0.8087 0.056 0.868 0.076
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.1950 0.8958 0.952 0.040 0.008
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.3554 0.8324 0.064 0.900 0.036
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0983 0.9175 0.980 0.016 0.004
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0983 0.9173 0.980 0.016 0.004
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.4288 0.8489 0.872 0.068 0.060
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.2066 0.8358 0.060 0.940 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.5731 0.7834 0.804 0.108 0.088
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0829 0.9184 0.984 0.012 0.004
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.8710 0.2174 0.508 0.112 0.380
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.9202 0.0819 0.460 0.152 0.388
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.3554 0.8324 0.064 0.900 0.036
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0983 0.9181 0.980 0.016 0.004
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.6688 0.5418 0.028 0.664 0.308
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0983 0.9173 0.980 0.016 0.004
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0983 0.9173 0.980 0.016 0.004
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0829 0.9172 0.984 0.012 0.004
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.2066 0.8358 0.060 0.940 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.2066 0.8358 0.060 0.940 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0829 0.9180 0.984 0.012 0.004
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0983 0.9173 0.980 0.016 0.004
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0592 0.9182 0.988 0.012 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.2066 0.8358 0.060 0.940 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0661 0.9435 0.008 0.004 0.988
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.2066 0.8358 0.060 0.940 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.2860 0.9082 0.004 0.084 0.912
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0592 0.9182 0.988 0.012 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0592 0.9182 0.988 0.012 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.3888 0.8300 0.064 0.888 0.048
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.2066 0.8358 0.060 0.940 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.6742 0.5641 0.028 0.656 0.316
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0892 0.9167 0.980 0.020 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0983 0.9181 0.980 0.016 0.004
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0983 0.9173 0.980 0.016 0.004
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.1453 0.9110 0.968 0.024 0.008
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.4745 0.8299 0.852 0.080 0.068
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.6688 0.5418 0.028 0.664 0.308
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.1832 0.8975 0.956 0.036 0.008
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.1950 0.8958 0.952 0.040 0.008
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.6688 0.5418 0.028 0.664 0.308
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.1399 0.9513 0.004 0.028 0.968
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0983 0.9173 0.980 0.016 0.004
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0424 0.9415 0.008 0.000 0.992
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.6226 0.6369 0.028 0.720 0.252
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0983 0.9181 0.980 0.016 0.004
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.2066 0.8358 0.060 0.940 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0747 0.9175 0.984 0.016 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0829 0.9184 0.984 0.012 0.004
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.3213 0.8340 0.060 0.912 0.028
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.6834 0.6458 0.048 0.692 0.260
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.5119 0.7296 0.032 0.816 0.152
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.4477 0.8219 0.068 0.864 0.068
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.1950 0.8958 0.952 0.040 0.008
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0829 0.9180 0.984 0.012 0.004
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.2066 0.8358 0.060 0.940 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.1950 0.9068 0.952 0.040 0.008
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0829 0.9172 0.984 0.012 0.004
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.7240 0.2879 0.028 0.540 0.432
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.2066 0.8358 0.060 0.940 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.1950 0.8958 0.952 0.040 0.008
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.2066 0.8358 0.060 0.940 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.1129 0.9163 0.976 0.020 0.004
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.2066 0.8358 0.060 0.940 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.2066 0.8358 0.060 0.940 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.6855 0.5493 0.032 0.652 0.316
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.8699 0.2286 0.512 0.112 0.376
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.1267 0.9071 0.972 0.024 0.004
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0983 0.9173 0.980 0.016 0.004
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.4784 0.7147 0.200 0.796 0.004
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.5731 0.7834 0.804 0.108 0.088
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.1774 0.9075 0.960 0.024 0.016
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.4652 0.8336 0.856 0.080 0.064
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0424 0.9415 0.008 0.000 0.992
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.8604 0.3032 0.540 0.112 0.348
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.7248 0.2765 0.028 0.536 0.436
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.4062 0.7582 0.164 0.836 0.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.2165 0.8356 0.064 0.936 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.6570 0.5634 0.028 0.680 0.292
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.3941 0.7652 0.156 0.844 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1170 0.9184 0.976 0.016 0.008
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0983 0.9181 0.980 0.016 0.004
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0592 0.9179 0.988 0.012 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0983 0.9173 0.980 0.016 0.004
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0983 0.9173 0.980 0.016 0.004
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.6834 0.6458 0.048 0.692 0.260
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.2066 0.8358 0.060 0.940 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.6834 0.6458 0.048 0.692 0.260
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.2066 0.8358 0.060 0.940 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.4288 0.8489 0.872 0.068 0.060
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0829 0.9172 0.984 0.012 0.004
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.7248 0.2765 0.028 0.536 0.436
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0829 0.9172 0.984 0.012 0.004
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.2165 0.8355 0.064 0.936 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.6098 0.7413 0.056 0.768 0.176
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.0424 0.9415 0.008 0.000 0.992
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.2066 0.8358 0.060 0.940 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.2066 0.8358 0.060 0.940 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.7248 0.2765 0.028 0.536 0.436
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.1399 0.9052 0.968 0.028 0.004
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.1950 0.8958 0.952 0.040 0.008
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.2066 0.8358 0.060 0.940 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0829 0.9172 0.984 0.012 0.004
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.6203 0.7305 0.760 0.056 0.184
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0983 0.9181 0.980 0.016 0.004
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0892 0.9167 0.980 0.020 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0829 0.9162 0.984 0.012 0.004
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.1950 0.8958 0.952 0.040 0.008
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0829 0.9172 0.984 0.012 0.004
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.7213 0.3149 0.028 0.552 0.420
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.2165 0.9552 0.000 0.064 0.936
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.2066 0.8358 0.060 0.940 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.5639 0.7829 0.808 0.080 0.112
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0983 0.9181 0.980 0.016 0.004
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0983 0.9181 0.980 0.016 0.004
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.6855 0.5493 0.032 0.652 0.316
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 1 0.9202 0.0819 0.460 0.152 0.388
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.8918 0.1751 0.492 0.128 0.380
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.2066 0.8358 0.060 0.940 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.4652 0.8336 0.856 0.080 0.064
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.6335 0.6444 0.036 0.724 0.240
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.4288 0.8489 0.872 0.068 0.060
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.7213 0.3149 0.028 0.552 0.420
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0983 0.9173 0.980 0.016 0.004
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0592 0.9182 0.988 0.012 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.2550 0.8974 0.936 0.040 0.024
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0983 0.9173 0.980 0.016 0.004
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.3267 0.8790 0.912 0.044 0.044
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.3045 0.8355 0.064 0.916 0.020
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.2066 0.8358 0.060 0.940 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.1950 0.8958 0.952 0.040 0.008
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.2301 0.8358 0.060 0.936 0.004
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0983 0.9181 0.980 0.016 0.004
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.3623 0.8315 0.072 0.896 0.032
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.3888 0.8292 0.064 0.888 0.048
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.4521 0.7387 0.180 0.816 0.004
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0892 0.9167 0.980 0.020 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.2066 0.8358 0.060 0.940 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.2066 0.8358 0.060 0.940 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0983 0.9150 0.980 0.016 0.004
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.5631 0.7913 0.064 0.804 0.132
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.2066 0.8358 0.060 0.940 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.2165 0.9552 0.000 0.064 0.936
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.2066 0.8358 0.060 0.940 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.1129 0.9162 0.976 0.020 0.004
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.2066 0.8358 0.060 0.940 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.2878 0.8163 0.096 0.904 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.2066 0.8358 0.060 0.940 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.3272 0.8823 0.004 0.104 0.892
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2414 0.8968 0.940 0.040 0.020
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.1950 0.8958 0.952 0.040 0.008
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.4784 0.7147 0.200 0.796 0.004
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.6676 0.1694 0.476 0.516 0.008
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.6890 0.5021 0.028 0.632 0.340
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0661 0.9171 0.988 0.008 0.004
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0983 0.9152 0.980 0.016 0.004
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.6192 0.7445 0.060 0.764 0.176
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.4745 0.8299 0.852 0.080 0.068
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.2066 0.8358 0.060 0.940 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.5119 0.7296 0.032 0.816 0.152
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.8604 0.3032 0.540 0.112 0.348
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.1182 0.9155 0.976 0.012 0.012
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.3083 0.8344 0.060 0.916 0.024
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0829 0.9172 0.984 0.012 0.004
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.4652 0.8181 0.064 0.856 0.080
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.1711 0.9006 0.960 0.032 0.008
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.2165 0.9552 0.000 0.064 0.936
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.4563 0.8027 0.112 0.852 0.036
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.2066 0.8358 0.060 0.940 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.1950 0.8958 0.952 0.040 0.008
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0983 0.9181 0.980 0.016 0.004
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.8927 0.1624 0.488 0.128 0.384
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.3213 0.8346 0.060 0.912 0.028
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0983 0.9184 0.980 0.016 0.004
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0829 0.9186 0.984 0.012 0.004
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.4033 0.7880 0.136 0.856 0.008
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.3983 0.7813 0.144 0.852 0.004
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0983 0.9181 0.980 0.016 0.004
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.7223 0.3042 0.028 0.548 0.424
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0848 0.9171 0.984 0.008 0.008
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0336 0.825 0.000 0.992 0.000 0.008
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.2281 0.694 0.904 0.000 0.000 0.096
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.5007 0.753 0.008 0.776 0.060 0.156
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.2149 0.739 0.912 0.000 0.000 0.088
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.6770 0.600 0.008 0.588 0.096 0.308
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.1211 0.757 0.960 0.000 0.000 0.040
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.1209 0.825 0.000 0.964 0.004 0.032
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.2256 0.941 0.000 0.056 0.924 0.020
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.3224 0.755 0.016 0.864 0.000 0.120
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.7641 0.189 0.488 0.016 0.140 0.356
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0188 0.759 0.996 0.000 0.000 0.004
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.5168 -0.798 0.500 0.004 0.000 0.496
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.5087 0.742 0.004 0.760 0.060 0.176
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.2256 0.941 0.000 0.056 0.924 0.020
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.2363 0.938 0.000 0.056 0.920 0.024
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.2149 0.739 0.912 0.000 0.000 0.088
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.1452 0.824 0.000 0.956 0.008 0.036
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.3257 0.653 0.844 0.000 0.004 0.152
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.1878 0.823 0.008 0.944 0.008 0.040
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.3573 0.797 0.008 0.864 0.028 0.100
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.5050 0.968 0.408 0.004 0.000 0.588
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.1888 0.821 0.000 0.940 0.016 0.044
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.3610 0.510 0.800 0.000 0.000 0.200
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.3266 0.573 0.832 0.000 0.000 0.168
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2944 0.685 0.868 0.000 0.004 0.128
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.4019 0.592 0.792 0.000 0.012 0.196
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.1389 0.747 0.952 0.000 0.000 0.048
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.7249 0.202 0.496 0.000 0.156 0.348
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.8212 0.144 0.464 0.040 0.152 0.344
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.1888 0.821 0.000 0.940 0.016 0.044
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0921 0.758 0.972 0.000 0.000 0.028
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.7069 0.542 0.012 0.536 0.096 0.356
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.2868 0.635 0.864 0.000 0.000 0.136
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.3172 0.589 0.840 0.000 0.000 0.160
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0592 0.760 0.984 0.000 0.000 0.016
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.2760 0.665 0.872 0.000 0.000 0.128
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.2345 0.685 0.900 0.000 0.000 0.100
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.1211 0.748 0.960 0.000 0.000 0.040
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0564 0.926 0.004 0.004 0.988 0.004
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0336 0.826 0.000 0.992 0.000 0.008
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.4130 0.849 0.000 0.064 0.828 0.108
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.1211 0.748 0.960 0.000 0.000 0.040
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.1211 0.748 0.960 0.000 0.000 0.040
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.2335 0.817 0.000 0.920 0.020 0.060
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0524 0.826 0.000 0.988 0.004 0.008
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.6806 0.593 0.008 0.580 0.096 0.316
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.1022 0.760 0.968 0.000 0.000 0.032
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.759 1.000 0.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.3219 0.581 0.836 0.000 0.000 0.164
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0921 0.759 0.972 0.000 0.000 0.028
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.3300 0.663 0.848 0.000 0.008 0.144
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.7069 0.542 0.012 0.536 0.096 0.356
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.5137 0.907 0.452 0.004 0.000 0.544
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.5105 0.963 0.432 0.004 0.000 0.564
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.7069 0.542 0.012 0.536 0.096 0.356
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.1284 0.937 0.000 0.024 0.964 0.012
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.2081 0.714 0.916 0.000 0.000 0.084
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0376 0.924 0.004 0.000 0.992 0.004
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.6467 0.633 0.008 0.620 0.080 0.292
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0336 0.759 0.992 0.000 0.000 0.008
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.825 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.1557 0.733 0.944 0.000 0.000 0.056
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.1118 0.755 0.964 0.000 0.000 0.036
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.1722 0.822 0.000 0.944 0.008 0.048
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.6703 0.635 0.012 0.624 0.100 0.264
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.5596 0.702 0.012 0.708 0.044 0.236
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.2982 0.810 0.004 0.896 0.032 0.068
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.5050 0.968 0.408 0.004 0.000 0.588
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0469 0.761 0.988 0.000 0.000 0.012
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0188 0.826 0.000 0.996 0.004 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.3610 0.591 0.800 0.000 0.000 0.200
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0592 0.760 0.984 0.000 0.000 0.016
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.7868 0.345 0.012 0.412 0.176 0.400
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.5050 0.968 0.408 0.004 0.000 0.588
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.1389 0.757 0.952 0.000 0.000 0.048
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0188 0.826 0.000 0.996 0.000 0.004
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.7088 0.562 0.012 0.552 0.104 0.332
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.7119 0.217 0.508 0.000 0.140 0.352
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.4401 0.215 0.724 0.004 0.000 0.272
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.3266 0.573 0.832 0.000 0.000 0.168
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.3653 0.737 0.028 0.844 0.000 0.128
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.4019 0.592 0.792 0.000 0.012 0.196
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.1211 0.756 0.960 0.000 0.000 0.040
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.3196 0.672 0.856 0.000 0.008 0.136
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0376 0.924 0.004 0.000 0.992 0.004
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.6863 0.247 0.536 0.000 0.116 0.348
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.7892 0.336 0.012 0.408 0.180 0.400
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.2909 0.769 0.020 0.888 0.000 0.092
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0376 0.825 0.004 0.992 0.000 0.004
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.6901 0.560 0.012 0.552 0.084 0.352
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.2662 0.776 0.016 0.900 0.000 0.084
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0469 0.761 0.988 0.000 0.000 0.012
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0592 0.760 0.984 0.000 0.000 0.016
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.1716 0.739 0.936 0.000 0.000 0.064
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.1940 0.714 0.924 0.000 0.000 0.076
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.3266 0.573 0.832 0.000 0.000 0.168
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.6703 0.635 0.012 0.624 0.100 0.264
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.6703 0.635 0.012 0.624 0.100 0.264
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.825 0.000 1.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.2944 0.685 0.868 0.000 0.004 0.128
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0592 0.760 0.984 0.000 0.000 0.016
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.7892 0.336 0.012 0.408 0.180 0.400
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0592 0.760 0.984 0.000 0.000 0.016
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0336 0.826 0.000 0.992 0.000 0.008
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.5327 0.737 0.008 0.752 0.068 0.172
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.0376 0.924 0.004 0.000 0.992 0.004
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.825 0.000 1.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0336 0.825 0.000 0.992 0.000 0.008
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.7892 0.336 0.012 0.408 0.180 0.400
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.4781 -0.201 0.660 0.004 0.000 0.336
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.5050 0.968 0.408 0.004 0.000 0.588
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0592 0.760 0.984 0.000 0.000 0.016
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.5352 0.460 0.740 0.000 0.168 0.092
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0336 0.759 0.992 0.000 0.000 0.008
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.1022 0.760 0.968 0.000 0.000 0.032
#> D005833F-E991-4E9E-9667-55F137288004 1 0.2868 0.631 0.864 0.000 0.000 0.136
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.5105 0.963 0.432 0.004 0.000 0.564
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0592 0.760 0.984 0.000 0.000 0.016
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.7815 0.365 0.012 0.424 0.168 0.396
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.2256 0.941 0.000 0.056 0.924 0.020
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.3710 0.606 0.804 0.000 0.004 0.192
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0336 0.759 0.992 0.000 0.000 0.008
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0336 0.759 0.992 0.000 0.000 0.008
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.7088 0.562 0.012 0.552 0.104 0.332
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 1 0.8212 0.144 0.464 0.040 0.152 0.344
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.7641 0.189 0.488 0.016 0.140 0.356
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0336 0.825 0.000 0.992 0.000 0.008
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.3142 0.674 0.860 0.000 0.008 0.132
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.6607 0.625 0.012 0.612 0.080 0.296
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.2944 0.685 0.868 0.000 0.004 0.128
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.7815 0.365 0.012 0.424 0.168 0.396
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.2345 0.685 0.900 0.000 0.000 0.100
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.1389 0.743 0.952 0.000 0.000 0.048
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.1557 0.745 0.944 0.000 0.000 0.056
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.3266 0.573 0.832 0.000 0.000 0.168
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.2401 0.722 0.904 0.000 0.004 0.092
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.1396 0.825 0.004 0.960 0.004 0.032
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.5105 0.963 0.432 0.004 0.000 0.564
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0895 0.827 0.000 0.976 0.004 0.020
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0469 0.758 0.988 0.000 0.000 0.012
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.2125 0.823 0.004 0.932 0.012 0.052
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.2335 0.816 0.000 0.920 0.020 0.060
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.3224 0.755 0.016 0.864 0.000 0.120
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.1118 0.758 0.964 0.000 0.000 0.036
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.825 0.000 1.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.1557 0.755 0.944 0.000 0.000 0.056
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.4022 0.782 0.000 0.836 0.068 0.096
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.2256 0.941 0.000 0.056 0.924 0.020
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0817 0.762 0.976 0.000 0.000 0.024
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0188 0.826 0.000 0.996 0.004 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.1398 0.811 0.004 0.956 0.000 0.040
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0336 0.825 0.000 0.992 0.000 0.008
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.4458 0.829 0.000 0.076 0.808 0.116
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.1637 0.743 0.940 0.000 0.000 0.060
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.5105 0.963 0.432 0.004 0.000 0.564
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.3653 0.737 0.028 0.844 0.000 0.128
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.6917 0.322 0.144 0.568 0.000 0.288
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.7289 0.519 0.012 0.520 0.116 0.352
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0336 0.760 0.992 0.000 0.000 0.008
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.3873 0.415 0.772 0.000 0.000 0.228
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.5284 0.740 0.008 0.756 0.068 0.168
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.3300 0.663 0.848 0.000 0.008 0.144
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.5596 0.702 0.012 0.708 0.044 0.236
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.6863 0.247 0.536 0.000 0.116 0.348
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0817 0.762 0.976 0.000 0.000 0.024
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.1356 0.824 0.000 0.960 0.008 0.032
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0592 0.760 0.984 0.000 0.000 0.016
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.3056 0.806 0.000 0.888 0.040 0.072
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.5168 -0.798 0.500 0.004 0.000 0.496
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.2256 0.941 0.000 0.056 0.924 0.020
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.3325 0.802 0.012 0.872 0.012 0.104
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0188 0.824 0.000 0.996 0.000 0.004
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.5050 0.968 0.408 0.004 0.000 0.588
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0188 0.759 0.996 0.000 0.000 0.004
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.7676 0.186 0.484 0.016 0.144 0.356
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.1406 0.825 0.000 0.960 0.016 0.024
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.2589 0.670 0.884 0.000 0.000 0.116
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.1211 0.753 0.960 0.000 0.000 0.040
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.2530 0.793 0.008 0.912 0.008 0.072
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.2528 0.788 0.008 0.908 0.004 0.080
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0188 0.759 0.996 0.000 0.000 0.004
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.7817 0.358 0.012 0.420 0.168 0.400
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0817 0.762 0.976 0.000 0.000 0.024
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0290 0.8478 0.000 0.992 0.000 0.000 0.008
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#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0510 0.8482 0.000 0.984 0.000 0.000 0.016
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.2082 0.8276 0.928 0.000 0.016 0.032 0.024
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.3913 0.4565 0.000 0.676 0.000 0.000 0.324
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.8466 0.000 1.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.1725 0.8836 0.000 0.020 0.936 0.000 0.044
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.8466 0.000 1.000 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.1200 0.8314 0.964 0.000 0.008 0.016 0.012
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.1121 0.8441 0.000 0.956 0.000 0.000 0.044
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.1648 0.8370 0.000 0.940 0.000 0.040 0.020
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0510 0.8484 0.000 0.984 0.000 0.000 0.016
#> 765AFFC1-D528-4494-8BA1-0706451E4205 5 0.5886 -0.6006 0.000 0.008 0.424 0.076 0.492
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.1410 0.8195 0.940 0.000 0.000 0.000 0.060
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.3297 0.9255 0.132 0.000 0.020 0.840 0.008
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.3001 0.7388 0.004 0.844 0.000 0.144 0.008
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.5535 0.2906 0.056 0.564 0.000 0.372 0.008
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 5 0.4265 0.7301 0.008 0.268 0.012 0.000 0.712
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0566 0.8309 0.984 0.000 0.000 0.004 0.012
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.3949 0.4903 0.668 0.000 0.000 0.332 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.4397 0.0103 0.004 0.564 0.000 0.000 0.432
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.2719 0.7651 0.852 0.000 0.000 0.004 0.144
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.8466 0.000 1.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 5 0.4306 0.3188 0.000 0.492 0.000 0.000 0.508
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.5540 0.4112 0.540 0.000 0.052 0.008 0.400
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.1153 0.8328 0.964 0.000 0.004 0.008 0.024
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.2020 0.8122 0.000 0.900 0.000 0.000 0.100
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0404 0.8298 0.988 0.000 0.000 0.000 0.012
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.3561 0.6061 0.000 0.740 0.000 0.000 0.260
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.3366 0.8238 0.232 0.000 0.000 0.768 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.1725 0.8836 0.000 0.020 0.936 0.000 0.044
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.4492 0.6441 0.004 0.740 0.000 0.052 0.204
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.8466 0.000 1.000 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.2280 0.9294 0.120 0.000 0.000 0.880 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.8294 1.000 0.000 0.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.5845 0.3374 0.488 0.000 0.072 0.008 0.432
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.2011 0.8240 0.000 0.908 0.004 0.000 0.088
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.3048 0.7317 0.820 0.000 0.000 0.176 0.004
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.1787 0.8248 0.940 0.000 0.016 0.032 0.012
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.2782 0.8011 0.000 0.880 0.000 0.072 0.048
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.2830 0.7954 0.000 0.876 0.000 0.080 0.044
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.8294 1.000 0.000 0.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 5 0.3132 0.7072 0.000 0.172 0.008 0.000 0.820
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0693 0.8312 0.980 0.000 0.000 0.008 0.012
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0260 0.8552 0.000 0.992 0.000 0.000 0.000 0.008
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.3695 0.7752 0.808 0.000 0.008 0.124 0.052 0.008
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.4220 0.0377 0.004 0.520 0.008 0.000 0.000 0.468
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.2560 0.8228 0.872 0.000 0.000 0.092 0.000 0.036
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 6 0.3081 0.6927 0.004 0.220 0.000 0.000 0.000 0.776
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.1396 0.8428 0.952 0.000 0.008 0.004 0.012 0.024
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.2260 0.8085 0.000 0.860 0.000 0.000 0.000 0.140
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0405 0.9099 0.000 0.004 0.988 0.000 0.000 0.008
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.3496 0.7717 0.000 0.820 0.000 0.120 0.024 0.036
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.5902 0.3073 0.472 0.000 0.064 0.000 0.056 0.408
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0146 0.8405 0.996 0.000 0.000 0.004 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.2191 0.7420 0.120 0.000 0.000 0.876 0.000 0.004
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 6 0.3862 0.1216 0.000 0.476 0.000 0.000 0.000 0.524
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0405 0.9099 0.000 0.004 0.988 0.000 0.000 0.008
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0692 0.8936 0.000 0.004 0.976 0.000 0.000 0.020
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.2560 0.8228 0.872 0.000 0.000 0.092 0.000 0.036
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.2631 0.7751 0.000 0.820 0.000 0.000 0.000 0.180
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.2794 0.7794 0.840 0.000 0.004 0.000 0.012 0.144
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.3136 0.7083 0.004 0.768 0.000 0.000 0.000 0.228
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.3862 0.3722 0.004 0.608 0.000 0.000 0.000 0.388
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.8402 0.000 0.000 0.000 1.000 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.3076 0.7056 0.000 0.760 0.000 0.000 0.000 0.240
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.3741 0.5809 0.672 0.000 0.000 0.320 0.000 0.008
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.3489 0.6319 0.708 0.000 0.000 0.288 0.000 0.004
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2588 0.7933 0.860 0.000 0.004 0.000 0.012 0.124
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.3398 0.7230 0.768 0.000 0.004 0.000 0.012 0.216
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.2324 0.8308 0.908 0.000 0.008 0.020 0.048 0.016
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.5793 0.3297 0.468 0.000 0.016 0.000 0.116 0.400
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 6 0.5927 -0.2660 0.440 0.004 0.072 0.000 0.040 0.444
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.3076 0.7056 0.000 0.760 0.000 0.000 0.000 0.240
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1138 0.8432 0.960 0.000 0.004 0.024 0.012 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.2092 0.7073 0.000 0.124 0.000 0.000 0.000 0.876
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.3081 0.7179 0.776 0.000 0.000 0.220 0.000 0.004
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.3426 0.6485 0.720 0.000 0.000 0.276 0.000 0.004
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0260 0.8407 0.992 0.000 0.000 0.000 0.000 0.008
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0146 0.8545 0.000 0.996 0.000 0.000 0.000 0.004
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.3711 0.7630 0.796 0.000 0.008 0.152 0.036 0.008
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.3664 0.7766 0.816 0.000 0.008 0.112 0.052 0.012
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.2014 0.8319 0.920 0.000 0.008 0.012 0.052 0.008
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 5 0.2358 0.7904 0.000 0.000 0.108 0.000 0.876 0.016
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.1863 0.8370 0.000 0.896 0.000 0.000 0.000 0.104
#> 51061018-95AB-4278-886F-F69E4EBC47C0 5 0.3738 0.6362 0.000 0.000 0.016 0.000 0.704 0.280
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.2014 0.8319 0.920 0.000 0.008 0.012 0.052 0.008
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.2014 0.8319 0.920 0.000 0.008 0.012 0.052 0.008
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.3329 0.7145 0.000 0.756 0.004 0.000 0.004 0.236
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0547 0.8558 0.000 0.980 0.000 0.000 0.000 0.020
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 6 0.3023 0.6965 0.004 0.212 0.000 0.000 0.000 0.784
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.2130 0.8394 0.920 0.000 0.008 0.016 0.028 0.028
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0405 0.8411 0.988 0.000 0.000 0.008 0.004 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.3405 0.6543 0.724 0.000 0.000 0.272 0.000 0.004
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.1067 0.8406 0.964 0.000 0.004 0.004 0.004 0.024
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.2655 0.7832 0.848 0.000 0.004 0.000 0.008 0.140
#> E19D5463-FDD0-41C1-A170-323736A88D07 6 0.2092 0.7073 0.000 0.124 0.000 0.000 0.000 0.876
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.1204 0.8108 0.056 0.000 0.000 0.944 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.1398 0.8288 0.000 0.000 0.008 0.940 0.052 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 6 0.2092 0.7073 0.000 0.124 0.000 0.000 0.000 0.876
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.4165 0.0711 0.000 0.000 0.536 0.000 0.452 0.012
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.2278 0.7989 0.868 0.000 0.000 0.128 0.000 0.004
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 5 0.2218 0.7930 0.000 0.000 0.104 0.000 0.884 0.012
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 6 0.3290 0.6863 0.004 0.252 0.000 0.000 0.000 0.744
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0603 0.8426 0.980 0.000 0.000 0.016 0.004 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0865 0.8551 0.000 0.964 0.000 0.000 0.000 0.036
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.1908 0.8171 0.900 0.000 0.000 0.096 0.000 0.004
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.2007 0.8360 0.924 0.000 0.008 0.012 0.040 0.016
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.2730 0.7589 0.000 0.808 0.000 0.000 0.000 0.192
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 6 0.3887 0.6755 0.008 0.248 0.020 0.000 0.000 0.724
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 6 0.3563 0.5361 0.000 0.336 0.000 0.000 0.000 0.664
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.3584 0.5879 0.004 0.688 0.000 0.000 0.000 0.308
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.8402 0.000 0.000 0.000 1.000 0.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0146 0.8411 0.996 0.000 0.000 0.004 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.2053 0.8350 0.000 0.888 0.000 0.000 0.004 0.108
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.4099 0.6912 0.708 0.000 0.000 0.244 0.000 0.048
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0260 0.8407 0.992 0.000 0.000 0.000 0.000 0.008
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 6 0.1418 0.6155 0.000 0.024 0.000 0.000 0.032 0.944
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.8402 0.000 0.000 0.000 1.000 0.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.2451 0.8369 0.904 0.000 0.008 0.024 0.036 0.028
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.1444 0.8458 0.000 0.928 0.000 0.000 0.000 0.072
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 6 0.2700 0.7121 0.000 0.156 0.004 0.000 0.004 0.836
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.5795 0.3546 0.492 0.000 0.052 0.000 0.060 0.396
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.4720 0.3040 0.544 0.000 0.008 0.420 0.024 0.004
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.3489 0.6319 0.708 0.000 0.000 0.288 0.000 0.004
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.3629 0.7531 0.000 0.804 0.000 0.140 0.024 0.032
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.3398 0.7230 0.768 0.000 0.004 0.000 0.012 0.216
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.1667 0.8424 0.940 0.000 0.008 0.008 0.012 0.032
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.2504 0.7879 0.856 0.000 0.004 0.000 0.004 0.136
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 5 0.2218 0.7930 0.000 0.000 0.104 0.000 0.884 0.012
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.5574 0.3979 0.520 0.000 0.044 0.000 0.052 0.384
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 6 0.1408 0.6094 0.000 0.020 0.000 0.000 0.036 0.944
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.3270 0.7887 0.000 0.840 0.000 0.100 0.024 0.036
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.1010 0.8537 0.004 0.960 0.000 0.000 0.000 0.036
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 6 0.2260 0.7096 0.000 0.140 0.000 0.000 0.000 0.860
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.2282 0.7986 0.000 0.888 0.000 0.088 0.024 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0405 0.8425 0.988 0.000 0.000 0.008 0.000 0.004
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0653 0.8422 0.980 0.000 0.000 0.012 0.004 0.004
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.2993 0.8208 0.868 0.000 0.008 0.064 0.048 0.012
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.2957 0.8114 0.868 0.000 0.008 0.064 0.052 0.008
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.3489 0.6319 0.708 0.000 0.000 0.288 0.000 0.004
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 6 0.3887 0.6755 0.008 0.248 0.020 0.000 0.000 0.724
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 6 0.3887 0.6755 0.008 0.248 0.020 0.000 0.000 0.724
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.1204 0.8523 0.000 0.944 0.000 0.000 0.000 0.056
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.2544 0.7950 0.864 0.000 0.004 0.000 0.012 0.120
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0405 0.8408 0.988 0.000 0.000 0.000 0.004 0.008
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 6 0.1408 0.6094 0.000 0.020 0.000 0.000 0.036 0.944
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0260 0.8407 0.992 0.000 0.000 0.000 0.000 0.008
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.1556 0.8464 0.000 0.920 0.000 0.000 0.000 0.080
#> 2C1F9079-602E-4252-82C7-9D8799E04246 6 0.3986 0.1472 0.004 0.464 0.000 0.000 0.000 0.532
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 5 0.2218 0.7930 0.000 0.000 0.104 0.000 0.884 0.012
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.1204 0.8523 0.000 0.944 0.000 0.000 0.000 0.056
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0260 0.8552 0.000 0.992 0.000 0.000 0.000 0.008
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 6 0.1408 0.6094 0.000 0.020 0.000 0.000 0.036 0.944
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.4919 0.0193 0.440 0.000 0.008 0.508 0.044 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.8402 0.000 0.000 0.000 1.000 0.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0146 0.8545 0.000 0.996 0.000 0.000 0.000 0.004
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0405 0.8408 0.988 0.000 0.000 0.000 0.004 0.008
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.5008 0.6522 0.704 0.000 0.000 0.048 0.164 0.084
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0260 0.8409 0.992 0.000 0.000 0.008 0.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.2130 0.8394 0.920 0.000 0.008 0.016 0.028 0.028
#> D005833F-E991-4E9E-9667-55F137288004 1 0.4397 0.6980 0.736 0.000 0.008 0.192 0.052 0.012
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.1398 0.8288 0.000 0.000 0.008 0.940 0.052 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0405 0.8408 0.988 0.000 0.000 0.000 0.004 0.008
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 6 0.1092 0.6198 0.000 0.020 0.000 0.000 0.020 0.960
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0405 0.9099 0.000 0.004 0.988 0.000 0.000 0.008
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.3154 0.7456 0.800 0.000 0.004 0.000 0.012 0.184
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0405 0.8414 0.988 0.000 0.000 0.008 0.000 0.004
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0405 0.8414 0.988 0.000 0.000 0.008 0.000 0.004
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 6 0.2700 0.7121 0.000 0.156 0.004 0.000 0.004 0.836
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 6 0.5927 -0.2660 0.440 0.004 0.072 0.000 0.040 0.444
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.5902 0.3073 0.472 0.000 0.064 0.000 0.056 0.408
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0260 0.8552 0.000 0.992 0.000 0.000 0.000 0.008
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.2646 0.7896 0.852 0.000 0.004 0.004 0.004 0.136
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 6 0.2912 0.6922 0.000 0.216 0.000 0.000 0.000 0.784
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.2588 0.7933 0.860 0.000 0.004 0.000 0.012 0.124
#> 41183565-434D-474C-B1BD-CA6E94910658 6 0.1092 0.6198 0.000 0.020 0.000 0.000 0.020 0.960
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.3664 0.7766 0.816 0.000 0.008 0.112 0.052 0.012
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.2278 0.8285 0.908 0.000 0.008 0.024 0.052 0.008
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.1471 0.8351 0.932 0.000 0.000 0.004 0.000 0.064
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.3489 0.6319 0.708 0.000 0.000 0.288 0.000 0.004
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.2203 0.8194 0.896 0.000 0.004 0.000 0.016 0.084
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.2703 0.7797 0.004 0.824 0.000 0.000 0.000 0.172
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.1398 0.8288 0.000 0.000 0.008 0.940 0.052 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.1556 0.8466 0.000 0.920 0.000 0.000 0.000 0.080
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.1053 0.8431 0.964 0.000 0.004 0.020 0.012 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.3744 0.7129 0.004 0.752 0.008 0.008 0.004 0.224
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.3351 0.6293 0.000 0.712 0.000 0.000 0.000 0.288
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.3496 0.7717 0.000 0.820 0.000 0.120 0.024 0.036
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.2127 0.8382 0.920 0.000 0.008 0.016 0.032 0.024
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0865 0.8551 0.000 0.964 0.000 0.000 0.000 0.036
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.2247 0.8374 0.912 0.000 0.008 0.012 0.044 0.024
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.3747 0.3859 0.000 0.604 0.000 0.000 0.000 0.396
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0405 0.9099 0.000 0.004 0.988 0.000 0.000 0.008
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.1680 0.8422 0.940 0.000 0.004 0.012 0.020 0.024
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.1444 0.8469 0.000 0.928 0.000 0.000 0.000 0.072
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.2422 0.8417 0.000 0.896 0.000 0.040 0.012 0.052
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0458 0.8558 0.000 0.984 0.000 0.000 0.000 0.016
#> 765AFFC1-D528-4494-8BA1-0706451E4205 5 0.3547 0.6133 0.000 0.000 0.004 0.000 0.696 0.300
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.1411 0.8321 0.936 0.000 0.000 0.000 0.004 0.060
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.1398 0.8288 0.000 0.000 0.008 0.940 0.052 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.3629 0.7531 0.000 0.804 0.000 0.140 0.024 0.032
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.4721 0.3529 0.000 0.540 0.000 0.420 0.008 0.032
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 6 0.2932 0.6951 0.008 0.116 0.020 0.000 0.004 0.852
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0798 0.8429 0.976 0.000 0.004 0.004 0.012 0.004
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.3819 0.4891 0.624 0.000 0.000 0.372 0.000 0.004
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 6 0.3993 0.0983 0.004 0.476 0.000 0.000 0.000 0.520
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.2655 0.7832 0.848 0.000 0.004 0.000 0.008 0.140
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 6 0.3578 0.5294 0.000 0.340 0.000 0.000 0.000 0.660
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.5574 0.3979 0.520 0.000 0.044 0.000 0.052 0.384
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.1323 0.8448 0.956 0.000 0.008 0.008 0.008 0.020
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.2048 0.8201 0.000 0.880 0.000 0.000 0.000 0.120
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0405 0.8408 0.988 0.000 0.000 0.000 0.004 0.008
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.3515 0.5594 0.000 0.676 0.000 0.000 0.000 0.324
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.2191 0.7420 0.120 0.000 0.000 0.876 0.000 0.004
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0405 0.9099 0.000 0.004 0.988 0.000 0.000 0.008
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.4753 0.5843 0.004 0.664 0.000 0.044 0.016 0.272
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.8542 0.000 1.000 0.000 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.8402 0.000 0.000 0.000 1.000 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0146 0.8405 0.996 0.000 0.000 0.004 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.5905 0.3014 0.468 0.000 0.064 0.000 0.056 0.412
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.2070 0.8333 0.000 0.896 0.012 0.000 0.000 0.092
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.3012 0.7418 0.796 0.000 0.000 0.196 0.000 0.008
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2007 0.8353 0.924 0.000 0.008 0.016 0.040 0.012
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.3463 0.7966 0.000 0.832 0.000 0.064 0.024 0.080
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.3522 0.7921 0.000 0.828 0.000 0.072 0.024 0.076
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0146 0.8405 0.996 0.000 0.000 0.004 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.1176 0.6171 0.000 0.020 0.000 0.000 0.024 0.956
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0912 0.8430 0.972 0.000 0.004 0.004 0.012 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", "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 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.997 0.997 0.5013 0.498 0.498
#> 3 3 0.680 0.663 0.831 0.2294 0.956 0.912
#> 4 4 0.633 0.682 0.820 0.1236 0.819 0.615
#> 5 5 0.690 0.725 0.800 0.0915 0.925 0.767
#> 6 6 0.727 0.702 0.788 0.0588 0.913 0.677
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.998 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0376 0.999 0.996 0.004
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.998 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0376 0.999 0.996 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.998 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0376 0.999 0.996 0.004
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.998 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0376 0.994 0.004 0.996
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 0.998 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0376 0.999 0.996 0.004
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0376 0.999 0.996 0.004
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0376 0.999 0.996 0.004
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.998 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0376 0.994 0.004 0.996
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.0376 0.994 0.004 0.996
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0376 0.999 0.996 0.004
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.998 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0376 0.999 0.996 0.004
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.998 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.998 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0000 0.996 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.0376 0.994 0.004 0.996
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0376 0.999 0.996 0.004
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0376 0.999 0.996 0.004
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0376 0.999 0.996 0.004
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.998 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.0376 0.999 0.996 0.004
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0376 0.999 0.996 0.004
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0376 0.999 0.996 0.004
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0376 0.999 0.996 0.004
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.998 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0376 0.999 0.996 0.004
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.998 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0376 0.999 0.996 0.004
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0376 0.999 0.996 0.004
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0376 0.999 0.996 0.004
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.998 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.998 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0376 0.999 0.996 0.004
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0376 0.999 0.996 0.004
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0376 0.999 0.996 0.004
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.998 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.0376 0.994 0.004 0.996
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.998 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.0000 0.998 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0376 0.999 0.996 0.004
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0376 0.999 0.996 0.004
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.998 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.998 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.998 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0376 0.999 0.996 0.004
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0376 0.999 0.996 0.004
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0376 0.999 0.996 0.004
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0376 0.999 0.996 0.004
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0376 0.999 0.996 0.004
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.998 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.996 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0000 0.996 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 0.998 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.0376 0.994 0.004 0.996
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0376 0.999 0.996 0.004
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.0000 0.996 1.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.998 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0376 0.999 0.996 0.004
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.998 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0376 0.999 0.996 0.004
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0376 0.999 0.996 0.004
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.998 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.998 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.998 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.998 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0000 0.996 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0376 0.999 0.996 0.004
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.998 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0376 0.999 0.996 0.004
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0376 0.999 0.996 0.004
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.998 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.998 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.0000 0.996 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.998 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0376 0.999 0.996 0.004
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.998 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.998 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0000 0.998 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0376 0.999 0.996 0.004
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0376 0.999 0.996 0.004
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0376 0.999 0.996 0.004
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.0000 0.996 1.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0376 0.999 0.996 0.004
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0376 0.999 0.996 0.004
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0376 0.999 0.996 0.004
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.0000 0.996 1.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0376 0.999 0.996 0.004
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 0.998 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.6801 0.779 0.180 0.820
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.998 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.998 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 0.998 0.000 1.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0376 0.999 0.996 0.004
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0376 0.999 0.996 0.004
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0376 0.999 0.996 0.004
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0376 0.999 0.996 0.004
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0376 0.999 0.996 0.004
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.998 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.998 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.998 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.998 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0376 0.999 0.996 0.004
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0376 0.999 0.996 0.004
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.998 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0376 0.999 0.996 0.004
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.998 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.998 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.0000 0.996 1.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.998 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.998 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.998 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0376 0.999 0.996 0.004
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0000 0.996 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.998 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0376 0.999 0.996 0.004
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.0000 0.996 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0376 0.999 0.996 0.004
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0376 0.999 0.996 0.004
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0376 0.999 0.996 0.004
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0000 0.996 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0376 0.999 0.996 0.004
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 0.998 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.0376 0.994 0.004 0.996
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.998 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0376 0.999 0.996 0.004
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0376 0.999 0.996 0.004
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0376 0.999 0.996 0.004
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.998 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.998 0.000 1.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0376 0.999 0.996 0.004
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.998 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0376 0.999 0.996 0.004
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.998 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0376 0.999 0.996 0.004
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 0.998 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0376 0.999 0.996 0.004
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0376 0.999 0.996 0.004
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0376 0.999 0.996 0.004
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0376 0.999 0.996 0.004
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0376 0.999 0.996 0.004
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.998 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.998 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.996 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.998 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0376 0.999 0.996 0.004
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.998 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.998 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.0000 0.998 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0376 0.999 0.996 0.004
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.998 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.998 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0376 0.999 0.996 0.004
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.998 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.998 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.0376 0.994 0.004 0.996
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.998 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0376 0.999 0.996 0.004
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.998 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.998 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.998 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.0000 0.998 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0376 0.999 0.996 0.004
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 0.996 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.0000 0.998 0.000 1.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.0376 0.999 0.996 0.004
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.998 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0376 0.999 0.996 0.004
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0376 0.999 0.996 0.004
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.998 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0376 0.999 0.996 0.004
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.998 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.998 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0376 0.999 0.996 0.004
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0376 0.999 0.996 0.004
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.998 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0376 0.999 0.996 0.004
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.998 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0376 0.999 0.996 0.004
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.0376 0.994 0.004 0.996
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.998 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.998 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 0.996 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0376 0.999 0.996 0.004
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.0938 0.992 0.988 0.012
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.998 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0376 0.999 0.996 0.004
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0376 0.999 0.996 0.004
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.998 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.998 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0376 0.999 0.996 0.004
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.998 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0376 0.999 0.996 0.004
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.7958 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.6079 0.6794 0.612 0.000 0.388
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.2711 0.7442 0.000 0.912 0.088
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0592 0.8358 0.988 0.000 0.012
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.2711 0.7442 0.000 0.912 0.088
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0747 0.8356 0.984 0.000 0.016
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.7958 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.6026 0.2082 0.000 0.624 0.376
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.1031 0.7781 0.000 0.976 0.024
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#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.6309 -0.2141 0.000 0.504 0.496
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0237 0.7940 0.000 0.996 0.004
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.7958 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.6154 0.6601 0.592 0.000 0.408
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.1031 0.8310 0.976 0.000 0.024
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.5882 0.3561 0.652 0.000 0.348
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.7958 0.000 1.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.5254 0.7471 0.736 0.000 0.264
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0892 0.8321 0.980 0.000 0.020
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0237 0.7940 0.000 0.996 0.004
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.1411 0.7826 0.000 0.964 0.036
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.1031 0.8310 0.976 0.000 0.024
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.6819 0.2869 0.012 0.476 0.512
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0747 0.8356 0.984 0.000 0.016
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0188 0.82429 0.000 0.996 0.000 0.004
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.5321 0.82598 0.296 0.000 0.032 0.672
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.4905 0.34591 0.000 0.632 0.364 0.004
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0657 0.84325 0.984 0.000 0.012 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.4761 0.41894 0.000 0.664 0.332 0.004
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.1209 0.84065 0.964 0.000 0.032 0.004
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.82430 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.7789 0.37769 0.000 0.352 0.400 0.248
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.3919 0.69754 0.000 0.840 0.056 0.104
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.3873 0.78645 0.844 0.000 0.096 0.060
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0657 0.84325 0.984 0.000 0.012 0.004
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.4103 0.89343 0.256 0.000 0.000 0.744
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.4781 0.41108 0.000 0.660 0.336 0.004
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.7740 0.36728 0.000 0.364 0.404 0.232
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.6397 0.59797 0.000 0.144 0.648 0.208
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0657 0.84325 0.984 0.000 0.012 0.004
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0895 0.81413 0.000 0.976 0.020 0.004
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.2565 0.82795 0.912 0.000 0.056 0.032
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0188 0.82339 0.000 0.996 0.000 0.004
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.4741 0.42890 0.000 0.668 0.328 0.004
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.4072 0.89391 0.252 0.000 0.000 0.748
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.4509 0.47327 0.000 0.708 0.288 0.004
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.5138 0.03381 0.600 0.000 0.008 0.392
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.5183 -0.04566 0.584 0.000 0.008 0.408
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2623 0.83732 0.908 0.000 0.064 0.028
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0336 0.82326 0.000 0.992 0.000 0.008
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.4630 0.70147 0.768 0.000 0.196 0.036
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3706 0.77043 0.848 0.000 0.040 0.112
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4336 0.75526 0.812 0.000 0.128 0.060
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.4336 0.77814 0.812 0.000 0.128 0.060
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4122 0.58574 0.000 0.760 0.236 0.004
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1610 0.83834 0.952 0.000 0.032 0.016
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.4382 0.66979 0.000 0.296 0.704 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.5150 0.00958 0.596 0.000 0.008 0.396
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.5105 -0.14061 0.564 0.000 0.004 0.432
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0657 0.84325 0.984 0.000 0.012 0.004
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0188 0.82429 0.000 0.996 0.000 0.004
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0336 0.82326 0.000 0.992 0.000 0.008
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.5856 -0.24978 0.504 0.000 0.032 0.464
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.1888 0.83892 0.940 0.000 0.044 0.016
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.2376 0.83785 0.916 0.000 0.068 0.016
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0336 0.82326 0.000 0.992 0.000 0.008
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.4987 0.56171 0.016 0.036 0.772 0.176
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.82430 0.000 1.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.2773 0.65237 0.000 0.116 0.880 0.004
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.2300 0.83846 0.920 0.000 0.064 0.016
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.2376 0.83785 0.916 0.000 0.068 0.016
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.5097 0.12758 0.000 0.568 0.428 0.004
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0188 0.82429 0.000 0.996 0.000 0.004
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 3 0.4585 0.62111 0.000 0.332 0.668 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.2363 0.83992 0.920 0.000 0.056 0.024
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0524 0.84370 0.988 0.000 0.008 0.004
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.5024 0.75721 0.360 0.000 0.008 0.632
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.1209 0.84079 0.964 0.000 0.032 0.004
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.4595 0.71164 0.776 0.000 0.184 0.040
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.4382 0.66979 0.000 0.296 0.704 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.4103 0.89343 0.256 0.000 0.000 0.744
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.4252 0.89294 0.252 0.000 0.004 0.744
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.4331 0.67498 0.000 0.288 0.712 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.5886 0.56016 0.012 0.056 0.688 0.244
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0657 0.84325 0.984 0.000 0.012 0.004
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.5417 0.46300 0.088 0.000 0.732 0.180
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.5147 -0.00583 0.000 0.536 0.460 0.004
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.2032 0.82790 0.936 0.000 0.036 0.028
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.82430 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0657 0.84325 0.984 0.000 0.012 0.004
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.1798 0.83876 0.944 0.000 0.040 0.016
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.1576 0.79649 0.000 0.948 0.048 0.004
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.5165 -0.11548 0.000 0.512 0.484 0.004
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 3 0.5004 0.49600 0.000 0.392 0.604 0.004
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.4872 0.36409 0.000 0.640 0.356 0.004
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.3942 0.88566 0.236 0.000 0.000 0.764
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0524 0.84370 0.988 0.000 0.008 0.004
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.3494 0.69092 0.000 0.824 0.172 0.004
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.5132 -0.15190 0.548 0.000 0.004 0.448
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0657 0.84325 0.984 0.000 0.012 0.004
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.4304 0.67648 0.000 0.284 0.716 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0336 0.82326 0.000 0.992 0.000 0.008
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.4008 0.89084 0.244 0.000 0.000 0.756
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0336 0.82326 0.000 0.992 0.000 0.008
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.2773 0.83548 0.900 0.000 0.072 0.028
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0336 0.82326 0.000 0.992 0.000 0.008
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0188 0.82339 0.000 0.996 0.000 0.004
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.4382 0.66979 0.000 0.296 0.704 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.4114 0.77179 0.828 0.000 0.112 0.060
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.4250 0.87672 0.276 0.000 0.000 0.724
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.5337 -0.12113 0.564 0.000 0.012 0.424
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.4485 0.88995 0.248 0.000 0.012 0.740
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.4595 0.71164 0.776 0.000 0.184 0.040
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.1452 0.84041 0.956 0.000 0.036 0.008
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.3958 0.75196 0.824 0.000 0.144 0.032
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.6050 0.43169 0.100 0.000 0.668 0.232
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.2399 0.83059 0.920 0.000 0.048 0.032
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.4483 0.67703 0.000 0.284 0.712 0.004
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.6838 0.45270 0.032 0.184 0.120 0.664
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0188 0.82339 0.000 0.996 0.000 0.004
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 3 0.5132 0.32549 0.000 0.448 0.548 0.004
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.3978 0.56869 0.000 0.796 0.012 0.192
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0779 0.84322 0.980 0.000 0.016 0.004
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0804 0.84310 0.980 0.000 0.012 0.008
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.1975 0.83934 0.936 0.000 0.048 0.016
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.5143 0.46765 0.708 0.000 0.036 0.256
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.5459 -0.14938 0.552 0.000 0.016 0.432
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 3 0.4790 0.52704 0.000 0.380 0.620 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0336 0.82326 0.000 0.992 0.000 0.008
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.5070 0.17822 0.000 0.580 0.416 0.004
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0188 0.82429 0.000 0.996 0.000 0.004
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.2483 0.82920 0.916 0.000 0.052 0.032
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0336 0.84436 0.992 0.000 0.008 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.4382 0.66979 0.000 0.296 0.704 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0657 0.84325 0.984 0.000 0.012 0.004
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.82430 0.000 1.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.4991 0.27247 0.000 0.608 0.388 0.004
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.7179 0.25378 0.276 0.000 0.544 0.180
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0336 0.82326 0.000 0.992 0.000 0.008
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0188 0.82429 0.000 0.996 0.000 0.004
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.4483 0.67703 0.000 0.284 0.712 0.004
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.4313 0.89006 0.260 0.000 0.004 0.736
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.4072 0.89350 0.252 0.000 0.000 0.748
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0188 0.82429 0.000 0.996 0.000 0.004
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0336 0.84436 0.992 0.000 0.008 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.4203 0.77142 0.824 0.000 0.108 0.068
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0804 0.84310 0.980 0.000 0.012 0.008
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.2670 0.83686 0.904 0.000 0.072 0.024
#> D005833F-E991-4E9E-9667-55F137288004 4 0.5195 0.85460 0.276 0.000 0.032 0.692
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.4283 0.89218 0.256 0.000 0.004 0.740
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.1022 0.84052 0.968 0.000 0.032 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.4483 0.67703 0.000 0.284 0.712 0.004
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.7789 0.37769 0.000 0.352 0.400 0.248
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0188 0.82339 0.000 0.996 0.000 0.004
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.3051 0.81182 0.884 0.000 0.088 0.028
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0804 0.84310 0.980 0.000 0.012 0.008
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0524 0.84342 0.988 0.000 0.008 0.004
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 3 0.4454 0.65576 0.000 0.308 0.692 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.3052 0.72534 0.000 0.860 0.136 0.004
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.3176 0.81070 0.880 0.000 0.084 0.036
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0188 0.82429 0.000 0.996 0.000 0.004
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.2300 0.83271 0.924 0.000 0.048 0.028
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.4632 0.65264 0.000 0.308 0.688 0.004
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.2644 0.83061 0.908 0.000 0.060 0.032
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.4198 0.67111 0.004 0.224 0.768 0.004
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.5453 0.31192 0.648 0.000 0.032 0.320
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.2002 0.83792 0.936 0.000 0.044 0.020
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.1913 0.83868 0.940 0.000 0.040 0.020
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.4482 0.45871 0.728 0.000 0.008 0.264
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.2965 0.83289 0.892 0.000 0.072 0.036
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.1743 0.79269 0.000 0.940 0.056 0.004
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0188 0.82429 0.000 0.996 0.000 0.004
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.4826 0.87646 0.264 0.000 0.020 0.716
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.82430 0.000 1.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.1305 0.83837 0.960 0.000 0.036 0.004
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0672 0.81929 0.000 0.984 0.008 0.008
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.5088 0.13373 0.000 0.572 0.424 0.004
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.6895 0.17480 0.000 0.276 0.148 0.576
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.2773 0.83548 0.900 0.000 0.072 0.028
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0336 0.82326 0.000 0.992 0.000 0.008
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.82430 0.000 1.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.2596 0.83709 0.908 0.000 0.068 0.024
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.5105 0.11451 0.000 0.564 0.432 0.004
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0188 0.82429 0.000 0.996 0.000 0.004
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.7789 0.37769 0.000 0.352 0.400 0.248
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0336 0.82326 0.000 0.992 0.000 0.008
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.2174 0.83841 0.928 0.000 0.052 0.020
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0336 0.82041 0.000 0.992 0.008 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0657 0.81639 0.000 0.984 0.012 0.004
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0188 0.82429 0.000 0.996 0.000 0.004
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.3751 0.67485 0.000 0.196 0.800 0.004
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2131 0.83748 0.932 0.000 0.036 0.032
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.4072 0.89349 0.252 0.000 0.000 0.748
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.4606 0.48361 0.000 0.264 0.012 0.724
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.4567 0.88752 0.244 0.000 0.016 0.740
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.4431 0.66051 0.000 0.304 0.696 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.1118 0.83927 0.964 0.000 0.036 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.4250 0.87672 0.276 0.000 0.000 0.724
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.2831 0.74033 0.000 0.876 0.120 0.004
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.4508 0.71591 0.780 0.000 0.184 0.036
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0188 0.82429 0.000 0.996 0.000 0.004
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4936 0.31882 0.000 0.624 0.372 0.004
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.3082 0.81320 0.884 0.000 0.084 0.032
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.1807 0.84186 0.940 0.000 0.052 0.008
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0336 0.82326 0.000 0.992 0.000 0.008
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0657 0.84325 0.984 0.000 0.012 0.004
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.4560 0.49485 0.000 0.700 0.296 0.004
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.4103 0.89343 0.256 0.000 0.000 0.744
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.7277 0.53336 0.000 0.228 0.540 0.232
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.2593 0.76307 0.000 0.892 0.104 0.004
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0336 0.82326 0.000 0.992 0.000 0.008
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.3942 0.88566 0.236 0.000 0.000 0.764
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0804 0.84310 0.980 0.000 0.012 0.008
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.6028 0.53275 0.644 0.000 0.280 0.076
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0336 0.82396 0.000 0.992 0.000 0.008
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.5161 -0.00300 0.592 0.000 0.008 0.400
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2699 0.83630 0.904 0.000 0.068 0.028
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.2918 0.75147 0.000 0.876 0.116 0.008
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.4872 0.37319 0.000 0.640 0.356 0.004
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0804 0.84310 0.980 0.000 0.012 0.008
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.4155 0.66648 0.000 0.240 0.756 0.004
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1022 0.84040 0.968 0.000 0.032 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.1211 0.9125 0.000 0.960 0.016 0.024 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.4461 0.6642 0.052 0.000 0.220 0.728 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 5 0.4789 0.7190 0.000 0.368 0.004 0.020 0.608
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0162 0.7271 0.996 0.000 0.004 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 5 0.4954 0.5521 0.000 0.448 0.004 0.020 0.528
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3967 0.7411 0.724 0.000 0.264 0.012 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0324 0.9118 0.000 0.992 0.004 0.000 0.004
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.7006 0.7095 0.000 0.224 0.500 0.028 0.248
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4456 0.7009 0.000 0.772 0.016 0.156 0.056
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.4454 0.7020 0.708 0.000 0.260 0.004 0.028
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0290 0.7269 0.992 0.000 0.008 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.1121 0.8627 0.044 0.000 0.000 0.956 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 5 0.4138 0.7194 0.000 0.384 0.000 0.000 0.616
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.6913 0.6964 0.000 0.236 0.496 0.020 0.248
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.5380 0.5943 0.000 0.044 0.488 0.004 0.464
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0290 0.7269 0.992 0.000 0.008 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0798 0.9040 0.000 0.976 0.000 0.008 0.016
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4376 0.7255 0.744 0.000 0.216 0.012 0.028
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0451 0.9111 0.000 0.988 0.000 0.008 0.004
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 5 0.4541 0.7133 0.000 0.380 0.004 0.008 0.608
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0963 0.8631 0.036 0.000 0.000 0.964 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.4632 0.1349 0.000 0.608 0.012 0.004 0.376
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.4101 0.2651 0.664 0.000 0.004 0.332 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4166 0.2149 0.648 0.000 0.004 0.348 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.4505 0.7223 0.604 0.000 0.384 0.012 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0771 0.9118 0.000 0.976 0.020 0.000 0.004
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.6117 0.6148 0.512 0.000 0.376 0.008 0.104
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.5851 0.6793 0.548 0.000 0.340 0.112 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.5343 0.6802 0.572 0.000 0.380 0.012 0.036
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.5677 0.6734 0.508 0.000 0.432 0.020 0.040
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4416 0.2005 0.000 0.632 0.012 0.000 0.356
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.2408 0.7314 0.892 0.000 0.092 0.016 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 5 0.2719 0.7790 0.000 0.144 0.004 0.000 0.852
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.4047 0.2813 0.676 0.000 0.004 0.320 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4161 0.0954 0.608 0.000 0.000 0.392 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0290 0.7269 0.992 0.000 0.008 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.1310 0.9121 0.000 0.956 0.020 0.024 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0771 0.9118 0.000 0.976 0.020 0.000 0.004
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.6625 0.0348 0.276 0.000 0.268 0.456 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.4950 0.7212 0.612 0.000 0.348 0.040 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.5026 0.7159 0.588 0.000 0.372 0.040 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.1372 0.9099 0.000 0.956 0.024 0.016 0.004
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.4430 0.6727 0.000 0.004 0.540 0.000 0.456
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.1012 0.9136 0.000 0.968 0.012 0.020 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 5 0.1626 0.5147 0.000 0.016 0.044 0.000 0.940
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.5026 0.7159 0.588 0.000 0.372 0.040 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.5026 0.7159 0.588 0.000 0.372 0.040 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 5 0.3983 0.7612 0.000 0.340 0.000 0.000 0.660
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0404 0.9141 0.000 0.988 0.012 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 5 0.3006 0.7848 0.000 0.156 0.004 0.004 0.836
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.5002 0.7181 0.596 0.000 0.364 0.040 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.1768 0.7447 0.924 0.000 0.072 0.004 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.4390 0.4408 0.428 0.000 0.004 0.568 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.3700 0.7486 0.752 0.000 0.240 0.008 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.6077 0.6196 0.516 0.000 0.376 0.008 0.100
#> E19D5463-FDD0-41C1-A170-323736A88D07 5 0.2719 0.7790 0.000 0.144 0.004 0.000 0.852
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.1043 0.8631 0.040 0.000 0.000 0.960 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.1251 0.8620 0.036 0.000 0.008 0.956 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 5 0.2629 0.7726 0.000 0.136 0.004 0.000 0.860
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.4524 0.6938 0.000 0.004 0.572 0.004 0.420
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0290 0.7269 0.992 0.000 0.008 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.4817 0.6841 0.024 0.000 0.572 0.000 0.404
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 5 0.4162 0.7727 0.000 0.312 0.004 0.004 0.680
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.1697 0.7225 0.932 0.000 0.060 0.008 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0162 0.9112 0.000 0.996 0.000 0.000 0.004
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0290 0.7269 0.992 0.000 0.008 0.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.4950 0.7212 0.612 0.000 0.348 0.040 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.1410 0.8624 0.000 0.940 0.000 0.000 0.060
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 5 0.4220 0.7751 0.000 0.300 0.004 0.008 0.688
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 5 0.3210 0.7887 0.000 0.212 0.000 0.000 0.788
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 5 0.4264 0.7263 0.000 0.376 0.004 0.000 0.620
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.1124 0.8592 0.036 0.000 0.004 0.960 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0609 0.7286 0.980 0.000 0.020 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.4538 0.1007 0.000 0.620 0.016 0.000 0.364
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.6101 -0.0903 0.432 0.000 0.124 0.444 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0162 0.7275 0.996 0.000 0.004 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 5 0.2707 0.7670 0.000 0.132 0.008 0.000 0.860
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.1372 0.9099 0.000 0.956 0.024 0.016 0.004
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0963 0.8620 0.036 0.000 0.000 0.964 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0771 0.9118 0.000 0.976 0.020 0.000 0.004
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.5048 0.7154 0.580 0.000 0.380 0.040 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0932 0.9115 0.000 0.972 0.020 0.004 0.004
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0162 0.9112 0.000 0.996 0.000 0.000 0.004
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 5 0.2719 0.7790 0.000 0.144 0.004 0.000 0.852
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.4503 0.6975 0.700 0.000 0.268 0.004 0.028
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.1270 0.8600 0.052 0.000 0.000 0.948 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.4264 0.1333 0.620 0.000 0.004 0.376 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.1806 0.8431 0.028 0.000 0.016 0.940 0.016
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.6134 0.6202 0.516 0.000 0.376 0.012 0.096
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.4794 0.7259 0.624 0.000 0.344 0.032 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.5464 0.6825 0.596 0.000 0.332 0.004 0.068
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.4682 0.7002 0.024 0.000 0.620 0.000 0.356
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.3109 0.7388 0.800 0.000 0.200 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 5 0.2818 0.7646 0.000 0.132 0.012 0.000 0.856
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.2342 0.7743 0.000 0.024 0.020 0.916 0.040
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0865 0.9119 0.000 0.972 0.004 0.024 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 5 0.3508 0.7878 0.000 0.252 0.000 0.000 0.748
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.4460 0.6625 0.000 0.748 0.032 0.204 0.016
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0703 0.7289 0.976 0.000 0.024 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0703 0.7248 0.976 0.000 0.024 0.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.5026 0.7172 0.588 0.000 0.372 0.040 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.6084 0.5208 0.572 0.000 0.220 0.208 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4482 0.1322 0.612 0.000 0.012 0.376 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 5 0.3474 0.7882 0.000 0.192 0.008 0.004 0.796
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0932 0.9115 0.000 0.972 0.020 0.004 0.004
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 5 0.4387 0.7589 0.000 0.336 0.004 0.008 0.652
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0898 0.9135 0.000 0.972 0.008 0.020 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.4474 0.7266 0.652 0.000 0.332 0.012 0.004
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0162 0.7285 0.996 0.000 0.000 0.004 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 5 0.2719 0.7790 0.000 0.144 0.004 0.000 0.852
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0162 0.7275 0.996 0.000 0.004 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0162 0.9137 0.000 0.996 0.004 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 5 0.4347 0.7504 0.000 0.356 0.004 0.004 0.636
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.6764 0.2535 0.292 0.000 0.400 0.000 0.308
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.1377 0.9121 0.000 0.956 0.020 0.020 0.004
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.1211 0.9125 0.000 0.960 0.016 0.024 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 5 0.2818 0.7646 0.000 0.132 0.012 0.000 0.856
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.1364 0.8606 0.036 0.000 0.012 0.952 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.1121 0.8627 0.044 0.000 0.000 0.956 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.1211 0.9125 0.000 0.960 0.016 0.024 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0451 0.7305 0.988 0.000 0.008 0.004 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.5632 0.6853 0.596 0.000 0.332 0.020 0.052
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0703 0.7248 0.976 0.000 0.024 0.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.5026 0.7159 0.588 0.000 0.372 0.040 0.000
#> D005833F-E991-4E9E-9667-55F137288004 4 0.3339 0.7799 0.048 0.000 0.112 0.840 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.1251 0.8620 0.036 0.000 0.008 0.956 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0771 0.7283 0.976 0.000 0.020 0.004 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 5 0.2818 0.7646 0.000 0.132 0.012 0.000 0.856
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.7006 0.7095 0.000 0.224 0.500 0.028 0.248
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0162 0.9112 0.000 0.996 0.000 0.000 0.004
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.5087 0.7020 0.616 0.000 0.344 0.012 0.028
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0703 0.7248 0.976 0.000 0.024 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.7274 1.000 0.000 0.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 5 0.2964 0.7837 0.000 0.152 0.004 0.004 0.840
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.4178 0.5933 0.000 0.748 0.004 0.028 0.220
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.4523 0.7061 0.712 0.000 0.252 0.008 0.028
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.1211 0.9125 0.000 0.960 0.016 0.024 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.4270 0.7320 0.668 0.000 0.320 0.012 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 5 0.2732 0.7849 0.000 0.160 0.000 0.000 0.840
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.4538 0.7238 0.636 0.000 0.348 0.012 0.004
#> 41183565-434D-474C-B1BD-CA6E94910658 5 0.2850 0.7011 0.000 0.092 0.036 0.000 0.872
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.6749 0.3775 0.408 0.000 0.288 0.304 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.4950 0.7212 0.612 0.000 0.348 0.040 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.3790 0.7450 0.724 0.000 0.272 0.004 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.3430 0.4857 0.776 0.000 0.004 0.220 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.4779 0.7174 0.588 0.000 0.388 0.024 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.1671 0.8450 0.000 0.924 0.000 0.000 0.076
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.1211 0.9125 0.000 0.960 0.016 0.024 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.3130 0.7932 0.048 0.000 0.096 0.856 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0566 0.9150 0.000 0.984 0.012 0.004 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.1571 0.7241 0.936 0.000 0.060 0.004 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.1153 0.9097 0.000 0.964 0.008 0.024 0.004
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 5 0.3949 0.7658 0.000 0.332 0.000 0.000 0.668
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.3839 0.6816 0.000 0.064 0.016 0.828 0.092
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.5026 0.7159 0.588 0.000 0.372 0.040 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.1372 0.9099 0.000 0.956 0.024 0.016 0.004
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0162 0.9112 0.000 0.996 0.000 0.000 0.004
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.5048 0.7154 0.580 0.000 0.380 0.040 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 5 0.3983 0.7597 0.000 0.340 0.000 0.000 0.660
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0807 0.9150 0.000 0.976 0.012 0.012 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.7006 0.7095 0.000 0.224 0.500 0.028 0.248
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0771 0.9118 0.000 0.976 0.020 0.000 0.004
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.4963 0.7205 0.608 0.000 0.352 0.040 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0162 0.9112 0.000 0.996 0.000 0.000 0.004
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.1913 0.8933 0.000 0.936 0.020 0.024 0.020
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.1117 0.9135 0.000 0.964 0.016 0.020 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 5 0.2006 0.6529 0.000 0.072 0.012 0.000 0.916
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.4025 0.7405 0.700 0.000 0.292 0.008 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0963 0.8631 0.036 0.000 0.000 0.964 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.2204 0.7739 0.000 0.048 0.016 0.920 0.016
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.1974 0.8504 0.036 0.000 0.016 0.932 0.016
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 5 0.2833 0.7769 0.000 0.140 0.004 0.004 0.852
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.1768 0.7253 0.924 0.000 0.072 0.004 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.1732 0.8416 0.080 0.000 0.000 0.920 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.4194 0.4706 0.000 0.720 0.004 0.016 0.260
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.6044 0.6255 0.516 0.000 0.380 0.008 0.096
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0404 0.9141 0.000 0.988 0.012 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 5 0.4101 0.7367 0.000 0.372 0.000 0.000 0.628
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.4523 0.7061 0.712 0.000 0.252 0.008 0.028
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.4849 0.7235 0.608 0.000 0.360 0.032 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0771 0.9118 0.000 0.976 0.020 0.000 0.004
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0162 0.7275 0.996 0.000 0.004 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 5 0.4219 0.6716 0.000 0.416 0.000 0.000 0.584
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.1121 0.8627 0.044 0.000 0.000 0.956 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.6759 0.7142 0.000 0.168 0.500 0.020 0.312
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.2692 0.8301 0.000 0.884 0.016 0.008 0.092
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0771 0.9118 0.000 0.976 0.020 0.000 0.004
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.1124 0.8592 0.036 0.000 0.004 0.960 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0703 0.7248 0.976 0.000 0.024 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.6017 0.5461 0.580 0.000 0.292 0.008 0.120
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.1195 0.9116 0.000 0.960 0.012 0.028 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.3999 0.2332 0.656 0.000 0.000 0.344 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.5037 0.7157 0.584 0.000 0.376 0.040 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.2784 0.8069 0.000 0.872 0.016 0.004 0.108
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 5 0.4689 0.5913 0.000 0.424 0.016 0.000 0.560
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0703 0.7248 0.976 0.000 0.024 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 5 0.3105 0.6953 0.000 0.088 0.044 0.004 0.864
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2304 0.7344 0.892 0.000 0.100 0.008 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.1726 0.8775 0.000 0.932 0.012 0.012 0.044 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.3966 0.3751 0.444 0.000 0.000 0.552 0.000 0.004
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 6 0.4156 0.8364 0.000 0.132 0.008 0.004 0.088 0.768
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 5 0.3894 0.7937 0.324 0.000 0.000 0.008 0.664 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 6 0.4644 0.7453 0.000 0.204 0.004 0.004 0.088 0.700
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.2362 0.5289 0.860 0.000 0.004 0.000 0.136 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0146 0.8815 0.000 0.996 0.004 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.4259 0.7516 0.000 0.176 0.740 0.008 0.000 0.076
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.6615 0.3548 0.000 0.544 0.028 0.260 0.116 0.052
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.6165 0.3447 0.456 0.000 0.212 0.000 0.320 0.012
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 5 0.3499 0.7927 0.320 0.000 0.000 0.000 0.680 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0820 0.8422 0.012 0.000 0.000 0.972 0.016 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 6 0.3315 0.8571 0.000 0.156 0.000 0.000 0.040 0.804
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.4183 0.7491 0.000 0.180 0.740 0.004 0.000 0.076
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.3744 0.6257 0.000 0.016 0.724 0.004 0.000 0.256
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.3636 0.7890 0.320 0.000 0.000 0.000 0.676 0.004
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.1167 0.8692 0.000 0.960 0.008 0.000 0.020 0.012
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.6060 0.3772 0.492 0.000 0.204 0.000 0.292 0.012
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0725 0.8768 0.000 0.976 0.012 0.000 0.012 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 6 0.3517 0.8616 0.000 0.136 0.004 0.000 0.056 0.804
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0547 0.8429 0.020 0.000 0.000 0.980 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.5011 0.0924 0.000 0.524 0.016 0.000 0.040 0.420
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.5303 0.6780 0.196 0.000 0.000 0.204 0.600 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 5 0.5343 0.6275 0.156 0.000 0.000 0.264 0.580 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.1053 0.6717 0.964 0.000 0.020 0.000 0.012 0.004
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0547 0.8804 0.000 0.980 0.020 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.6388 0.5111 0.524 0.000 0.216 0.004 0.220 0.036
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0865 0.6608 0.964 0.000 0.000 0.036 0.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.5880 0.5352 0.564 0.000 0.208 0.004 0.212 0.012
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.4796 0.6051 0.700 0.000 0.180 0.004 0.108 0.008
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4644 0.1222 0.000 0.552 0.008 0.000 0.028 0.412
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.5061 -0.5416 0.480 0.000 0.008 0.044 0.464 0.004
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.1196 0.8694 0.000 0.040 0.000 0.000 0.008 0.952
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 5 0.5117 0.6786 0.172 0.000 0.000 0.200 0.628 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 5 0.5273 0.6088 0.136 0.000 0.000 0.284 0.580 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 5 0.3805 0.7888 0.328 0.000 0.004 0.000 0.664 0.004
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.1820 0.8769 0.000 0.928 0.016 0.012 0.044 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0547 0.8804 0.000 0.980 0.020 0.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.3835 0.2519 0.656 0.000 0.004 0.336 0.000 0.004
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0603 0.6725 0.980 0.000 0.004 0.016 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0363 0.6755 0.988 0.000 0.000 0.012 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.1838 0.8762 0.000 0.928 0.020 0.012 0.040 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.4270 0.7096 0.004 0.000 0.748 0.004 0.088 0.156
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.1511 0.8785 0.000 0.940 0.004 0.012 0.044 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 6 0.2924 0.7638 0.004 0.008 0.048 0.004 0.064 0.872
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0363 0.6755 0.988 0.000 0.000 0.012 0.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0363 0.6755 0.988 0.000 0.000 0.012 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 6 0.3651 0.8347 0.000 0.160 0.016 0.000 0.032 0.792
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0146 0.8815 0.000 0.996 0.004 0.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 6 0.2250 0.8790 0.000 0.064 0.000 0.000 0.040 0.896
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0363 0.6755 0.988 0.000 0.000 0.012 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 5 0.4195 0.5988 0.440 0.000 0.004 0.000 0.548 0.008
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 5 0.4928 0.4513 0.076 0.000 0.000 0.352 0.572 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.3163 0.4570 0.780 0.000 0.004 0.000 0.212 0.004
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.6388 0.5111 0.524 0.000 0.216 0.004 0.220 0.036
#> E19D5463-FDD0-41C1-A170-323736A88D07 6 0.1196 0.8694 0.000 0.040 0.000 0.000 0.008 0.952
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#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.4735 0.6859 0.016 0.000 0.724 0.004 0.128 0.128
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 6 0.3088 0.8708 0.000 0.120 0.000 0.000 0.048 0.832
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#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.8817 0.000 1.000 0.000 0.000 0.000 0.000
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#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 6 0.3062 0.8727 0.000 0.112 0.000 0.000 0.052 0.836
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#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 6 0.1340 0.8677 0.000 0.040 0.008 0.000 0.004 0.948
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#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.6157 0.3534 0.460 0.000 0.212 0.000 0.316 0.012
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#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.6365 0.5082 0.524 0.000 0.188 0.004 0.248 0.036
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.4310 0.6935 0.016 0.000 0.764 0.004 0.124 0.092
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.5686 0.2412 0.500 0.000 0.148 0.000 0.348 0.004
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 6 0.1742 0.8624 0.004 0.040 0.008 0.004 0.008 0.936
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.4279 0.6835 0.000 0.008 0.028 0.760 0.168 0.036
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#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.6214 0.5187 0.000 0.596 0.040 0.208 0.136 0.020
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 5 0.4303 0.7869 0.316 0.000 0.012 0.008 0.656 0.008
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#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 5 0.5377 0.6139 0.156 0.000 0.000 0.272 0.572 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 6 0.2376 0.8790 0.000 0.068 0.000 0.000 0.044 0.888
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.1350 0.8799 0.000 0.952 0.020 0.008 0.020 0.000
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#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.1820 0.8766 0.000 0.928 0.016 0.012 0.044 0.000
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#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.1010 0.8391 0.036 0.000 0.000 0.960 0.000 0.004
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0820 0.8422 0.012 0.000 0.000 0.972 0.016 0.000
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#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.6206 0.4976 0.508 0.000 0.216 0.000 0.252 0.024
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 5 0.4252 0.7810 0.304 0.000 0.012 0.008 0.668 0.008
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0363 0.6755 0.988 0.000 0.000 0.012 0.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 4 0.3699 0.5523 0.336 0.000 0.000 0.660 0.000 0.004
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.1010 0.8391 0.036 0.000 0.000 0.960 0.000 0.004
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 5 0.3892 0.7757 0.352 0.000 0.004 0.000 0.640 0.004
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 6 0.1742 0.8624 0.004 0.040 0.008 0.004 0.008 0.936
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.4259 0.7516 0.000 0.176 0.740 0.008 0.000 0.076
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#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.5829 0.5045 0.564 0.000 0.204 0.000 0.216 0.016
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 5 0.3703 0.7880 0.304 0.000 0.000 0.004 0.688 0.004
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 5 0.3774 0.7925 0.328 0.000 0.000 0.008 0.664 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 6 0.1984 0.8783 0.000 0.056 0.000 0.000 0.032 0.912
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.5624 0.4208 0.000 0.592 0.016 0.012 0.092 0.288
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.6130 0.3631 0.468 0.000 0.208 0.000 0.312 0.012
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.1726 0.8775 0.000 0.932 0.012 0.012 0.044 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.3858 0.6208 0.780 0.000 0.084 0.000 0.132 0.004
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 6 0.1588 0.8808 0.000 0.072 0.000 0.000 0.004 0.924
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.3838 0.6243 0.784 0.000 0.096 0.000 0.116 0.004
#> 41183565-434D-474C-B1BD-CA6E94910658 6 0.2956 0.8344 0.004 0.020 0.052 0.004 0.044 0.876
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.3302 0.4523 0.760 0.000 0.004 0.232 0.000 0.004
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0458 0.6738 0.984 0.000 0.000 0.016 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.4940 0.3625 0.628 0.000 0.076 0.000 0.288 0.008
#> A330E011-CE08-4A85-8F4B-370592293DBB 5 0.5092 0.7173 0.232 0.000 0.000 0.144 0.624 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0260 0.6756 0.992 0.000 0.000 0.008 0.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.2263 0.7973 0.000 0.884 0.000 0.000 0.016 0.100
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.1820 0.8772 0.000 0.928 0.016 0.012 0.044 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.3314 0.6403 0.256 0.000 0.000 0.740 0.000 0.004
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0748 0.8842 0.000 0.976 0.004 0.004 0.016 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 5 0.4528 0.6849 0.404 0.000 0.004 0.028 0.564 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.2308 0.8617 0.000 0.896 0.016 0.012 0.076 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 6 0.3073 0.8530 0.000 0.152 0.008 0.000 0.016 0.824
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.4989 0.6610 0.000 0.048 0.028 0.744 0.112 0.068
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0363 0.6755 0.988 0.000 0.000 0.012 0.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.1838 0.8762 0.000 0.928 0.020 0.012 0.040 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.8817 0.000 1.000 0.000 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.1317 0.6729 0.956 0.000 0.016 0.008 0.016 0.004
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 6 0.3578 0.8364 0.000 0.160 0.016 0.000 0.028 0.796
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0964 0.8834 0.000 0.968 0.012 0.004 0.016 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.4259 0.7516 0.000 0.176 0.740 0.008 0.000 0.076
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0547 0.8804 0.000 0.980 0.020 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0458 0.6738 0.984 0.000 0.000 0.016 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0260 0.8803 0.000 0.992 0.008 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.3865 0.7835 0.000 0.800 0.028 0.012 0.136 0.024
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.1726 0.8775 0.000 0.932 0.012 0.012 0.044 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 6 0.2666 0.8283 0.004 0.036 0.016 0.004 0.048 0.892
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.4151 0.5533 0.748 0.000 0.084 0.000 0.164 0.004
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0858 0.8412 0.028 0.000 0.000 0.968 0.000 0.004
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.3652 0.7429 0.000 0.024 0.028 0.828 0.100 0.020
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.3308 0.7733 0.012 0.000 0.016 0.844 0.100 0.028
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 6 0.2540 0.8696 0.000 0.044 0.020 0.000 0.044 0.892
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 5 0.3986 0.6329 0.464 0.000 0.004 0.000 0.532 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.1686 0.8077 0.012 0.000 0.000 0.924 0.064 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.4763 0.3308 0.000 0.604 0.012 0.000 0.040 0.344
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.6153 0.5248 0.544 0.000 0.208 0.004 0.220 0.024
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0146 0.8815 0.000 0.996 0.004 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 6 0.2872 0.8673 0.000 0.140 0.000 0.000 0.024 0.836
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.6111 0.3709 0.476 0.000 0.208 0.000 0.304 0.012
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0291 0.6745 0.992 0.000 0.000 0.004 0.004 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0547 0.8804 0.000 0.980 0.020 0.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 5 0.3820 0.7880 0.332 0.000 0.004 0.000 0.660 0.004
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 6 0.3161 0.8111 0.000 0.216 0.000 0.000 0.008 0.776
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0820 0.8422 0.012 0.000 0.000 0.972 0.016 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.4259 0.7535 0.000 0.160 0.740 0.004 0.000 0.096
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.4896 0.6369 0.000 0.708 0.028 0.000 0.116 0.148
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0547 0.8804 0.000 0.980 0.020 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0725 0.8356 0.000 0.000 0.012 0.976 0.012 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 5 0.4009 0.7763 0.304 0.000 0.012 0.000 0.676 0.008
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.6716 -0.2807 0.336 0.000 0.296 0.000 0.336 0.032
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.2680 0.8486 0.000 0.876 0.012 0.012 0.092 0.008
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.5447 0.6287 0.152 0.000 0.000 0.264 0.580 0.004
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0405 0.6766 0.988 0.000 0.000 0.008 0.004 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.5201 0.6118 0.000 0.692 0.028 0.008 0.112 0.160
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 6 0.5267 0.6407 0.000 0.208 0.028 0.000 0.108 0.656
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 5 0.4009 0.7763 0.304 0.000 0.012 0.000 0.676 0.008
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.2793 0.8362 0.000 0.020 0.060 0.000 0.044 0.876
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.3872 -0.2928 0.604 0.000 0.004 0.000 0.392 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "skmeans"]
# you can also extract it by
# res = res_list["MAD:skmeans"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.999 0.999 0.5022 0.498 0.498
#> 3 3 0.706 0.685 0.826 0.2512 0.863 0.732
#> 4 4 0.809 0.813 0.922 0.1557 0.797 0.525
#> 5 5 0.765 0.623 0.783 0.0669 0.907 0.695
#> 6 6 0.863 0.812 0.908 0.0523 0.891 0.596
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 1.000 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.999 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 1.000 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.999 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 1.000 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.999 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 1.000 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0000 1.000 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 1.000 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.999 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.999 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 0.999 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 1.000 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0000 1.000 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.0000 1.000 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.999 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 1.000 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.999 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 1.000 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 1.000 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0000 0.999 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.0000 1.000 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.999 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.999 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.999 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 1.000 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.0000 0.999 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.999 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0000 0.999 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0000 0.999 1.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 1.000 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.999 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 1.000 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.999 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.999 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.999 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 1.000 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 1.000 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.999 1.000 0.000
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#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.999 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 1.000 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.0000 1.000 0.000 1.000
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#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.0000 1.000 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.999 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.999 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 1.000 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 1.000 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 1.000 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.999 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.999 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.999 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.999 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0000 0.999 1.000 0.000
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#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.999 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0000 0.999 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 1.000 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.0000 1.000 0.000 1.000
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#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.0938 0.987 0.988 0.012
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 1.000 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.999 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 1.000 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.999 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.999 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 1.000 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 1.000 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 1.000 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 1.000 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0000 0.999 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.999 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 1.000 0.000 1.000
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#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.999 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.0376 0.995 0.996 0.004
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 0.999 1.000 0.000
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#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.0000 0.999 1.000 0.000
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#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 1.000 0.000 1.000
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#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.999 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.999 1.000 0.000
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#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 1.000 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 1.000 0.000 1.000
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#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.999 1.000 0.000
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#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.999 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.999 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.999 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.999 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.999 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 1.000 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 1.000 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.999 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 1.000 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.999 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 1.000 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 1.000 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.0000 1.000 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.999 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 1.000 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 1.000 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.999 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 1.000 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 1.000 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.0000 1.000 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 1.000 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.999 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 1.000 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 1.000 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 1.000 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.0000 1.000 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.999 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 0.999 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.0000 1.000 0.000 1.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.0000 0.999 1.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 1.000 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.999 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.999 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 1.000 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.999 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 1.000 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 1.000 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.999 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.999 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 1.000 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.999 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 1.000 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 0.999 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.0000 1.000 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 1.000 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 1.000 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 0.999 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.999 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.3584 0.927 0.932 0.068
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 1.000 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.999 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.999 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 1.000 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 1.000 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.999 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 1.000 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.999 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.8787 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.6479 1.000 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.8787 0.000 1.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.6180 0.8146 0.584 0.000 0.416
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.8787 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.6180 0.8146 0.584 0.000 0.416
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.8787 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.5560 0.4283 0.000 0.700 0.300
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4062 0.6711 0.164 0.836 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.6192 0.8111 0.580 0.000 0.420
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.6180 0.8146 0.584 0.000 0.416
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0237 0.6453 0.996 0.000 0.004
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0237 0.8760 0.000 0.996 0.004
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.5397 0.4786 0.000 0.720 0.280
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.6309 -0.2958 0.000 0.500 0.500
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.6180 0.8146 0.584 0.000 0.416
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.8787 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.6180 0.8146 0.584 0.000 0.416
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.8787 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.8787 0.000 1.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0237 0.6453 0.996 0.000 0.004
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.3482 0.7508 0.000 0.872 0.128
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0424 0.6511 0.992 0.000 0.008
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.6479 1.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.6180 0.8146 0.584 0.000 0.416
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.8787 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.2165 0.2811 0.064 0.000 0.936
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.6479 1.000 0.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 3 0.5431 -0.3245 0.284 0.000 0.716
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.6215 0.8038 0.572 0.000 0.428
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.3482 0.7508 0.000 0.872 0.128
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.6154 0.8119 0.592 0.000 0.408
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.6192 0.5082 0.000 0.420 0.580
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0424 0.6511 0.992 0.000 0.008
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.6479 1.000 0.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.6180 0.8146 0.584 0.000 0.416
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.8787 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.8787 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.6479 1.000 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.6180 0.8146 0.584 0.000 0.416
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.6180 0.8146 0.584 0.000 0.416
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.8787 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.6180 0.5073 0.000 0.416 0.584
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.8787 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.6192 0.5082 0.000 0.420 0.580
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.6180 0.8146 0.584 0.000 0.416
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.6180 0.8146 0.584 0.000 0.416
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.3482 0.7508 0.000 0.872 0.128
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.8787 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 3 0.6192 0.5082 0.000 0.420 0.580
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.6180 0.8146 0.584 0.000 0.416
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.6180 0.8146 0.584 0.000 0.416
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.6479 1.000 0.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.6180 0.8146 0.584 0.000 0.416
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.3816 0.0975 0.148 0.000 0.852
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.6192 0.5082 0.000 0.420 0.580
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0237 0.6453 0.996 0.000 0.004
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0237 0.6453 0.996 0.000 0.004
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.6192 0.5082 0.000 0.420 0.580
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.6180 0.5073 0.000 0.416 0.584
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.6180 0.8146 0.584 0.000 0.416
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.3774 0.000 0.000 1.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.2711 0.7901 0.000 0.912 0.088
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.6154 0.8119 0.592 0.000 0.408
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.8787 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.6180 0.8146 0.584 0.000 0.416
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.6180 0.8146 0.584 0.000 0.416
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.8787 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.3752 0.7109 0.000 0.856 0.144
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.6260 -0.1134 0.000 0.552 0.448
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0424 0.8730 0.000 0.992 0.008
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0237 0.6453 0.996 0.000 0.004
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.6180 0.8146 0.584 0.000 0.416
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.8787 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.6479 1.000 0.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.6180 0.8146 0.584 0.000 0.416
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.6192 0.5082 0.000 0.420 0.580
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.8787 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.0237 0.6453 0.996 0.000 0.004
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.8787 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.6180 0.8146 0.584 0.000 0.416
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.8787 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.8787 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.6192 0.5082 0.000 0.420 0.580
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.6235 0.7960 0.564 0.000 0.436
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 0.6479 1.000 0.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.6479 1.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.6468 -0.2008 0.552 0.444 0.004
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 3 0.3816 0.0975 0.148 0.000 0.852
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.6180 0.8146 0.584 0.000 0.416
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 3 0.4121 0.0352 0.168 0.000 0.832
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.3774 0.000 0.000 1.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.6180 0.8146 0.584 0.000 0.416
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.6192 0.5082 0.000 0.420 0.580
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.6398 0.3148 0.416 0.580 0.004
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.8787 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.5591 0.4184 0.000 0.696 0.304
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.6168 0.3240 0.412 0.588 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.6180 0.8146 0.584 0.000 0.416
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.6180 0.8146 0.584 0.000 0.416
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.6180 0.8146 0.584 0.000 0.416
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.4399 0.7212 0.812 0.000 0.188
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.6479 1.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.6309 -0.3372 0.000 0.500 0.500
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.8787 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0747 0.8671 0.000 0.984 0.016
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.8787 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.6180 0.8146 0.584 0.000 0.416
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.6180 0.8146 0.584 0.000 0.416
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.6192 0.5082 0.000 0.420 0.580
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.6180 0.8146 0.584 0.000 0.416
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.8787 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0424 0.8730 0.000 0.992 0.008
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.0000 0.3774 0.000 0.000 1.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.8787 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.8787 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.6192 0.5082 0.000 0.420 0.580
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0237 0.6453 0.996 0.000 0.004
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0237 0.6453 0.996 0.000 0.004
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.8787 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.6180 0.8146 0.584 0.000 0.416
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.6204 -0.6173 0.424 0.000 0.576
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.6180 0.8146 0.584 0.000 0.416
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.6180 0.8146 0.584 0.000 0.416
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.6479 1.000 0.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0237 0.6453 0.996 0.000 0.004
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.6180 0.8146 0.584 0.000 0.416
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.6192 0.5082 0.000 0.420 0.580
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.5560 0.4283 0.000 0.700 0.300
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.8787 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.6180 0.8146 0.584 0.000 0.416
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.6180 0.8146 0.584 0.000 0.416
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.6180 0.8146 0.584 0.000 0.416
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 3 0.6192 0.5082 0.000 0.420 0.580
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0237 0.8759 0.000 0.996 0.004
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.6180 0.8146 0.584 0.000 0.416
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.8787 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.6180 0.8146 0.584 0.000 0.416
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.6204 0.4994 0.000 0.424 0.576
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.6180 0.8146 0.584 0.000 0.416
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.6192 0.5082 0.000 0.420 0.580
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.4399 0.7212 0.812 0.000 0.188
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.6180 0.8146 0.584 0.000 0.416
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.6180 0.8146 0.584 0.000 0.416
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.1411 0.6615 0.964 0.000 0.036
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.6180 0.8146 0.584 0.000 0.416
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.8787 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.8787 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0237 0.6453 0.996 0.000 0.004
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.8787 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.6180 0.8146 0.584 0.000 0.416
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.8787 0.000 1.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.3619 0.7426 0.000 0.864 0.136
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.8614 0.2223 0.416 0.484 0.100
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.6180 0.8146 0.584 0.000 0.416
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.8787 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.8787 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.6180 0.8146 0.584 0.000 0.416
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.3482 0.7508 0.000 0.872 0.128
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.8787 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.5621 0.4069 0.000 0.692 0.308
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.8787 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.6168 0.8132 0.588 0.000 0.412
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.8787 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.8787 0.000 1.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.8787 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.6192 0.5082 0.000 0.420 0.580
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.6180 0.8146 0.584 0.000 0.416
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0237 0.6453 0.996 0.000 0.004
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.6398 0.3148 0.416 0.580 0.004
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.3192 0.5051 0.888 0.000 0.112
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.6192 0.5082 0.000 0.420 0.580
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.6180 0.8146 0.584 0.000 0.416
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.6479 1.000 0.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.8787 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 3 0.3879 0.0857 0.152 0.000 0.848
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.8787 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0424 0.8730 0.000 0.992 0.008
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.6192 0.8110 0.580 0.000 0.420
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.6180 0.8146 0.584 0.000 0.416
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.8787 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.6180 0.8146 0.584 0.000 0.416
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.8787 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0237 0.6453 0.996 0.000 0.004
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.6295 -0.1988 0.000 0.528 0.472
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.8787 0.000 1.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.8787 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0237 0.6453 0.996 0.000 0.004
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.6180 0.8146 0.584 0.000 0.416
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.3192 0.1843 0.112 0.000 0.888
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.8787 0.000 1.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.6479 1.000 0.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.6180 0.8146 0.584 0.000 0.416
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.8787 0.000 1.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.3116 0.7741 0.000 0.892 0.108
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.6180 0.8146 0.584 0.000 0.416
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.6192 0.5082 0.000 0.420 0.580
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.6180 0.8146 0.584 0.000 0.416
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.0592 0.8414 0.016 0.000 0.000 0.984
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.4008 0.6283 0.000 0.756 0.244 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0188 0.9593 0.996 0.000 0.000 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.4164 0.5945 0.000 0.736 0.264 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.5417 0.3260 0.000 0.412 0.572 0.016
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.3266 0.7427 0.000 0.832 0.000 0.168
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0469 0.9549 0.988 0.000 0.012 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.3024 0.7631 0.000 0.852 0.148 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.4925 0.2991 0.000 0.428 0.572 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0188 0.8298 0.000 0.004 0.996 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.3801 0.6642 0.000 0.780 0.220 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.4761 0.2997 0.000 0.628 0.372 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 4 0.4697 0.5511 0.356 0.000 0.000 0.644
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 4 0.4134 0.7074 0.260 0.000 0.000 0.740
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.1474 0.9163 0.948 0.000 0.052 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 4 0.4356 0.6462 0.292 0.000 0.000 0.708
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0336 0.9581 0.992 0.000 0.008 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.1209 0.9379 0.964 0.000 0.032 0.004
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4761 0.2997 0.000 0.628 0.372 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.3610 0.7267 0.800 0.000 0.000 0.200
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 4 0.4697 0.5511 0.356 0.000 0.000 0.644
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 4 0.3486 0.7696 0.188 0.000 0.000 0.812
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.3942 0.7345 0.236 0.000 0.000 0.764
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0000 0.8283 0.000 0.000 1.000 0.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.0000 0.8283 0.000 0.000 1.000 0.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.4977 0.0591 0.000 0.540 0.460 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.0707 0.8407 0.020 0.000 0.000 0.980
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0707 0.9478 0.980 0.000 0.020 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.8283 0.000 0.000 1.000 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0188 0.9593 0.996 0.000 0.000 0.004
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.8283 0.000 0.000 1.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 3 0.4955 0.1970 0.000 0.444 0.556 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.3444 0.7550 0.816 0.000 0.000 0.184
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.3123 0.7950 0.844 0.000 0.000 0.156
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 3 0.4888 0.2821 0.000 0.412 0.588 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 3 0.3764 0.6761 0.000 0.216 0.784 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.4543 0.4744 0.000 0.676 0.324 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0817 0.9441 0.976 0.000 0.000 0.024
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.3907 0.7386 0.232 0.000 0.000 0.768
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0469 0.9549 0.988 0.000 0.012 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> 83B88608-0506-428C-B9E8-621F38477B42 4 0.3942 0.7365 0.236 0.000 0.000 0.764
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0707 0.9478 0.980 0.000 0.020 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0592 0.9503 0.984 0.000 0.016 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.1557 0.7865 0.056 0.000 0.944 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.3024 0.7094 0.000 0.148 0.000 0.852
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 3 0.3569 0.6921 0.000 0.196 0.804 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.3172 0.7384 0.000 0.840 0.000 0.160
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0336 0.9568 0.992 0.000 0.000 0.008
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.2760 0.8318 0.872 0.000 0.000 0.128
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.4855 0.2383 0.600 0.000 0.000 0.400
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 4 0.3942 0.7365 0.236 0.000 0.000 0.764
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 3 0.2921 0.7476 0.000 0.140 0.860 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 3 0.4994 0.0861 0.000 0.480 0.520 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.4855 0.2816 0.000 0.600 0.400 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.4907 0.2275 0.420 0.000 0.580 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.2021 0.9035 0.932 0.000 0.012 0.056
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.3123 0.7951 0.844 0.000 0.000 0.156
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> D005833F-E991-4E9E-9667-55F137288004 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.5417 0.3260 0.000 0.412 0.572 0.016
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0188 0.9593 0.996 0.000 0.000 0.004
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0188 0.9593 0.996 0.000 0.000 0.004
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0336 0.9035 0.000 0.992 0.008 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.0707 0.8330 0.000 0.020 0.980 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.4916 0.3518 0.424 0.000 0.000 0.576
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 4 0.4996 0.2075 0.484 0.000 0.000 0.516
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.2868 0.8218 0.864 0.000 0.000 0.136
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 3 0.4500 0.5257 0.000 0.316 0.684 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.3764 0.6237 0.000 0.216 0.000 0.784
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.4955 0.1088 0.000 0.556 0.444 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.5408 0.3349 0.000 0.408 0.576 0.016
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.3123 0.7906 0.844 0.000 0.000 0.156
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.2647 0.7399 0.000 0.120 0.000 0.880
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.0469 0.8358 0.000 0.012 0.988 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0707 0.9478 0.980 0.000 0.020 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4761 0.3558 0.000 0.628 0.372 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.1716 0.8545 0.000 0.936 0.064 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.3024 0.7420 0.000 0.148 0.852 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.8456 0.000 0.000 0.000 1.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.4830 0.3808 0.608 0.000 0.392 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 4 0.3975 0.7321 0.240 0.000 0.000 0.760
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0188 0.9601 0.996 0.000 0.000 0.004
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.9096 0.000 1.000 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.4543 0.4500 0.000 0.676 0.324 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.9608 1.000 0.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.0336 0.8336 0.000 0.008 0.992 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.9608 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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.3586 0.6221 0.000 0.000 0.000 0.736 0.264
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 5 0.5344 0.2281 0.000 0.448 0.052 0.000 0.500
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0162 0.6620 0.996 0.000 0.000 0.004 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.5406 -0.1706 0.000 0.480 0.056 0.000 0.464
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.4182 0.6856 0.600 0.000 0.000 0.000 0.400
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.2886 0.6856 0.000 0.148 0.844 0.008 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.3999 0.4530 0.000 0.656 0.000 0.344 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.5288 0.4226 0.656 0.000 0.244 0.000 0.100
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.6639 1.000 0.000 0.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 5 0.5352 0.2950 0.000 0.408 0.056 0.000 0.536
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.2605 0.6862 0.000 0.148 0.852 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0794 0.6410 0.000 0.000 0.972 0.000 0.028
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.6639 1.000 0.000 0.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.3132 0.6792 0.820 0.000 0.008 0.000 0.172
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 5 0.5337 0.2498 0.000 0.440 0.052 0.000 0.508
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.4638 0.2965 0.000 0.648 0.324 0.000 0.028
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.4305 -0.3048 0.512 0.000 0.000 0.488 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4307 -0.3324 0.500 0.000 0.000 0.500 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.4283 0.6846 0.544 0.000 0.000 0.000 0.456
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.4807 0.6756 0.532 0.000 0.020 0.000 0.448
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 5 0.6695 -0.4602 0.264 0.000 0.000 0.308 0.428
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.5692 0.6285 0.472 0.000 0.080 0.000 0.448
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 5 0.6602 -0.5150 0.304 0.000 0.240 0.000 0.456
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4677 0.3341 0.000 0.664 0.300 0.000 0.036
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.2864 0.5369 0.852 0.000 0.000 0.136 0.012
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.4304 -0.2980 0.516 0.000 0.000 0.484 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 4 0.4291 0.3770 0.464 0.000 0.000 0.536 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.6639 1.000 0.000 0.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.5080 0.4446 0.048 0.000 0.000 0.604 0.348
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.4273 0.6862 0.552 0.000 0.000 0.000 0.448
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.4283 0.6846 0.544 0.000 0.000 0.000 0.456
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0000 0.6679 0.000 0.000 1.000 0.000 0.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.4283 0.6846 0.544 0.000 0.000 0.000 0.456
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.4283 0.6846 0.544 0.000 0.000 0.000 0.456
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 3 0.6746 -0.0159 0.000 0.360 0.380 0.000 0.260
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 5 0.4425 0.5187 0.000 0.004 0.452 0.000 0.544
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.4283 0.6846 0.544 0.000 0.000 0.000 0.456
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.2852 0.6848 0.828 0.000 0.000 0.000 0.172
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.4283 0.3929 0.456 0.000 0.000 0.544 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.4192 0.6867 0.596 0.000 0.000 0.000 0.404
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.4723 0.6781 0.536 0.000 0.016 0.000 0.448
#> E19D5463-FDD0-41C1-A170-323736A88D07 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.6679 0.000 0.000 1.000 0.000 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0162 0.6620 0.996 0.000 0.000 0.004 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0963 0.6798 0.000 0.000 0.964 0.000 0.036
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 5 0.6103 0.3715 0.000 0.300 0.156 0.000 0.544
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.2462 0.5647 0.880 0.000 0.000 0.112 0.008
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.2280 0.5554 0.880 0.000 0.000 0.120 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.4273 0.6862 0.552 0.000 0.000 0.000 0.448
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 5 0.6086 0.3694 0.000 0.304 0.152 0.000 0.544
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 5 0.4798 0.5067 0.000 0.020 0.440 0.000 0.540
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 5 0.5672 0.3314 0.000 0.368 0.088 0.000 0.544
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0162 0.6620 0.996 0.000 0.000 0.004 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.5565 0.5339 0.128 0.000 0.000 0.632 0.240
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.6639 1.000 0.000 0.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.4283 0.6846 0.544 0.000 0.000 0.000 0.456
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.5348 0.4457 0.656 0.000 0.232 0.000 0.112
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.4307 -0.3324 0.500 0.000 0.000 0.500 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.4723 0.6781 0.536 0.000 0.016 0.000 0.448
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.4273 0.6862 0.552 0.000 0.000 0.000 0.448
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.4533 0.6823 0.544 0.000 0.008 0.000 0.448
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.1357 0.6780 0.004 0.000 0.948 0.000 0.048
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.2179 0.6732 0.888 0.000 0.000 0.000 0.112
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.2280 0.7266 0.000 0.120 0.000 0.880 0.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 5 0.4793 0.5086 0.000 0.020 0.436 0.000 0.544
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.1121 0.8852 0.000 0.956 0.000 0.044 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0162 0.6620 0.996 0.000 0.000 0.004 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.2020 0.5786 0.900 0.000 0.000 0.100 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.4273 0.6862 0.552 0.000 0.000 0.000 0.448
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.6474 0.4892 0.472 0.000 0.000 0.200 0.328
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 4 0.4307 0.3060 0.496 0.000 0.000 0.504 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 5 0.5916 0.4468 0.000 0.120 0.336 0.000 0.544
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 5 0.5825 0.3321 0.000 0.360 0.104 0.000 0.536
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.4273 0.6854 0.552 0.000 0.000 0.000 0.448
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.6639 1.000 0.000 0.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.6639 1.000 0.000 0.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 5 0.5965 0.3609 0.000 0.328 0.128 0.000 0.544
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.2927 0.6247 0.060 0.000 0.872 0.000 0.068
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0510 0.6678 0.984 0.000 0.000 0.000 0.016
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 5 0.7647 -0.4678 0.288 0.000 0.264 0.052 0.396
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.2280 0.5556 0.880 0.000 0.000 0.120 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.4283 0.6846 0.544 0.000 0.000 0.000 0.456
#> D005833F-E991-4E9E-9667-55F137288004 4 0.0290 0.8521 0.000 0.000 0.000 0.992 0.008
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.6639 1.000 0.000 0.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.2886 0.6856 0.000 0.148 0.844 0.008 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.4702 0.6827 0.552 0.000 0.016 0.000 0.432
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0162 0.6620 0.996 0.000 0.000 0.004 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0162 0.6620 0.996 0.000 0.000 0.004 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.1697 0.8606 0.000 0.932 0.008 0.000 0.060
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.3527 0.6501 0.828 0.000 0.056 0.000 0.116
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.4273 0.6854 0.552 0.000 0.000 0.000 0.448
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.4273 0.6854 0.552 0.000 0.000 0.000 0.448
#> 41183565-434D-474C-B1BD-CA6E94910658 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 5 0.6774 -0.5171 0.320 0.000 0.000 0.288 0.392
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.4273 0.6862 0.552 0.000 0.000 0.000 0.448
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.4262 0.6872 0.560 0.000 0.000 0.000 0.440
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.3966 0.1240 0.664 0.000 0.000 0.336 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.4283 0.6846 0.544 0.000 0.000 0.000 0.456
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0290 0.9218 0.000 0.992 0.000 0.000 0.008
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.0451 0.8506 0.004 0.000 0.000 0.988 0.008
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.2193 0.5872 0.900 0.000 0.000 0.092 0.008
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 5 0.6247 0.3154 0.000 0.144 0.424 0.000 0.432
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.3242 0.5856 0.000 0.216 0.000 0.784 0.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.4283 0.6846 0.544 0.000 0.000 0.000 0.456
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.4283 0.6846 0.544 0.000 0.000 0.000 0.456
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 3 0.6783 -0.1463 0.000 0.280 0.372 0.000 0.348
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.2763 0.6864 0.000 0.148 0.848 0.004 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.4637 0.6795 0.536 0.000 0.000 0.012 0.452
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.4273 0.6854 0.552 0.000 0.000 0.000 0.448
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.2179 0.7367 0.000 0.112 0.000 0.888 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0510 0.6665 0.984 0.000 0.000 0.000 0.016
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.0609 0.8447 0.020 0.000 0.000 0.980 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.3003 0.7014 0.000 0.812 0.000 0.000 0.188
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.4723 0.6781 0.536 0.000 0.016 0.000 0.448
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 5 0.5987 0.3632 0.000 0.324 0.132 0.000 0.544
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.2920 0.6719 0.852 0.000 0.016 0.000 0.132
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.4283 0.6846 0.544 0.000 0.000 0.000 0.456
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.6639 1.000 0.000 0.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.5171 -0.0887 0.000 0.504 0.040 0.000 0.456
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.1732 0.6982 0.000 0.080 0.920 0.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.8565 0.000 0.000 0.000 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.6639 1.000 0.000 0.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.5498 0.3148 0.340 0.000 0.580 0.000 0.080
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.4307 -0.3324 0.500 0.000 0.000 0.500 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.4283 0.6846 0.544 0.000 0.000 0.000 0.456
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.9294 0.000 1.000 0.000 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.6474 -0.1588 0.000 0.472 0.328 0.000 0.200
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.6639 1.000 0.000 0.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 5 0.4283 0.5201 0.000 0.000 0.456 0.000 0.544
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0880 0.6702 0.968 0.000 0.000 0.000 0.032
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0260 0.9570 0.000 0.992 0.008 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.4093 -0.0377 0.516 0.000 0.000 0.476 0.008 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 6 0.3531 0.5447 0.000 0.328 0.000 0.000 0.000 0.672
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 5 0.0547 0.8780 0.020 0.000 0.000 0.000 0.980 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 6 0.3695 0.4692 0.000 0.376 0.000 0.000 0.000 0.624
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.2697 0.6945 0.812 0.000 0.000 0.000 0.188 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9569 0.000 1.000 0.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.3229 0.7774 0.000 0.172 0.804 0.004 0.000 0.020
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4249 0.2876 0.000 0.568 0.004 0.416 0.012 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.5855 0.1004 0.200 0.000 0.352 0.000 0.448 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 5 0.0458 0.8773 0.016 0.000 0.000 0.000 0.984 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0146 0.9327 0.000 0.000 0.000 0.996 0.004 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 6 0.1663 0.8453 0.000 0.088 0.000 0.000 0.000 0.912
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#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.3229 0.7774 0.000 0.172 0.804 0.004 0.000 0.020
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0146 0.9573 0.000 0.996 0.004 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0508 0.8277 0.984 0.000 0.000 0.004 0.012 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9569 0.000 1.000 0.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0653 0.9449 0.000 0.980 0.004 0.004 0.012 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0260 0.9570 0.000 0.992 0.008 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 6 0.0000 0.8914 0.000 0.000 0.000 0.000 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.3767 0.7507 0.780 0.000 0.088 0.000 0.132 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0291 0.9315 0.004 0.000 0.000 0.992 0.004 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.0508 0.9245 0.000 0.000 0.004 0.984 0.012 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0508 0.9245 0.000 0.000 0.004 0.984 0.012 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 6 0.0000 0.8914 0.000 0.000 0.000 0.000 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 5 0.1957 0.8342 0.112 0.000 0.000 0.000 0.888 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.0260 0.9304 0.000 0.000 0.000 0.992 0.008 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.2854 0.6946 0.000 0.792 0.000 0.000 0.000 0.208
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.4031 0.7107 0.748 0.000 0.188 0.000 0.060 0.004
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9569 0.000 1.000 0.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 6 0.0547 0.8876 0.000 0.020 0.000 0.000 0.000 0.980
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.5852 0.1657 0.420 0.000 0.192 0.000 0.388 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0363 0.8284 0.988 0.000 0.000 0.000 0.012 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0146 0.9573 0.000 0.996 0.004 0.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 5 0.0713 0.8777 0.028 0.000 0.000 0.000 0.972 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 6 0.3371 0.5971 0.000 0.292 0.000 0.000 0.000 0.708
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0146 0.9327 0.000 0.000 0.000 0.996 0.004 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.3210 0.7782 0.000 0.168 0.804 0.000 0.000 0.028
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0653 0.9449 0.000 0.980 0.004 0.004 0.012 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0260 0.9570 0.000 0.992 0.008 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0146 0.9327 0.000 0.000 0.000 0.996 0.004 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 5 0.0458 0.8773 0.016 0.000 0.000 0.000 0.984 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.3753 0.5626 0.028 0.000 0.748 0.000 0.220 0.004
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0260 0.9570 0.000 0.992 0.008 0.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.1918 0.8417 0.008 0.000 0.000 0.088 0.904 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0363 0.8272 0.988 0.000 0.000 0.000 0.012 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0870 0.9385 0.000 0.972 0.004 0.012 0.012 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 6 0.4329 0.4494 0.000 0.352 0.004 0.008 0.012 0.624
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 5 0.0458 0.8773 0.016 0.000 0.000 0.000 0.984 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.0260 0.8887 0.000 0.000 0.008 0.000 0.000 0.992
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 5 0.3578 0.5401 0.340 0.000 0.000 0.000 0.660 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 18133 rows and 198 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 0.991 0.996 0.5025 0.498 0.498
#> 3 3 0.877 0.900 0.952 0.2464 0.861 0.724
#> 4 4 0.786 0.843 0.902 0.0855 0.933 0.825
#> 5 5 0.764 0.746 0.866 0.0782 0.889 0.685
#> 6 6 0.788 0.724 0.887 0.0767 0.920 0.717
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.995 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.996 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.995 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.996 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.995 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.996 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.995 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0000 0.995 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 0.995 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.996 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.996 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 0.996 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.995 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0000 0.995 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.0000 0.995 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.996 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.995 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.996 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.995 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.995 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0000 0.996 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.0000 0.995 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.996 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.996 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.996 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.995 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.0000 0.996 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.996 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0000 0.996 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.6623 0.794 0.828 0.172
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.995 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.996 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.995 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.996 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.996 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.996 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.995 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.995 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.996 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.996 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.996 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.995 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.4939 0.879 0.108 0.892
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.995 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.0000 0.995 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.996 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.996 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.995 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.995 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.995 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.996 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.996 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.996 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.996 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0000 0.996 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.995 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.996 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0000 0.996 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 0.995 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.4161 0.908 0.084 0.916
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.996 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.2778 0.949 0.952 0.048
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.995 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.996 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.995 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.996 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.996 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.995 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.995 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.995 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.995 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0000 0.996 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.996 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.995 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.996 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.996 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.995 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.995 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.0000 0.996 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.995 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 0.996 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.995 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.995 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0000 0.995 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.996 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 0.996 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.996 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.8386 0.637 0.268 0.732
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 0.996 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.996 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0000 0.996 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.1633 0.974 0.976 0.024
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.996 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 0.995 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.1843 0.968 0.028 0.972
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.995 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.995 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 0.995 0.000 1.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.996 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.996 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.996 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.996 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.996 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.995 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.995 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.995 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.995 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.996 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.996 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.995 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.996 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.995 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.995 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.0000 0.996 1.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.995 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.995 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.995 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0000 0.996 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0000 0.996 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.995 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.996 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.0000 0.996 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.996 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.996 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.996 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0000 0.996 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.996 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 0.995 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.0000 0.995 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.995 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.996 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.996 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.996 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.995 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.995 0.000 1.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.996 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.995 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.996 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.995 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.996 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 0.995 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.996 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.996 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.996 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.996 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.996 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.995 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.995 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.996 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.995 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.996 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.995 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.995 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.0000 0.995 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.996 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.995 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.995 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.996 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.995 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.995 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.0000 0.995 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.995 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.996 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.995 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.995 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.995 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.0000 0.995 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.996 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 0.996 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.0376 0.991 0.004 0.996
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.1843 0.970 0.972 0.028
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.995 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.996 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.996 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.995 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.996 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.995 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.995 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.996 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.996 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.995 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.996 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.995 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 0.996 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.0000 0.995 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.995 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.995 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 0.996 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.996 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.4298 0.904 0.912 0.088
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.995 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.996 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.996 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.995 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.995 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.996 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.995 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.996 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9966 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 3 0.0000 0.8560 0.000 0.000 1.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9966 0.000 1.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.9183 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9966 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 3 0.6308 0.1712 0.492 0.000 0.508
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9966 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0424 0.9893 0.000 0.992 0.008
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.2959 0.8859 0.000 0.900 0.100
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.9183 1.000 0.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.9183 1.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 3 0.0892 0.8482 0.020 0.000 0.980
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.9966 0.000 1.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0000 0.9966 0.000 1.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.0000 0.9966 0.000 1.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.9183 1.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9966 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.1163 0.9151 0.972 0.000 0.028
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9966 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.9966 0.000 1.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 3 0.0000 0.8560 0.000 0.000 1.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.0000 0.9966 0.000 1.000 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.5465 0.6346 0.712 0.000 0.288
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4887 0.7167 0.772 0.000 0.228
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0892 0.9179 0.980 0.000 0.020
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9966 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.0892 0.9179 0.980 0.000 0.020
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 3 0.4796 0.7232 0.220 0.000 0.780
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0892 0.9179 0.980 0.000 0.020
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.3896 0.8478 0.888 0.060 0.052
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.9966 0.000 1.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.3686 0.8035 0.860 0.000 0.140
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.9966 0.000 1.000 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.4887 0.7167 0.772 0.000 0.228
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 3 0.2878 0.8042 0.096 0.000 0.904
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.9183 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9966 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9966 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 3 0.4750 0.7271 0.216 0.000 0.784
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 3 0.4887 0.7150 0.228 0.000 0.772
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0892 0.9179 0.980 0.000 0.020
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9966 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.2846 0.9082 0.056 0.924 0.020
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9966 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.1315 0.9671 0.008 0.972 0.020
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.1643 0.9062 0.956 0.000 0.044
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0892 0.9179 0.980 0.000 0.020
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.9966 0.000 1.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9966 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.9966 0.000 1.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 3 0.5016 0.7001 0.240 0.000 0.760
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0892 0.9179 0.980 0.000 0.020
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.4796 0.7262 0.780 0.000 0.220
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.9183 1.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0892 0.9179 0.980 0.000 0.020
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.9966 0.000 1.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 3 0.0000 0.8560 0.000 0.000 1.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 3 0.0000 0.8560 0.000 0.000 1.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 0.9966 0.000 1.000 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.1877 0.9502 0.032 0.956 0.012
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.9183 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.3832 0.8212 0.880 0.100 0.020
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.9966 0.000 1.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.9183 1.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9966 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.4750 0.7314 0.784 0.000 0.216
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0892 0.9179 0.980 0.000 0.020
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9966 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.9966 0.000 1.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.9966 0.000 1.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.9966 0.000 1.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 3 0.0000 0.8560 0.000 0.000 1.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.9183 1.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9966 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.5098 0.7166 0.752 0.000 0.248
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.9183 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.9966 0.000 1.000 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9966 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 3 0.0000 0.8560 0.000 0.000 1.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9966 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 3 0.4887 0.7150 0.228 0.000 0.772
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9966 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9966 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0000 0.9966 0.000 1.000 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.9183 1.000 0.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 3 0.0000 0.8560 0.000 0.000 1.000
#> 83B88608-0506-428C-B9E8-621F38477B42 3 0.6126 0.2586 0.400 0.000 0.600
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.0000 0.8560 0.000 0.000 1.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0892 0.9179 0.980 0.000 0.020
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.2625 0.8754 0.916 0.000 0.084
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0892 0.9179 0.980 0.000 0.020
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.3234 0.8550 0.908 0.072 0.020
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.9183 1.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 0.9966 0.000 1.000 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.6225 0.2352 0.000 0.432 0.568
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9966 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.9966 0.000 1.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 3 0.6308 0.0578 0.000 0.492 0.508
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.9183 1.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.4974 0.6588 0.764 0.000 0.236
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.5810 0.4684 0.664 0.000 0.336
#> F9DD688C-7B35-49E7-9651-2E098EE78856 3 0.4555 0.7564 0.200 0.000 0.800
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.5882 0.5201 0.652 0.000 0.348
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.9966 0.000 1.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9966 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.9966 0.000 1.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9966 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0237 0.9184 0.996 0.000 0.004
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.9183 1.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.9966 0.000 1.000 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.9183 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9966 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.9966 0.000 1.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.0892 0.9179 0.980 0.000 0.020
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9966 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9966 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.9966 0.000 1.000 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 3 0.0000 0.8560 0.000 0.000 1.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 3 0.0892 0.8482 0.020 0.000 0.980
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9966 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.9183 1.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.5216 0.6544 0.740 0.000 0.260
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.4605 0.7461 0.796 0.000 0.204
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0892 0.9179 0.980 0.000 0.020
#> D005833F-E991-4E9E-9667-55F137288004 3 0.0000 0.8560 0.000 0.000 1.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 3 0.0892 0.8482 0.020 0.000 0.980
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.9183 1.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 0.9966 0.000 1.000 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.0424 0.9893 0.000 0.992 0.008
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9966 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0892 0.9179 0.980 0.000 0.020
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.1289 0.9037 0.968 0.000 0.032
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.9183 1.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.9966 0.000 1.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.9966 0.000 1.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.1163 0.9165 0.972 0.000 0.028
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9966 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0892 0.9179 0.980 0.000 0.020
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.9966 0.000 1.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0892 0.9179 0.980 0.000 0.020
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 0.9966 0.000 1.000 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 3 0.4796 0.7232 0.220 0.000 0.780
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.4931 0.6915 0.768 0.000 0.232
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0892 0.9179 0.980 0.000 0.020
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.4452 0.7602 0.808 0.000 0.192
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0892 0.9179 0.980 0.000 0.020
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9966 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9966 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 3 0.3686 0.7990 0.140 0.000 0.860
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9966 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.9183 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9966 0.000 1.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.9966 0.000 1.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.4062 0.7391 0.000 0.164 0.836
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.4842 0.7018 0.776 0.000 0.224
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.9966 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9966 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0892 0.9179 0.980 0.000 0.020
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.9966 0.000 1.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9966 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.0424 0.9893 0.000 0.992 0.008
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9966 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 3 0.4887 0.7150 0.228 0.000 0.772
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9966 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9966 0.000 1.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9966 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.0000 0.9966 0.000 1.000 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0892 0.9179 0.980 0.000 0.020
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 3 0.0000 0.8560 0.000 0.000 1.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.0892 0.8445 0.000 0.020 0.980
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.0000 0.8560 0.000 0.000 1.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.9966 0.000 1.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.9183 1.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 3 0.0892 0.8482 0.020 0.000 0.980
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9966 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0892 0.9179 0.980 0.000 0.020
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9966 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9966 0.000 1.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.3686 0.8366 0.860 0.000 0.140
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0892 0.9179 0.980 0.000 0.020
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9966 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.9183 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9966 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 3 0.0000 0.8560 0.000 0.000 1.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.0424 0.9893 0.000 0.992 0.008
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9966 0.000 1.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9966 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 3 0.0000 0.8560 0.000 0.000 1.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.9183 1.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.4121 0.7304 0.832 0.168 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9966 0.000 1.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.4887 0.7167 0.772 0.000 0.228
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0892 0.9179 0.980 0.000 0.020
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.9966 0.000 1.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.9966 0.000 1.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.9183 1.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.9966 0.000 1.000 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.9183 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 4 0.7258 0.364 0.328 0.000 0.164 0.508
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.3219 0.889 0.000 0.164 0.836 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0469 0.964 0.000 0.988 0.000 0.012
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0188 0.853 0.996 0.000 0.004 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0707 0.787 0.020 0.000 0.000 0.980
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.3219 0.889 0.000 0.164 0.836 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.3219 0.889 0.000 0.164 0.836 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4104 0.827 0.808 0.000 0.164 0.028
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.4164 0.803 0.000 0.264 0.736 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.4304 0.608 0.716 0.000 0.000 0.284
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.3610 0.690 0.800 0.000 0.000 0.200
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 4 0.6537 0.596 0.200 0.000 0.164 0.636
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0707 0.854 0.980 0.000 0.000 0.020
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 2 0.7476 0.180 0.236 0.576 0.168 0.020
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0817 0.957 0.000 0.976 0.024 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.4605 0.792 0.800 0.000 0.092 0.108
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.3610 0.690 0.800 0.000 0.000 0.200
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 4 0.2469 0.732 0.108 0.000 0.000 0.892
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.6303 0.614 0.192 0.000 0.148 0.660
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.6537 0.596 0.200 0.000 0.164 0.636
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.3672 0.881 0.000 0.164 0.824 0.012
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.7389 0.687 0.148 0.252 0.580 0.020
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.4462 0.816 0.792 0.000 0.164 0.044
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0707 0.960 0.000 0.980 0.020 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.6537 0.596 0.200 0.000 0.164 0.636
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0707 0.854 0.980 0.000 0.000 0.020
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.3610 0.690 0.800 0.000 0.000 0.200
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.3219 0.834 0.836 0.000 0.164 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.2335 0.854 0.920 0.000 0.060 0.020
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0336 0.968 0.000 0.992 0.000 0.008
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.3219 0.889 0.000 0.164 0.836 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.3219 0.662 0.164 0.000 0.836 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0188 0.855 0.996 0.000 0.004 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.3569 0.695 0.804 0.000 0.000 0.196
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.1792 0.913 0.000 0.932 0.068 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0469 0.967 0.000 0.988 0.012 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.3801 0.691 0.780 0.000 0.000 0.220
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.6537 0.596 0.200 0.000 0.164 0.636
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.2408 0.868 0.000 0.896 0.104 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0469 0.855 0.988 0.000 0.012 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> 83B88608-0506-428C-B9E8-621F38477B42 4 0.4888 0.174 0.412 0.000 0.000 0.588
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.2002 0.855 0.936 0.000 0.044 0.020
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.5186 0.783 0.752 0.000 0.164 0.084
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0707 0.854 0.980 0.000 0.000 0.020
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.3219 0.662 0.164 0.000 0.836 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0469 0.856 0.988 0.000 0.012 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.1978 0.909 0.000 0.928 0.068 0.004
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.4776 0.165 0.000 0.376 0.000 0.624
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.3726 0.661 0.000 0.788 0.000 0.212
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.4228 0.613 0.760 0.000 0.008 0.232
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.6957 0.496 0.576 0.000 0.164 0.260
#> F9DD688C-7B35-49E7-9651-2E098EE78856 4 0.4267 0.694 0.188 0.000 0.024 0.788
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4643 0.536 0.656 0.000 0.000 0.344
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.1118 0.946 0.000 0.964 0.036 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.1022 0.949 0.000 0.968 0.032 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.1792 0.913 0.000 0.932 0.068 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.3402 0.833 0.832 0.000 0.164 0.004
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.1022 0.856 0.968 0.000 0.032 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.1716 0.917 0.000 0.936 0.064 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.0707 0.854 0.980 0.000 0.000 0.020
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.1792 0.913 0.000 0.932 0.068 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0707 0.787 0.020 0.000 0.000 0.980
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.4072 0.612 0.748 0.000 0.000 0.252
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.3444 0.709 0.816 0.000 0.000 0.184
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> D005833F-E991-4E9E-9667-55F137288004 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0707 0.787 0.020 0.000 0.000 0.980
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.2973 0.840 0.856 0.000 0.144 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0707 0.954 0.000 0.980 0.000 0.020
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.3219 0.889 0.000 0.164 0.836 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0817 0.844 0.976 0.000 0.000 0.024
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.1792 0.913 0.000 0.932 0.068 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0707 0.854 0.980 0.000 0.000 0.020
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0707 0.954 0.000 0.980 0.000 0.020
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.6537 0.596 0.200 0.000 0.164 0.636
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.6469 0.636 0.644 0.000 0.164 0.192
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0707 0.854 0.980 0.000 0.000 0.020
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.3311 0.723 0.828 0.000 0.000 0.172
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.3271 0.738 0.132 0.000 0.012 0.856
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.3219 0.834 0.836 0.000 0.164 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.4008 0.472 0.000 0.244 0.000 0.756
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.6724 0.574 0.612 0.000 0.164 0.224
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.2868 0.822 0.000 0.864 0.136 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.3219 0.889 0.000 0.164 0.836 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.6537 0.596 0.200 0.000 0.164 0.636
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.5289 0.682 0.000 0.344 0.636 0.020
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.0707 0.779 0.000 0.020 0.000 0.980
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.1792 0.913 0.000 0.932 0.068 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.3219 0.834 0.836 0.000 0.164 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.0707 0.787 0.020 0.000 0.000 0.980
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.2704 0.793 0.876 0.000 0.000 0.124
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0188 0.973 0.000 0.996 0.004 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.3219 0.889 0.000 0.164 0.836 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.799 0.000 0.000 0.000 1.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.5727 0.554 0.692 0.080 0.228 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.3610 0.690 0.800 0.000 0.000 0.200
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.3900 0.831 0.816 0.000 0.164 0.020
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.854 1.000 0.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.976 0.000 1.000 0.000 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.3219 0.834 0.836 0.000 0.164 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9377 0.000 1.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.0000 0.8840 0.000 0.000 0.000 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0963 0.9278 0.000 0.964 0.000 0.000 0.036
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 5 0.2966 0.8331 0.184 0.000 0.000 0.000 0.816
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0162 0.9369 0.000 0.996 0.000 0.000 0.004
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3231 0.6214 0.800 0.000 0.000 0.196 0.004
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9377 0.000 1.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.8681 0.000 0.000 1.000 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 0.9377 0.000 1.000 0.000 0.000 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.3816 0.7246 0.304 0.000 0.000 0.000 0.696
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 5 0.2929 0.8351 0.180 0.000 0.000 0.000 0.820
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.8840 0.000 0.000 0.000 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.1671 0.9126 0.000 0.924 0.000 0.000 0.076
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 0.8681 0.000 0.000 1.000 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0000 0.8681 0.000 0.000 1.000 0.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.2929 0.8351 0.180 0.000 0.000 0.000 0.820
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9377 0.000 1.000 0.000 0.000 0.000
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#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.2648 0.7195 0.000 0.000 0.000 0.848 0.152
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0162 0.9369 0.000 0.996 0.000 0.000 0.004
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.7310 1.000 0.000 0.000 0.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9377 0.000 1.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9377 0.000 1.000 0.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.6183 -0.1941 0.456 0.000 0.000 0.136 0.408
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.7310 1.000 0.000 0.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0162 0.9364 0.000 0.996 0.004 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 5 0.3983 0.6938 0.340 0.000 0.000 0.000 0.660
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.1671 0.9126 0.000 0.924 0.000 0.000 0.076
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.8840 0.000 0.000 0.000 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.8681 0.000 0.000 1.000 0.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9377 0.000 1.000 0.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9377 0.000 1.000 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.8840 0.000 0.000 0.000 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 5 0.2929 0.8351 0.180 0.000 0.000 0.000 0.820
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 2 0.8599 -0.3191 0.180 0.308 0.292 0.004 0.216
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9377 0.000 1.000 0.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.6009 0.6230 0.180 0.000 0.000 0.240 0.580
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.7310 1.000 0.000 0.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0290 0.9361 0.000 0.992 0.000 0.000 0.008
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.1671 0.9126 0.000 0.924 0.000 0.000 0.076
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 5 0.2929 0.8351 0.180 0.000 0.000 0.000 0.820
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.1732 0.9111 0.000 0.920 0.000 0.000 0.080
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.3109 0.5325 0.800 0.000 0.000 0.000 0.200
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.3244 0.6598 0.000 0.732 0.000 0.000 0.000 0.268
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 5 0.0146 0.8571 0.004 0.000 0.000 0.000 0.996 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.2562 0.7684 0.000 0.828 0.000 0.000 0.000 0.172
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0632 0.8356 0.976 0.000 0.000 0.024 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.9001 0.000 0.000 1.000 0.000 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0405 0.8850 0.000 0.988 0.000 0.008 0.000 0.004
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.2092 0.7919 0.124 0.000 0.000 0.000 0.876 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.3482 0.5907 0.000 0.684 0.000 0.000 0.000 0.316
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 0.9001 0.000 0.000 1.000 0.000 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.3101 0.6655 0.000 0.000 0.756 0.000 0.000 0.244
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0363 0.8850 0.000 0.988 0.000 0.000 0.000 0.012
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0603 0.8385 0.980 0.000 0.000 0.016 0.004 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0146 0.8875 0.000 0.996 0.000 0.000 0.000 0.004
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0363 0.8850 0.000 0.988 0.000 0.000 0.000 0.012
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.4619 0.3862 0.000 0.564 0.392 0.000 0.000 0.044
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.4736 0.6359 0.156 0.000 0.000 0.164 0.680 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 5 0.0363 0.8538 0.000 0.000 0.000 0.012 0.988 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.3636 0.4688 0.676 0.000 0.000 0.000 0.004 0.320
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.3727 0.4349 0.612 0.000 0.000 0.000 0.388 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.2257 0.7412 0.876 0.116 0.000 0.000 0.008 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.1957 0.8201 0.000 0.888 0.000 0.000 0.000 0.112
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 5 0.4152 0.5594 0.304 0.000 0.000 0.032 0.664 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.2260 0.5891 0.000 0.140 0.000 0.000 0.000 0.860
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 5 0.3578 0.4637 0.000 0.000 0.000 0.340 0.660 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.2823 0.6933 0.796 0.000 0.000 0.204 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0260 0.8422 0.992 0.000 0.000 0.008 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 6 0.3601 0.1209 0.004 0.000 0.312 0.000 0.000 0.684
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 6 0.0146 0.6679 0.004 0.000 0.000 0.000 0.000 0.996
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.3482 0.5907 0.000 0.684 0.000 0.000 0.000 0.316
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 6 0.3868 -0.1517 0.000 0.496 0.000 0.000 0.000 0.504
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.3789 0.3857 0.584 0.000 0.000 0.000 0.416 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0146 0.8443 0.996 0.000 0.000 0.000 0.004 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.3198 0.6371 0.740 0.000 0.000 0.000 0.260 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 6 0.0000 0.6715 0.000 0.000 0.000 0.000 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 6 0.0000 0.6715 0.000 0.000 0.000 0.000 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.9001 0.000 0.000 1.000 0.000 0.000 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 6 0.3690 0.1243 0.000 0.000 0.308 0.000 0.008 0.684
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.3151 0.6802 0.000 0.748 0.000 0.000 0.000 0.252
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 5 0.1075 0.8426 0.048 0.000 0.000 0.000 0.952 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0363 0.8850 0.000 0.988 0.000 0.000 0.000 0.012
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.3607 0.5353 0.000 0.652 0.000 0.000 0.000 0.348
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 6 0.2762 0.5115 0.000 0.196 0.000 0.000 0.000 0.804
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.3810 0.3511 0.000 0.572 0.000 0.000 0.000 0.428
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0146 0.8875 0.000 0.996 0.000 0.000 0.000 0.004
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.3923 0.2272 0.004 0.000 0.000 0.580 0.416 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 5 0.1327 0.8364 0.064 0.000 0.000 0.000 0.936 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 6 0.0000 0.6715 0.000 0.000 0.000 0.000 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0146 0.8875 0.000 0.996 0.000 0.000 0.000 0.004
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 6 0.0000 0.6715 0.000 0.000 0.000 0.000 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.4219 0.4170 0.592 0.000 0.020 0.000 0.388 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 5 0.3351 0.5745 0.000 0.000 0.000 0.288 0.712 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 6 0.5774 -0.0452 0.384 0.000 0.000 0.000 0.176 0.440
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.3789 0.3857 0.584 0.000 0.000 0.000 0.416 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.3789 0.4084 0.000 0.000 0.584 0.000 0.000 0.416
#> 6D960AE7-3769-4144-A061-E8588E5063FF 5 0.2941 0.6942 0.220 0.000 0.000 0.000 0.780 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 6 0.0000 0.6715 0.000 0.000 0.000 0.000 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.3944 0.2118 0.004 0.428 0.000 0.568 0.000 0.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.3482 0.5907 0.000 0.684 0.000 0.000 0.000 0.316
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.1075 0.8602 0.000 0.952 0.000 0.048 0.000 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 5 0.3740 0.7433 0.096 0.000 0.000 0.120 0.784 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0547 0.8390 0.980 0.000 0.000 0.000 0.020 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.5639 0.3233 0.536 0.000 0.000 0.212 0.252 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 5 0.2793 0.7065 0.000 0.000 0.000 0.200 0.800 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 6 0.3851 -0.0130 0.000 0.460 0.000 0.000 0.000 0.540
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.1327 0.8435 0.000 0.936 0.000 0.000 0.000 0.064
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0260 0.8437 0.992 0.000 0.000 0.000 0.008 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 5 0.2730 0.7338 0.192 0.000 0.000 0.000 0.808 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 6 0.0000 0.6715 0.000 0.000 0.000 0.000 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.3482 0.5907 0.000 0.684 0.000 0.000 0.000 0.316
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 6 0.4952 0.0122 0.068 0.000 0.000 0.000 0.408 0.524
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 6 0.0000 0.6715 0.000 0.000 0.000 0.000 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 5 0.1957 0.7961 0.112 0.000 0.000 0.000 0.888 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 4 0.5248 0.1471 0.100 0.000 0.000 0.512 0.388 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 4 0.1814 0.7625 0.100 0.000 0.000 0.900 0.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 5 0.3101 0.6584 0.244 0.000 0.000 0.000 0.756 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 6 0.0000 0.6715 0.000 0.000 0.000 0.000 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0000 0.9001 0.000 0.000 1.000 0.000 0.000 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.1765 0.7994 0.904 0.000 0.000 0.000 0.096 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 6 0.3684 0.2900 0.000 0.372 0.000 0.000 0.000 0.628
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0260 0.8864 0.000 0.992 0.000 0.000 0.000 0.008
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.5002 0.2945 0.516 0.000 0.000 0.072 0.412 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.1714 0.8013 0.908 0.000 0.000 0.000 0.092 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.3867 0.1617 0.000 0.512 0.000 0.000 0.000 0.488
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0146 0.8448 0.996 0.000 0.000 0.000 0.004 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 6 0.0000 0.6715 0.000 0.000 0.000 0.000 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.3695 0.3347 0.624 0.000 0.000 0.376 0.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.3789 0.3857 0.584 0.000 0.000 0.000 0.416 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.2854 0.7337 0.000 0.792 0.000 0.000 0.000 0.208
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.2092 0.7251 0.124 0.000 0.000 0.876 0.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 5 0.3547 0.5090 0.332 0.000 0.000 0.000 0.668 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0260 0.8864 0.000 0.992 0.000 0.000 0.000 0.008
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.3592 0.5464 0.000 0.656 0.000 0.000 0.000 0.344
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.3742 0.3757 0.000 0.348 0.000 0.648 0.000 0.004
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.1863 0.8168 0.000 0.896 0.104 0.000 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.1765 0.7994 0.904 0.000 0.000 0.000 0.096 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.3867 0.1830 0.000 0.512 0.000 0.000 0.000 0.488
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0000 0.9001 0.000 0.000 1.000 0.000 0.000 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0146 0.8875 0.000 0.996 0.000 0.000 0.000 0.004
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 6 0.0000 0.6715 0.000 0.000 0.000 0.000 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 6 0.2219 0.5921 0.000 0.136 0.000 0.000 0.000 0.864
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 5 0.3371 0.5769 0.292 0.000 0.000 0.000 0.708 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.3175 0.5560 0.000 0.000 0.000 0.744 0.256 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.2491 0.7773 0.000 0.836 0.000 0.000 0.000 0.164
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0146 0.8448 0.996 0.000 0.000 0.000 0.004 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.1814 0.8329 0.000 0.900 0.000 0.000 0.000 0.100
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.5091 0.2786 0.504 0.000 0.000 0.080 0.416 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 5 0.2416 0.7751 0.156 0.000 0.000 0.000 0.844 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.3482 0.5907 0.000 0.684 0.000 0.000 0.000 0.316
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.9001 0.000 0.000 1.000 0.000 0.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0260 0.8865 0.000 0.992 0.000 0.000 0.000 0.008
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.8883 0.000 1.000 0.000 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.8608 0.000 0.000 0.000 1.000 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 2 0.6063 0.1012 0.000 0.460 0.348 0.012 0.180 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0260 0.8864 0.000 0.992 0.000 0.000 0.000 0.008
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.3695 0.3478 0.000 0.000 0.000 0.376 0.624 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.8454 1.000 0.000 0.000 0.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.1714 0.8386 0.000 0.908 0.000 0.000 0.000 0.092
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.2378 0.7868 0.000 0.848 0.000 0.000 0.000 0.152
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 5 0.0000 0.8583 0.000 0.000 0.000 0.000 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.3607 0.3526 0.000 0.348 0.000 0.000 0.000 0.652
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2178 0.7771 0.868 0.000 0.000 0.000 0.132 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "mclust"]
# you can also extract it by
# res = res_list["MAD:mclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.910 0.953 0.981 0.5012 0.498 0.498
#> 3 3 0.790 0.834 0.922 0.1988 0.872 0.748
#> 4 4 0.776 0.699 0.848 0.0885 0.923 0.819
#> 5 5 0.627 0.334 0.656 0.1150 0.840 0.606
#> 6 6 0.685 0.654 0.786 0.0655 0.809 0.419
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.000 0.971 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.000 0.988 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.000 0.971 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.000 0.988 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.000 0.971 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.000 0.988 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.000 0.971 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.706 0.779 0.192 0.808
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.000 0.971 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.000 0.988 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.000 0.988 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.000 0.988 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.000 0.971 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.706 0.779 0.192 0.808
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.388 0.906 0.076 0.924
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.000 0.988 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.000 0.971 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.000 0.988 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.000 0.971 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.000 0.971 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.000 0.988 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.000 0.971 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.000 0.988 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.000 0.988 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.000 0.988 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.000 0.971 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.000 0.988 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.000 0.988 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.000 0.988 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.469 0.877 0.900 0.100
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.000 0.971 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.000 0.988 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.000 0.971 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.000 0.988 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.000 0.988 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.000 0.988 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.000 0.971 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.000 0.971 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.000 0.988 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.000 0.988 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.000 0.988 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.000 0.971 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.706 0.779 0.192 0.808
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.000 0.971 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.000 0.971 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.000 0.988 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.000 0.988 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.000 0.971 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.000 0.971 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.000 0.971 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.000 0.988 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.000 0.988 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.000 0.988 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.000 0.988 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.000 0.988 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.000 0.971 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.000 0.988 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.000 0.988 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.000 0.971 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.706 0.779 0.192 0.808
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.000 0.988 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 2 0.969 0.384 0.396 0.604
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.000 0.971 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.000 0.988 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.000 0.971 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.000 0.988 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.000 0.988 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.000 0.971 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.000 0.971 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.000 0.971 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.000 0.971 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.000 0.988 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.000 0.988 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.000 0.971 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.000 0.988 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.000 0.988 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.000 0.971 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.000 0.971 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.000 0.988 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.000 0.971 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.000 0.988 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.000 0.971 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.000 0.971 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.000 0.971 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.000 0.988 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.000 0.988 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.000 0.988 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.358 0.916 0.932 0.068
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.000 0.988 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.000 0.988 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.000 0.988 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 2 0.969 0.384 0.396 0.604
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.000 0.988 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.000 0.971 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.738 0.753 0.208 0.792
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.000 0.971 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.000 0.971 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.402 0.902 0.080 0.920
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.000 0.988 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.000 0.988 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.000 0.988 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.000 0.988 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.000 0.988 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.000 0.971 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.000 0.971 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.000 0.971 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.000 0.971 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.000 0.988 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.000 0.988 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.000 0.971 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.000 0.988 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.000 0.971 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.000 0.971 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 1.000 -0.023 0.512 0.488
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.000 0.971 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.000 0.971 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.000 0.971 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.000 0.988 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.000 0.988 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.000 0.971 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.000 0.988 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.000 0.988 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.000 0.988 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.000 0.988 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.000 0.988 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.000 0.988 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.000 0.988 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.000 0.971 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.706 0.779 0.192 0.808
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.000 0.971 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.000 0.988 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.000 0.988 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.000 0.988 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.000 0.971 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.000 0.971 0.000 1.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.000 0.988 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.000 0.971 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.000 0.988 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.000 0.971 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.000 0.988 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.000 0.971 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.000 0.988 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.000 0.988 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.000 0.988 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.000 0.988 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.000 0.988 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.000 0.971 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.000 0.971 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.000 0.988 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.000 0.971 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.000 0.988 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.000 0.971 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.000 0.971 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.000 0.971 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.000 0.988 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.000 0.971 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.000 0.971 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.000 0.988 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.000 0.971 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.000 0.971 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.706 0.779 0.192 0.808
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.000 0.971 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.000 0.988 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.000 0.971 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.000 0.971 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.000 0.971 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.000 0.971 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.000 0.988 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.000 0.988 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.671 0.797 0.176 0.824
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.260 0.943 0.956 0.044
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.000 0.971 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.000 0.988 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.000 0.988 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.000 0.971 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.000 0.988 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.000 0.971 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.000 0.971 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.000 0.988 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.000 0.988 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.000 0.971 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.000 0.988 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.000 0.971 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.000 0.988 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.706 0.779 0.192 0.808
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.000 0.971 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.000 0.971 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.000 0.988 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.000 0.988 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.999 0.016 0.520 0.480
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.000 0.971 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.000 0.988 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.000 0.988 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.000 0.971 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.000 0.971 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.000 0.988 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.000 0.971 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.000 0.988 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.95097 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.3941 0.76285 0.844 0.000 0.156
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.95097 0.000 1.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.95196 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.95097 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.95196 1.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.95097 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.4346 0.59724 0.000 0.184 0.816
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.6252 0.27445 0.000 0.556 0.444
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0747 0.93574 0.984 0.000 0.016
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.95196 1.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.5058 0.61290 0.756 0.000 0.244
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.95097 0.000 1.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.4346 0.59724 0.000 0.184 0.816
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.6126 0.30229 0.000 0.400 0.600
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.95196 1.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.95097 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.95196 1.000 0.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.1163 0.92950 0.000 0.972 0.028
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.95097 0.000 1.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.6274 -0.09083 0.544 0.000 0.456
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.6192 0.16125 0.000 0.580 0.420
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.95196 1.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.95196 1.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.95196 1.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.95097 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.5905 0.21325 0.648 0.000 0.352
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3941 0.76285 0.844 0.000 0.156
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0424 0.94425 0.992 0.000 0.008
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.6737 0.07236 0.600 0.016 0.384
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.95097 0.000 1.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.95196 1.000 0.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.95097 0.000 1.000 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.95196 1.000 0.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.95196 1.000 0.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.95196 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.95097 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.95097 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.1031 0.92875 0.976 0.000 0.024
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.95196 1.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.95196 1.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.95097 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.5406 0.59271 0.020 0.200 0.780
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.95097 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.6215 0.13970 0.000 0.572 0.428
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.95196 1.000 0.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.95196 1.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.95097 0.000 1.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.95097 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.95097 0.000 1.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.95196 1.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.95196 1.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.95196 1.000 0.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.95196 1.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0000 0.95196 1.000 0.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.95097 0.000 1.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 3 0.6260 0.38497 0.448 0.000 0.552
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 3 0.6252 0.39436 0.444 0.000 0.556
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 0.95097 0.000 1.000 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.4654 0.57861 0.000 0.208 0.792
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.95196 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.5708 0.61593 0.204 0.028 0.768
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.95097 0.000 1.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.95196 1.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.95097 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.95196 1.000 0.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.95196 1.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.95097 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.95097 0.000 1.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.95097 0.000 1.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.95097 0.000 1.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 3 0.6252 0.39436 0.444 0.000 0.556
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0237 0.94818 0.996 0.000 0.004
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.1529 0.92080 0.000 0.960 0.040
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.3941 0.76285 0.844 0.000 0.156
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.95196 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.95097 0.000 1.000 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.95097 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 3 0.6252 0.39436 0.444 0.000 0.556
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.95097 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 0.95196 1.000 0.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.95097 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.95097 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.1163 0.92657 0.000 0.972 0.028
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0747 0.93574 0.984 0.000 0.016
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.3941 0.76285 0.844 0.000 0.156
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.95196 1.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.6764 0.64032 0.108 0.148 0.744
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 0.95196 1.000 0.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.95196 1.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0000 0.95196 1.000 0.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.5708 0.61593 0.204 0.028 0.768
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.95196 1.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0237 0.94785 0.000 0.996 0.004
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.5178 0.51371 0.000 0.256 0.744
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.95097 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.95097 0.000 1.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 3 0.5905 0.33541 0.000 0.352 0.648
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.95196 1.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.95196 1.000 0.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.95196 1.000 0.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.95196 1.000 0.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.3619 0.79141 0.864 0.000 0.136
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.95097 0.000 1.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.95097 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.95097 0.000 1.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.95097 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.95196 1.000 0.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.95196 1.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.95097 0.000 1.000 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.95196 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.95097 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.95097 0.000 1.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.6192 0.41591 0.420 0.000 0.580
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.1163 0.92950 0.000 0.972 0.028
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.95097 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.95097 0.000 1.000 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.3941 0.76285 0.844 0.000 0.156
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 3 0.6252 0.39436 0.444 0.000 0.556
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.1163 0.92950 0.000 0.972 0.028
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.95196 1.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.6140 0.00436 0.596 0.000 0.404
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0424 0.94425 0.992 0.000 0.008
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.95196 1.000 0.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0747 0.93791 0.984 0.000 0.016
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 3 0.6260 0.38497 0.448 0.000 0.552
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.95196 1.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 0.95097 0.000 1.000 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.4346 0.59724 0.000 0.184 0.816
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.95097 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.95196 1.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.95196 1.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.95196 1.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.95097 0.000 1.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.3941 0.78876 0.000 0.844 0.156
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.95196 1.000 0.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.95097 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.95196 1.000 0.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.95097 0.000 1.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.95196 1.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 0.95097 0.000 1.000 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.95196 1.000 0.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.95196 1.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.95196 1.000 0.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.95196 1.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.95196 1.000 0.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.95097 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.1163 0.92950 0.000 0.972 0.028
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.3482 0.78456 0.872 0.000 0.128
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.95097 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.95196 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.1753 0.91413 0.000 0.952 0.048
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.95097 0.000 1.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.5178 0.51371 0.000 0.256 0.744
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.95196 1.000 0.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.95097 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.95097 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.95196 1.000 0.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0237 0.94809 0.000 0.996 0.004
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.95097 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.4346 0.59724 0.000 0.184 0.816
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.95097 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.95196 1.000 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.1163 0.92950 0.000 0.972 0.028
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.5785 0.53247 0.000 0.668 0.332
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.95097 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.6215 0.13970 0.000 0.572 0.428
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.95196 1.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 3 0.6252 0.39436 0.444 0.000 0.556
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.5178 0.51371 0.000 0.256 0.744
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.6775 0.64315 0.112 0.144 0.744
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.95097 0.000 1.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.95196 1.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.3941 0.76285 0.844 0.000 0.156
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.95097 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.95196 1.000 0.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.95097 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.95097 0.000 1.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.95196 1.000 0.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.95196 1.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.95097 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.95196 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.95097 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 3 0.6291 0.32890 0.468 0.000 0.532
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.4346 0.59724 0.000 0.184 0.816
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.5706 0.55318 0.000 0.680 0.320
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.95097 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 3 0.6252 0.39436 0.444 0.000 0.556
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.95196 1.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.6869 0.41646 0.424 0.016 0.560
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.3340 0.83173 0.000 0.880 0.120
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.95196 1.000 0.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.95196 1.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.5678 0.55975 0.000 0.684 0.316
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.5678 0.55975 0.000 0.684 0.316
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.95196 1.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.95097 0.000 1.000 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.95196 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.5408 0.4887 0.000 0.500 0.012 0.488
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.2483 0.8853 0.916 0.000 0.032 0.052
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.6845 0.000 1.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.9218 1.000 0.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.6845 0.000 1.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.9218 1.000 0.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.4790 0.6371 0.000 0.620 0.000 0.380
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#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.9218 1.000 0.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.2644 0.8796 0.908 0.000 0.032 0.060
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.6845 0.000 1.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.1610 0.9023 0.952 0.000 0.032 0.016
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.4790 0.6371 0.000 0.620 0.000 0.380
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.6845 0.000 1.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.1724 0.8998 0.948 0.000 0.032 0.020
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.9218 1.000 0.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.4790 0.6371 0.000 0.620 0.000 0.380
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.9218 1.000 0.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0817 0.6844 0.000 0.976 0.000 0.024
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.4655 0.7201 0.760 0.000 0.032 0.208
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.1389 0.7289 0.000 0.048 0.952 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 4 0.5512 0.4821 0.000 0.488 0.016 0.496
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.4790 0.6371 0.000 0.620 0.000 0.380
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.6822 0.1232 0.512 0.000 0.384 0.104
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0592 0.9177 0.984 0.000 0.016 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.6517 0.5030 0.204 0.024 0.676 0.096
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.3808 0.3991 0.000 0.812 0.012 0.176
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.1406 0.9101 0.960 0.000 0.024 0.016
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.9218 1.000 0.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 4 0.5409 0.4774 0.000 0.492 0.012 0.496
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.5313 -0.2728 0.000 0.608 0.016 0.376
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0921 0.9126 0.972 0.000 0.028 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.1256 0.6668 0.000 0.964 0.028 0.008
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.9218 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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 5 0.6300 0.63740 0.000 0.336 0.168 0.000 0.496
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.3876 0.36672 0.316 0.000 0.000 0.684 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0162 0.54393 0.000 0.996 0.000 0.000 0.004
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.4088 0.60770 0.632 0.000 0.000 0.368 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0451 0.54576 0.000 0.988 0.008 0.000 0.004
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.4242 0.52669 0.572 0.000 0.000 0.428 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.4294 -0.55360 0.000 0.532 0.000 0.000 0.468
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.4307 0.64909 0.000 0.000 0.504 0.000 0.496
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 3 0.5941 0.36172 0.000 0.372 0.532 0.008 0.088
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.2536 0.38026 0.904 0.000 0.052 0.032 0.012
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.3895 0.59140 0.680 0.000 0.000 0.320 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.1892 0.53699 0.080 0.000 0.000 0.916 0.004
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.1478 0.50086 0.000 0.936 0.000 0.000 0.064
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.4307 0.64909 0.000 0.000 0.504 0.000 0.496
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.6388 0.51149 0.000 0.192 0.496 0.000 0.312
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.4045 0.61300 0.644 0.000 0.000 0.356 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.4278 -0.53209 0.000 0.548 0.000 0.000 0.452
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0451 0.46740 0.988 0.000 0.004 0.008 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 5 0.6565 0.48667 0.000 0.248 0.280 0.000 0.472
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0162 0.54393 0.000 0.996 0.000 0.000 0.004
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.2338 0.54362 0.112 0.000 0.000 0.884 0.004
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.5510 0.06801 0.000 0.652 0.164 0.000 0.184
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 4 0.4114 0.21963 0.376 0.000 0.000 0.624 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 4 0.3816 0.38495 0.304 0.000 0.000 0.696 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.3949 0.61562 0.668 0.000 0.000 0.332 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.4452 -0.64671 0.000 0.500 0.004 0.000 0.496
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.3659 0.31775 0.768 0.000 0.220 0.012 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 4 0.4138 0.22563 0.384 0.000 0.000 0.616 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0451 0.46829 0.988 0.000 0.008 0.000 0.004
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.3011 0.35030 0.876 0.000 0.076 0.036 0.012
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.3003 0.32535 0.000 0.812 0.000 0.000 0.188
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 4 0.4300 -0.12640 0.476 0.000 0.000 0.524 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0510 0.54554 0.000 0.984 0.016 0.000 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 4 0.4015 0.42841 0.348 0.000 0.000 0.652 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 4 0.3816 0.47935 0.304 0.000 0.000 0.696 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.4088 0.60803 0.632 0.000 0.000 0.368 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.4830 -0.67548 0.000 0.492 0.020 0.000 0.488
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 5 0.4659 0.63454 0.000 0.492 0.012 0.000 0.496
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.4030 0.28676 0.352 0.000 0.000 0.648 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.4305 -0.35248 0.488 0.000 0.000 0.512 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.4256 0.52188 0.564 0.000 0.000 0.436 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.4656 -0.62231 0.000 0.508 0.012 0.000 0.480
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.4803 0.64748 0.012 0.000 0.496 0.004 0.488
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 5 0.4452 0.62219 0.000 0.496 0.004 0.000 0.500
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.4890 0.15787 0.000 0.628 0.340 0.008 0.024
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.4256 0.50856 0.564 0.000 0.000 0.436 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 4 0.4287 -0.25283 0.460 0.000 0.000 0.540 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0510 0.53795 0.000 0.984 0.000 0.000 0.016
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 5 0.5238 0.68653 0.000 0.472 0.044 0.000 0.484
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0510 0.54554 0.000 0.984 0.016 0.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.4192 0.56373 0.596 0.000 0.000 0.404 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.4060 0.61184 0.640 0.000 0.000 0.360 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.2648 0.55200 0.152 0.000 0.000 0.848 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.4138 0.59447 0.616 0.000 0.000 0.384 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.1410 0.46292 0.940 0.000 0.060 0.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0404 0.54600 0.000 0.988 0.012 0.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.3304 0.52376 0.092 0.000 0.052 0.852 0.004
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.4283 0.40977 0.080 0.000 0.136 0.780 0.004
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0510 0.54554 0.000 0.984 0.016 0.000 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.4451 0.64848 0.004 0.000 0.504 0.000 0.492
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.4074 0.61008 0.636 0.000 0.000 0.364 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.5122 0.64335 0.028 0.000 0.496 0.004 0.472
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.54534 0.000 1.000 0.000 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.4307 0.37162 0.504 0.000 0.000 0.496 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 5 0.5644 0.70596 0.000 0.440 0.076 0.000 0.484
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.4219 0.31492 0.584 0.000 0.000 0.416 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.4304 0.40711 0.516 0.000 0.000 0.484 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.4294 -0.55360 0.000 0.532 0.000 0.000 0.468
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0510 0.54554 0.000 0.984 0.016 0.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.54534 0.000 1.000 0.000 0.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.1732 0.48398 0.000 0.920 0.000 0.000 0.080
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.5503 0.30805 0.092 0.000 0.272 0.632 0.004
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.1282 0.44568 0.952 0.000 0.004 0.044 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.4337 0.31617 0.000 0.748 0.196 0.000 0.056
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.4150 0.22256 0.388 0.000 0.000 0.612 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.4101 0.60556 0.628 0.000 0.000 0.372 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0671 0.54414 0.000 0.980 0.016 0.004 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.4305 -0.61097 0.000 0.512 0.000 0.000 0.488
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.6586 0.20157 0.196 0.000 0.324 0.476 0.004
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.4452 -0.64671 0.000 0.500 0.004 0.000 0.496
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.4161 0.58047 0.608 0.000 0.000 0.392 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.4450 -0.62169 0.000 0.508 0.004 0.000 0.488
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 5 0.5604 0.69774 0.000 0.456 0.072 0.000 0.472
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.1117 0.53743 0.000 0.964 0.020 0.000 0.016
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.1907 0.41571 0.928 0.000 0.044 0.000 0.028
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.3003 0.51100 0.188 0.000 0.000 0.812 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 4 0.3816 0.38488 0.304 0.000 0.000 0.696 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.4713 0.53059 0.088 0.008 0.788 0.084 0.032
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0162 0.47388 0.996 0.000 0.004 0.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.4268 0.49160 0.556 0.000 0.000 0.444 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.1041 0.49159 0.964 0.000 0.004 0.032 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.5050 0.64475 0.024 0.000 0.496 0.004 0.476
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.3480 0.59679 0.752 0.000 0.000 0.248 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.1179 0.53538 0.000 0.964 0.016 0.004 0.016
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.5171 0.53324 0.004 0.180 0.724 0.020 0.072
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.4294 -0.55360 0.000 0.532 0.000 0.000 0.468
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.54534 0.000 1.000 0.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 3 0.5691 0.35884 0.000 0.376 0.536 0.000 0.088
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.3837 0.61144 0.692 0.000 0.000 0.308 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.4383 0.19409 0.572 0.000 0.004 0.424 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.4219 0.54941 0.584 0.000 0.000 0.416 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 4 0.4101 0.22461 0.372 0.000 0.000 0.628 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 4 0.3796 0.39058 0.300 0.000 0.000 0.700 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0510 0.54554 0.000 0.984 0.016 0.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.4747 -0.65420 0.000 0.496 0.016 0.000 0.488
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0771 0.54606 0.000 0.976 0.020 0.000 0.004
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.4297 -0.56510 0.000 0.528 0.000 0.000 0.472
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.2852 0.55793 0.828 0.000 0.000 0.172 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.4114 0.60420 0.624 0.000 0.000 0.376 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0510 0.54554 0.000 0.984 0.016 0.000 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.4101 0.60668 0.628 0.000 0.000 0.372 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.3837 -0.05403 0.000 0.692 0.000 0.000 0.308
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.54534 0.000 1.000 0.000 0.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.5997 -0.07789 0.560 0.000 0.316 0.004 0.120
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.3940 0.26343 0.000 0.756 0.024 0.000 0.220
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.4452 -0.64671 0.000 0.500 0.004 0.000 0.496
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.1372 0.52937 0.000 0.956 0.016 0.004 0.024
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.2891 0.54385 0.176 0.000 0.000 0.824 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.4339 0.40492 0.084 0.000 0.136 0.776 0.004
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 5 0.5234 0.69850 0.000 0.460 0.044 0.000 0.496
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.4074 0.61008 0.636 0.000 0.000 0.364 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.5474 0.04832 0.576 0.000 0.348 0.076 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.1357 0.44842 0.948 0.000 0.004 0.048 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.4150 0.58461 0.612 0.000 0.000 0.388 0.000
#> D005833F-E991-4E9E-9667-55F137288004 4 0.1282 0.54748 0.044 0.000 0.000 0.952 0.004
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.3636 0.48758 0.080 0.000 0.084 0.832 0.004
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.4242 0.53366 0.572 0.000 0.000 0.428 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0671 0.54414 0.000 0.980 0.016 0.004 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.4307 0.64909 0.000 0.000 0.504 0.000 0.496
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.4552 -0.57830 0.000 0.524 0.008 0.000 0.468
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0162 0.47388 0.996 0.000 0.004 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.3366 0.55823 0.784 0.000 0.004 0.212 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.4262 0.49982 0.560 0.000 0.000 0.440 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0912 0.54030 0.000 0.972 0.016 0.000 0.012
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.4657 0.21009 0.000 0.668 0.296 0.000 0.036
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.1251 0.43581 0.956 0.000 0.008 0.036 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.4302 -0.58951 0.000 0.520 0.000 0.000 0.480
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.4015 0.61465 0.652 0.000 0.000 0.348 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.54534 0.000 1.000 0.000 0.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.4030 0.61469 0.648 0.000 0.000 0.352 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.1571 0.52394 0.000 0.936 0.060 0.004 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.3636 0.42458 0.272 0.000 0.000 0.728 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.4302 0.40630 0.520 0.000 0.000 0.480 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.2629 0.53348 0.860 0.000 0.004 0.136 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 4 0.4045 0.27807 0.356 0.000 0.000 0.644 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.4015 0.61465 0.652 0.000 0.000 0.348 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.4242 -0.47628 0.000 0.572 0.000 0.000 0.428
#> 64552DC0-181E-4607-898C-787AA7F26435 5 0.6471 0.57328 0.000 0.268 0.236 0.000 0.496
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.2068 0.55155 0.092 0.000 0.000 0.904 0.004
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.4294 -0.55360 0.000 0.532 0.000 0.000 0.468
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.4294 0.43520 0.532 0.000 0.000 0.468 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 3 0.6370 0.18310 0.000 0.404 0.432 0.000 0.164
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.1908 0.47548 0.000 0.908 0.000 0.000 0.092
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.4988 0.51879 0.000 0.192 0.716 0.008 0.084
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.4138 0.58949 0.616 0.000 0.000 0.384 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.5206 -0.55382 0.000 0.528 0.044 0.000 0.428
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.4297 -0.56510 0.000 0.528 0.000 0.000 0.472
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.3074 0.56266 0.804 0.000 0.000 0.196 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.1341 0.50530 0.000 0.944 0.000 0.000 0.056
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.4307 -0.64767 0.000 0.500 0.000 0.000 0.500
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.4307 0.64909 0.000 0.000 0.504 0.000 0.496
#> 4464650B-453F-476C-989C-B7B159BF2CF0 5 0.4906 0.66576 0.000 0.480 0.024 0.000 0.496
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.4294 -0.28248 0.468 0.000 0.000 0.532 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 5 0.6476 0.59024 0.000 0.320 0.204 0.000 0.476
#> 642703B1-AF99-4746-A915-0792F4B9590B 3 0.5785 0.31135 0.000 0.404 0.504 0.000 0.092
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.4304 -0.59905 0.000 0.516 0.000 0.000 0.484
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.4046 0.22418 0.000 0.696 0.296 0.008 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.4060 0.61192 0.640 0.000 0.000 0.360 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.4339 0.40492 0.084 0.000 0.136 0.776 0.004
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.4085 0.55025 0.000 0.104 0.804 0.008 0.084
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.4887 0.50336 0.112 0.000 0.756 0.108 0.024
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0671 0.54414 0.000 0.980 0.016 0.004 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.4287 0.45761 0.540 0.000 0.000 0.460 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.2891 0.54412 0.176 0.000 0.000 0.824 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0162 0.54393 0.000 0.996 0.000 0.000 0.004
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0807 0.48066 0.976 0.000 0.012 0.012 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.4443 -0.57803 0.000 0.524 0.004 0.000 0.472
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.1121 0.51981 0.000 0.956 0.000 0.000 0.044
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0162 0.47388 0.996 0.000 0.004 0.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.4201 0.55870 0.592 0.000 0.000 0.408 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.4294 -0.55360 0.000 0.532 0.000 0.000 0.468
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.4126 0.60168 0.620 0.000 0.000 0.380 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.2424 0.41475 0.000 0.868 0.000 0.000 0.132
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.2011 0.53435 0.088 0.000 0.000 0.908 0.004
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.4307 0.64909 0.000 0.000 0.504 0.000 0.496
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 3 0.5778 0.23902 0.000 0.452 0.460 0.000 0.088
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.4448 -0.59854 0.000 0.516 0.004 0.000 0.480
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.5503 0.30805 0.092 0.000 0.272 0.632 0.004
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.3636 0.60486 0.728 0.000 0.000 0.272 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.6843 0.03075 0.592 0.088 0.252 0.036 0.032
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.4021 0.31270 0.000 0.764 0.200 0.000 0.036
#> 26311920-1414-4EC1-870B-784961EBCC2D 4 0.3983 0.29823 0.340 0.000 0.000 0.660 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.4182 0.57541 0.600 0.000 0.000 0.400 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.5641 0.00281 0.000 0.556 0.356 0.000 0.088
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.4907 0.23215 0.000 0.664 0.280 0.000 0.056
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.3366 0.56756 0.784 0.000 0.004 0.212 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.1571 0.52394 0.000 0.936 0.060 0.004 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.4182 0.57446 0.600 0.000 0.000 0.400 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0951 0.9015 0.000 0.968 0.008 0.004 0.000 0.020
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.2730 0.5580 0.808 0.000 0.000 0.192 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 6 0.2871 0.7595 0.000 0.192 0.000 0.000 0.004 0.804
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1957 0.7475 0.888 0.000 0.000 0.000 0.112 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 6 0.2805 0.7609 0.000 0.184 0.000 0.000 0.004 0.812
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0146 0.7762 0.996 0.000 0.000 0.000 0.004 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0146 0.9115 0.000 0.996 0.000 0.000 0.000 0.004
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.4818 0.6938 0.000 0.004 0.664 0.232 0.100 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 6 0.5362 0.4853 0.000 0.068 0.340 0.012 0.008 0.572
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.1913 0.6494 0.080 0.000 0.000 0.012 0.908 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.1257 0.7636 0.952 0.000 0.000 0.028 0.020 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.4191 0.7906 0.240 0.000 0.000 0.704 0.056 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.3851 -0.1746 0.000 0.540 0.000 0.000 0.000 0.460
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.5097 0.6926 0.000 0.004 0.664 0.232 0.080 0.020
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.6210 0.4919 0.000 0.144 0.540 0.020 0.016 0.280
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.1444 0.7654 0.928 0.000 0.000 0.000 0.072 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0865 0.8886 0.000 0.964 0.000 0.000 0.000 0.036
#> 825E6C11-F460-451A-8045-846DD7D0E945 5 0.3109 0.7374 0.224 0.000 0.000 0.004 0.772 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.2572 0.7933 0.000 0.852 0.012 0.000 0.000 0.136
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 6 0.3668 0.6603 0.000 0.328 0.000 0.000 0.004 0.668
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.4129 0.6652 0.424 0.000 0.000 0.564 0.012 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.5542 0.1931 0.000 0.528 0.336 0.004 0.000 0.132
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.2697 0.5462 0.812 0.000 0.000 0.188 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.3126 0.4163 0.752 0.000 0.000 0.248 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.1957 0.7461 0.888 0.000 0.000 0.000 0.112 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0291 0.9103 0.000 0.992 0.004 0.004 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 5 0.4631 0.6219 0.352 0.000 0.052 0.000 0.596 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.5325 0.2624 0.548 0.000 0.000 0.124 0.328 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 5 0.2135 0.6956 0.128 0.000 0.000 0.000 0.872 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 5 0.2729 0.6455 0.088 0.000 0.024 0.016 0.872 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.3841 0.1370 0.000 0.616 0.000 0.004 0.000 0.380
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1700 0.7467 0.928 0.000 0.000 0.048 0.024 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.1327 0.7543 0.000 0.064 0.000 0.000 0.000 0.936
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.4704 -0.0501 0.628 0.000 0.000 0.300 0.072 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 4 0.5507 0.5744 0.424 0.000 0.000 0.448 0.128 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0146 0.7762 0.996 0.000 0.000 0.000 0.004 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0622 0.9073 0.000 0.980 0.008 0.000 0.000 0.012
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0146 0.9114 0.000 0.996 0.000 0.004 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.2664 0.5710 0.816 0.000 0.000 0.184 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0713 0.7685 0.972 0.000 0.000 0.028 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.1082 0.7772 0.956 0.000 0.000 0.004 0.040 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0551 0.9080 0.000 0.984 0.008 0.004 0.000 0.004
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.6185 0.6418 0.000 0.000 0.504 0.192 0.280 0.024
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0405 0.9100 0.000 0.988 0.008 0.000 0.000 0.004
#> 51061018-95AB-4278-886F-F69E4EBC47C0 6 0.4780 -0.0997 0.000 0.044 0.408 0.000 0.004 0.544
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.1082 0.7772 0.956 0.000 0.000 0.004 0.040 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.1196 0.7772 0.952 0.000 0.000 0.008 0.040 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 6 0.3578 0.6477 0.000 0.340 0.000 0.000 0.000 0.660
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0146 0.9115 0.000 0.996 0.000 0.000 0.000 0.004
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 6 0.1007 0.7474 0.000 0.044 0.000 0.000 0.000 0.956
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0632 0.7788 0.976 0.000 0.000 0.000 0.024 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.1387 0.7718 0.932 0.000 0.000 0.000 0.068 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.4161 0.6285 0.448 0.000 0.000 0.540 0.012 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.7766 1.000 0.000 0.000 0.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 5 0.3428 0.6982 0.304 0.000 0.000 0.000 0.696 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 6 0.1663 0.7586 0.000 0.088 0.000 0.000 0.000 0.912
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.4234 0.8021 0.280 0.000 0.000 0.676 0.044 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.4249 0.8019 0.260 0.000 0.000 0.688 0.052 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 6 0.1141 0.7507 0.000 0.052 0.000 0.000 0.000 0.948
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.4764 0.6936 0.000 0.000 0.660 0.232 0.108 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.1327 0.7700 0.936 0.000 0.000 0.000 0.064 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.5788 0.6280 0.000 0.000 0.488 0.204 0.308 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 6 0.2703 0.7620 0.000 0.172 0.000 0.000 0.004 0.824
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.1556 0.7244 0.920 0.000 0.000 0.080 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0622 0.9065 0.000 0.980 0.008 0.000 0.000 0.012
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.5027 0.2663 0.640 0.000 0.000 0.200 0.160 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.1010 0.7778 0.960 0.000 0.000 0.004 0.036 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0146 0.9115 0.000 0.996 0.000 0.000 0.000 0.004
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 6 0.1556 0.7592 0.000 0.080 0.000 0.000 0.000 0.920
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 6 0.3515 0.6641 0.000 0.324 0.000 0.000 0.000 0.676
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.3868 -0.2709 0.000 0.508 0.000 0.000 0.000 0.492
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.6983 0.3772 0.224 0.000 0.328 0.380 0.068 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 5 0.4045 0.6954 0.268 0.000 0.000 0.036 0.696 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 6 0.4385 0.6255 0.000 0.328 0.032 0.000 0.004 0.636
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.5502 0.1525 0.500 0.000 0.000 0.136 0.364 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.7766 1.000 0.000 0.000 0.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 6 0.1007 0.7474 0.000 0.044 0.000 0.000 0.000 0.956
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0436 0.9110 0.000 0.988 0.004 0.004 0.000 0.004
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#> 642703B1-AF99-4746-A915-0792F4B9590B 6 0.5383 0.6051 0.000 0.144 0.236 0.004 0.004 0.612
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0291 0.9113 0.000 0.992 0.000 0.004 0.000 0.004
#> 765AFFC1-D528-4494-8BA1-0706451E4205 6 0.4561 -0.0578 0.000 0.040 0.392 0.000 0.000 0.568
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2003 0.7454 0.884 0.000 0.000 0.000 0.116 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.4247 0.7905 0.240 0.000 0.000 0.700 0.060 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.5011 0.5231 0.000 0.040 0.720 0.032 0.036 0.172
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.4944 0.5456 0.008 0.004 0.724 0.128 0.116 0.020
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 6 0.1007 0.7474 0.000 0.044 0.000 0.000 0.000 0.956
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0858 0.7675 0.968 0.000 0.000 0.028 0.004 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.5044 0.7578 0.320 0.000 0.000 0.584 0.096 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 6 0.3634 0.6257 0.000 0.356 0.000 0.000 0.000 0.644
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 5 0.3531 0.6665 0.328 0.000 0.000 0.000 0.672 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0146 0.9115 0.000 0.996 0.000 0.000 0.000 0.004
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 6 0.3860 0.3616 0.000 0.472 0.000 0.000 0.000 0.528
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 5 0.2838 0.7408 0.188 0.000 0.000 0.004 0.808 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.1010 0.7773 0.960 0.000 0.000 0.004 0.036 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0146 0.9114 0.000 0.996 0.000 0.004 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0692 0.7710 0.976 0.000 0.000 0.020 0.004 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.2219 0.7669 0.000 0.864 0.000 0.000 0.000 0.136
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.4360 0.7980 0.260 0.000 0.000 0.680 0.060 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.5022 0.6937 0.000 0.004 0.664 0.232 0.088 0.012
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 6 0.5366 0.6203 0.000 0.156 0.216 0.004 0.004 0.620
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0436 0.9094 0.000 0.988 0.004 0.004 0.000 0.004
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.6956 0.3874 0.228 0.000 0.328 0.380 0.064 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.2597 0.6720 0.824 0.000 0.000 0.000 0.176 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.5232 -0.0346 0.032 0.000 0.296 0.036 0.624 0.012
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 6 0.3189 0.7560 0.000 0.184 0.020 0.000 0.000 0.796
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.4314 0.5743 0.720 0.000 0.000 0.096 0.184 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.1411 0.7741 0.936 0.000 0.000 0.004 0.060 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 6 0.5396 0.6244 0.000 0.160 0.216 0.004 0.004 0.616
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 6 0.5372 0.6389 0.000 0.160 0.212 0.004 0.004 0.620
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.3136 0.5868 0.768 0.000 0.000 0.004 0.228 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.1857 0.7356 0.000 0.044 0.028 0.000 0.004 0.924
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0146 0.7762 0.996 0.000 0.000 0.000 0.004 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 18133 rows and 198 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 1.000 0.995 0.998 0.5020 0.498 0.498
#> 3 3 0.907 0.906 0.960 0.2492 0.848 0.702
#> 4 4 0.731 0.814 0.887 0.1291 0.855 0.641
#> 5 5 0.797 0.724 0.844 0.0591 0.911 0.716
#> 6 6 0.764 0.721 0.853 0.0352 0.915 0.694
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.000 0.996 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.000 1.000 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.000 0.996 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.000 1.000 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.000 0.996 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.000 1.000 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.000 0.996 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.000 0.996 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.000 0.996 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.000 1.000 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.000 1.000 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.000 1.000 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.000 0.996 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.000 0.996 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.000 0.996 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.000 1.000 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.000 0.996 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.000 1.000 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.000 0.996 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.000 0.996 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.000 1.000 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.000 0.996 0.000 1.000
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#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.000 1.000 1.000 0.000
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#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.000 0.996 0.000 1.000
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#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.000 0.996 0.000 1.000
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#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.000 0.996 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.000 0.996 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.000 1.000 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.000 1.000 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.000 0.996 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.000 1.000 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.000 0.996 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.000 1.000 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.000 0.996 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.000 0.996 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.000 0.996 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.000 1.000 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.000 1.000 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.000 1.000 1.000 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.000 0.996 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.000 1.000 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.000 1.000 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.000 0.996 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.000 0.996 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.000 1.000 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.000 0.996 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.000 1.000 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9718 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.9727 1.000 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9718 0.000 1.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.9727 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9718 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.9727 1.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9718 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0000 0.9718 0.000 1.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 0.9718 0.000 1.000 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 3 0.6192 0.3750 0.420 0.000 0.580
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.9727 1.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 0.9727 1.000 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.9718 0.000 1.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0000 0.9718 0.000 1.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.5926 0.4955 0.000 0.644 0.356
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.9727 1.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9718 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.6267 0.0308 0.548 0.000 0.452
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9718 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.9718 0.000 1.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0000 0.9727 1.000 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.0000 0.9718 0.000 1.000 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.9727 1.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.9727 1.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2537 0.8900 0.920 0.000 0.080
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9718 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.0000 0.8748 0.000 0.000 1.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.9727 1.000 0.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 3 0.1643 0.8581 0.044 0.000 0.956
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 3 0.6215 0.3542 0.428 0.000 0.572
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.9718 0.000 1.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.9727 1.000 0.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.4842 0.7276 0.000 0.776 0.224
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.9727 1.000 0.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.9727 1.000 0.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.9727 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9718 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9718 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.9727 1.000 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.9727 1.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.9727 1.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9718 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0000 0.8748 0.000 0.000 1.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9718 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.0000 0.8748 0.000 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.9727 1.000 0.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.9727 1.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.9718 0.000 1.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9718 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.1529 0.9378 0.000 0.960 0.040
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.9727 1.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.9727 1.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.9727 1.000 0.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.9727 1.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.0000 0.8748 0.000 0.000 1.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.9718 0.000 1.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.9727 1.000 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0000 0.9727 1.000 0.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.5560 0.4783 0.000 0.300 0.700
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.8748 0.000 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.9727 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.8748 0.000 0.000 1.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.9718 0.000 1.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.9727 1.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9718 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.9727 1.000 0.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.9727 1.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9718 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.9718 0.000 1.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.9718 0.000 1.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.9718 0.000 1.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0000 0.9727 1.000 0.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.9727 1.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9718 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.9727 1.000 0.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.9727 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.3267 0.7757 0.000 0.116 0.884
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9718 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.0000 0.9727 1.000 0.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9718 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.2878 0.8701 0.904 0.000 0.096
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9718 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9718 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.3941 0.8171 0.000 0.844 0.156
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 3 0.4555 0.7447 0.200 0.000 0.800
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 0.9727 1.000 0.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.9727 1.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.0000 0.9727 1.000 0.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 3 0.0000 0.8748 0.000 0.000 1.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.9727 1.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 3 0.0000 0.8748 0.000 0.000 1.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.8748 0.000 0.000 1.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.3192 0.8495 0.888 0.000 0.112
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.0000 0.8748 0.000 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.5497 0.5542 0.292 0.708 0.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9718 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.9718 0.000 1.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 0.9718 0.000 1.000 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.9727 1.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.9727 1.000 0.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.9727 1.000 0.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.9727 1.000 0.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.9727 1.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.1753 0.9306 0.000 0.952 0.048
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9718 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.9718 0.000 1.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9718 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.6308 -0.1289 0.508 0.000 0.492
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.9727 1.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.2356 0.9105 0.000 0.928 0.072
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.9727 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9718 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.9718 0.000 1.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.0000 0.8748 0.000 0.000 1.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9718 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9718 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.0000 0.8748 0.000 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0000 0.9727 1.000 0.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0000 0.9727 1.000 0.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9718 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.1163 0.9470 0.972 0.000 0.028
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.0424 0.8732 0.008 0.000 0.992
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.9727 1.000 0.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0424 0.9656 0.992 0.000 0.008
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.9727 1.000 0.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0000 0.9727 1.000 0.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.9727 1.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.0892 0.8650 0.000 0.020 0.980
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.3116 0.8738 0.000 0.892 0.108
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9718 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 3 0.4887 0.7139 0.228 0.000 0.772
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.9727 1.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.9727 1.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.2066 0.9191 0.000 0.940 0.060
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.9718 0.000 1.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 3 0.6305 0.1800 0.484 0.000 0.516
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9718 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 3 0.1031 0.8679 0.024 0.000 0.976
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.9718 0.000 1.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 3 0.4974 0.7039 0.236 0.000 0.764
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.0000 0.8748 0.000 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.9727 1.000 0.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.9727 1.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 3 0.6204 0.3735 0.424 0.000 0.576
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.9727 1.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.2537 0.8905 0.920 0.000 0.080
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9718 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9718 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.9727 1.000 0.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9718 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.9727 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9718 0.000 1.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.9718 0.000 1.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.0000 0.9718 0.000 1.000 0.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0892 0.9548 0.980 0.000 0.020
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.9718 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9718 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.9727 1.000 0.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.9718 0.000 1.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9718 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.5706 0.5680 0.000 0.680 0.320
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9718 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.9727 1.000 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9718 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9718 0.000 1.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9718 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.0424 0.8718 0.000 0.008 0.992
#> A716BC29-161F-4CA0-B240-00B330137F2C 3 0.6192 0.3752 0.420 0.000 0.580
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 0.9727 1.000 0.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.3267 0.8334 0.116 0.884 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.0000 0.9727 1.000 0.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.1529 0.8543 0.000 0.040 0.960
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.9727 1.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.9727 1.000 0.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9718 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 3 0.0000 0.8748 0.000 0.000 1.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9718 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9718 0.000 1.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 3 0.4062 0.7825 0.164 0.000 0.836
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.9727 1.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9718 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.9727 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9718 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 0.9727 1.000 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.6126 0.3946 0.000 0.600 0.400
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9718 0.000 1.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9718 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 0.9727 1.000 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.5810 0.4222 0.664 0.000 0.336
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.4121 0.7751 0.168 0.000 0.832
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.9718 0.000 1.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.9727 1.000 0.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0892 0.9548 0.980 0.000 0.020
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.9718 0.000 1.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.9718 0.000 1.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.4654 0.7010 0.792 0.000 0.208
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.0237 0.8738 0.000 0.004 0.996
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.9727 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.1867 0.8552 0.072 0.000 0.000 0.928
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.4193 0.7711 0.732 0.000 0.000 0.268
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3975 0.7920 0.760 0.000 0.000 0.240
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.3907 0.7949 0.000 0.828 0.140 0.032
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4040 0.6609 0.000 0.752 0.000 0.248
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.1211 0.7803 0.960 0.000 0.040 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.3356 0.8225 0.824 0.000 0.000 0.176
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0707 0.8716 0.020 0.000 0.000 0.980
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.3149 0.8517 0.000 0.880 0.088 0.032
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.5298 0.4029 0.000 0.372 0.612 0.016
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.3710 0.8178 0.804 0.000 0.004 0.192
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.1305 0.7844 0.960 0.000 0.036 0.004
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0592 0.8710 0.016 0.000 0.000 0.984
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.3013 0.8597 0.000 0.888 0.080 0.032
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.4454 0.7390 0.692 0.000 0.000 0.308
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4406 0.7420 0.700 0.000 0.000 0.300
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.1938 0.7817 0.936 0.000 0.052 0.012
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.1940 0.8484 0.076 0.000 0.924 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 4 0.3649 0.7537 0.204 0.000 0.000 0.796
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.3123 0.6898 0.844 0.000 0.156 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.1940 0.7630 0.924 0.000 0.076 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0188 0.9499 0.000 0.996 0.000 0.004
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.3942 0.8057 0.764 0.000 0.000 0.236
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.4933 0.1715 0.000 0.568 0.432 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.4356 0.7517 0.708 0.000 0.000 0.292
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4500 0.7221 0.684 0.000 0.000 0.316
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.3486 0.8188 0.812 0.000 0.000 0.188
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.2760 0.8062 0.128 0.000 0.000 0.872
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.4304 0.7356 0.716 0.000 0.000 0.284
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.2814 0.7984 0.868 0.000 0.000 0.132
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.1867 0.8488 0.072 0.000 0.928 0.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.2081 0.8474 0.084 0.000 0.916 0.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.3649 0.7661 0.796 0.000 0.000 0.204
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.2469 0.7924 0.892 0.000 0.000 0.108
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.4072 0.6486 0.252 0.000 0.000 0.748
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.2408 0.8283 0.896 0.000 0.000 0.104
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.3688 0.6851 0.208 0.000 0.000 0.792
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.2760 0.8293 0.872 0.000 0.000 0.128
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.2704 0.8366 0.124 0.000 0.876 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.4008 0.6478 0.000 0.756 0.244 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0592 0.8710 0.016 0.000 0.000 0.984
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0921 0.8716 0.028 0.000 0.000 0.972
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.4252 0.6736 0.004 0.252 0.744 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0592 0.8187 0.000 0.000 0.984 0.016
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.3726 0.8103 0.788 0.000 0.000 0.212
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.1474 0.8466 0.052 0.000 0.948 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.4331 0.7550 0.712 0.000 0.000 0.288
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.4454 0.7326 0.692 0.000 0.000 0.308
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.3024 0.8022 0.852 0.000 0.000 0.148
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0336 0.9468 0.008 0.992 0.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0188 0.9497 0.000 0.996 0.004 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0336 0.8672 0.008 0.000 0.000 0.992
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.3311 0.8238 0.828 0.000 0.000 0.172
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.1022 0.8707 0.032 0.000 0.000 0.968
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.3610 0.8169 0.800 0.000 0.000 0.200
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.3999 0.7818 0.036 0.140 0.824 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0707 0.8490 0.000 0.000 0.020 0.980
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.6809 0.3035 0.116 0.000 0.332 0.552
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.4500 0.5140 0.000 0.684 0.316 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.2408 0.7520 0.896 0.000 0.104 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.1022 0.8707 0.032 0.000 0.000 0.968
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.4996 0.3406 0.516 0.000 0.000 0.484
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0469 0.8693 0.012 0.000 0.000 0.988
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 3 0.4605 0.5729 0.336 0.000 0.664 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.4331 0.7495 0.712 0.000 0.000 0.288
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 3 0.1792 0.8488 0.068 0.000 0.932 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.1118 0.8423 0.036 0.000 0.964 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.2124 0.8185 0.924 0.000 0.008 0.068
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.1902 0.8496 0.064 0.004 0.932 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.4996 0.0774 0.000 0.516 0.000 0.484
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.3074 0.7930 0.000 0.848 0.000 0.152
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.3123 0.8271 0.844 0.000 0.000 0.156
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.3444 0.8195 0.816 0.000 0.000 0.184
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.4040 0.7690 0.752 0.000 0.000 0.248
#> F9DD688C-7B35-49E7-9651-2E098EE78856 4 0.4977 -0.1873 0.460 0.000 0.000 0.540
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4730 0.6627 0.636 0.000 0.000 0.364
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.1716 0.7694 0.936 0.000 0.064 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.3123 0.8269 0.844 0.000 0.000 0.156
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.4746 0.3743 0.000 0.632 0.368 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.3123 0.8287 0.844 0.000 0.000 0.156
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.1557 0.8474 0.056 0.000 0.944 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.1867 0.8488 0.072 0.000 0.928 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.1022 0.8707 0.032 0.000 0.000 0.968
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0592 0.8710 0.016 0.000 0.000 0.984
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0188 0.7971 0.996 0.000 0.000 0.004
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.1938 0.8409 0.052 0.000 0.936 0.012
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.4105 0.8186 0.812 0.000 0.032 0.156
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.6265 0.5070 0.656 0.000 0.124 0.220
#> D005833F-E991-4E9E-9667-55F137288004 4 0.2408 0.8358 0.104 0.000 0.000 0.896
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.1022 0.8707 0.032 0.000 0.000 0.968
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.3074 0.8274 0.848 0.000 0.000 0.152
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.4235 0.8162 0.084 0.092 0.824 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.5321 0.5395 0.000 0.672 0.296 0.032
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.1867 0.7726 0.928 0.000 0.072 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.3764 0.8214 0.816 0.000 0.012 0.172
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.3528 0.8170 0.808 0.000 0.000 0.192
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.1118 0.9239 0.000 0.964 0.036 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.3569 0.7302 0.196 0.804 0.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.2124 0.7755 0.924 0.000 0.068 0.008
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 3 0.4155 0.7507 0.240 0.000 0.756 0.004
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0817 0.9343 0.000 0.976 0.024 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.3074 0.7079 0.848 0.000 0.152 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.4008 0.8302 0.148 0.032 0.820 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.3400 0.7493 0.180 0.000 0.000 0.820
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.4866 0.4924 0.596 0.000 0.000 0.404
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 3 0.5011 0.7109 0.160 0.000 0.764 0.076
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.3569 0.8161 0.804 0.000 0.000 0.196
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.2521 0.7792 0.912 0.000 0.024 0.064
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.2149 0.8437 0.088 0.000 0.000 0.912
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.3219 0.8255 0.836 0.000 0.000 0.164
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.4228 0.5244 0.000 0.232 0.008 0.760
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 4 0.7841 0.1413 0.332 0.000 0.272 0.396
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.2149 0.7954 0.912 0.000 0.000 0.088
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.5673 0.3765 0.000 0.372 0.596 0.032
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.2469 0.8318 0.108 0.000 0.000 0.892
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.0469 0.8326 0.012 0.000 0.988 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.1302 0.7846 0.956 0.000 0.044 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0817 0.8718 0.024 0.000 0.000 0.976
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.2999 0.7212 0.004 0.132 0.000 0.864
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0336 0.8672 0.008 0.000 0.000 0.992
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.5280 0.7891 0.124 0.124 0.752 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.3024 0.8278 0.852 0.000 0.000 0.148
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.0921 0.8716 0.028 0.000 0.000 0.972
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 3 0.3764 0.7894 0.216 0.000 0.784 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.6101 0.4269 0.560 0.000 0.388 0.052
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.3219 0.7890 0.836 0.000 0.000 0.164
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.4134 0.7779 0.740 0.000 0.000 0.260
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0592 0.8710 0.016 0.000 0.000 0.984
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.4728 0.6568 0.000 0.216 0.752 0.032
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9525 0.000 1.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0469 0.8693 0.012 0.000 0.000 0.988
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.2021 0.7936 0.932 0.000 0.056 0.012
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.2773 0.7339 0.880 0.004 0.116 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0592 0.9401 0.016 0.984 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 4 0.2281 0.8261 0.096 0.000 0.000 0.904
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2928 0.7572 0.880 0.000 0.012 0.108
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.1302 0.9204 0.000 0.956 0.000 0.044
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0592 0.9412 0.000 0.984 0.000 0.016
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.2578 0.8126 0.912 0.000 0.036 0.052
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.4054 0.8079 0.188 0.016 0.796 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2814 0.8288 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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0162 0.9692 0.000 0.996 0.000 0.000 0.004
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.2929 0.7720 0.000 0.000 0.000 0.820 0.180
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0671 0.8707 0.980 0.000 0.004 0.016 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0162 0.9692 0.000 0.996 0.000 0.000 0.004
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3950 0.7551 0.796 0.000 0.000 0.068 0.136
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.3983 0.3659 0.000 0.340 0.660 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.2929 0.7443 0.000 0.820 0.000 0.180 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.1732 0.8494 0.920 0.000 0.000 0.000 0.080
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.8743 1.000 0.000 0.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0162 0.8552 0.000 0.000 0.004 0.996 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.4219 0.2821 0.000 0.416 0.584 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.3123 0.4256 0.000 0.184 0.812 0.000 0.004
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.8743 1.000 0.000 0.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.2563 0.8195 0.872 0.000 0.008 0.000 0.120
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0290 0.9664 0.000 0.992 0.000 0.000 0.008
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.8554 0.000 0.000 0.000 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.4294 0.1330 0.000 0.468 0.532 0.000 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.1608 0.8452 0.928 0.000 0.000 0.072 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.8743 1.000 0.000 0.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.4126 0.4479 0.620 0.000 0.000 0.000 0.380
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.4294 0.2533 0.000 0.000 0.532 0.000 0.468
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 4 0.4235 0.4640 0.000 0.000 0.000 0.576 0.424
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 5 0.4847 0.4908 0.240 0.000 0.068 0.000 0.692
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 5 0.3730 0.4362 0.288 0.000 0.000 0.000 0.712
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.3003 0.8163 0.864 0.000 0.000 0.044 0.092
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.3863 0.7013 0.000 0.796 0.152 0.000 0.052
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0290 0.8725 0.992 0.000 0.008 0.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0579 0.8721 0.984 0.000 0.008 0.008 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.8743 1.000 0.000 0.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.2890 0.7813 0.004 0.000 0.000 0.836 0.160
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.4907 0.6073 0.056 0.000 0.000 0.664 0.280
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 5 0.5808 0.4211 0.232 0.000 0.000 0.160 0.608
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 5 0.4235 -0.0874 0.000 0.000 0.424 0.000 0.576
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 5 0.4201 -0.0516 0.000 0.000 0.408 0.000 0.592
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 5 0.5757 0.0972 0.104 0.000 0.000 0.336 0.560
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 5 0.5137 0.4855 0.228 0.000 0.000 0.096 0.676
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0162 0.9687 0.000 0.996 0.004 0.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.3967 0.6806 0.012 0.000 0.000 0.724 0.264
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.2377 0.8114 0.872 0.000 0.000 0.000 0.128
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.4367 0.2558 0.580 0.000 0.004 0.416 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.2732 0.7829 0.840 0.000 0.000 0.000 0.160
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.4297 0.2485 0.000 0.000 0.528 0.000 0.472
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.2300 0.8666 0.000 0.904 0.072 0.000 0.024
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0162 0.8552 0.000 0.000 0.004 0.996 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.8554 0.000 0.000 0.000 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 5 0.6359 -0.1511 0.000 0.220 0.260 0.000 0.520
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0162 0.3795 0.000 0.000 0.996 0.000 0.004
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.8743 1.000 0.000 0.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.4126 0.3344 0.000 0.000 0.620 0.000 0.380
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0162 0.9692 0.000 0.996 0.000 0.000 0.004
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.2674 0.8017 0.868 0.000 0.000 0.120 0.012
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0451 0.8725 0.988 0.000 0.008 0.004 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.5836 0.1538 0.492 0.000 0.000 0.096 0.412
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0162 0.9692 0.000 0.996 0.000 0.000 0.004
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0451 0.9623 0.000 0.988 0.004 0.000 0.008
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0162 0.8552 0.000 0.000 0.004 0.996 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.8743 1.000 0.000 0.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.0162 0.8552 0.000 0.000 0.004 0.996 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.8743 1.000 0.000 0.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.6102 0.2651 0.000 0.124 0.440 0.000 0.436
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0162 0.8552 0.000 0.000 0.004 0.996 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 5 0.4537 0.1392 0.000 0.000 0.012 0.396 0.592
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.4549 0.2114 0.000 0.464 0.528 0.000 0.008
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.2790 0.8083 0.880 0.000 0.052 0.000 0.068
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0162 0.8552 0.000 0.000 0.004 0.996 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.1571 0.8482 0.936 0.000 0.004 0.060 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0000 0.8554 0.000 0.000 0.000 1.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 5 0.5790 0.0519 0.092 0.000 0.408 0.000 0.500
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.6388 0.2676 0.508 0.000 0.000 0.284 0.208
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 3 0.4249 0.2940 0.000 0.000 0.568 0.000 0.432
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.3684 0.3694 0.000 0.000 0.720 0.000 0.280
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0404 0.8733 0.988 0.000 0.000 0.000 0.012
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.4291 0.2604 0.000 0.000 0.536 0.000 0.464
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.4746 0.2763 0.000 0.376 0.000 0.600 0.024
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.3177 0.6972 0.000 0.792 0.000 0.208 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0162 0.8741 0.996 0.000 0.000 0.000 0.004
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.8743 1.000 0.000 0.000 0.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.6795 -0.1198 0.364 0.000 0.000 0.288 0.348
#> F9DD688C-7B35-49E7-9651-2E098EE78856 4 0.3919 0.7356 0.036 0.000 0.000 0.776 0.188
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.1608 0.8447 0.928 0.000 0.000 0.072 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0162 0.9687 0.000 0.996 0.004 0.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0162 0.9692 0.000 0.996 0.000 0.000 0.004
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0162 0.9692 0.000 0.996 0.000 0.000 0.004
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.3039 0.7592 0.808 0.000 0.000 0.000 0.192
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0404 0.8733 0.988 0.000 0.000 0.000 0.012
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.3197 0.7670 0.000 0.836 0.140 0.000 0.024
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.8743 1.000 0.000 0.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0794 0.9484 0.000 0.972 0.000 0.000 0.028
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.4045 0.3471 0.000 0.000 0.644 0.000 0.356
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.4300 0.2404 0.000 0.000 0.524 0.000 0.476
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.8554 0.000 0.000 0.000 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0162 0.8552 0.000 0.000 0.004 0.996 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0703 0.8712 0.976 0.000 0.000 0.000 0.024
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.3109 0.3733 0.000 0.000 0.800 0.000 0.200
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0290 0.8716 0.992 0.000 0.008 0.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 5 0.1651 0.4698 0.012 0.000 0.008 0.036 0.944
#> D005833F-E991-4E9E-9667-55F137288004 4 0.3086 0.7683 0.004 0.000 0.000 0.816 0.180
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0162 0.8548 0.000 0.000 0.000 0.996 0.004
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0404 0.8733 0.988 0.000 0.000 0.000 0.012
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 5 0.4712 0.1315 0.000 0.048 0.268 0.000 0.684
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.3561 0.4000 0.000 0.260 0.740 0.000 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.2505 0.8309 0.888 0.000 0.020 0.000 0.092
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0162 0.8730 0.996 0.000 0.004 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.8743 1.000 0.000 0.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.1281 0.9294 0.000 0.956 0.032 0.000 0.012
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.4138 0.3640 0.000 0.616 0.000 0.000 0.384
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.3012 0.8039 0.852 0.000 0.024 0.000 0.124
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 5 0.5599 0.1333 0.092 0.000 0.328 0.000 0.580
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.3999 0.6135 0.000 0.740 0.020 0.000 0.240
#> DD4BD74D-D48C-4090-9F57-5334E784581C 5 0.4101 0.4874 0.184 0.000 0.048 0.000 0.768
#> 41183565-434D-474C-B1BD-CA6E94910658 5 0.4318 0.1412 0.000 0.020 0.292 0.000 0.688
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.3530 0.7426 0.012 0.000 0.000 0.784 0.204
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 4 0.4402 0.5667 0.012 0.000 0.000 0.636 0.352
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 5 0.6195 0.0406 0.144 0.000 0.368 0.000 0.488
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.8743 1.000 0.000 0.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 5 0.3317 0.5170 0.188 0.000 0.004 0.004 0.804
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.2424 0.7994 0.000 0.000 0.000 0.868 0.132
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0510 0.8727 0.984 0.000 0.000 0.000 0.016
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.0703 0.8376 0.000 0.024 0.000 0.976 0.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 5 0.2179 0.4701 0.008 0.000 0.008 0.072 0.912
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 5 0.5751 0.2536 0.348 0.000 0.000 0.100 0.552
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.2970 0.4237 0.004 0.168 0.828 0.000 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.3305 0.7357 0.000 0.000 0.000 0.776 0.224
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.4192 0.3122 0.000 0.000 0.596 0.000 0.404
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2929 0.7589 0.820 0.000 0.000 0.000 0.180
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.8554 0.000 0.000 0.000 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 4 0.0963 0.8261 0.000 0.036 0.000 0.964 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.8554 0.000 0.000 0.000 1.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 5 0.4479 0.2245 0.000 0.072 0.184 0.000 0.744
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.2377 0.8116 0.872 0.000 0.000 0.000 0.128
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.1041 0.8342 0.032 0.000 0.004 0.964 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0162 0.9692 0.000 0.996 0.000 0.000 0.004
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 5 0.1478 0.4388 0.000 0.000 0.064 0.000 0.936
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.5514 0.4801 0.636 0.000 0.284 0.064 0.016
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 5 0.6060 0.1574 0.384 0.000 0.000 0.124 0.492
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0510 0.8717 0.984 0.000 0.000 0.016 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0162 0.8552 0.000 0.000 0.004 0.996 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.1892 0.4166 0.000 0.080 0.916 0.000 0.004
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0162 0.8552 0.000 0.000 0.004 0.996 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.8743 1.000 0.000 0.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.3442 0.7730 0.836 0.000 0.060 0.000 0.104
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0510 0.9594 0.000 0.984 0.000 0.000 0.016
#> 26311920-1414-4EC1-870B-784961EBCC2D 4 0.6002 0.3315 0.308 0.000 0.140 0.552 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 5 0.4000 0.5102 0.228 0.000 0.000 0.024 0.748
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.1484 0.9156 0.000 0.944 0.008 0.048 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.9714 0.000 1.000 0.000 0.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.8743 1.000 0.000 0.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 5 0.2230 0.3854 0.000 0.000 0.116 0.000 0.884
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2561 0.7980 0.856 0.000 0.000 0.000 0.144
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.1951 0.8622 0.000 0.908 0.076 0.000 0.016 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.3309 0.6764 0.720 0.000 0.000 0.280 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.1267 0.8842 0.000 0.940 0.060 0.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 5 0.1082 0.8325 0.040 0.000 0.000 0.004 0.956 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.1075 0.8904 0.000 0.952 0.048 0.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3670 0.7009 0.736 0.000 0.000 0.024 0.240 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0260 0.9036 0.000 0.992 0.008 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.5336 0.6330 0.000 0.284 0.572 0.000 0.000 0.144
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.3428 0.4461 0.000 0.696 0.000 0.304 0.000 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.3293 0.7410 0.132 0.000 0.032 0.000 0.824 0.012
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 5 0.0363 0.8377 0.012 0.000 0.000 0.000 0.988 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.9429 0.000 0.000 0.000 1.000 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0146 0.9045 0.000 0.996 0.004 0.000 0.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.5024 0.6108 0.000 0.340 0.572 0.000 0.000 0.088
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.5443 0.6144 0.000 0.244 0.572 0.000 0.000 0.184
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 5 0.0725 0.8376 0.012 0.000 0.000 0.000 0.976 0.012
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9043 0.000 1.000 0.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 5 0.4449 0.0636 0.440 0.000 0.000 0.000 0.532 0.028
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9043 0.000 1.000 0.000 0.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0547 0.9019 0.000 0.980 0.020 0.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.9429 0.000 0.000 0.000 1.000 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.4779 0.5844 0.000 0.368 0.572 0.000 0.000 0.060
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.2618 0.8034 0.052 0.000 0.000 0.076 0.872 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 5 0.0717 0.8366 0.008 0.000 0.000 0.016 0.976 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.3081 0.7176 0.776 0.000 0.000 0.000 0.220 0.004
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0260 0.9036 0.000 0.992 0.008 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 6 0.0713 0.6956 0.028 0.000 0.000 0.000 0.000 0.972
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.2586 0.7178 0.868 0.000 0.032 0.100 0.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 6 0.7560 0.3021 0.236 0.000 0.300 0.000 0.156 0.308
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.1930 0.7342 0.916 0.000 0.048 0.000 0.036 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.3756 0.1066 0.000 0.600 0.400 0.000 0.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.3797 0.3935 0.580 0.000 0.000 0.000 0.420 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.3163 0.6173 0.000 0.764 0.004 0.000 0.000 0.232
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 5 0.0458 0.8379 0.016 0.000 0.000 0.000 0.984 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 5 0.0146 0.8366 0.004 0.000 0.000 0.000 0.996 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 5 0.1007 0.8310 0.044 0.000 0.000 0.000 0.956 0.000
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#> C71FF69B-A460-43CA-8769-9667F22D938B 5 0.2416 0.7471 0.156 0.000 0.000 0.000 0.844 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0260 0.9036 0.000 0.992 0.008 0.000 0.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.9429 0.000 0.000 0.000 1.000 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.4445 0.2631 0.000 0.032 0.572 0.000 0.000 0.396
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0146 0.9042 0.000 0.996 0.004 0.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.2378 0.7571 0.000 0.848 0.152 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.9429 0.000 0.000 0.000 1.000 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 5 0.0363 0.8372 0.012 0.000 0.000 0.000 0.988 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.5521 0.4242 0.060 0.004 0.040 0.000 0.596 0.300
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.3092 0.8093 0.016 0.852 0.088 0.000 0.044 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 4 0.3592 0.4150 0.000 0.000 0.000 0.656 0.344 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.1511 0.7584 0.940 0.000 0.000 0.012 0.044 0.004
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.4284 0.4486 0.000 0.688 0.056 0.256 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0405 0.9034 0.000 0.988 0.004 0.008 0.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 5 0.0146 0.8367 0.004 0.000 0.000 0.000 0.996 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.4890 0.5600 0.164 0.032 0.096 0.000 0.000 0.708
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.3175 0.6865 0.744 0.000 0.000 0.000 0.256 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "hclust"]
# you can also extract it by
# res = res_list["ATC:hclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 18133 rows and 198 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 0.405 0.749 0.851 0.3218 0.735 0.735
#> 3 3 0.809 0.862 0.930 0.9002 0.616 0.491
#> 4 4 0.761 0.824 0.895 0.0650 0.991 0.978
#> 5 5 0.736 0.792 0.871 0.0750 0.936 0.834
#> 6 6 0.693 0.651 0.801 0.0755 0.921 0.757
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 1 0.7602 0.8058 0.780 0.220
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.1843 0.7992 0.972 0.028
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 1 0.7602 0.8058 0.780 0.220
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1184 0.8081 0.984 0.016
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 1 0.7602 0.8058 0.780 0.220
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0672 0.8124 0.992 0.008
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 1 0.7528 0.8063 0.784 0.216
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.4161 0.8015 0.084 0.916
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.9944 -0.0767 0.456 0.544
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.2236 0.8132 0.964 0.036
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0672 0.8124 0.992 0.008
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.3274 0.7674 0.940 0.060
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 1 0.7602 0.8064 0.780 0.220
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.4161 0.8015 0.084 0.916
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.4161 0.8015 0.084 0.916
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0672 0.8124 0.992 0.008
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 1 0.7528 0.8063 0.784 0.216
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.1843 0.8115 0.972 0.028
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 1 0.7602 0.8047 0.780 0.220
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 1 0.7602 0.8058 0.780 0.220
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 2 0.7950 0.7609 0.240 0.760
#> EDD7E63D-492A-473B-A552-0764337B10EF 1 0.8555 0.7527 0.720 0.280
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.1633 0.8101 0.976 0.024
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.1184 0.8084 0.984 0.016
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0672 0.8124 0.992 0.008
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 1 0.7602 0.8047 0.780 0.220
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 2 0.9491 0.6835 0.368 0.632
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.1633 0.8024 0.976 0.024
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.1414 0.8124 0.980 0.020
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.2043 0.8124 0.968 0.032
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 1 0.8555 0.7527 0.720 0.280
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1414 0.8055 0.980 0.020
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 1 0.7674 0.8024 0.776 0.224
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0672 0.8124 0.992 0.008
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0938 0.8136 0.988 0.012
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.1184 0.8084 0.984 0.016
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 1 0.7602 0.8058 0.780 0.220
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 1 0.7602 0.8047 0.780 0.220
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0672 0.8124 0.992 0.008
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.5946 0.6465 0.856 0.144
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0938 0.8103 0.988 0.012
#> 253601DB-B78A-4566-9947-8C0270C0B163 1 0.7602 0.8058 0.780 0.220
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.4161 0.8015 0.084 0.916
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 1 0.7602 0.8064 0.780 0.220
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.4815 0.7959 0.104 0.896
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.1633 0.8024 0.976 0.024
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0938 0.8103 0.988 0.012
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 1 0.8555 0.7527 0.720 0.280
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 1 0.7602 0.8047 0.780 0.220
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 1 0.7453 0.8078 0.788 0.212
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.6247 0.6241 0.844 0.156
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.1633 0.8031 0.976 0.024
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.1414 0.8062 0.980 0.020
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0672 0.8124 0.992 0.008
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0672 0.8124 0.992 0.008
#> E19D5463-FDD0-41C1-A170-323736A88D07 1 0.7674 0.8024 0.776 0.224
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.8713 0.2791 0.708 0.292
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 2 0.7950 0.7609 0.240 0.760
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 1 0.9129 0.6872 0.672 0.328
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.4161 0.8015 0.084 0.916
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.1184 0.8084 0.984 0.016
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 2 0.4161 0.8015 0.084 0.916
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 1 0.7602 0.8058 0.780 0.220
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.4022 0.7440 0.920 0.080
#> ACE6566B-AEB9-426C-924A-B382D14A1024 1 0.7602 0.8047 0.780 0.220
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0672 0.8124 0.992 0.008
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.1633 0.8024 0.976 0.024
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 1 0.7528 0.8063 0.784 0.216
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 1 0.7602 0.8058 0.780 0.220
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 1 0.7745 0.8001 0.772 0.228
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 1 0.7602 0.8047 0.780 0.220
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 2 0.7950 0.7609 0.240 0.760
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0672 0.8124 0.992 0.008
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 1 0.7602 0.8047 0.780 0.220
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.1184 0.8081 0.984 0.016
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.1184 0.8084 0.984 0.016
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 1 0.7674 0.8024 0.776 0.224
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 1 0.7602 0.8047 0.780 0.220
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 2 0.7376 0.7752 0.208 0.792
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 1 0.7602 0.8047 0.780 0.220
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.8955 0.2076 0.688 0.312
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 1 0.7602 0.8047 0.780 0.220
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 1 0.7602 0.8047 0.780 0.220
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 1 0.7745 0.8003 0.772 0.228
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.2236 0.8132 0.964 0.036
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.3274 0.7674 0.940 0.060
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.1184 0.8084 0.984 0.016
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.9754 0.1540 0.408 0.592
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.1414 0.8124 0.980 0.020
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0672 0.8124 0.992 0.008
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0672 0.8124 0.992 0.008
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 2 0.4161 0.8015 0.084 0.916
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.2043 0.8124 0.968 0.032
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 1 0.7674 0.8024 0.776 0.224
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.9933 -0.0192 0.452 0.548
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 1 0.7602 0.8058 0.780 0.220
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 1 0.7674 0.8024 0.776 0.224
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 1 0.7219 0.8107 0.800 0.200
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0938 0.8136 0.988 0.012
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0938 0.8136 0.988 0.012
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.1184 0.8084 0.984 0.016
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.1843 0.7992 0.972 0.028
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.1184 0.8084 0.984 0.016
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 1 0.7602 0.8058 0.780 0.220
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 1 0.7602 0.8047 0.780 0.220
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 1 0.7602 0.8058 0.780 0.220
#> CC02897D-9123-495E-9242-5C9CF4EC269B 1 0.7602 0.8047 0.780 0.220
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0672 0.8124 0.992 0.008
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0672 0.8124 0.992 0.008
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 1 0.7674 0.8024 0.776 0.224
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.1184 0.8084 0.984 0.016
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 1 0.8081 0.7844 0.752 0.248
#> 2C1F9079-602E-4252-82C7-9D8799E04246 1 0.7602 0.8058 0.780 0.220
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 2 0.4161 0.8015 0.084 0.916
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 1 0.7602 0.8047 0.780 0.220
#> B588950F-14D6-41C8-845B-EFD2096013C6 1 0.7602 0.8058 0.780 0.220
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 1 0.7674 0.8024 0.776 0.224
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.9993 -0.4247 0.516 0.484
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 2 0.7950 0.7609 0.240 0.760
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 1 0.7602 0.8058 0.780 0.220
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0672 0.8124 0.992 0.008
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 2 0.9491 0.6835 0.368 0.632
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0938 0.8136 0.988 0.012
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.6247 0.6241 0.844 0.156
#> D005833F-E991-4E9E-9667-55F137288004 2 0.9988 0.4902 0.480 0.520
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.9993 -0.4247 0.516 0.484
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0672 0.8124 0.992 0.008
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.5408 0.7864 0.124 0.876
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.4161 0.8015 0.084 0.916
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 1 0.7602 0.8047 0.780 0.220
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.2236 0.8132 0.964 0.036
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0376 0.8136 0.996 0.004
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0376 0.8136 0.996 0.004
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 1 0.7602 0.8047 0.780 0.220
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 1 0.6247 0.8147 0.844 0.156
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.2236 0.8132 0.964 0.036
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 1 0.7602 0.8058 0.780 0.220
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0672 0.8124 0.992 0.008
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 1 0.7745 0.8001 0.772 0.228
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0672 0.8124 0.992 0.008
#> 41183565-434D-474C-B1BD-CA6E94910658 1 0.7299 0.8100 0.796 0.204
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.5946 0.6465 0.856 0.144
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.1843 0.7992 0.972 0.028
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0672 0.8124 0.992 0.008
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.1184 0.8084 0.984 0.016
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0938 0.8103 0.988 0.012
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 1 0.7602 0.8047 0.780 0.220
#> 64552DC0-181E-4607-898C-787AA7F26435 1 0.7602 0.8058 0.780 0.220
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.9993 -0.4247 0.516 0.484
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 1 0.7602 0.8061 0.780 0.220
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.1184 0.8084 0.984 0.016
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 1 0.7602 0.8058 0.780 0.220
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 1 0.7745 0.8001 0.772 0.228
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 1 0.8555 0.7473 0.720 0.280
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 2 0.9552 0.6746 0.376 0.624
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 1 0.7602 0.8060 0.780 0.220
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 1 0.7602 0.8047 0.780 0.220
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.1843 0.8113 0.972 0.028
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 1 0.8555 0.7527 0.720 0.280
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 1 0.7602 0.8047 0.780 0.220
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.4161 0.8015 0.084 0.916
#> 4464650B-453F-476C-989C-B7B159BF2CF0 1 0.7528 0.8063 0.784 0.216
#> 577D2867-B738-487A-9B06-07958D647F02 2 0.9686 0.6484 0.396 0.604
#> E52A22CC-3C03-41A9-9541-220DD871E162 1 0.7602 0.8047 0.780 0.220
#> 642703B1-AF99-4746-A915-0792F4B9590B 1 0.7602 0.8058 0.780 0.220
#> 8F0D1792-1284-45E6-8EC4-392596057677 1 0.7602 0.8047 0.780 0.220
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.4815 0.7959 0.104 0.896
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0672 0.8124 0.992 0.008
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 2 0.8207 0.7572 0.256 0.744
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.9944 -0.0567 0.456 0.544
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.9954 -0.0557 0.460 0.540
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 1 0.7602 0.8058 0.780 0.220
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0672 0.8124 0.992 0.008
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0672 0.8124 0.992 0.008
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 1 0.7602 0.8058 0.780 0.220
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0672 0.8124 0.992 0.008
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 1 0.7528 0.8063 0.784 0.216
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 1 0.7528 0.8063 0.784 0.216
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.2236 0.8132 0.964 0.036
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0672 0.8124 0.992 0.008
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 1 0.7602 0.8047 0.780 0.220
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0672 0.8124 0.992 0.008
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 1 0.7745 0.8001 0.772 0.228
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.3274 0.7674 0.940 0.060
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.4161 0.8015 0.084 0.916
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 1 0.7745 0.8006 0.772 0.228
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 1 0.7602 0.8047 0.780 0.220
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 2 0.7950 0.7609 0.240 0.760
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0672 0.8124 0.992 0.008
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.3431 0.8153 0.936 0.064
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 1 0.7219 0.8107 0.800 0.200
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.1414 0.8055 0.980 0.020
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0672 0.8124 0.992 0.008
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 1 0.7674 0.8024 0.776 0.224
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 1 0.8555 0.7527 0.720 0.280
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0672 0.8124 0.992 0.008
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 1 0.6048 0.8181 0.852 0.148
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0672 0.8124 0.992 0.008
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.3434 0.8922 0.064 0.904 0.032
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0592 0.9330 0.988 0.000 0.012
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.3337 0.8949 0.060 0.908 0.032
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0475 0.9390 0.992 0.004 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.3434 0.8922 0.064 0.904 0.032
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0424 0.9404 0.992 0.008 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0237 0.9267 0.004 0.996 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.1529 0.8553 0.000 0.040 0.960
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.6490 0.4489 0.012 0.628 0.360
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.2773 0.8942 0.928 0.024 0.048
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0424 0.9404 0.992 0.008 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.1643 0.9088 0.956 0.000 0.044
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.3213 0.8967 0.060 0.912 0.028
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.1529 0.8553 0.000 0.040 0.960
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.1529 0.8553 0.000 0.040 0.960
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0424 0.9404 0.992 0.008 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0237 0.9267 0.004 0.996 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.2550 0.9004 0.936 0.024 0.040
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9267 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.3434 0.8922 0.064 0.904 0.032
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 3 0.4452 0.8093 0.192 0.000 0.808
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.2066 0.8953 0.000 0.940 0.060
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.2434 0.9032 0.940 0.024 0.036
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.9379 1.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0424 0.9404 0.992 0.008 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9267 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.5733 0.6491 0.324 0.000 0.676
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0424 0.9351 0.992 0.000 0.008
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.1337 0.9294 0.972 0.012 0.016
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.4316 0.8180 0.868 0.088 0.044
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.2066 0.8953 0.000 0.940 0.060
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0237 0.9368 0.996 0.000 0.004
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0237 0.9261 0.000 0.996 0.004
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0424 0.9404 0.992 0.008 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0661 0.9392 0.988 0.008 0.004
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.9379 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.3134 0.8999 0.052 0.916 0.032
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9267 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0424 0.9404 0.992 0.008 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.3482 0.8142 0.872 0.000 0.128
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0237 0.9394 0.996 0.004 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.3134 0.8999 0.052 0.916 0.032
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.1529 0.8553 0.000 0.040 0.960
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.3213 0.8967 0.060 0.912 0.028
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.2356 0.8364 0.000 0.072 0.928
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0424 0.9351 0.992 0.000 0.008
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0237 0.9394 0.996 0.004 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.2066 0.8953 0.000 0.940 0.060
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9267 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.1525 0.9183 0.032 0.964 0.004
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.3686 0.7985 0.860 0.000 0.140
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0829 0.9359 0.984 0.004 0.012
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0237 0.9371 0.996 0.000 0.004
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0424 0.9404 0.992 0.008 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0424 0.9404 0.992 0.008 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0237 0.9261 0.000 0.996 0.004
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.5560 0.5028 0.700 0.000 0.300
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 3 0.4452 0.8093 0.192 0.000 0.808
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.3116 0.8557 0.000 0.892 0.108
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.1529 0.8553 0.000 0.040 0.960
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.9379 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.1529 0.8553 0.000 0.040 0.960
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.3434 0.8922 0.064 0.904 0.032
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.2165 0.8895 0.936 0.000 0.064
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9267 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0424 0.9404 0.992 0.008 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0424 0.9351 0.992 0.000 0.008
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0237 0.9267 0.004 0.996 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.3888 0.8843 0.064 0.888 0.048
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0424 0.9249 0.000 0.992 0.008
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.9267 0.000 1.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 3 0.4452 0.8093 0.192 0.000 0.808
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0424 0.9404 0.992 0.008 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9267 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0475 0.9390 0.992 0.004 0.004
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.9379 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0237 0.9261 0.000 0.996 0.004
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9267 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 3 0.4002 0.8221 0.160 0.000 0.840
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9267 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.5706 0.4529 0.680 0.000 0.320
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9267 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9267 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0424 0.9251 0.000 0.992 0.008
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.2773 0.8942 0.928 0.024 0.048
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.1643 0.9088 0.956 0.000 0.044
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.9379 1.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.6859 0.2822 0.016 0.564 0.420
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.1337 0.9294 0.972 0.012 0.016
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0424 0.9404 0.992 0.008 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0424 0.9404 0.992 0.008 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.1529 0.8553 0.000 0.040 0.960
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.2663 0.8974 0.932 0.024 0.044
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0237 0.9261 0.000 0.996 0.004
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.6704 0.4023 0.016 0.608 0.376
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.3434 0.8922 0.064 0.904 0.032
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0237 0.9261 0.000 0.996 0.004
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.4892 0.8307 0.112 0.840 0.048
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0661 0.9392 0.988 0.008 0.004
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0661 0.9392 0.988 0.008 0.004
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.9379 1.000 0.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0592 0.9330 0.988 0.000 0.012
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.9379 1.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.3888 0.8843 0.064 0.888 0.048
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9267 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.3888 0.8843 0.064 0.888 0.048
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9267 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0424 0.9404 0.992 0.008 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0424 0.9404 0.992 0.008 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0237 0.9261 0.000 0.996 0.004
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.9379 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.1163 0.9157 0.000 0.972 0.028
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.2689 0.9078 0.036 0.932 0.032
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.1529 0.8553 0.000 0.040 0.960
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.9267 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.3434 0.8922 0.064 0.904 0.032
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0237 0.9261 0.000 0.996 0.004
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.6291 -0.0784 0.532 0.000 0.468
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 3 0.4452 0.8093 0.192 0.000 0.808
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.3434 0.8922 0.064 0.904 0.032
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0424 0.9404 0.992 0.008 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.5902 0.6608 0.316 0.004 0.680
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0661 0.9392 0.988 0.008 0.004
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.3686 0.7985 0.860 0.000 0.140
#> D005833F-E991-4E9E-9667-55F137288004 3 0.6309 0.1790 0.496 0.000 0.504
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.6291 -0.0784 0.532 0.000 0.468
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0424 0.9404 0.992 0.008 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.2796 0.8213 0.000 0.092 0.908
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.1529 0.8553 0.000 0.040 0.960
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9267 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.2773 0.8942 0.928 0.024 0.048
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0592 0.9384 0.988 0.012 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0592 0.9384 0.988 0.012 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.9267 0.000 1.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 1 0.6904 0.4995 0.684 0.268 0.048
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.2773 0.8942 0.928 0.024 0.048
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.3434 0.8922 0.064 0.904 0.032
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0424 0.9404 0.992 0.008 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0424 0.9249 0.000 0.992 0.008
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0424 0.9404 0.992 0.008 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.4665 0.8454 0.100 0.852 0.048
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.3482 0.8142 0.872 0.000 0.128
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0592 0.9330 0.988 0.000 0.012
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0424 0.9404 0.992 0.008 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.9379 1.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0237 0.9394 0.996 0.004 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9267 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.3434 0.8922 0.064 0.904 0.032
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.6291 -0.0784 0.532 0.000 0.468
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.1482 0.9207 0.020 0.968 0.012
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.9379 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.3434 0.8922 0.064 0.904 0.032
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0424 0.9249 0.000 0.992 0.008
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.3272 0.8592 0.004 0.892 0.104
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 3 0.5810 0.6291 0.336 0.000 0.664
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.2187 0.9138 0.028 0.948 0.024
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9267 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.2550 0.9004 0.936 0.024 0.040
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.2066 0.8953 0.000 0.940 0.060
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9267 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.1529 0.8553 0.000 0.040 0.960
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0237 0.9267 0.004 0.996 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 3 0.5926 0.5881 0.356 0.000 0.644
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9267 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.2689 0.9078 0.036 0.932 0.032
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9267 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.2356 0.8364 0.000 0.072 0.928
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0424 0.9404 0.992 0.008 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 3 0.4654 0.7942 0.208 0.000 0.792
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.6529 0.4306 0.012 0.620 0.368
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.6667 0.4237 0.016 0.616 0.368
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.3888 0.8843 0.064 0.888 0.048
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0424 0.9404 0.992 0.008 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0424 0.9404 0.992 0.008 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.2689 0.9078 0.036 0.932 0.032
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0424 0.9404 0.992 0.008 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0237 0.9267 0.004 0.996 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0237 0.9267 0.004 0.996 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.2773 0.8942 0.928 0.024 0.048
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0424 0.9404 0.992 0.008 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9267 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0424 0.9404 0.992 0.008 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0424 0.9249 0.000 0.992 0.008
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.1643 0.9088 0.956 0.000 0.044
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.1529 0.8553 0.000 0.040 0.960
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.2063 0.9055 0.008 0.948 0.044
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9267 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 3 0.4452 0.8093 0.192 0.000 0.808
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0424 0.9404 0.992 0.008 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.3888 0.8470 0.888 0.064 0.048
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.4892 0.8307 0.112 0.840 0.048
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0237 0.9368 0.996 0.000 0.004
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0829 0.9366 0.984 0.012 0.004
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0237 0.9261 0.000 0.996 0.004
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.2066 0.8953 0.000 0.940 0.060
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0424 0.9404 0.992 0.008 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.6527 0.4827 0.320 0.660 0.020
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0424 0.9404 0.992 0.008 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.3123 0.866 0.000 0.844 0.000 0.156
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.1022 0.869 0.968 0.000 0.000 0.032
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.3024 0.870 0.000 0.852 0.000 0.148
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0707 0.881 0.980 0.000 0.000 0.020
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.3123 0.866 0.000 0.844 0.000 0.156
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.1022 0.875 0.968 0.000 0.000 0.032
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0336 0.913 0.000 0.992 0.000 0.008
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.983 0.000 0.000 1.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.6918 0.498 0.008 0.620 0.168 0.204
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.4331 0.612 0.712 0.000 0.000 0.288
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0469 0.880 0.988 0.000 0.000 0.012
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.1902 0.841 0.932 0.000 0.004 0.064
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.3024 0.871 0.000 0.852 0.000 0.148
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 0.983 0.000 0.000 1.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0000 0.983 0.000 0.000 1.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0707 0.879 0.980 0.000 0.000 0.020
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0469 0.913 0.000 0.988 0.000 0.012
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.3801 0.695 0.780 0.000 0.000 0.220
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0592 0.913 0.000 0.984 0.000 0.016
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.3123 0.866 0.000 0.844 0.000 0.156
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.6357 0.822 0.160 0.000 0.184 0.656
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.1970 0.883 0.000 0.932 0.060 0.008
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.3528 0.730 0.808 0.000 0.000 0.192
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0592 0.877 0.984 0.000 0.000 0.016
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0817 0.878 0.976 0.000 0.000 0.024
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0188 0.912 0.000 0.996 0.000 0.004
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 4 0.7357 0.768 0.296 0.000 0.192 0.512
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.1022 0.869 0.968 0.000 0.000 0.032
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.2760 0.795 0.872 0.000 0.000 0.128
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.5524 0.547 0.676 0.048 0.000 0.276
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.1970 0.883 0.000 0.932 0.060 0.008
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0707 0.875 0.980 0.000 0.000 0.020
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0524 0.911 0.000 0.988 0.004 0.008
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.1022 0.875 0.968 0.000 0.000 0.032
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0592 0.881 0.984 0.000 0.000 0.016
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0592 0.879 0.984 0.000 0.000 0.016
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.2921 0.875 0.000 0.860 0.000 0.140
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0188 0.912 0.000 0.996 0.000 0.004
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0469 0.880 0.988 0.000 0.000 0.012
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.3123 0.728 0.844 0.000 0.000 0.156
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0469 0.880 0.988 0.000 0.000 0.012
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.2647 0.883 0.000 0.880 0.000 0.120
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0000 0.983 0.000 0.000 1.000 0.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.3024 0.871 0.000 0.852 0.000 0.148
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.1109 0.946 0.000 0.028 0.968 0.004
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0921 0.872 0.972 0.000 0.000 0.028
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0469 0.880 0.988 0.000 0.000 0.012
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.1970 0.883 0.000 0.932 0.060 0.008
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0188 0.912 0.000 0.996 0.000 0.004
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.2125 0.899 0.004 0.920 0.000 0.076
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.3266 0.709 0.832 0.000 0.000 0.168
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0707 0.877 0.980 0.000 0.000 0.020
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0817 0.874 0.976 0.000 0.000 0.024
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0707 0.879 0.980 0.000 0.000 0.020
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.1022 0.875 0.968 0.000 0.000 0.032
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0524 0.911 0.000 0.988 0.004 0.008
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.5732 0.330 0.672 0.000 0.064 0.264
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.6357 0.822 0.160 0.000 0.184 0.656
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.2799 0.847 0.000 0.884 0.108 0.008
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.983 0.000 0.000 1.000 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0336 0.879 0.992 0.000 0.000 0.008
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.983 0.000 0.000 1.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.3074 0.868 0.000 0.848 0.000 0.152
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.2216 0.814 0.908 0.000 0.000 0.092
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0469 0.913 0.000 0.988 0.000 0.012
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0707 0.879 0.980 0.000 0.000 0.020
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0817 0.873 0.976 0.000 0.000 0.024
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0469 0.913 0.000 0.988 0.000 0.012
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.3311 0.857 0.000 0.828 0.000 0.172
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0672 0.910 0.000 0.984 0.008 0.008
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0188 0.913 0.000 0.996 0.000 0.004
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.6357 0.822 0.160 0.000 0.184 0.656
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0817 0.878 0.976 0.000 0.000 0.024
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0469 0.913 0.000 0.988 0.000 0.012
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0707 0.881 0.980 0.000 0.000 0.020
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0592 0.879 0.984 0.000 0.000 0.016
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0524 0.911 0.000 0.988 0.004 0.008
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0188 0.912 0.000 0.996 0.000 0.004
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.6359 0.755 0.132 0.000 0.220 0.648
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0188 0.912 0.000 0.996 0.000 0.004
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.5901 0.265 0.652 0.000 0.068 0.280
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0188 0.912 0.000 0.996 0.000 0.004
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0188 0.912 0.000 0.996 0.000 0.004
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0524 0.911 0.000 0.988 0.008 0.004
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.4331 0.612 0.712 0.000 0.000 0.288
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.1902 0.841 0.932 0.000 0.004 0.064
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0592 0.877 0.984 0.000 0.000 0.016
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.7448 0.368 0.012 0.556 0.172 0.260
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.2704 0.799 0.876 0.000 0.000 0.124
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0921 0.879 0.972 0.000 0.000 0.028
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.1022 0.875 0.968 0.000 0.000 0.032
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.983 0.000 0.000 1.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.4304 0.617 0.716 0.000 0.000 0.284
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0524 0.911 0.000 0.988 0.004 0.008
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.7150 0.461 0.012 0.600 0.164 0.224
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.3123 0.866 0.000 0.844 0.000 0.156
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0524 0.911 0.000 0.988 0.004 0.008
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.4348 0.817 0.024 0.780 0.000 0.196
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0817 0.876 0.976 0.000 0.000 0.024
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0707 0.878 0.980 0.000 0.000 0.020
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0817 0.877 0.976 0.000 0.000 0.024
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.1022 0.869 0.968 0.000 0.000 0.032
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0592 0.877 0.984 0.000 0.000 0.016
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.3311 0.857 0.000 0.828 0.000 0.172
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0188 0.913 0.000 0.996 0.000 0.004
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.3311 0.857 0.000 0.828 0.000 0.172
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0188 0.912 0.000 0.996 0.000 0.004
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.1022 0.875 0.968 0.000 0.000 0.032
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0188 0.880 0.996 0.000 0.000 0.004
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0524 0.911 0.000 0.988 0.004 0.008
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0592 0.879 0.984 0.000 0.000 0.016
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.1256 0.901 0.000 0.964 0.028 0.008
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.2589 0.884 0.000 0.884 0.000 0.116
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.0336 0.977 0.000 0.000 0.992 0.008
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0188 0.912 0.000 0.996 0.000 0.004
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.3123 0.866 0.000 0.844 0.000 0.156
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0524 0.911 0.000 0.988 0.004 0.008
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.5856 -0.368 0.504 0.000 0.032 0.464
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.6357 0.822 0.160 0.000 0.184 0.656
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.3123 0.866 0.000 0.844 0.000 0.156
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0188 0.880 0.996 0.000 0.000 0.004
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 4 0.7336 0.773 0.284 0.000 0.196 0.520
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0817 0.877 0.976 0.000 0.000 0.024
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.3266 0.709 0.832 0.000 0.000 0.168
#> D005833F-E991-4E9E-9667-55F137288004 4 0.6079 0.444 0.464 0.000 0.044 0.492
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.5856 -0.368 0.504 0.000 0.032 0.464
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0188 0.880 0.996 0.000 0.000 0.004
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.1576 0.913 0.000 0.048 0.948 0.004
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0000 0.983 0.000 0.000 1.000 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0592 0.913 0.000 0.984 0.000 0.016
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.4277 0.623 0.720 0.000 0.000 0.280
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.1022 0.875 0.968 0.000 0.000 0.032
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.1022 0.875 0.968 0.000 0.000 0.032
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0188 0.913 0.000 0.996 0.000 0.004
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 1 0.7353 0.198 0.516 0.196 0.000 0.288
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.4331 0.612 0.712 0.000 0.000 0.288
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.3123 0.866 0.000 0.844 0.000 0.156
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.1022 0.875 0.968 0.000 0.000 0.032
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0672 0.910 0.000 0.984 0.008 0.008
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0817 0.878 0.976 0.000 0.000 0.024
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.4182 0.830 0.024 0.796 0.000 0.180
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.3123 0.728 0.844 0.000 0.000 0.156
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.1022 0.869 0.968 0.000 0.000 0.032
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0921 0.879 0.972 0.000 0.000 0.028
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0592 0.877 0.984 0.000 0.000 0.016
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0592 0.881 0.984 0.000 0.000 0.016
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0469 0.913 0.000 0.988 0.000 0.012
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.3123 0.866 0.000 0.844 0.000 0.156
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.5856 -0.368 0.504 0.000 0.032 0.464
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.1940 0.900 0.000 0.924 0.000 0.076
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0592 0.877 0.984 0.000 0.000 0.016
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.3123 0.866 0.000 0.844 0.000 0.156
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0672 0.910 0.000 0.984 0.008 0.008
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.2973 0.849 0.000 0.884 0.096 0.020
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 4 0.6869 0.779 0.304 0.000 0.132 0.564
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.2011 0.897 0.000 0.920 0.000 0.080
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0188 0.912 0.000 0.996 0.000 0.004
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.3942 0.676 0.764 0.000 0.000 0.236
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.1970 0.883 0.000 0.932 0.060 0.008
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0592 0.913 0.000 0.984 0.000 0.016
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0000 0.983 0.000 0.000 1.000 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0336 0.913 0.000 0.992 0.000 0.008
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.6824 0.760 0.324 0.000 0.120 0.556
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0469 0.913 0.000 0.988 0.000 0.012
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.2589 0.884 0.000 0.884 0.000 0.116
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0188 0.912 0.000 0.996 0.000 0.004
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.1109 0.946 0.000 0.028 0.968 0.004
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0817 0.878 0.976 0.000 0.000 0.024
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.6362 0.823 0.176 0.000 0.168 0.656
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.6980 0.483 0.008 0.612 0.168 0.212
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.7099 0.476 0.012 0.608 0.168 0.212
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.3266 0.860 0.000 0.832 0.000 0.168
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0188 0.880 0.996 0.000 0.000 0.004
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0592 0.881 0.984 0.000 0.000 0.016
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.2589 0.884 0.000 0.884 0.000 0.116
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.1022 0.875 0.968 0.000 0.000 0.032
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0336 0.913 0.000 0.992 0.000 0.008
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0592 0.912 0.000 0.984 0.000 0.016
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.4331 0.612 0.712 0.000 0.000 0.288
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0469 0.880 0.988 0.000 0.000 0.012
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0188 0.912 0.000 0.996 0.000 0.004
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0817 0.880 0.976 0.000 0.000 0.024
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0672 0.910 0.000 0.984 0.008 0.008
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.1902 0.841 0.932 0.000 0.004 0.064
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.983 0.000 0.000 1.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.2075 0.893 0.004 0.936 0.044 0.016
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0188 0.912 0.000 0.996 0.000 0.004
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.6357 0.822 0.160 0.000 0.184 0.656
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0592 0.880 0.984 0.000 0.000 0.016
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.5383 0.550 0.672 0.036 0.000 0.292
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.4348 0.817 0.024 0.780 0.000 0.196
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0817 0.877 0.976 0.000 0.000 0.024
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.1022 0.874 0.968 0.000 0.000 0.032
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0524 0.911 0.000 0.988 0.004 0.008
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.1970 0.883 0.000 0.932 0.060 0.008
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0592 0.880 0.984 0.000 0.000 0.016
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.6790 0.481 0.200 0.608 0.000 0.192
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0336 0.880 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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.4329 0.760 0.000 0.716 0.000 0.032 0.252
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.1082 0.875 0.964 0.000 0.000 0.028 0.008
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.4163 0.777 0.000 0.740 0.000 0.032 0.228
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1331 0.886 0.952 0.000 0.000 0.008 0.040
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.4329 0.761 0.000 0.716 0.000 0.032 0.252
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.2773 0.788 0.836 0.000 0.000 0.000 0.164
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0992 0.868 0.000 0.968 0.000 0.008 0.024
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.985 0.000 0.000 1.000 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.6644 0.387 0.004 0.552 0.052 0.312 0.080
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.3807 0.773 0.240 0.000 0.000 0.012 0.748
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0865 0.885 0.972 0.000 0.000 0.004 0.024
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.1764 0.849 0.928 0.000 0.000 0.064 0.008
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.3929 0.792 0.000 0.764 0.000 0.028 0.208
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 0.985 0.000 0.000 1.000 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0000 0.985 0.000 0.000 1.000 0.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.1965 0.853 0.904 0.000 0.000 0.000 0.096
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.1082 0.867 0.000 0.964 0.000 0.008 0.028
#> 825E6C11-F460-451A-8045-846DD7D0E945 5 0.4415 0.626 0.388 0.000 0.000 0.008 0.604
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.1877 0.860 0.000 0.924 0.000 0.012 0.064
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.4302 0.764 0.000 0.720 0.000 0.032 0.248
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.2144 0.715 0.068 0.000 0.020 0.912 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.2227 0.833 0.000 0.916 0.048 0.004 0.032
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.4434 0.421 0.460 0.000 0.000 0.004 0.536
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0579 0.881 0.984 0.000 0.000 0.008 0.008
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.1732 0.866 0.920 0.000 0.000 0.000 0.080
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0162 0.866 0.000 0.996 0.000 0.000 0.004
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 4 0.4678 0.682 0.224 0.000 0.064 0.712 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.1310 0.877 0.956 0.000 0.000 0.024 0.020
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4030 0.305 0.648 0.000 0.000 0.000 0.352
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 5 0.3947 0.724 0.236 0.008 0.000 0.008 0.748
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#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0162 0.866 0.000 0.996 0.000 0.000 0.004
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.2144 0.715 0.068 0.000 0.020 0.912 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0955 0.885 0.968 0.000 0.000 0.004 0.028
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.3462 0.729 0.196 0.000 0.000 0.012 0.792
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.5043 0.644 0.000 0.600 0.000 0.044 0.356
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0807 0.887 0.976 0.000 0.000 0.012 0.012
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2471 0.802 0.864 0.000 0.000 0.000 0.136
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0992 0.869 0.000 0.968 0.000 0.008 0.024
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.2227 0.833 0.000 0.916 0.048 0.004 0.032
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0955 0.885 0.968 0.000 0.000 0.004 0.028
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 5 0.5575 -0.299 0.024 0.468 0.000 0.028 0.480
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1041 0.885 0.964 0.000 0.000 0.004 0.032
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 6 0.3823 0.6646 0.000 0.436 0.000 0.000 0.000 0.564
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0622 0.8673 0.980 0.000 0.000 0.012 0.008 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 6 0.3857 0.6174 0.000 0.468 0.000 0.000 0.000 0.532
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1387 0.8809 0.932 0.000 0.000 0.000 0.068 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 6 0.3823 0.6641 0.000 0.436 0.000 0.000 0.000 0.564
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3189 0.7548 0.760 0.000 0.000 0.000 0.236 0.004
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.2260 0.5691 0.000 0.860 0.000 0.000 0.000 0.140
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.9817 0.000 0.000 1.000 0.000 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 6 0.6698 -0.1352 0.000 0.308 0.000 0.292 0.032 0.368
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.1219 0.8383 0.048 0.000 0.000 0.000 0.948 0.004
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0790 0.8798 0.968 0.000 0.000 0.000 0.032 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.1398 0.8420 0.940 0.000 0.000 0.052 0.008 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.3867 -0.5426 0.000 0.512 0.000 0.000 0.000 0.488
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 0.9817 0.000 0.000 1.000 0.000 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0000 0.9817 0.000 0.000 1.000 0.000 0.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.2219 0.8479 0.864 0.000 0.000 0.000 0.136 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.2416 0.5548 0.000 0.844 0.000 0.000 0.000 0.156
#> 825E6C11-F460-451A-8045-846DD7D0E945 5 0.2941 0.7048 0.220 0.000 0.000 0.000 0.780 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.2597 0.5367 0.000 0.824 0.000 0.000 0.000 0.176
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 6 0.3838 0.6509 0.000 0.448 0.000 0.000 0.000 0.552
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0603 0.6532 0.016 0.000 0.000 0.980 0.004 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.3883 0.4487 0.000 0.656 0.012 0.000 0.000 0.332
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.3563 0.4928 0.336 0.000 0.000 0.000 0.664 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.8735 1.000 0.000 0.000 0.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2234 0.8553 0.872 0.000 0.000 0.000 0.124 0.004
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0458 0.6693 0.000 0.984 0.000 0.000 0.000 0.016
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 4 0.3920 0.6099 0.168 0.000 0.056 0.768 0.000 0.008
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0909 0.8679 0.968 0.000 0.000 0.012 0.020 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.3765 0.3439 0.596 0.000 0.000 0.000 0.404 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 5 0.3655 0.7742 0.112 0.000 0.000 0.000 0.792 0.096
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.3883 0.4487 0.000 0.656 0.012 0.000 0.000 0.332
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0146 0.8721 0.996 0.000 0.000 0.000 0.004 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.2454 0.6474 0.000 0.840 0.000 0.000 0.000 0.160
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.3244 0.7183 0.732 0.000 0.000 0.000 0.268 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.1814 0.8694 0.900 0.000 0.000 0.000 0.100 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.1141 0.8825 0.948 0.000 0.000 0.000 0.052 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 6 0.3869 0.5464 0.000 0.500 0.000 0.000 0.000 0.500
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0458 0.6700 0.000 0.984 0.000 0.000 0.000 0.016
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.1141 0.8804 0.948 0.000 0.000 0.000 0.052 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.2553 0.7439 0.848 0.000 0.000 0.144 0.008 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.1007 0.8811 0.956 0.000 0.000 0.000 0.044 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.3695 -0.1831 0.000 0.624 0.000 0.000 0.000 0.376
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0458 0.9746 0.000 0.000 0.984 0.000 0.000 0.016
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.3866 -0.5327 0.000 0.516 0.000 0.000 0.000 0.484
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.1398 0.9468 0.000 0.008 0.940 0.000 0.000 0.052
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0520 0.8680 0.984 0.000 0.000 0.008 0.008 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.1007 0.8811 0.956 0.000 0.000 0.000 0.044 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.3883 0.4487 0.000 0.656 0.012 0.000 0.000 0.332
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.1007 0.6617 0.000 0.956 0.000 0.000 0.000 0.044
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.3881 0.0876 0.000 0.600 0.000 0.000 0.004 0.396
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.2706 0.7242 0.832 0.000 0.000 0.160 0.008 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.1049 0.8798 0.960 0.000 0.000 0.008 0.032 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0806 0.8795 0.972 0.000 0.000 0.008 0.020 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.1957 0.8630 0.888 0.000 0.000 0.000 0.112 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.3508 0.6784 0.704 0.000 0.000 0.000 0.292 0.004
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.2454 0.6474 0.000 0.840 0.000 0.000 0.000 0.160
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.3847 0.3168 0.644 0.000 0.000 0.348 0.008 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0603 0.6532 0.016 0.000 0.000 0.980 0.004 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.4136 0.5655 0.000 0.732 0.076 0.000 0.000 0.192
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.9817 0.000 0.000 1.000 0.000 0.000 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0713 0.8804 0.972 0.000 0.000 0.000 0.028 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0146 0.9801 0.000 0.000 0.996 0.000 0.000 0.004
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 6 0.3866 0.5807 0.000 0.484 0.000 0.000 0.000 0.516
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.1757 0.8210 0.916 0.000 0.000 0.076 0.008 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.1957 0.6073 0.000 0.888 0.000 0.000 0.000 0.112
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.2219 0.8479 0.864 0.000 0.000 0.000 0.136 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0405 0.8695 0.988 0.000 0.000 0.004 0.008 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.2454 0.5515 0.000 0.840 0.000 0.000 0.000 0.160
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 6 0.4018 0.6636 0.000 0.412 0.000 0.000 0.008 0.580
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.2823 0.6107 0.000 0.796 0.000 0.000 0.000 0.204
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.1957 0.6393 0.000 0.888 0.000 0.000 0.000 0.112
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0603 0.6532 0.016 0.000 0.000 0.980 0.004 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.2454 0.8207 0.840 0.000 0.000 0.000 0.160 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.2178 0.6006 0.000 0.868 0.000 0.000 0.000 0.132
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.1387 0.8809 0.932 0.000 0.000 0.000 0.068 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.1141 0.8825 0.948 0.000 0.000 0.000 0.052 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.2491 0.6455 0.000 0.836 0.000 0.000 0.000 0.164
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0547 0.6676 0.000 0.980 0.000 0.000 0.000 0.020
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.1053 0.6280 0.004 0.000 0.000 0.964 0.012 0.020
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0458 0.6700 0.000 0.984 0.000 0.000 0.000 0.016
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.3923 0.2462 0.620 0.000 0.000 0.372 0.008 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0458 0.6700 0.000 0.984 0.000 0.000 0.000 0.016
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0458 0.6700 0.000 0.984 0.000 0.000 0.000 0.016
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.2562 0.6458 0.000 0.828 0.000 0.000 0.000 0.172
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 5 0.1219 0.8383 0.048 0.000 0.000 0.000 0.948 0.004
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.1594 0.8467 0.932 0.000 0.000 0.052 0.016 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.8735 1.000 0.000 0.000 0.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.6699 0.1201 0.000 0.280 0.000 0.356 0.032 0.332
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.3756 0.3573 0.600 0.000 0.000 0.000 0.400 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.1957 0.8634 0.888 0.000 0.000 0.000 0.112 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.3468 0.6915 0.712 0.000 0.000 0.000 0.284 0.004
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0146 0.9801 0.000 0.000 0.996 0.000 0.000 0.004
#> 6D960AE7-3769-4144-A061-E8588E5063FF 5 0.1471 0.8374 0.064 0.000 0.000 0.000 0.932 0.004
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.2454 0.6474 0.000 0.840 0.000 0.000 0.000 0.160
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 6 0.6723 -0.1379 0.000 0.312 0.000 0.320 0.032 0.336
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 6 0.3823 0.6646 0.000 0.436 0.000 0.000 0.000 0.564
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.2454 0.6474 0.000 0.840 0.000 0.000 0.000 0.160
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 6 0.4763 0.5894 0.000 0.344 0.000 0.000 0.064 0.592
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1501 0.8679 0.924 0.000 0.000 0.000 0.076 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.1327 0.8746 0.936 0.000 0.000 0.000 0.064 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0777 0.8808 0.972 0.000 0.000 0.004 0.024 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0622 0.8673 0.980 0.000 0.000 0.012 0.008 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.8735 1.000 0.000 0.000 0.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 6 0.4018 0.6636 0.000 0.412 0.000 0.000 0.008 0.580
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.1556 0.6409 0.000 0.920 0.000 0.000 0.000 0.080
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 6 0.4018 0.6636 0.000 0.412 0.000 0.000 0.008 0.580
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.2562 0.5982 0.000 0.828 0.000 0.000 0.000 0.172
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.3163 0.7596 0.764 0.000 0.000 0.000 0.232 0.004
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.1267 0.8789 0.940 0.000 0.000 0.000 0.060 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.2454 0.6474 0.000 0.840 0.000 0.000 0.000 0.160
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.1141 0.8825 0.948 0.000 0.000 0.000 0.052 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.3309 0.5101 0.000 0.720 0.000 0.000 0.000 0.280
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.3823 -0.3848 0.000 0.564 0.000 0.000 0.000 0.436
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.0405 0.9760 0.000 0.000 0.988 0.008 0.000 0.004
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.2562 0.5982 0.000 0.828 0.000 0.000 0.000 0.172
#> B588950F-14D6-41C8-845B-EFD2096013C6 6 0.3823 0.6646 0.000 0.436 0.000 0.000 0.000 0.564
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.2454 0.6474 0.000 0.840 0.000 0.000 0.000 0.160
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.4089 0.2774 0.468 0.000 0.000 0.524 0.008 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0603 0.6532 0.016 0.000 0.000 0.980 0.004 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 6 0.3847 0.6426 0.000 0.456 0.000 0.000 0.000 0.544
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.1267 0.8789 0.940 0.000 0.000 0.000 0.060 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 4 0.3874 0.6129 0.156 0.000 0.060 0.776 0.000 0.008
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.1714 0.8636 0.908 0.000 0.000 0.000 0.092 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.2706 0.7242 0.832 0.000 0.000 0.160 0.008 0.000
#> D005833F-E991-4E9E-9667-55F137288004 4 0.4045 0.3700 0.428 0.000 0.000 0.564 0.008 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.4089 0.2774 0.468 0.000 0.000 0.524 0.008 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.1267 0.8789 0.940 0.000 0.000 0.000 0.060 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.1845 0.9241 0.000 0.028 0.920 0.000 0.000 0.052
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0000 0.9817 0.000 0.000 1.000 0.000 0.000 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.1501 0.6374 0.000 0.924 0.000 0.000 0.000 0.076
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 5 0.1910 0.8180 0.108 0.000 0.000 0.000 0.892 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.3198 0.7197 0.740 0.000 0.000 0.000 0.260 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.3198 0.7197 0.740 0.000 0.000 0.000 0.260 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.2527 0.6351 0.000 0.832 0.000 0.000 0.000 0.168
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 5 0.4420 0.6004 0.032 0.020 0.000 0.000 0.692 0.256
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 5 0.1219 0.8383 0.048 0.000 0.000 0.000 0.948 0.004
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 6 0.3828 0.6615 0.000 0.440 0.000 0.000 0.000 0.560
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.3290 0.7340 0.744 0.000 0.000 0.000 0.252 0.004
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.2454 0.6407 0.000 0.840 0.000 0.000 0.000 0.160
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.2278 0.8533 0.868 0.000 0.000 0.000 0.128 0.004
#> 41183565-434D-474C-B1BD-CA6E94910658 6 0.4728 0.5320 0.000 0.392 0.000 0.000 0.052 0.556
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.2553 0.7439 0.848 0.000 0.000 0.144 0.008 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0622 0.8673 0.980 0.000 0.000 0.012 0.008 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.2823 0.7908 0.796 0.000 0.000 0.000 0.204 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.8735 1.000 0.000 0.000 0.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.1644 0.8787 0.920 0.000 0.000 0.004 0.076 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.1957 0.6073 0.000 0.888 0.000 0.000 0.000 0.112
#> 64552DC0-181E-4607-898C-787AA7F26435 6 0.3823 0.6646 0.000 0.436 0.000 0.000 0.000 0.564
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.4089 0.2774 0.468 0.000 0.000 0.524 0.008 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.3607 -0.0224 0.000 0.652 0.000 0.000 0.000 0.348
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.8735 1.000 0.000 0.000 0.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 6 0.3833 0.6590 0.000 0.444 0.000 0.000 0.000 0.556
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.1610 0.6702 0.000 0.916 0.000 0.000 0.000 0.084
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.5131 0.3086 0.000 0.536 0.012 0.028 0.016 0.408
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 4 0.2838 0.6182 0.188 0.000 0.000 0.808 0.000 0.004
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.3409 0.1425 0.000 0.700 0.000 0.000 0.000 0.300
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0458 0.6700 0.000 0.984 0.000 0.000 0.000 0.016
#> DC5A2C9E-978F-4661-B729-1F9662976E27 5 0.2697 0.7458 0.188 0.000 0.000 0.000 0.812 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.3883 0.4487 0.000 0.656 0.012 0.000 0.000 0.332
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.1501 0.6374 0.000 0.924 0.000 0.000 0.000 0.076
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0000 0.9817 0.000 0.000 1.000 0.000 0.000 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.2260 0.5691 0.000 0.860 0.000 0.000 0.000 0.140
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.3301 0.6000 0.216 0.000 0.000 0.772 0.008 0.004
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.1957 0.6073 0.000 0.888 0.000 0.000 0.000 0.112
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.3797 -0.3310 0.000 0.580 0.000 0.000 0.000 0.420
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.2562 0.5982 0.000 0.828 0.000 0.000 0.000 0.172
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.1398 0.9468 0.000 0.008 0.940 0.000 0.000 0.052
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2278 0.8533 0.868 0.000 0.000 0.000 0.128 0.004
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0972 0.6545 0.028 0.000 0.000 0.964 0.008 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 6 0.6700 -0.1447 0.000 0.300 0.000 0.300 0.032 0.368
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 6 0.6699 -0.1523 0.000 0.296 0.000 0.304 0.032 0.368
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 6 0.4025 0.6636 0.000 0.416 0.000 0.000 0.008 0.576
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.1267 0.8789 0.940 0.000 0.000 0.000 0.060 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.2300 0.8453 0.856 0.000 0.000 0.000 0.144 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.3797 -0.3397 0.000 0.580 0.000 0.000 0.000 0.420
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.3508 0.6784 0.704 0.000 0.000 0.000 0.292 0.004
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.2219 0.5744 0.000 0.864 0.000 0.000 0.000 0.136
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.2941 0.4614 0.000 0.780 0.000 0.000 0.000 0.220
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 5 0.1219 0.8383 0.048 0.000 0.000 0.000 0.948 0.004
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.1141 0.8819 0.948 0.000 0.000 0.000 0.052 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0790 0.6644 0.000 0.968 0.000 0.000 0.000 0.032
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.1910 0.8655 0.892 0.000 0.000 0.000 0.108 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.1610 0.6702 0.000 0.916 0.000 0.000 0.000 0.084
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.1398 0.8420 0.940 0.000 0.000 0.052 0.008 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.9817 0.000 0.000 1.000 0.000 0.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.4087 0.4983 0.000 0.720 0.000 0.012 0.028 0.240
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0363 0.6695 0.000 0.988 0.000 0.000 0.000 0.012
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0603 0.6532 0.016 0.000 0.000 0.980 0.004 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0865 0.8798 0.964 0.000 0.000 0.000 0.036 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.1480 0.7917 0.020 0.000 0.000 0.000 0.940 0.040
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 6 0.4775 0.5888 0.000 0.348 0.000 0.000 0.064 0.588
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0858 0.8797 0.968 0.000 0.000 0.004 0.028 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2969 0.7446 0.776 0.000 0.000 0.000 0.224 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.2135 0.6507 0.000 0.872 0.000 0.000 0.000 0.128
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.3883 0.4487 0.000 0.656 0.012 0.000 0.000 0.332
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0865 0.8798 0.964 0.000 0.000 0.000 0.036 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.6250 -0.1305 0.004 0.344 0.000 0.000 0.320 0.332
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1204 0.8797 0.944 0.000 0.000 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["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 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.988 0.995 0.5029 0.497 0.497
#> 3 3 1.000 0.974 0.986 0.2191 0.863 0.730
#> 4 4 0.728 0.717 0.830 0.1255 0.933 0.827
#> 5 5 0.684 0.486 0.641 0.0788 0.852 0.578
#> 6 6 0.670 0.664 0.776 0.0529 0.878 0.574
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.991 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 1.000 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.991 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 1.000 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.991 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 1.000 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.991 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0000 0.991 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 0.991 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 1.000 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 1.000 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 1.000 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.991 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0000 0.991 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.0000 0.991 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 1.000 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.991 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 1.000 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.991 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.991 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0000 1.000 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.0000 0.991 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 1.000 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 1.000 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 1.000 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.991 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.0000 1.000 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 1.000 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0000 1.000 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0000 1.000 1.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.991 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 1.000 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.991 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 1.000 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 1.000 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 1.000 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.991 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.991 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 1.000 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 1.000 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 1.000 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.991 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.0000 0.991 0.000 1.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.991 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.0000 0.991 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 1.000 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 1.000 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.991 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.991 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.991 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 1.000 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 1.000 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 1.000 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 1.000 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0000 1.000 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.991 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 1.000 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0000 1.000 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 0.991 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.0000 0.991 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 1.000 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 2 0.6801 0.780 0.180 0.820
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.991 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 1.000 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.991 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 1.000 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 1.000 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.991 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.991 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.991 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.991 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0000 1.000 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 1.000 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.991 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 1.000 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 1.000 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.991 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.991 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.0000 1.000 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.991 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 1.000 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.991 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.991 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0000 0.991 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 1.000 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 1.000 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 1.000 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.9522 0.418 0.372 0.628
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 1.000 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 1.000 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0000 1.000 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 2 0.9427 0.447 0.360 0.640
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 1.000 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 0.991 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.0000 0.991 0.000 1.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.991 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.991 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 0.991 0.000 1.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 1.000 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 1.000 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 1.000 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 1.000 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 1.000 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.991 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.991 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.991 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.991 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 1.000 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 1.000 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.991 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 1.000 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.991 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.991 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.0000 1.000 1.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.991 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.991 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.991 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0000 1.000 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0000 1.000 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.991 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 1.000 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.0000 1.000 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 1.000 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 1.000 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 1.000 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0000 1.000 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 1.000 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 0.991 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.0000 0.991 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.991 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 1.000 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 1.000 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 1.000 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.991 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.991 0.000 1.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 1.000 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.991 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 1.000 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.991 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 1.000 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 0.991 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 1.000 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 1.000 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 1.000 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 1.000 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 1.000 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.991 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.991 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 1.000 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.991 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 1.000 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.991 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.991 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.0000 0.991 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 1.000 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.991 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.991 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 1.000 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.991 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.991 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.0000 0.991 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.991 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 1.000 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.991 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.991 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.991 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.0000 0.991 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 1.000 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 1.000 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.0000 0.991 0.000 1.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.0376 0.987 0.004 0.996
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.991 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 1.000 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 1.000 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.991 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 1.000 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.991 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.991 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 1.000 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 1.000 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.991 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 1.000 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.991 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 1.000 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.0000 0.991 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.991 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.991 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 1.000 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 1.000 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.0938 0.988 0.988 0.012
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.991 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 1.000 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 1.000 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.991 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.991 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 1.000 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.991 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 1.000 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.998 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.997 1.000 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.998 0.000 1.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.997 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.998 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.997 1.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.998 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0424 0.921 0.000 0.008 0.992
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 0.998 0.000 1.000 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0424 0.993 0.992 0.000 0.008
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.997 1.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 0.997 1.000 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.998 0.000 1.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0424 0.921 0.000 0.008 0.992
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0424 0.921 0.000 0.008 0.992
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.997 1.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.998 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0424 0.993 0.992 0.000 0.008
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.998 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.998 0.000 1.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 3 0.4887 0.738 0.228 0.000 0.772
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.5968 0.469 0.000 0.364 0.636
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.997 1.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.997 1.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.997 1.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.998 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.4842 0.740 0.224 0.000 0.776
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.997 1.000 0.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0424 0.993 0.992 0.000 0.008
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0424 0.993 0.992 0.000 0.008
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.1529 0.958 0.000 0.960 0.040
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.997 1.000 0.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.998 0.000 1.000 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.997 1.000 0.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.997 1.000 0.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.997 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.998 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.998 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.997 1.000 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.997 1.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.997 1.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.998 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0000 0.919 0.000 0.000 1.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.998 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.0424 0.921 0.000 0.008 0.992
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.997 1.000 0.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.997 1.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.1529 0.958 0.000 0.960 0.040
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.998 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.998 0.000 1.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.997 1.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.997 1.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.997 1.000 0.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.997 1.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0424 0.993 0.992 0.000 0.008
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.998 0.000 1.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.997 1.000 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 3 0.4842 0.743 0.224 0.000 0.776
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.1529 0.958 0.000 0.960 0.040
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0424 0.921 0.000 0.008 0.992
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.997 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.919 0.000 0.000 1.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.998 0.000 1.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.997 1.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.998 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.997 1.000 0.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.997 1.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.998 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.998 0.000 1.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0592 0.987 0.000 0.988 0.012
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.998 0.000 1.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 3 0.0592 0.919 0.012 0.000 0.988
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0424 0.993 0.992 0.000 0.008
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.998 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.997 1.000 0.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.997 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.998 0.000 1.000 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.998 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 3 0.0592 0.919 0.012 0.000 0.988
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.998 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 0.997 1.000 0.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.998 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.998 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0000 0.998 0.000 1.000 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0424 0.993 0.992 0.000 0.008
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 0.997 1.000 0.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.997 1.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.0424 0.920 0.008 0.000 0.992
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0424 0.993 0.992 0.000 0.008
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.997 1.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0424 0.993 0.992 0.000 0.008
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.919 0.000 0.000 1.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0424 0.993 0.992 0.000 0.008
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 0.998 0.000 1.000 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.0592 0.919 0.000 0.012 0.988
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.998 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.998 0.000 1.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 0.998 0.000 1.000 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.997 1.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.997 1.000 0.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.997 1.000 0.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.997 1.000 0.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.997 1.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.998 0.000 1.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.998 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.998 0.000 1.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.998 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0424 0.993 0.992 0.000 0.008
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.997 1.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.998 0.000 1.000 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.997 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.998 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.998 0.000 1.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.0000 0.919 0.000 0.000 1.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.998 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.998 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.998 0.000 1.000 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0000 0.997 1.000 0.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 3 0.4887 0.738 0.228 0.000 0.772
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.998 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.997 1.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.0424 0.920 0.008 0.000 0.992
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0424 0.993 0.992 0.000 0.008
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.997 1.000 0.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.997 1.000 0.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0000 0.997 1.000 0.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.997 1.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.1529 0.903 0.000 0.040 0.960
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0424 0.921 0.000 0.008 0.992
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.998 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0424 0.993 0.992 0.000 0.008
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0424 0.993 0.992 0.000 0.008
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.997 1.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.998 0.000 1.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0424 0.990 0.000 0.992 0.008
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0424 0.993 0.992 0.000 0.008
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.998 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.997 1.000 0.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.998 0.000 1.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.997 1.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 0.998 0.000 1.000 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.997 1.000 0.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.997 1.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0237 0.995 0.996 0.000 0.004
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.997 1.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.997 1.000 0.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.998 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.998 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.997 1.000 0.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.998 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.997 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.998 0.000 1.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.998 0.000 1.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.2066 0.889 0.000 0.060 0.940
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.997 1.000 0.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.998 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.998 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0424 0.993 0.992 0.000 0.008
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 3 0.5968 0.469 0.000 0.364 0.636
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.998 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0424 0.921 0.000 0.008 0.992
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.998 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.997 1.000 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.998 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.998 0.000 1.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.998 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.0424 0.921 0.000 0.008 0.992
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.997 1.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 3 0.4887 0.738 0.228 0.000 0.772
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.0000 0.998 0.000 1.000 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.0475 0.921 0.004 0.004 0.992
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.998 0.000 1.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.997 1.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.997 1.000 0.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.998 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0424 0.993 0.992 0.000 0.008
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.998 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.998 0.000 1.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0424 0.993 0.992 0.000 0.008
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.997 1.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.998 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.997 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.998 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 0.997 1.000 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0424 0.921 0.000 0.008 0.992
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.998 0.000 1.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.998 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 3 0.0592 0.919 0.012 0.000 0.988
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.997 1.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.2955 0.889 0.912 0.080 0.008
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.998 0.000 1.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.997 1.000 0.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.997 1.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.998 0.000 1.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 3 0.4555 0.748 0.000 0.200 0.800
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.997 1.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.998 0.000 1.000 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.997 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0336 0.87756 0.000 0.992 0.000 0.008
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.4855 -0.18521 0.600 0.000 0.000 0.400
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0592 0.87669 0.000 0.984 0.000 0.016
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.84654 1.000 0.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0592 0.87669 0.000 0.984 0.000 0.016
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0188 0.84580 0.996 0.000 0.000 0.004
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0707 0.88013 0.000 0.980 0.000 0.020
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.72276 0.000 0.000 1.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4585 0.70883 0.000 0.668 0.000 0.332
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.2469 0.81603 0.892 0.000 0.000 0.108
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0188 0.84659 0.996 0.000 0.000 0.004
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.4989 0.62176 0.472 0.000 0.000 0.528
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.1557 0.87854 0.000 0.944 0.000 0.056
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0188 0.72320 0.000 0.000 0.996 0.004
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0188 0.72320 0.000 0.000 0.996 0.004
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.1867 0.83256 0.928 0.000 0.000 0.072
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0188 0.87748 0.000 0.996 0.000 0.004
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.2469 0.81603 0.892 0.000 0.000 0.108
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.1211 0.87865 0.000 0.960 0.000 0.040
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0592 0.87669 0.000 0.984 0.000 0.016
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.6966 0.24574 0.132 0.000 0.328 0.540
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.7191 0.50232 0.000 0.156 0.516 0.328
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.2469 0.81603 0.892 0.000 0.000 0.108
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.1118 0.83323 0.964 0.000 0.000 0.036
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#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.1302 0.83703 0.956 0.000 0.000 0.044
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.6344 0.39007 0.648 0.224 0.000 0.128
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0707 0.87754 0.000 0.980 0.000 0.020
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.1867 0.80640 0.928 0.000 0.000 0.072
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2408 0.81842 0.896 0.000 0.000 0.104
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.4522 0.71741 0.000 0.680 0.000 0.320
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 3 0.7270 0.48491 0.000 0.164 0.504 0.332
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.1302 0.83703 0.956 0.000 0.000 0.044
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.1211 0.87428 0.000 0.960 0.000 0.040
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1022 0.84318 0.968 0.000 0.000 0.032
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.1557 0.86292 0.000 0.940 0.008 0.000 0.052
#> 18B45F1F-234F-45CC-A234-145307606C5C 5 0.6262 0.50067 0.164 0.000 0.000 0.332 0.504
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.1877 0.85773 0.000 0.924 0.012 0.000 0.064
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.4192 0.19595 0.596 0.000 0.000 0.000 0.404
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.2006 0.85411 0.000 0.916 0.012 0.000 0.072
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.4268 0.05907 0.556 0.000 0.000 0.000 0.444
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.87331 0.000 1.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.6673 0.20564 0.000 0.000 0.388 0.232 0.380
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 3 0.5548 0.31096 0.000 0.356 0.576 0.060 0.008
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0404 0.51468 0.988 0.000 0.000 0.000 0.012
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.4273 -0.00336 0.552 0.000 0.000 0.000 0.448
#> 755A5806-B054-449A-93DB-79909E6C93A1 5 0.5778 0.20586 0.088 0.000 0.000 0.448 0.464
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.1648 0.86802 0.000 0.940 0.040 0.000 0.020
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.6566 0.22769 0.000 0.000 0.416 0.204 0.380
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.6566 0.22769 0.000 0.000 0.416 0.204 0.380
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.3366 0.46424 0.768 0.000 0.000 0.000 0.232
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.87331 0.000 1.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.52241 1.000 0.000 0.000 0.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0693 0.87113 0.000 0.980 0.012 0.000 0.008
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.2006 0.85411 0.000 0.916 0.012 0.000 0.072
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.2171 0.74490 0.024 0.000 0.000 0.912 0.064
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.2408 0.54063 0.000 0.096 0.892 0.008 0.004
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.1043 0.52744 0.960 0.000 0.000 0.000 0.040
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4304 -0.15608 0.516 0.000 0.000 0.000 0.484
#> D9514D49-A0AE-45AB-8C9F-68E726215253 5 0.4302 0.24414 0.480 0.000 0.000 0.000 0.520
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.1082 0.86603 0.000 0.964 0.028 0.000 0.008
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 4 0.2882 0.73075 0.024 0.000 0.028 0.888 0.060
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 5 0.6417 0.53287 0.280 0.000 0.000 0.216 0.504
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.2561 0.47942 0.856 0.000 0.000 0.000 0.144
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0404 0.51468 0.988 0.000 0.000 0.000 0.012
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 3 0.2561 0.56403 0.000 0.144 0.856 0.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 5 0.5983 0.50495 0.380 0.000 0.000 0.116 0.504
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.4537 0.24817 0.000 0.396 0.592 0.000 0.012
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.3210 0.47611 0.788 0.000 0.000 0.000 0.212
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.3274 0.47101 0.780 0.000 0.000 0.000 0.220
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.4278 0.03413 0.548 0.000 0.000 0.000 0.452
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0703 0.87188 0.000 0.976 0.000 0.000 0.024
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.3885 0.57657 0.000 0.724 0.268 0.000 0.008
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 5 0.4306 0.22287 0.492 0.000 0.000 0.000 0.508
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 5 0.5747 0.33597 0.088 0.000 0.000 0.408 0.504
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 5 0.4302 0.24414 0.480 0.000 0.000 0.000 0.520
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0162 0.87336 0.000 0.996 0.000 0.000 0.004
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.6602 0.22488 0.000 0.000 0.424 0.216 0.360
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0162 0.87336 0.000 0.996 0.000 0.000 0.004
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.4701 0.36075 0.000 0.000 0.720 0.076 0.204
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 5 0.6226 0.54259 0.340 0.000 0.000 0.156 0.504
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 5 0.4307 0.18237 0.500 0.000 0.000 0.000 0.500
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 3 0.2605 0.56443 0.000 0.148 0.852 0.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.1484 0.85644 0.000 0.944 0.048 0.000 0.008
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.2423 0.84700 0.000 0.896 0.024 0.000 0.080
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 5 0.5773 0.24854 0.088 0.000 0.000 0.436 0.476
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 5 0.4302 0.24414 0.480 0.000 0.000 0.000 0.520
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 5 0.6140 0.48258 0.140 0.000 0.000 0.356 0.504
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 5 0.4304 0.22534 0.484 0.000 0.000 0.000 0.516
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0794 0.52025 0.972 0.000 0.000 0.000 0.028
#> E19D5463-FDD0-41C1-A170-323736A88D07 3 0.4547 0.24566 0.000 0.400 0.588 0.000 0.012
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.4268 0.67793 0.084 0.000 0.000 0.772 0.144
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.2104 0.74336 0.024 0.000 0.000 0.916 0.060
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.2424 0.56132 0.000 0.132 0.868 0.000 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.6660 0.20912 0.000 0.000 0.392 0.228 0.380
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.4294 -0.06226 0.532 0.000 0.000 0.000 0.468
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.6619 0.22247 0.000 0.000 0.420 0.220 0.360
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.2236 0.85379 0.000 0.908 0.024 0.000 0.068
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 5 0.5768 0.27557 0.088 0.000 0.000 0.428 0.484
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0798 0.87016 0.000 0.976 0.016 0.000 0.008
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.3752 0.40946 0.708 0.000 0.000 0.000 0.292
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 5 0.4302 0.24414 0.480 0.000 0.000 0.000 0.520
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.87331 0.000 1.000 0.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.2582 0.84456 0.004 0.892 0.024 0.000 0.080
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 3 0.2605 0.56443 0.000 0.148 0.852 0.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0290 0.87400 0.000 0.992 0.008 0.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.3304 0.58755 0.004 0.000 0.028 0.840 0.128
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.2329 0.49762 0.876 0.000 0.000 0.000 0.124
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.1981 0.85172 0.000 0.920 0.064 0.000 0.016
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.4210 0.16126 0.588 0.000 0.000 0.000 0.412
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.4304 -0.10553 0.516 0.000 0.000 0.000 0.484
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.4387 0.33282 0.000 0.348 0.640 0.000 0.012
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.2077 0.83127 0.000 0.908 0.084 0.000 0.008
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.3146 0.58212 0.000 0.000 0.028 0.844 0.128
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.2753 0.77842 0.000 0.856 0.136 0.000 0.008
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.4681 0.65384 0.084 0.000 0.000 0.728 0.188
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.2753 0.77842 0.000 0.856 0.136 0.000 0.008
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.1082 0.86603 0.000 0.964 0.028 0.000 0.008
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.3039 0.53810 0.000 0.192 0.808 0.000 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.52241 1.000 0.000 0.000 0.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 5 0.6112 0.52905 0.344 0.000 0.000 0.140 0.516
#> 83B88608-0506-428C-B9E8-621F38477B42 5 0.5488 0.41317 0.428 0.000 0.000 0.064 0.508
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.1704 0.67743 0.000 0.000 0.068 0.928 0.004
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0703 0.52036 0.976 0.000 0.000 0.000 0.024
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 5 0.5960 0.52459 0.352 0.000 0.000 0.120 0.528
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0880 0.52167 0.968 0.000 0.000 0.000 0.032
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.6647 0.20937 0.000 0.000 0.392 0.224 0.384
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.52241 1.000 0.000 0.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.4430 0.32048 0.000 0.360 0.628 0.000 0.012
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.2230 0.64891 0.000 0.000 0.116 0.884 0.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0880 0.87063 0.000 0.968 0.000 0.000 0.032
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.4632 0.13327 0.000 0.540 0.448 0.000 0.012
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.2166 0.85338 0.000 0.912 0.012 0.004 0.072
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.6003 -0.40332 0.444 0.000 0.000 0.112 0.444
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.4030 0.24013 0.648 0.000 0.000 0.000 0.352
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 5 0.4307 0.21521 0.496 0.000 0.000 0.000 0.504
#> F9DD688C-7B35-49E7-9651-2E098EE78856 5 0.6226 0.54259 0.340 0.000 0.000 0.156 0.504
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4307 -0.21807 0.504 0.000 0.000 0.000 0.496
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.2582 0.84456 0.004 0.892 0.024 0.000 0.080
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0579 0.87194 0.000 0.984 0.008 0.000 0.008
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.2582 0.84456 0.004 0.892 0.024 0.000 0.080
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0451 0.87242 0.000 0.988 0.004 0.000 0.008
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.1043 0.52534 0.960 0.000 0.000 0.000 0.040
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.4273 0.02657 0.552 0.000 0.000 0.000 0.448
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 3 0.4547 0.24566 0.000 0.400 0.588 0.000 0.012
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.4294 -0.01782 0.532 0.000 0.000 0.000 0.468
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 3 0.4538 0.12424 0.000 0.452 0.540 0.000 0.008
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.2236 0.85379 0.000 0.908 0.024 0.000 0.068
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 4 0.6821 -0.13876 0.000 0.000 0.320 0.352 0.328
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 3 0.4522 0.14908 0.000 0.440 0.552 0.000 0.008
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0880 0.87063 0.000 0.968 0.000 0.000 0.032
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.5756 0.15919 0.004 0.512 0.408 0.000 0.076
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.5700 0.10289 0.088 0.000 0.000 0.532 0.380
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.2761 0.74675 0.024 0.000 0.000 0.872 0.104
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0162 0.87336 0.000 0.996 0.000 0.000 0.004
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.4268 0.04503 0.556 0.000 0.000 0.000 0.444
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 4 0.2610 0.63686 0.004 0.000 0.028 0.892 0.076
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.1341 0.51044 0.944 0.000 0.000 0.000 0.056
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 5 0.6069 0.53700 0.340 0.000 0.000 0.136 0.524
#> D005833F-E991-4E9E-9667-55F137288004 4 0.4953 0.60062 0.088 0.000 0.000 0.696 0.216
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.4953 0.60062 0.088 0.000 0.000 0.696 0.216
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.4268 0.04503 0.556 0.000 0.000 0.000 0.444
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.1990 0.52731 0.000 0.068 0.920 0.008 0.004
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.6673 0.20564 0.000 0.000 0.388 0.232 0.380
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0290 0.87263 0.000 0.992 0.000 0.000 0.008
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.52241 1.000 0.000 0.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0162 0.52356 0.996 0.000 0.000 0.000 0.004
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.3707 0.40894 0.716 0.000 0.000 0.000 0.284
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.2423 0.84700 0.000 0.896 0.024 0.000 0.080
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.5049 0.61199 0.188 0.724 0.012 0.004 0.072
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0404 0.51468 0.988 0.000 0.000 0.000 0.012
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0162 0.87336 0.000 0.996 0.000 0.000 0.004
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.4235 0.13780 0.576 0.000 0.000 0.000 0.424
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 3 0.4527 0.24983 0.000 0.392 0.596 0.000 0.012
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.4227 0.14633 0.580 0.000 0.000 0.000 0.420
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.5978 0.00678 0.004 0.468 0.444 0.004 0.080
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 5 0.6163 0.49216 0.144 0.000 0.000 0.352 0.504
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 5 0.6226 0.54259 0.340 0.000 0.000 0.156 0.504
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.3534 0.45102 0.744 0.000 0.000 0.000 0.256
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.4304 -0.15608 0.516 0.000 0.000 0.000 0.484
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 5 0.4302 0.24414 0.480 0.000 0.000 0.000 0.520
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.1408 0.86283 0.000 0.948 0.044 0.000 0.008
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.1270 0.86566 0.000 0.948 0.000 0.000 0.052
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.4953 0.60062 0.088 0.000 0.000 0.696 0.216
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.87331 0.000 1.000 0.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 5 0.5785 0.46706 0.404 0.000 0.000 0.092 0.504
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.1670 0.86181 0.000 0.936 0.012 0.000 0.052
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 3 0.4201 0.24382 0.000 0.408 0.592 0.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.3859 0.51138 0.000 0.084 0.816 0.096 0.004
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 4 0.4800 0.64808 0.088 0.000 0.000 0.716 0.196
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0162 0.87336 0.000 0.996 0.000 0.000 0.004
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.3934 0.56149 0.000 0.716 0.276 0.000 0.008
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.52241 1.000 0.000 0.000 0.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 3 0.2722 0.55450 0.000 0.120 0.868 0.008 0.004
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0898 0.86888 0.000 0.972 0.020 0.000 0.008
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.6673 0.20564 0.000 0.000 0.388 0.232 0.380
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0992 0.86760 0.000 0.968 0.024 0.000 0.008
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.4647 0.65802 0.084 0.000 0.000 0.732 0.184
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0992 0.86760 0.000 0.968 0.024 0.000 0.008
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.1670 0.86181 0.000 0.936 0.012 0.000 0.052
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.2462 0.80392 0.000 0.880 0.112 0.000 0.008
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.5639 0.29388 0.000 0.000 0.568 0.092 0.340
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.4297 -0.04340 0.528 0.000 0.000 0.000 0.472
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.2813 0.74522 0.024 0.000 0.000 0.868 0.108
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.5647 0.27636 0.000 0.372 0.556 0.064 0.008
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.4397 0.07892 0.000 0.000 0.564 0.432 0.004
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.2582 0.84456 0.004 0.892 0.024 0.000 0.080
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.4268 0.04503 0.556 0.000 0.000 0.000 0.444
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.3395 0.46021 0.764 0.000 0.000 0.000 0.236
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0807 0.87468 0.000 0.976 0.012 0.000 0.012
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0794 0.52025 0.972 0.000 0.000 0.000 0.028
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0290 0.87263 0.000 0.992 0.000 0.000 0.008
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0693 0.87295 0.000 0.980 0.012 0.000 0.008
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0404 0.51468 0.988 0.000 0.000 0.000 0.012
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.4278 0.04482 0.548 0.000 0.000 0.000 0.452
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.1557 0.85388 0.000 0.940 0.052 0.000 0.008
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.4300 -0.06449 0.524 0.000 0.000 0.000 0.476
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.4555 0.05770 0.000 0.520 0.472 0.000 0.008
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 5 0.6443 0.44954 0.180 0.000 0.000 0.376 0.444
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.6584 0.22510 0.000 0.000 0.412 0.208 0.380
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.4517 0.38525 0.000 0.616 0.372 0.004 0.008
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.2193 0.82271 0.000 0.900 0.092 0.000 0.008
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.3304 0.58755 0.004 0.000 0.028 0.840 0.128
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.4235 0.08620 0.576 0.000 0.000 0.000 0.424
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.3615 0.35822 0.844 0.064 0.008 0.004 0.080
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.2166 0.85338 0.000 0.912 0.012 0.004 0.072
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.4965 0.32903 0.452 0.000 0.000 0.028 0.520
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2471 0.50752 0.864 0.000 0.000 0.000 0.136
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.4562 -0.03357 0.000 0.496 0.496 0.000 0.008
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 3 0.3007 0.54406 0.000 0.104 0.864 0.028 0.004
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.4235 0.08620 0.576 0.000 0.000 0.000 0.424
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.4645 0.70208 0.004 0.756 0.156 0.004 0.080
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.4227 0.13559 0.580 0.000 0.000 0.000 0.420
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.4013 0.74887 0.000 0.748 0.012 0.028 0.208 0.004
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.5088 0.45038 0.620 0.000 0.000 0.268 0.004 0.108
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.4636 0.72445 0.000 0.708 0.012 0.036 0.224 0.020
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.3149 0.55737 0.824 0.000 0.000 0.000 0.132 0.044
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.4636 0.72445 0.000 0.708 0.012 0.036 0.224 0.020
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3076 0.58642 0.840 0.000 0.000 0.004 0.112 0.044
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0862 0.81057 0.000 0.972 0.000 0.008 0.016 0.004
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0725 0.90734 0.000 0.000 0.976 0.012 0.000 0.012
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 6 0.4469 0.77927 0.000 0.192 0.004 0.072 0.008 0.724
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.3390 0.84870 0.296 0.000 0.000 0.000 0.704 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.2583 0.66281 0.884 0.000 0.000 0.008 0.056 0.052
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.5608 -0.02049 0.440 0.000 0.000 0.432 0.004 0.124
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.3286 0.79193 0.000 0.844 0.000 0.028 0.084 0.044
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0858 0.90839 0.000 0.000 0.968 0.004 0.000 0.028
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0858 0.90839 0.000 0.000 0.968 0.004 0.000 0.028
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.4299 0.02463 0.652 0.000 0.000 0.000 0.308 0.040
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0632 0.81107 0.000 0.976 0.000 0.000 0.024 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 5 0.3446 0.85541 0.308 0.000 0.000 0.000 0.692 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.1282 0.80312 0.000 0.956 0.004 0.012 0.004 0.024
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.4636 0.72445 0.000 0.708 0.012 0.036 0.224 0.020
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.1923 0.80439 0.016 0.000 0.064 0.916 0.000 0.004
#> EDD7E63D-492A-473B-A552-0764337B10EF 6 0.3530 0.66854 0.000 0.056 0.152 0.000 0.000 0.792
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.4531 0.76788 0.408 0.000 0.000 0.000 0.556 0.036
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.1599 0.68320 0.940 0.000 0.000 0.008 0.024 0.028
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.2454 0.68493 0.884 0.000 0.000 0.020 0.008 0.088
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.1334 0.79113 0.000 0.948 0.000 0.020 0.000 0.032
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 4 0.3061 0.79488 0.024 0.000 0.068 0.868 0.012 0.028
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.4838 0.54781 0.676 0.000 0.000 0.192 0.004 0.128
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4884 -0.27091 0.564 0.000 0.000 0.008 0.380 0.048
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 5 0.3565 0.84669 0.304 0.000 0.000 0.000 0.692 0.004
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 6 0.3637 0.77153 0.000 0.124 0.084 0.000 0.000 0.792
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.3297 0.66666 0.832 0.000 0.000 0.060 0.008 0.100
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.3890 0.80050 0.000 0.204 0.000 0.008 0.036 0.752
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.4458 -0.20194 0.608 0.000 0.000 0.000 0.352 0.040
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4443 0.06947 0.656 0.000 0.000 0.008 0.300 0.036
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.2190 0.64794 0.900 0.000 0.000 0.000 0.060 0.040
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.2826 0.79389 0.000 0.856 0.008 0.024 0.112 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.3734 0.38740 0.000 0.716 0.000 0.020 0.000 0.264
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.2262 0.68929 0.896 0.000 0.000 0.016 0.008 0.080
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.5255 0.32290 0.572 0.000 0.000 0.320 0.004 0.104
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.1946 0.69297 0.912 0.000 0.000 0.012 0.004 0.072
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.1477 0.80961 0.000 0.940 0.004 0.008 0.048 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.1655 0.89560 0.000 0.000 0.932 0.008 0.008 0.052
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.1826 0.81043 0.000 0.924 0.004 0.020 0.052 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.4025 0.37724 0.000 0.000 0.576 0.000 0.008 0.416
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.4053 0.62597 0.764 0.000 0.000 0.104 0.004 0.128
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.1921 0.69454 0.920 0.000 0.000 0.012 0.012 0.056
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 6 0.3917 0.77128 0.000 0.124 0.084 0.004 0.004 0.784
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.2133 0.77884 0.000 0.912 0.000 0.016 0.020 0.052
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.4707 0.69900 0.000 0.676 0.008 0.032 0.264 0.020
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.5575 0.00904 0.456 0.000 0.000 0.420 0.004 0.120
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.2326 0.68737 0.888 0.000 0.000 0.012 0.008 0.092
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.4970 0.49208 0.640 0.000 0.000 0.252 0.004 0.104
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0976 0.69247 0.968 0.000 0.000 0.008 0.008 0.016
#> C775B68F-9507-47E3-B507-B433AED79002 5 0.4583 0.80992 0.376 0.000 0.000 0.000 0.580 0.044
#> E19D5463-FDD0-41C1-A170-323736A88D07 6 0.3890 0.80050 0.000 0.204 0.000 0.008 0.036 0.752
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.1556 0.79964 0.080 0.000 0.000 0.920 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.1923 0.80439 0.016 0.000 0.064 0.916 0.000 0.004
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 6 0.3595 0.77097 0.000 0.120 0.084 0.000 0.000 0.796
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0508 0.90501 0.000 0.000 0.984 0.012 0.000 0.004
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.1649 0.67289 0.932 0.000 0.000 0.000 0.036 0.032
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.1523 0.89548 0.000 0.000 0.940 0.008 0.008 0.044
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.4641 0.70867 0.000 0.688 0.008 0.032 0.252 0.020
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.5579 0.15696 0.500 0.000 0.000 0.368 0.004 0.128
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.1257 0.79343 0.000 0.952 0.000 0.020 0.000 0.028
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.4130 0.21828 0.696 0.000 0.000 0.000 0.260 0.044
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.2126 0.69236 0.904 0.000 0.000 0.020 0.004 0.072
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0748 0.80956 0.000 0.976 0.000 0.004 0.016 0.004
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.4860 0.67423 0.000 0.644 0.008 0.032 0.296 0.020
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 6 0.3685 0.77287 0.000 0.120 0.080 0.000 0.004 0.796
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.1049 0.81208 0.000 0.960 0.000 0.008 0.032 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.2877 0.71827 0.000 0.000 0.168 0.820 0.000 0.012
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.4842 -0.41197 0.532 0.000 0.000 0.008 0.420 0.040
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.2838 0.77061 0.000 0.872 0.000 0.032 0.024 0.072
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.3535 0.53386 0.800 0.000 0.000 0.004 0.144 0.052
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.1708 0.67537 0.932 0.000 0.000 0.004 0.024 0.040
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 6 0.4063 0.80308 0.000 0.184 0.016 0.004 0.036 0.760
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.2595 0.74421 0.000 0.880 0.000 0.020 0.016 0.084
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.2730 0.73211 0.000 0.000 0.152 0.836 0.000 0.012
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.2869 0.65803 0.000 0.832 0.000 0.020 0.000 0.148
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.3759 0.77177 0.112 0.000 0.000 0.796 0.008 0.084
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.2869 0.65803 0.000 0.832 0.000 0.020 0.000 0.148
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.1334 0.79113 0.000 0.948 0.000 0.020 0.000 0.032
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 6 0.3826 0.78636 0.000 0.136 0.060 0.004 0.008 0.792
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 5 0.3446 0.85541 0.308 0.000 0.000 0.000 0.692 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.4292 0.63901 0.764 0.000 0.000 0.092 0.024 0.120
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.2051 0.69371 0.916 0.000 0.000 0.040 0.008 0.036
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.2452 0.77466 0.000 0.000 0.056 0.892 0.008 0.044
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 5 0.4841 0.74445 0.412 0.000 0.000 0.004 0.536 0.048
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.2933 0.67424 0.856 0.000 0.000 0.040 0.008 0.096
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 5 0.4739 0.73763 0.436 0.000 0.000 0.000 0.516 0.048
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0767 0.90412 0.000 0.000 0.976 0.012 0.008 0.004
#> 6D960AE7-3769-4144-A061-E8588E5063FF 5 0.3758 0.85241 0.324 0.000 0.000 0.000 0.668 0.008
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 6 0.4171 0.80232 0.000 0.184 0.016 0.008 0.036 0.756
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.3529 0.67558 0.000 0.000 0.040 0.800 0.008 0.152
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.2826 0.79146 0.000 0.856 0.008 0.024 0.112 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 6 0.5203 0.50529 0.000 0.412 0.000 0.024 0.044 0.520
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.4908 0.69819 0.000 0.660 0.012 0.036 0.272 0.020
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.4143 0.64282 0.788 0.000 0.000 0.052 0.064 0.096
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.4525 0.49047 0.728 0.000 0.000 0.016 0.168 0.088
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.2274 0.68952 0.892 0.000 0.000 0.012 0.008 0.088
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.3751 0.64076 0.792 0.000 0.000 0.096 0.004 0.108
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.1515 0.68477 0.944 0.000 0.000 0.008 0.020 0.028
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.4774 0.68026 0.000 0.652 0.008 0.028 0.292 0.020
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.1364 0.80097 0.000 0.952 0.000 0.012 0.020 0.016
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.4824 0.68130 0.000 0.652 0.008 0.032 0.288 0.020
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.1065 0.80375 0.000 0.964 0.000 0.008 0.020 0.008
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 5 0.4650 0.67595 0.472 0.000 0.000 0.000 0.488 0.040
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.1745 0.65653 0.920 0.000 0.000 0.000 0.068 0.012
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 6 0.3860 0.80096 0.000 0.200 0.000 0.008 0.036 0.756
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.1575 0.67224 0.936 0.000 0.000 0.000 0.032 0.032
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 6 0.4035 0.74285 0.000 0.296 0.000 0.020 0.004 0.680
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.4664 0.70541 0.000 0.684 0.008 0.032 0.256 0.020
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.4113 0.69396 0.000 0.000 0.744 0.192 0.008 0.056
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 6 0.4158 0.75278 0.000 0.280 0.000 0.012 0.020 0.688
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.2826 0.79146 0.000 0.856 0.008 0.024 0.112 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 6 0.6437 0.46638 0.000 0.288 0.004 0.024 0.212 0.472
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.5399 0.28459 0.360 0.000 0.000 0.528 0.004 0.108
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.1951 0.80610 0.020 0.000 0.060 0.916 0.000 0.004
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.1692 0.80905 0.000 0.932 0.008 0.012 0.048 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.1745 0.65653 0.920 0.000 0.000 0.000 0.068 0.012
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 4 0.3283 0.74792 0.004 0.000 0.140 0.824 0.012 0.020
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 5 0.4814 0.62183 0.452 0.000 0.000 0.008 0.504 0.036
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.3719 0.64324 0.800 0.000 0.000 0.088 0.008 0.104
#> D005833F-E991-4E9E-9667-55F137288004 4 0.4008 0.74185 0.128 0.000 0.000 0.768 0.004 0.100
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.3968 0.74535 0.124 0.000 0.000 0.772 0.004 0.100
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.1745 0.65653 0.920 0.000 0.000 0.000 0.068 0.012
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 6 0.3387 0.64250 0.000 0.040 0.164 0.000 0.000 0.796
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0725 0.90734 0.000 0.000 0.976 0.012 0.000 0.012
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0520 0.80632 0.000 0.984 0.000 0.008 0.008 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 5 0.3758 0.85241 0.324 0.000 0.000 0.000 0.668 0.008
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 5 0.4500 0.79004 0.392 0.000 0.000 0.000 0.572 0.036
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.3925 0.30414 0.724 0.000 0.000 0.000 0.236 0.040
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.4896 0.68221 0.000 0.660 0.008 0.032 0.272 0.028
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.5162 0.45792 0.000 0.476 0.012 0.032 0.468 0.012
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 5 0.3390 0.84870 0.296 0.000 0.000 0.000 0.704 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.1577 0.80990 0.000 0.940 0.008 0.016 0.036 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.3477 0.55445 0.808 0.000 0.000 0.004 0.132 0.056
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 6 0.3455 0.80437 0.000 0.200 0.000 0.004 0.020 0.776
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.2997 0.62883 0.844 0.000 0.000 0.000 0.096 0.060
#> 41183565-434D-474C-B1BD-CA6E94910658 6 0.6490 0.47172 0.000 0.272 0.004 0.024 0.236 0.464
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.5223 0.37538 0.588 0.000 0.000 0.300 0.004 0.108
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.3798 0.63775 0.788 0.000 0.000 0.100 0.004 0.108
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.4312 0.14198 0.676 0.000 0.000 0.000 0.272 0.052
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.1599 0.68320 0.940 0.000 0.000 0.008 0.024 0.028
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.2716 0.68126 0.868 0.000 0.000 0.028 0.008 0.096
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.1334 0.79113 0.000 0.948 0.000 0.020 0.000 0.032
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.3724 0.75593 0.000 0.772 0.012 0.028 0.188 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.3968 0.74535 0.124 0.000 0.000 0.772 0.004 0.100
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.1010 0.80954 0.000 0.960 0.000 0.004 0.036 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.3142 0.67151 0.840 0.000 0.000 0.044 0.008 0.108
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.4033 0.75226 0.000 0.756 0.012 0.028 0.196 0.008
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 6 0.3103 0.80440 0.000 0.208 0.000 0.008 0.000 0.784
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 6 0.4319 0.66912 0.000 0.048 0.048 0.116 0.008 0.780
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 4 0.4278 0.74568 0.140 0.000 0.000 0.748 0.008 0.104
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.1007 0.80995 0.000 0.956 0.000 0.000 0.044 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.3879 0.29843 0.000 0.688 0.000 0.020 0.000 0.292
#> DC5A2C9E-978F-4661-B729-1F9662976E27 5 0.3446 0.85541 0.308 0.000 0.000 0.000 0.692 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 6 0.3931 0.76269 0.000 0.116 0.092 0.004 0.004 0.784
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.1232 0.79632 0.000 0.956 0.000 0.016 0.004 0.024
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0725 0.90734 0.000 0.000 0.976 0.012 0.000 0.012
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.1390 0.79185 0.000 0.948 0.000 0.016 0.004 0.032
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.3900 0.76756 0.116 0.000 0.000 0.784 0.008 0.092
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.1334 0.79113 0.000 0.948 0.000 0.020 0.000 0.032
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.4003 0.74988 0.000 0.760 0.012 0.028 0.192 0.008
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.2982 0.69787 0.000 0.844 0.000 0.016 0.016 0.124
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.2980 0.78071 0.000 0.000 0.800 0.000 0.008 0.192
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2461 0.67410 0.888 0.000 0.000 0.004 0.044 0.064
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.1972 0.80694 0.024 0.000 0.056 0.916 0.000 0.004
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 6 0.4722 0.76449 0.000 0.200 0.004 0.088 0.008 0.700
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 6 0.3983 0.35169 0.000 0.000 0.004 0.348 0.008 0.640
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.4824 0.67937 0.000 0.652 0.008 0.032 0.288 0.020
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.1745 0.65653 0.920 0.000 0.000 0.000 0.068 0.012
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.4191 0.13178 0.676 0.000 0.000 0.000 0.284 0.040
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.1180 0.80967 0.000 0.960 0.000 0.016 0.012 0.012
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 5 0.4573 0.81379 0.372 0.000 0.000 0.000 0.584 0.044
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0767 0.80519 0.000 0.976 0.000 0.012 0.008 0.004
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.1767 0.80947 0.000 0.932 0.000 0.012 0.036 0.020
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 5 0.3390 0.84870 0.296 0.000 0.000 0.000 0.704 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.2201 0.64771 0.896 0.000 0.000 0.000 0.076 0.028
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.1745 0.77348 0.000 0.924 0.000 0.020 0.000 0.056
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.2009 0.66682 0.916 0.000 0.000 0.004 0.040 0.040
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 6 0.4333 0.45819 0.000 0.468 0.000 0.020 0.000 0.512
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.5419 0.41076 0.568 0.000 0.000 0.296 0.004 0.132
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0777 0.90893 0.000 0.000 0.972 0.004 0.000 0.024
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 6 0.4486 0.43363 0.000 0.452 0.000 0.012 0.012 0.524
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.2398 0.72279 0.000 0.876 0.000 0.020 0.000 0.104
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.2877 0.71827 0.000 0.000 0.168 0.820 0.000 0.012
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.2703 0.65281 0.876 0.000 0.000 0.008 0.064 0.052
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.1152 0.42927 0.044 0.000 0.000 0.000 0.952 0.004
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.4585 0.72130 0.000 0.692 0.012 0.028 0.252 0.016
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.1829 0.69525 0.928 0.000 0.000 0.028 0.008 0.036
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.3706 -0.21825 0.620 0.000 0.000 0.000 0.380 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 6 0.4278 0.66012 0.000 0.360 0.000 0.020 0.004 0.616
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 6 0.4292 0.73171 0.000 0.088 0.092 0.036 0.004 0.780
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.2703 0.65281 0.876 0.000 0.000 0.008 0.064 0.052
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.6304 0.45744 0.000 0.512 0.008 0.032 0.308 0.140
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2114 0.66378 0.904 0.000 0.000 0.008 0.076 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["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 18133 rows and 198 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 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 0.987 0.995 0.5029 0.497 0.497
#> 3 3 0.957 0.948 0.975 0.2391 0.835 0.680
#> 4 4 0.957 0.928 0.965 0.1417 0.880 0.690
#> 5 5 0.708 0.571 0.757 0.0755 0.914 0.717
#> 6 6 0.713 0.639 0.810 0.0494 0.858 0.514
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.000 0.9905 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.000 0.9995 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.000 0.9905 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.000 0.9995 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.000 0.9905 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.000 0.9995 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.000 0.9905 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.000 0.9905 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.000 0.9905 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.000 0.9995 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.000 0.9995 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.000 0.9995 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.000 0.9905 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.000 0.9905 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.000 0.9905 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.000 0.9995 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.000 0.9905 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.000 0.9995 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.000 0.9905 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.000 0.9905 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.000 0.9995 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.000 0.9905 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.000 0.9995 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.000 0.9995 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.000 0.9995 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.000 0.9905 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.000 0.9995 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.000 0.9995 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.000 0.9995 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.000 0.9995 1.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.000 0.9905 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.000 0.9995 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.000 0.9905 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.000 0.9995 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.000 0.9995 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.000 0.9995 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.000 0.9905 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.000 0.9905 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.000 0.9995 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.000 0.9995 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.000 0.9995 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.000 0.9905 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.000 0.9905 0.000 1.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.000 0.9905 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.000 0.9905 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.000 0.9995 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.000 0.9995 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.000 0.9905 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.000 0.9905 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.000 0.9905 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.000 0.9995 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.000 0.9995 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.000 0.9995 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.000 0.9995 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.000 0.9995 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.000 0.9905 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.000 0.9995 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.000 0.9995 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.000 0.9905 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.000 0.9905 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.000 0.9995 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 2 0.584 0.8338 0.140 0.860
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.000 0.9905 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.000 0.9995 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.000 0.9905 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.000 0.9995 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.000 0.9995 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.000 0.9905 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.000 0.9905 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.000 0.9905 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.000 0.9905 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.000 0.9995 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.000 0.9995 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.000 0.9905 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.000 0.9995 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.000 0.9995 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.000 0.9905 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.000 0.9905 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.000 0.9995 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.000 0.9905 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.000 0.9995 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.000 0.9905 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.000 0.9905 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.000 0.9905 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.000 0.9995 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.000 0.9995 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.000 0.9995 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.895 0.5513 0.312 0.688
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.000 0.9995 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.000 0.9995 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.000 0.9995 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 2 0.999 0.0892 0.480 0.520
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.000 0.9995 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.000 0.9905 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.000 0.9905 0.000 1.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.000 0.9905 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.000 0.9905 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.000 0.9905 0.000 1.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.000 0.9995 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.000 0.9995 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.000 0.9995 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.000 0.9995 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.000 0.9995 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.000 0.9905 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.000 0.9905 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.000 0.9905 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.000 0.9905 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.000 0.9995 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.000 0.9995 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.000 0.9905 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.000 0.9995 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.000 0.9905 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.000 0.9905 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.000 0.9995 1.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.000 0.9905 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.000 0.9905 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.000 0.9905 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.000 0.9995 1.000 0.000
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#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.000 0.9905 0.000 1.000
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#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.000 0.9995 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.000 0.9995 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.000 0.9995 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.000 0.9995 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.000 0.9995 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.000 0.9995 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.000 0.9905 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.000 0.9905 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.000 0.9905 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.000 0.9995 1.000 0.000
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#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.000 0.9905 0.000 1.000
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#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.260 0.9533 0.956 0.044
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.000 0.9905 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.000 0.9995 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.000 0.9995 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.000 0.9905 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.000 0.9905 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.000 0.9995 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.000 0.9905 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.000 0.9995 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.000 0.990 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.000 0.998 1.000 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.000 0.990 0.000 1.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.000 0.998 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.000 0.990 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.000 0.998 1.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.000 0.990 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.000 0.874 0.000 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 3 0.603 0.527 0.000 0.376 0.624
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.000 0.998 1.000 0.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.000 0.998 1.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.000 0.998 1.000 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.000 0.990 0.000 1.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.000 0.874 0.000 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.000 0.874 0.000 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.000 0.998 1.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.000 0.990 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.000 0.998 1.000 0.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.000 0.990 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.000 0.990 0.000 1.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 3 0.455 0.732 0.200 0.000 0.800
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.599 0.541 0.000 0.368 0.632
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.000 0.998 1.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.000 0.998 1.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.000 0.998 1.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.000 0.990 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.455 0.732 0.200 0.000 0.800
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.000 0.998 1.000 0.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.000 0.998 1.000 0.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.000 0.998 1.000 0.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 3 0.610 0.493 0.000 0.392 0.608
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.000 0.998 1.000 0.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.000 0.990 0.000 1.000 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.000 0.998 1.000 0.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.000 0.998 1.000 0.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.000 0.998 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.000 0.990 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.000 0.990 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.000 0.998 1.000 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.000 0.998 1.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.000 0.998 1.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.000 0.990 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.000 0.874 0.000 0.000 1.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.000 0.990 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.000 0.874 0.000 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.000 0.998 1.000 0.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.000 0.998 1.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 3 0.601 0.534 0.000 0.372 0.628
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.000 0.990 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.000 0.990 0.000 1.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.000 0.998 1.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.000 0.998 1.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.000 0.998 1.000 0.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.000 0.998 1.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.000 0.998 1.000 0.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.000 0.990 0.000 1.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.412 0.784 0.832 0.000 0.168
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 3 0.455 0.732 0.200 0.000 0.800
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.599 0.541 0.000 0.368 0.632
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.000 0.874 0.000 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.000 0.998 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.000 0.874 0.000 0.000 1.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.000 0.990 0.000 1.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.000 0.998 1.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.000 0.990 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.000 0.998 1.000 0.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.000 0.998 1.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.000 0.990 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.000 0.990 0.000 1.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 3 0.608 0.502 0.000 0.388 0.612
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.000 0.990 0.000 1.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 3 0.000 0.874 0.000 0.000 1.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.000 0.998 1.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.000 0.990 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.000 0.998 1.000 0.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.000 0.998 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.000 0.990 0.000 1.000 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.000 0.990 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 3 0.000 0.874 0.000 0.000 1.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.000 0.990 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.000 0.998 1.000 0.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.000 0.990 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.000 0.990 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.000 0.990 0.000 1.000 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.000 0.998 1.000 0.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.000 0.998 1.000 0.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.000 0.998 1.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.000 0.874 0.000 0.000 1.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.000 0.998 1.000 0.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.000 0.998 1.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.000 0.998 1.000 0.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.000 0.874 0.000 0.000 1.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.000 0.998 1.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.000 0.990 0.000 1.000 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.000 0.874 0.000 0.000 1.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.000 0.990 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.000 0.990 0.000 1.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.000 0.990 0.000 1.000 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.000 0.998 1.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.000 0.998 1.000 0.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.000 0.998 1.000 0.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.000 0.998 1.000 0.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.000 0.998 1.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.000 0.990 0.000 1.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.000 0.990 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.000 0.990 0.000 1.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.000 0.990 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.000 0.998 1.000 0.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.000 0.998 1.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.000 0.990 0.000 1.000 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.000 0.998 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.000 0.990 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.000 0.990 0.000 1.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.000 0.874 0.000 0.000 1.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.562 0.462 0.000 0.692 0.308
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.000 0.990 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.000 0.990 0.000 1.000 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.000 0.998 1.000 0.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 3 0.455 0.732 0.200 0.000 0.800
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.000 0.990 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.000 0.998 1.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.000 0.874 0.000 0.000 1.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.000 0.998 1.000 0.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.000 0.998 1.000 0.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.000 0.998 1.000 0.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.000 0.998 1.000 0.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.000 0.998 1.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.000 0.874 0.000 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.000 0.874 0.000 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.000 0.990 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.000 0.998 1.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.000 0.998 1.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.000 0.998 1.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.000 0.990 0.000 1.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.000 0.990 0.000 1.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.000 0.998 1.000 0.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.000 0.990 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.000 0.998 1.000 0.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.000 0.990 0.000 1.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.000 0.998 1.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.000 0.990 0.000 1.000 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.000 0.998 1.000 0.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.000 0.998 1.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.000 0.998 1.000 0.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.000 0.998 1.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.000 0.998 1.000 0.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.000 0.990 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.000 0.990 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.000 0.998 1.000 0.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.000 0.990 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.000 0.998 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.000 0.990 0.000 1.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.000 0.990 0.000 1.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.000 0.874 0.000 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.000 0.998 1.000 0.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.000 0.990 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.000 0.990 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.000 0.998 1.000 0.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 3 0.599 0.541 0.000 0.368 0.632
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.000 0.990 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.000 0.874 0.000 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.000 0.990 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.000 0.998 1.000 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.000 0.990 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.000 0.990 0.000 1.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.000 0.990 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.000 0.874 0.000 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.000 0.998 1.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 3 0.455 0.732 0.200 0.000 0.800
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.601 0.534 0.000 0.372 0.628
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.000 0.874 0.000 0.000 1.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.000 0.990 0.000 1.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.000 0.998 1.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.000 0.998 1.000 0.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.000 0.990 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.000 0.998 1.000 0.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.000 0.990 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.000 0.990 0.000 1.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.000 0.998 1.000 0.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.000 0.998 1.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.000 0.990 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.000 0.998 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.000 0.990 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.000 0.998 1.000 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.000 0.874 0.000 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.000 0.990 0.000 1.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.000 0.990 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 3 0.000 0.874 0.000 0.000 1.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.000 0.998 1.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 2 0.522 0.560 0.260 0.740 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.000 0.990 0.000 1.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.000 0.998 1.000 0.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.000 0.998 1.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.000 0.990 0.000 1.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 3 0.455 0.743 0.000 0.200 0.800
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.000 0.998 1.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.000 0.990 0.000 1.000 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.000 0.998 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.1302 0.921 0.044 0.000 0.000 0.956
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0188 0.885 0.000 0.000 0.996 0.004
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 3 0.3569 0.795 0.000 0.196 0.804 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0188 0.946 0.004 0.000 0.000 0.996
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 0.885 0.000 0.000 1.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0000 0.885 0.000 0.000 1.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.944 0.000 0.000 0.000 1.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.2011 0.888 0.000 0.080 0.920 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.1867 0.927 0.928 0.000 0.000 0.072
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 4 0.1792 0.904 0.000 0.000 0.068 0.932
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 4 0.1389 0.917 0.048 0.000 0.000 0.952
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 3 0.2011 0.888 0.000 0.080 0.920 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1940 0.924 0.924 0.000 0.000 0.076
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.2011 0.897 0.000 0.920 0.080 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0188 0.979 0.000 0.996 0.004 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.1474 0.941 0.948 0.000 0.000 0.052
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.1118 0.928 0.036 0.000 0.000 0.964
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0188 0.885 0.000 0.000 0.996 0.004
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.0000 0.885 0.000 0.000 1.000 0.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.3975 0.721 0.760 0.000 0.000 0.240
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 3 0.2868 0.850 0.000 0.136 0.864 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.0707 0.939 0.020 0.000 0.000 0.980
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.1716 0.933 0.936 0.000 0.000 0.064
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.0817 0.937 0.024 0.000 0.000 0.976
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.1389 0.934 0.000 0.952 0.048 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0188 0.946 0.004 0.000 0.000 0.996
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.944 0.000 0.000 0.000 1.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.2011 0.888 0.000 0.080 0.920 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0188 0.885 0.000 0.000 0.996 0.004
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0188 0.885 0.000 0.000 0.996 0.004
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 4 0.0817 0.937 0.024 0.000 0.000 0.976
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.1792 0.930 0.932 0.000 0.000 0.068
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 3 0.2647 0.863 0.000 0.120 0.880 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.1867 0.901 0.000 0.000 0.072 0.928
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.2011 0.888 0.000 0.080 0.920 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0188 0.979 0.000 0.996 0.004 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.1940 0.897 0.000 0.000 0.076 0.924
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0188 0.979 0.000 0.996 0.004 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.0188 0.946 0.004 0.000 0.000 0.996
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0188 0.979 0.000 0.996 0.004 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.2408 0.874 0.000 0.104 0.896 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.3172 0.774 0.160 0.000 0.000 0.840
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.1867 0.927 0.928 0.000 0.000 0.072
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.1940 0.897 0.000 0.000 0.076 0.924
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.1940 0.924 0.924 0.000 0.000 0.076
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0188 0.885 0.000 0.000 0.996 0.004
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.4277 0.688 0.000 0.280 0.720 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.4972 0.278 0.000 0.000 0.456 0.544
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1940 0.924 0.924 0.000 0.000 0.076
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.1792 0.930 0.932 0.000 0.000 0.068
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.3764 0.758 0.784 0.000 0.000 0.216
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.4804 0.291 0.000 0.616 0.384 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.3486 0.740 0.000 0.812 0.188 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.2647 0.803 0.000 0.000 0.880 0.120
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 3 0.3610 0.791 0.000 0.200 0.800 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0188 0.978 0.000 0.996 0.004 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0188 0.946 0.004 0.000 0.000 0.996
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.944 0.000 0.000 0.000 1.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 4 0.1867 0.901 0.000 0.000 0.072 0.928
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.4431 0.607 0.696 0.000 0.000 0.304
#> D005833F-E991-4E9E-9667-55F137288004 4 0.0188 0.946 0.004 0.000 0.000 0.996
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0188 0.946 0.004 0.000 0.000 0.996
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.0000 0.885 0.000 0.000 1.000 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0188 0.885 0.000 0.000 0.996 0.004
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.4730 0.351 0.000 0.636 0.364 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0921 0.955 0.000 0.972 0.028 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.1474 0.913 0.052 0.000 0.000 0.948
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.3873 0.740 0.772 0.000 0.000 0.228
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.1867 0.927 0.928 0.000 0.000 0.072
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.0188 0.946 0.004 0.000 0.000 0.996
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.1867 0.927 0.928 0.000 0.000 0.072
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 3 0.4985 0.230 0.000 0.468 0.532 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.2011 0.888 0.000 0.080 0.920 0.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 4 0.0188 0.946 0.004 0.000 0.000 0.996
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0188 0.979 0.000 0.996 0.004 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 3 0.2011 0.888 0.000 0.080 0.920 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0188 0.885 0.000 0.000 0.996 0.004
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.0188 0.946 0.004 0.000 0.000 0.996
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0188 0.979 0.000 0.996 0.004 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.0000 0.885 0.000 0.000 1.000 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.944 0.000 0.000 0.000 1.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.3610 0.791 0.000 0.200 0.800 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.2281 0.840 0.000 0.000 0.904 0.096
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0188 0.979 0.000 0.996 0.004 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0188 0.946 0.004 0.000 0.000 0.996
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.885 0.000 0.000 1.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0188 0.979 0.000 0.996 0.004 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.1867 0.901 0.000 0.000 0.072 0.928
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.1302 0.930 0.956 0.044 0.000 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.1940 0.924 0.924 0.000 0.000 0.076
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0188 0.979 0.000 0.996 0.004 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 3 0.2011 0.888 0.000 0.080 0.920 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.973 1.000 0.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.981 0.000 1.000 0.000 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.973 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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.8539 0.000 1.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.4733 0.4702 0.028 0.000 0.000 0.624 0.348
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0162 0.8534 0.000 0.996 0.000 0.000 0.004
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.4276 0.7851 0.716 0.000 0.000 0.028 0.256
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.8539 0.000 1.000 0.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.4250 0.7845 0.720 0.000 0.000 0.028 0.252
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0609 0.8556 0.000 0.980 0.000 0.000 0.020
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0162 0.7976 0.000 0.000 0.996 0.004 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 3 0.5436 0.1750 0.000 0.048 0.492 0.004 0.456
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0162 0.6626 0.996 0.000 0.000 0.000 0.004
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.5102 0.7739 0.580 0.000 0.000 0.044 0.376
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.2233 0.6478 0.004 0.000 0.000 0.892 0.104
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.3707 0.7390 0.000 0.716 0.000 0.000 0.284
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 0.7988 0.000 0.000 1.000 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0000 0.7988 0.000 0.000 1.000 0.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.3109 0.7662 0.800 0.000 0.000 0.000 0.200
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0609 0.8556 0.000 0.980 0.000 0.000 0.020
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0162 0.6626 0.996 0.000 0.000 0.000 0.004
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.2230 0.8281 0.000 0.884 0.000 0.000 0.116
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.8539 0.000 1.000 0.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.1270 0.6078 0.000 0.000 0.052 0.948 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 5 0.4829 -0.2255 0.000 0.020 0.484 0.000 0.496
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0404 0.6733 0.988 0.000 0.000 0.000 0.012
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.5226 0.7694 0.572 0.000 0.000 0.052 0.376
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.6615 0.5466 0.408 0.000 0.000 0.216 0.376
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.2732 0.8014 0.000 0.840 0.000 0.000 0.160
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 4 0.3966 0.2605 0.000 0.000 0.336 0.664 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 4 0.4874 0.4377 0.032 0.000 0.000 0.600 0.368
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4563 0.7563 0.708 0.000 0.000 0.048 0.244
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.2411 0.6981 0.884 0.000 0.000 0.008 0.108
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 5 0.4829 -0.2255 0.000 0.020 0.484 0.000 0.496
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 5 0.6801 -0.5018 0.312 0.000 0.000 0.312 0.376
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 5 0.5156 0.0630 0.000 0.320 0.060 0.000 0.620
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.2852 0.7552 0.828 0.000 0.000 0.000 0.172
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4538 0.7900 0.620 0.000 0.000 0.016 0.364
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.4718 0.7910 0.628 0.000 0.000 0.028 0.344
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.8539 0.000 1.000 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.4273 0.4089 0.000 0.552 0.000 0.000 0.448
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.6294 0.6479 0.468 0.000 0.000 0.156 0.376
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.4197 0.5720 0.028 0.000 0.000 0.728 0.244
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.5226 0.7694 0.572 0.000 0.000 0.052 0.376
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0290 0.8550 0.000 0.992 0.000 0.000 0.008
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0404 0.7960 0.000 0.000 0.988 0.000 0.012
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0510 0.8555 0.000 0.984 0.000 0.000 0.016
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.1043 0.7833 0.000 0.000 0.960 0.000 0.040
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 4 0.6685 -0.1293 0.236 0.000 0.000 0.388 0.376
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.5226 0.7694 0.572 0.000 0.000 0.052 0.376
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 5 0.4906 -0.2167 0.000 0.024 0.480 0.000 0.496
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.3210 0.7617 0.000 0.788 0.000 0.000 0.212
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.2020 0.8095 0.000 0.900 0.000 0.000 0.100
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.2773 0.6458 0.020 0.000 0.000 0.868 0.112
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.6659 0.5229 0.396 0.000 0.000 0.228 0.376
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.4734 0.4451 0.024 0.000 0.000 0.604 0.372
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.5226 0.7694 0.572 0.000 0.000 0.052 0.376
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0162 0.6626 0.996 0.000 0.000 0.000 0.004
#> E19D5463-FDD0-41C1-A170-323736A88D07 5 0.4808 -0.0245 0.000 0.348 0.032 0.000 0.620
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.1043 0.6169 0.000 0.000 0.040 0.960 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.1270 0.6078 0.000 0.000 0.052 0.948 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 5 0.4803 -0.1614 0.000 0.020 0.444 0.000 0.536
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.7988 0.000 0.000 1.000 0.000 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.5102 0.7739 0.580 0.000 0.000 0.044 0.376
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0404 0.7960 0.000 0.000 0.988 0.000 0.012
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.2230 0.8122 0.000 0.884 0.000 0.000 0.116
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 4 0.3409 0.6350 0.024 0.000 0.000 0.816 0.160
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.1792 0.8409 0.000 0.916 0.000 0.000 0.084
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.3550 0.7786 0.760 0.000 0.000 0.004 0.236
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.6486 0.5970 0.436 0.000 0.000 0.188 0.376
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0609 0.8556 0.000 0.980 0.000 0.000 0.020
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.2020 0.8095 0.000 0.900 0.000 0.000 0.100
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 5 0.4906 -0.2167 0.000 0.024 0.480 0.000 0.496
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.1043 0.8557 0.000 0.960 0.000 0.000 0.040
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.4150 0.1789 0.000 0.000 0.388 0.612 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.4565 0.7805 0.664 0.000 0.000 0.028 0.308
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.3707 0.7034 0.000 0.716 0.000 0.000 0.284
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.4302 0.7834 0.720 0.000 0.000 0.032 0.248
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.4836 0.7875 0.612 0.000 0.000 0.032 0.356
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 5 0.4686 -0.0697 0.000 0.020 0.384 0.000 0.596
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.3561 0.7145 0.000 0.740 0.000 0.000 0.260
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.4150 0.1789 0.000 0.000 0.388 0.612 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.4101 0.5574 0.000 0.628 0.000 0.000 0.372
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.0404 0.6349 0.000 0.000 0.012 0.988 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.4126 0.5438 0.000 0.620 0.000 0.000 0.380
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.3143 0.7682 0.000 0.796 0.000 0.000 0.204
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 5 0.4757 -0.0608 0.000 0.024 0.380 0.000 0.596
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0162 0.6626 0.996 0.000 0.000 0.000 0.004
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.5565 0.4214 0.128 0.000 0.000 0.632 0.240
#> 83B88608-0506-428C-B9E8-621F38477B42 5 0.6747 -0.5718 0.364 0.000 0.000 0.260 0.376
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.4150 0.1789 0.000 0.000 0.388 0.612 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.2674 0.7105 0.856 0.000 0.000 0.004 0.140
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 4 0.6708 -0.1559 0.244 0.000 0.000 0.380 0.376
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0880 0.6856 0.968 0.000 0.000 0.000 0.032
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.7988 0.000 0.000 1.000 0.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0162 0.6626 0.996 0.000 0.000 0.000 0.004
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 5 0.5022 0.0268 0.000 0.048 0.332 0.000 0.620
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.4088 0.2985 0.000 0.000 0.632 0.368 0.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.8539 0.000 1.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 5 0.4126 -0.1251 0.000 0.380 0.000 0.000 0.620
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 0.8539 0.000 1.000 0.000 0.000 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 5 0.6800 -0.4922 0.304 0.000 0.000 0.320 0.376
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 5 0.6729 -0.5834 0.372 0.000 0.000 0.252 0.376
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.5598 0.7440 0.544 0.000 0.000 0.080 0.376
#> F9DD688C-7B35-49E7-9651-2E098EE78856 4 0.6685 -0.1293 0.236 0.000 0.000 0.388 0.376
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.5226 0.7694 0.572 0.000 0.000 0.052 0.376
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.2074 0.8077 0.000 0.896 0.000 0.000 0.104
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.1270 0.8511 0.000 0.948 0.000 0.000 0.052
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.1965 0.8121 0.000 0.904 0.000 0.000 0.096
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.1270 0.8511 0.000 0.948 0.000 0.000 0.052
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.2280 0.7340 0.880 0.000 0.000 0.000 0.120
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.4794 0.7903 0.624 0.000 0.000 0.032 0.344
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 5 0.5761 0.1972 0.000 0.184 0.196 0.000 0.620
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.4836 0.7875 0.612 0.000 0.000 0.032 0.356
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 5 0.6092 0.0582 0.000 0.364 0.132 0.000 0.504
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.1671 0.8240 0.000 0.924 0.000 0.000 0.076
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.1809 0.7654 0.000 0.000 0.928 0.060 0.012
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 5 0.6374 0.0135 0.000 0.172 0.360 0.000 0.468
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.8539 0.000 1.000 0.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.4437 0.4439 0.000 0.532 0.004 0.000 0.464
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.1341 0.6470 0.000 0.000 0.000 0.944 0.056
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.1270 0.6078 0.000 0.000 0.052 0.948 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.8539 0.000 1.000 0.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.4808 0.7897 0.620 0.000 0.000 0.032 0.348
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 4 0.4201 0.1411 0.000 0.000 0.408 0.592 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.3183 0.7158 0.828 0.000 0.000 0.016 0.156
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 4 0.6659 -0.1055 0.228 0.000 0.000 0.396 0.376
#> D005833F-E991-4E9E-9667-55F137288004 4 0.0404 0.6417 0.000 0.000 0.000 0.988 0.012
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0162 0.6395 0.000 0.000 0.000 0.996 0.004
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.4822 0.7888 0.616 0.000 0.000 0.032 0.352
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.3210 0.6513 0.000 0.000 0.788 0.000 0.212
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0162 0.7976 0.000 0.000 0.996 0.004 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0609 0.8556 0.000 0.980 0.000 0.000 0.020
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0162 0.6626 0.996 0.000 0.000 0.000 0.004
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.6654 1.000 0.000 0.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.3395 0.7782 0.764 0.000 0.000 0.000 0.236
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.2471 0.7882 0.000 0.864 0.000 0.000 0.136
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0324 0.8508 0.004 0.992 0.000 0.000 0.004
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0162 0.6626 0.996 0.000 0.000 0.000 0.004
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.8539 0.000 1.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.3878 0.7807 0.748 0.000 0.000 0.016 0.236
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 5 0.5761 0.1972 0.000 0.184 0.196 0.000 0.620
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.4508 0.7930 0.648 0.000 0.000 0.020 0.332
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.4484 0.5691 0.000 0.668 0.024 0.000 0.308
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.4787 0.4870 0.036 0.000 0.000 0.640 0.324
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 4 0.6685 -0.1293 0.236 0.000 0.000 0.388 0.376
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.3550 0.7786 0.760 0.000 0.000 0.004 0.236
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.5226 0.7694 0.572 0.000 0.000 0.052 0.376
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.6659 0.5228 0.396 0.000 0.000 0.228 0.376
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.3274 0.7654 0.000 0.780 0.000 0.000 0.220
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.8539 0.000 1.000 0.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.0162 0.6395 0.000 0.000 0.000 0.996 0.004
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0609 0.8556 0.000 0.980 0.000 0.000 0.020
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 5 0.6790 -0.5326 0.336 0.000 0.000 0.288 0.376
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.8539 0.000 1.000 0.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 5 0.5487 0.1074 0.000 0.100 0.280 0.000 0.620
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.4405 0.5355 0.000 0.020 0.696 0.004 0.280
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 4 0.0404 0.6349 0.000 0.000 0.012 0.988 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0609 0.8556 0.000 0.980 0.000 0.000 0.020
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.4278 0.4030 0.000 0.548 0.000 0.000 0.452
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0162 0.6626 0.996 0.000 0.000 0.000 0.004
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 3 0.4824 0.2134 0.000 0.020 0.512 0.000 0.468
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.2127 0.8315 0.000 0.892 0.000 0.000 0.108
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0162 0.7976 0.000 0.000 0.996 0.004 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.2179 0.8297 0.000 0.888 0.000 0.000 0.112
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.0404 0.6349 0.000 0.000 0.012 0.988 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.2329 0.8233 0.000 0.876 0.000 0.000 0.124
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.8539 0.000 1.000 0.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.3796 0.6659 0.000 0.700 0.000 0.000 0.300
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.1043 0.7833 0.000 0.000 0.960 0.000 0.040
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.4808 0.7896 0.620 0.000 0.000 0.032 0.348
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.1270 0.6078 0.000 0.000 0.052 0.948 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 3 0.5641 0.1828 0.000 0.048 0.488 0.012 0.452
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.4360 0.6652 0.000 0.000 0.752 0.184 0.064
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.2074 0.8077 0.000 0.896 0.000 0.000 0.104
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.4794 0.7903 0.624 0.000 0.000 0.032 0.344
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.3835 0.7824 0.744 0.000 0.000 0.012 0.244
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.2690 0.8051 0.000 0.844 0.000 0.000 0.156
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0510 0.6758 0.984 0.000 0.000 0.000 0.016
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0609 0.8556 0.000 0.980 0.000 0.000 0.020
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.1270 0.8552 0.000 0.948 0.000 0.000 0.052
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0162 0.6626 0.996 0.000 0.000 0.000 0.004
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.4671 0.7920 0.640 0.000 0.000 0.028 0.332
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.3452 0.7316 0.000 0.756 0.000 0.000 0.244
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.4808 0.7896 0.620 0.000 0.000 0.032 0.348
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 5 0.4300 -0.2950 0.000 0.476 0.000 0.000 0.524
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.2389 0.6473 0.004 0.000 0.000 0.880 0.116
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.7988 0.000 0.000 1.000 0.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.4126 0.5438 0.000 0.620 0.000 0.000 0.380
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.3932 0.6267 0.000 0.672 0.000 0.000 0.328
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.4150 0.1789 0.000 0.000 0.388 0.612 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.5226 0.7694 0.572 0.000 0.000 0.052 0.376
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.4581 0.3108 0.732 0.196 0.000 0.000 0.072
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.8539 0.000 1.000 0.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.6793 -0.5277 0.332 0.000 0.000 0.292 0.376
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.3461 0.7625 0.772 0.000 0.000 0.004 0.224
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.4307 0.2921 0.000 0.500 0.000 0.000 0.500
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 3 0.4798 0.2645 0.000 0.020 0.540 0.000 0.440
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.5226 0.7694 0.572 0.000 0.000 0.052 0.376
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.2471 0.7853 0.000 0.864 0.000 0.000 0.136
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.5002 0.7815 0.596 0.000 0.000 0.040 0.364
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.1124 0.77867 0.000 0.956 0.000 0.008 0.036 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.3634 0.41090 0.644 0.000 0.000 0.356 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.1666 0.77393 0.000 0.936 0.000 0.008 0.036 0.020
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.3351 0.61327 0.712 0.000 0.000 0.000 0.288 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.1542 0.77252 0.000 0.936 0.000 0.008 0.052 0.004
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3383 0.62599 0.728 0.000 0.000 0.004 0.268 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.1814 0.77607 0.000 0.900 0.000 0.000 0.000 0.100
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0146 0.89567 0.000 0.000 0.996 0.004 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 6 0.5231 0.54341 0.000 0.044 0.236 0.024 0.028 0.668
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.1908 0.88681 0.096 0.000 0.000 0.004 0.900 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.1901 0.75947 0.912 0.000 0.000 0.008 0.076 0.004
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.3647 0.40746 0.360 0.000 0.000 0.640 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.4408 0.42144 0.000 0.512 0.000 0.008 0.012 0.468
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0146 0.89567 0.000 0.000 0.996 0.004 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0146 0.89567 0.000 0.000 0.996 0.004 0.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.3647 0.49440 0.640 0.000 0.000 0.000 0.360 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.1910 0.77452 0.000 0.892 0.000 0.000 0.000 0.108
#> 825E6C11-F460-451A-8045-846DD7D0E945 5 0.1765 0.88793 0.096 0.000 0.000 0.000 0.904 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.3136 0.67914 0.000 0.768 0.000 0.000 0.004 0.228
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.1410 0.77560 0.000 0.944 0.000 0.008 0.044 0.004
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0632 0.73926 0.000 0.000 0.024 0.976 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 6 0.3684 0.44025 0.000 0.000 0.332 0.000 0.004 0.664
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.2454 0.84165 0.160 0.000 0.000 0.000 0.840 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.1542 0.76403 0.936 0.000 0.000 0.008 0.052 0.004
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.1168 0.76916 0.956 0.000 0.000 0.028 0.016 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.3489 0.60157 0.000 0.708 0.000 0.000 0.004 0.288
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 4 0.3707 0.48863 0.000 0.000 0.312 0.680 0.008 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3448 0.53186 0.716 0.000 0.000 0.280 0.000 0.004
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4209 0.10705 0.588 0.000 0.000 0.012 0.396 0.004
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 5 0.3437 0.75363 0.236 0.004 0.000 0.008 0.752 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 6 0.3601 0.46765 0.000 0.000 0.312 0.000 0.004 0.684
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1753 0.74110 0.912 0.000 0.000 0.084 0.000 0.004
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.0508 0.65450 0.000 0.004 0.012 0.000 0.000 0.984
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.3774 0.38104 0.592 0.000 0.000 0.000 0.408 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.2558 0.72984 0.840 0.000 0.000 0.000 0.156 0.004
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.2631 0.71953 0.820 0.000 0.000 0.000 0.180 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.1036 0.78173 0.000 0.964 0.000 0.008 0.024 0.004
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 6 0.3489 0.53218 0.000 0.288 0.000 0.000 0.004 0.708
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.1341 0.76907 0.948 0.000 0.000 0.028 0.024 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.3864 0.07556 0.520 0.000 0.000 0.480 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0891 0.77050 0.968 0.000 0.000 0.008 0.024 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0363 0.78608 0.000 0.988 0.000 0.000 0.000 0.012
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0653 0.89207 0.000 0.000 0.980 0.004 0.004 0.012
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.1655 0.78840 0.000 0.932 0.000 0.008 0.008 0.052
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.0858 0.87970 0.000 0.000 0.968 0.000 0.004 0.028
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.2668 0.68858 0.828 0.000 0.000 0.168 0.000 0.004
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.1442 0.76927 0.944 0.000 0.000 0.012 0.040 0.004
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 6 0.3668 0.44747 0.000 0.000 0.328 0.000 0.004 0.668
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.3668 0.51304 0.000 0.668 0.000 0.000 0.004 0.328
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.4084 0.64621 0.000 0.756 0.000 0.012 0.056 0.176
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#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 6 0.4237 0.31933 0.000 0.000 0.396 0.000 0.020 0.584
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.2009 0.75477 0.904 0.000 0.000 0.008 0.084 0.004
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.4352 0.60616 0.000 0.720 0.000 0.012 0.056 0.212
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.2362 0.74774 0.860 0.000 0.000 0.000 0.136 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 18133 rows and 198 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 4.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.887 0.929 0.970 0.5004 0.498 0.498
#> 3 3 0.764 0.871 0.928 0.2548 0.863 0.731
#> 4 4 0.939 0.930 0.969 0.0877 0.905 0.763
#> 5 5 0.786 0.682 0.834 0.0887 0.933 0.796
#> 6 6 0.789 0.788 0.891 0.0764 0.913 0.687
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.000 0.958 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.000 0.979 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.000 0.958 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.000 0.979 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.000 0.958 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.000 0.979 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.000 0.958 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.973 0.371 0.404 0.596
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.000 0.958 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.866 0.590 0.712 0.288
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.000 0.979 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.000 0.979 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.000 0.958 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.634 0.805 0.160 0.840
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.634 0.805 0.160 0.840
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.000 0.979 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.000 0.958 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.000 0.979 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.000 0.958 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.000 0.958 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.000 0.979 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.000 0.958 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.000 0.979 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.000 0.979 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.000 0.979 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.000 0.958 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.000 0.979 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.000 0.979 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.000 0.979 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.518 0.857 0.884 0.116
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.000 0.958 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.000 0.979 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.000 0.958 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.000 0.979 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.000 0.979 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.000 0.979 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.000 0.958 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.000 0.958 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.000 0.979 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.000 0.979 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.000 0.979 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.000 0.958 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.987 0.293 0.432 0.568
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.000 0.958 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.949 0.458 0.368 0.632
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.000 0.979 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.000 0.979 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.000 0.958 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.000 0.958 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.000 0.958 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.000 0.979 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.000 0.979 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.000 0.979 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.000 0.979 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.000 0.979 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.000 0.958 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.000 0.979 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.000 0.979 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.000 0.958 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.980 0.339 0.416 0.584
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.000 0.979 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 1 0.753 0.710 0.784 0.216
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.000 0.958 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.000 0.979 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.000 0.958 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.000 0.979 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.000 0.979 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.000 0.958 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.000 0.958 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.000 0.958 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.000 0.958 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.000 0.979 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.000 0.979 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.000 0.958 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.000 0.979 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.000 0.979 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.000 0.958 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.000 0.958 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.416 0.893 0.916 0.084
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.000 0.958 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.000 0.979 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.000 0.958 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.000 0.958 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.000 0.958 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.000 0.979 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.000 0.979 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.000 0.979 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.563 0.835 0.868 0.132
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.000 0.979 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.000 0.979 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.000 0.979 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.518 0.855 0.884 0.116
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.000 0.979 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.000 0.958 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.969 0.392 0.396 0.604
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.000 0.958 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.000 0.958 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.000 0.958 0.000 1.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.000 0.979 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.000 0.979 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.000 0.979 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.000 0.979 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.000 0.979 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.000 0.958 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.000 0.958 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.000 0.958 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.000 0.958 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.000 0.979 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.000 0.979 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.000 0.958 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.000 0.979 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.000 0.958 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.000 0.958 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.000 0.979 1.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.000 0.958 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.000 0.958 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.000 0.958 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.000 0.979 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.000 0.979 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.000 0.958 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.000 0.979 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.000 0.979 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.000 0.979 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.000 0.979 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.000 0.979 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.000 0.979 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.000 0.979 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.634 0.805 0.160 0.840
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.975 0.361 0.408 0.592
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.000 0.958 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.000 0.979 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.000 0.979 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.000 0.979 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.000 0.958 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.456 0.868 0.096 0.904
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.900 0.534 0.684 0.316
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.000 0.958 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.000 0.979 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.000 0.958 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.000 0.979 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.000 0.958 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.000 0.979 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.000 0.979 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.000 0.979 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.000 0.979 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.000 0.979 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.000 0.958 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.000 0.958 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.000 0.979 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.000 0.958 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.000 0.979 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.000 0.958 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.000 0.958 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.634 0.805 0.160 0.840
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.000 0.979 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.000 0.958 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.000 0.958 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.000 0.979 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.000 0.958 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.000 0.958 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.925 0.518 0.340 0.660
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.000 0.958 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.000 0.979 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.000 0.958 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.000 0.958 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.000 0.958 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.634 0.805 0.160 0.840
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.000 0.979 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.000 0.979 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.000 0.958 0.000 1.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 1 0.917 0.489 0.668 0.332
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.000 0.958 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.000 0.979 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.000 0.979 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.000 0.958 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.000 0.979 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.000 0.958 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.000 0.958 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.000 0.979 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.000 0.979 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.000 0.958 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.000 0.979 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.000 0.958 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.000 0.979 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.634 0.805 0.160 0.840
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.000 0.958 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.000 0.958 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.000 0.979 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.000 0.979 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.987 0.236 0.568 0.432
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.000 0.958 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.000 0.979 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.000 0.979 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.000 0.958 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.000 0.958 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.000 0.979 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.000 0.958 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.000 0.979 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.974 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.5291 0.758 0.732 0.000 0.268
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.974 0.000 1.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.884 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.974 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.1411 0.875 0.964 0.000 0.036
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.974 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.2261 0.845 0.000 0.068 0.932
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0237 0.971 0.000 0.996 0.004
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.884 1.000 0.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.884 1.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.6280 0.388 0.540 0.000 0.460
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.974 0.000 1.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.4654 0.718 0.000 0.208 0.792
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.4654 0.718 0.000 0.208 0.792
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.884 1.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.974 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4605 0.809 0.796 0.000 0.204
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.974 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.974 0.000 1.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 3 0.4399 0.701 0.188 0.000 0.812
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.4605 0.765 0.000 0.796 0.204
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.884 1.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.884 1.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.3752 0.842 0.856 0.000 0.144
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.974 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.4235 0.716 0.176 0.000 0.824
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.5327 0.754 0.728 0.000 0.272
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4452 0.816 0.808 0.000 0.192
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.4121 0.828 0.832 0.000 0.168
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4399 0.786 0.000 0.812 0.188
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.884 1.000 0.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.974 0.000 1.000 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.884 1.000 0.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.884 1.000 0.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.884 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.974 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.974 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.884 1.000 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.5327 0.754 0.728 0.000 0.272
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.884 1.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.974 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0000 0.855 0.000 0.000 1.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.974 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.2878 0.831 0.000 0.096 0.904
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.4178 0.831 0.828 0.000 0.172
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.884 1.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.4399 0.786 0.000 0.812 0.188
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.974 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.974 0.000 1.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.5327 0.754 0.728 0.000 0.272
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.4654 0.806 0.792 0.000 0.208
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.1860 0.865 0.948 0.000 0.052
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.884 1.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.4702 0.804 0.788 0.000 0.212
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.974 0.000 1.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 3 0.4399 0.701 0.188 0.000 0.812
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 3 0.4399 0.701 0.188 0.000 0.812
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.4399 0.786 0.000 0.812 0.188
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.1643 0.851 0.000 0.044 0.956
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.884 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.855 0.000 0.000 1.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.974 0.000 1.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.2261 0.859 0.932 0.000 0.068
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.974 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0237 0.883 0.996 0.000 0.004
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.884 1.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.974 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.974 0.000 1.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.4399 0.786 0.000 0.812 0.188
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.974 0.000 1.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 3 0.0892 0.849 0.020 0.000 0.980
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.884 1.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.974 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.4702 0.804 0.788 0.000 0.212
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.884 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.4002 0.819 0.000 0.840 0.160
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.974 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 3 0.0000 0.855 0.000 0.000 1.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.974 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.5327 0.754 0.728 0.000 0.272
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.974 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.974 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.4399 0.786 0.000 0.812 0.188
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.884 1.000 0.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.5327 0.754 0.728 0.000 0.272
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.884 1.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.0000 0.855 0.000 0.000 1.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.4654 0.806 0.792 0.000 0.208
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.4062 0.834 0.836 0.000 0.164
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.4702 0.804 0.788 0.000 0.212
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.855 0.000 0.000 1.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.884 1.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.4399 0.786 0.000 0.812 0.188
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.0000 0.855 0.000 0.000 1.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.974 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.974 0.000 1.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 0.974 0.000 1.000 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.3941 0.834 0.844 0.000 0.156
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.4235 0.826 0.824 0.000 0.176
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.4702 0.804 0.788 0.000 0.212
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0892 0.877 0.980 0.000 0.020
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.884 1.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.974 0.000 1.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.974 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.974 0.000 1.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.974 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0237 0.883 0.996 0.000 0.004
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.884 1.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.974 0.000 1.000 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.884 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.974 0.000 1.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.974 0.000 1.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.0000 0.855 0.000 0.000 1.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.974 0.000 1.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.974 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.974 0.000 1.000 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.5327 0.754 0.728 0.000 0.272
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 3 0.4399 0.701 0.188 0.000 0.812
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.974 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.884 1.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.1529 0.840 0.040 0.000 0.960
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.884 1.000 0.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.5138 0.772 0.748 0.000 0.252
#> D005833F-E991-4E9E-9667-55F137288004 1 0.6308 0.290 0.508 0.000 0.492
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.6225 0.462 0.568 0.000 0.432
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.884 1.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.4887 0.726 0.000 0.772 0.228
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.2261 0.845 0.000 0.068 0.932
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.974 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.884 1.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.884 1.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.884 1.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.974 0.000 1.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0237 0.970 0.000 0.996 0.004
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.884 1.000 0.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.974 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.4702 0.804 0.788 0.000 0.212
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.974 0.000 1.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.4654 0.807 0.792 0.000 0.208
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 0.974 0.000 1.000 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.3340 0.844 0.880 0.000 0.120
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0892 0.877 0.980 0.000 0.020
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.4702 0.804 0.788 0.000 0.212
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.884 1.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.4121 0.831 0.832 0.000 0.168
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.974 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.974 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 3 0.4399 0.701 0.188 0.000 0.812
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.974 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.884 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.974 0.000 1.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0237 0.971 0.000 0.996 0.004
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.4555 0.730 0.000 0.200 0.800
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.5327 0.754 0.728 0.000 0.272
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.974 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.974 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.884 1.000 0.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.4555 0.770 0.000 0.800 0.200
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.974 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.2261 0.845 0.000 0.068 0.932
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.974 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.5327 0.754 0.728 0.000 0.272
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.974 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.974 0.000 1.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.974 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.4555 0.730 0.000 0.200 0.800
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0747 0.881 0.984 0.000 0.016
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 3 0.4399 0.701 0.188 0.000 0.812
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.0592 0.963 0.000 0.988 0.012
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.0475 0.855 0.004 0.004 0.992
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.974 0.000 1.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.884 1.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.884 1.000 0.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.974 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.4702 0.804 0.788 0.000 0.212
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.974 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.974 0.000 1.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.4654 0.807 0.792 0.000 0.208
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.2261 0.868 0.932 0.000 0.068
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.974 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.884 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.974 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.5327 0.754 0.728 0.000 0.272
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.4555 0.730 0.000 0.200 0.800
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.974 0.000 1.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.974 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 3 0.1529 0.840 0.040 0.000 0.960
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.884 1.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.9140 0.166 0.452 0.404 0.144
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.974 0.000 1.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0424 0.883 0.992 0.000 0.008
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.884 1.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.974 0.000 1.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 3 0.5327 0.602 0.000 0.272 0.728
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.884 1.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.974 0.000 1.000 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.884 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.1940 0.853 0.076 0.000 0.000 0.924
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0817 0.953 0.976 0.000 0.000 0.024
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0336 0.963 0.000 0.992 0.000 0.008
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0921 0.953 0.972 0.000 0.000 0.028
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.3610 0.764 0.800 0.000 0.000 0.200
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.4406 0.610 0.700 0.000 0.000 0.300
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.1022 0.951 0.968 0.000 0.000 0.032
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0921 0.953 0.972 0.000 0.000 0.028
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.4994 0.155 0.000 0.520 0.480 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.0188 0.995 0.000 0.000 0.996 0.004
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.1867 0.921 0.928 0.000 0.000 0.072
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.3444 0.792 0.000 0.816 0.184 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.1022 0.951 0.968 0.000 0.000 0.032
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.2973 0.777 0.144 0.000 0.000 0.856
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.1302 0.944 0.956 0.000 0.000 0.044
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.3444 0.792 0.000 0.816 0.184 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 4 0.1211 0.898 0.040 0.000 0.000 0.960
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0817 0.952 0.976 0.000 0.000 0.024
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.3444 0.792 0.000 0.816 0.184 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.4193 0.655 0.732 0.000 0.000 0.268
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.3311 0.806 0.000 0.828 0.172 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.3444 0.792 0.000 0.816 0.184 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.1211 0.947 0.960 0.000 0.000 0.040
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.3172 0.825 0.840 0.000 0.000 0.160
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.1211 0.947 0.960 0.000 0.000 0.040
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.3444 0.792 0.000 0.816 0.184 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.3172 0.765 0.000 0.000 0.160 0.840
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.1022 0.951 0.968 0.000 0.000 0.032
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0921 0.954 0.972 0.000 0.000 0.028
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.1716 0.929 0.936 0.000 0.000 0.064
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.1022 0.946 0.968 0.000 0.000 0.032
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 4 0.1118 0.906 0.000 0.000 0.036 0.964
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.4356 0.628 0.708 0.000 0.000 0.292
#> D005833F-E991-4E9E-9667-55F137288004 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.3751 0.773 0.000 0.800 0.196 0.004
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.1302 0.944 0.956 0.000 0.000 0.044
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.1022 0.952 0.968 0.000 0.000 0.032
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.1389 0.894 0.048 0.000 0.000 0.952
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0707 0.954 0.980 0.000 0.000 0.020
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.1302 0.944 0.956 0.000 0.000 0.044
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0921 0.954 0.972 0.000 0.000 0.028
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0707 0.955 0.000 0.980 0.020 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 4 0.6650 0.411 0.000 0.200 0.176 0.624
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.3649 0.767 0.000 0.796 0.204 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.2647 0.842 0.000 0.880 0.000 0.120
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.4356 0.563 0.292 0.000 0.000 0.708
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.1302 0.944 0.956 0.000 0.000 0.044
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.1022 0.952 0.968 0.000 0.000 0.032
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0336 0.962 0.992 0.000 0.000 0.008
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.935 0.000 0.000 0.000 1.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.5078 0.551 0.700 0.272 0.000 0.028
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 4 0.4888 0.348 0.412 0.000 0.000 0.588
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.3444 0.792 0.000 0.816 0.184 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.964 1.000 0.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.970 0.000 1.000 0.000 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.964 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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.5648 0.8266 0.076 0.000 0.000 0.476 0.448
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0290 0.8033 0.992 0.000 0.000 0.008 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0290 0.8030 0.992 0.000 0.000 0.000 0.008
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.3586 0.3536 0.000 0.736 0.000 0.000 0.264
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.8023 1.000 0.000 0.000 0.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.1851 0.7411 0.000 0.912 0.000 0.000 0.088
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0609 0.8025 0.980 0.000 0.000 0.020 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0963 0.7941 0.964 0.000 0.000 0.036 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.4294 0.9162 0.000 0.000 0.000 0.532 0.468
#> EDD7E63D-492A-473B-A552-0764337B10EF 5 0.4302 -0.3035 0.000 0.000 0.480 0.000 0.520
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.8023 1.000 0.000 0.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.3171 0.6616 0.816 0.000 0.000 0.176 0.008
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.3074 0.5430 0.000 0.804 0.000 0.000 0.196
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3957 0.5097 0.712 0.000 0.000 0.280 0.008
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4088 0.6802 0.632 0.000 0.000 0.368 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0880 0.7972 0.968 0.000 0.000 0.032 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 5 0.5201 0.6744 0.000 0.424 0.044 0.000 0.532
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.4294 0.6188 0.532 0.000 0.000 0.468 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 5 0.4294 0.6641 0.000 0.468 0.000 0.000 0.532
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0510 0.8029 0.984 0.000 0.000 0.016 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 5 0.4304 0.6314 0.000 0.484 0.000 0.000 0.516
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0290 0.8034 0.992 0.000 0.000 0.008 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0290 0.8034 0.992 0.000 0.000 0.008 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0912 0.9330 0.000 0.000 0.972 0.012 0.016
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 5 0.4549 -0.2836 0.000 0.000 0.464 0.008 0.528
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.1544 0.7847 0.932 0.000 0.000 0.068 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0290 0.8034 0.992 0.000 0.000 0.008 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 5 0.4882 0.6889 0.000 0.444 0.024 0.000 0.532
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.4210 -0.2820 0.000 0.588 0.000 0.000 0.412
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.2891 0.5885 0.000 0.824 0.000 0.000 0.176
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.1043 0.7925 0.960 0.000 0.000 0.040 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.2329 0.2048 0.124 0.000 0.000 0.876 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0290 0.8034 0.992 0.000 0.000 0.008 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.1197 0.7889 0.952 0.000 0.000 0.048 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 5 0.4294 0.6641 0.000 0.468 0.000 0.000 0.532
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.4294 0.9162 0.000 0.000 0.000 0.532 0.468
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 5 0.4882 0.6889 0.000 0.444 0.024 0.000 0.532
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0404 0.9422 0.000 0.000 0.988 0.000 0.012
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 4 0.0963 0.3119 0.036 0.000 0.000 0.964 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0162 0.8225 0.000 0.996 0.000 0.000 0.004
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0912 0.8023 0.972 0.000 0.000 0.012 0.016
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0290 0.8034 0.992 0.000 0.000 0.008 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0162 0.8226 0.000 0.996 0.000 0.000 0.004
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 5 0.4882 0.6889 0.000 0.444 0.024 0.000 0.532
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.4440 0.9137 0.000 0.000 0.004 0.528 0.468
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0290 0.8034 0.992 0.000 0.000 0.008 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.4836 0.5958 0.716 0.000 0.000 0.096 0.188
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.4278 0.6231 0.548 0.000 0.000 0.452 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 5 0.4829 0.6203 0.000 0.484 0.020 0.000 0.496
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.4126 -0.1355 0.000 0.620 0.000 0.000 0.380
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.4294 0.9162 0.000 0.000 0.000 0.532 0.468
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.4249 -0.3615 0.000 0.568 0.000 0.000 0.432
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.4182 -0.2235 0.000 0.600 0.000 0.000 0.400
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.2020 0.7198 0.000 0.900 0.000 0.000 0.100
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 5 0.4882 0.6889 0.000 0.444 0.024 0.000 0.532
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0404 0.8032 0.988 0.000 0.000 0.012 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.4294 0.9162 0.000 0.000 0.000 0.532 0.468
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.1197 0.7889 0.952 0.000 0.000 0.048 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.2798 0.7081 0.852 0.000 0.000 0.140 0.008
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.1121 0.7908 0.956 0.000 0.000 0.044 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.8023 1.000 0.000 0.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 5 0.4882 0.6889 0.000 0.444 0.024 0.000 0.532
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 4 0.4727 0.9053 0.000 0.000 0.016 0.532 0.452
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.1121 0.7827 0.000 0.956 0.000 0.000 0.044
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.4307 0.6067 0.500 0.000 0.000 0.500 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0963 0.7944 0.964 0.000 0.000 0.036 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.1608 0.7744 0.928 0.000 0.000 0.072 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.4297 0.6120 0.528 0.000 0.000 0.472 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0162 0.8226 0.000 0.996 0.000 0.000 0.004
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.4126 -0.1355 0.000 0.620 0.000 0.000 0.380
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.4060 -0.0416 0.000 0.640 0.000 0.000 0.360
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.8023 1.000 0.000 0.000 0.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.2074 0.7828 0.896 0.000 0.000 0.104 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 5 0.4300 0.6493 0.000 0.476 0.000 0.000 0.524
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 5 0.4294 0.6641 0.000 0.468 0.000 0.000 0.532
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 4 0.4538 0.9135 0.000 0.000 0.008 0.540 0.452
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.4273 -0.4332 0.000 0.552 0.000 0.000 0.448
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.4235 -0.3463 0.000 0.576 0.000 0.000 0.424
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.4294 0.9162 0.000 0.000 0.000 0.532 0.468
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.4294 0.6188 0.532 0.000 0.000 0.468 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.4779 0.5583 0.716 0.000 0.000 0.200 0.084
#> D005833F-E991-4E9E-9667-55F137288004 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 5 0.5131 0.6850 0.000 0.436 0.024 0.008 0.532
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.8023 1.000 0.000 0.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.4278 0.6231 0.548 0.000 0.000 0.452 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.4278 0.6231 0.548 0.000 0.000 0.452 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0162 0.8226 0.000 0.996 0.000 0.000 0.004
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.8023 1.000 0.000 0.000 0.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.1197 0.7889 0.952 0.000 0.000 0.048 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.3999 0.0334 0.000 0.656 0.000 0.000 0.344
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0794 0.7962 0.972 0.000 0.000 0.028 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.1965 0.7260 0.000 0.904 0.000 0.000 0.096
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.5293 0.8704 0.048 0.000 0.000 0.492 0.460
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.2516 0.7705 0.860 0.000 0.000 0.140 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.1197 0.7889 0.952 0.000 0.000 0.048 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.1043 0.7953 0.960 0.000 0.000 0.040 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0162 0.8226 0.000 0.996 0.000 0.000 0.004
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 5 0.4546 0.6742 0.000 0.460 0.008 0.000 0.532
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 5 0.1800 -0.1930 0.000 0.000 0.020 0.048 0.932
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.2074 0.7119 0.000 0.896 0.000 0.000 0.104
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.3913 0.1450 0.000 0.676 0.000 0.000 0.324
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.8023 1.000 0.000 0.000 0.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 5 0.4942 0.6837 0.000 0.432 0.028 0.000 0.540
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.3143 0.5254 0.000 0.796 0.000 0.000 0.204
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.4060 -0.0396 0.000 0.640 0.000 0.000 0.360
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.4300 0.2970 0.000 0.000 0.524 0.000 0.476
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0290 0.8034 0.992 0.000 0.000 0.008 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.4294 0.9162 0.000 0.000 0.000 0.532 0.468
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.2286 0.6495 0.000 0.888 0.000 0.004 0.108
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.4294 0.9162 0.000 0.000 0.000 0.532 0.468
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.3039 0.7498 0.808 0.000 0.000 0.192 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.3636 -0.1835 0.272 0.000 0.000 0.728 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0162 0.8226 0.000 0.996 0.000 0.000 0.004
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.1197 0.7889 0.952 0.000 0.000 0.048 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0794 0.7962 0.972 0.000 0.000 0.028 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0290 0.8015 0.992 0.000 0.000 0.008 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 5 0.4304 0.6314 0.000 0.484 0.000 0.000 0.516
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.1410 0.7948 0.940 0.000 0.000 0.060 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 5 0.4304 0.6314 0.000 0.484 0.000 0.000 0.516
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.4287 0.9184 0.000 0.000 0.000 0.540 0.460
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.4291 -0.4874 0.000 0.536 0.000 0.000 0.464
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.4440 0.9137 0.000 0.000 0.004 0.528 0.468
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.4464 0.4845 0.684 0.288 0.000 0.028 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 5 0.6415 -0.5203 0.400 0.000 0.000 0.172 0.428
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0290 0.8034 0.992 0.000 0.000 0.008 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.3857 0.1666 0.000 0.688 0.000 0.000 0.312
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 5 0.4872 0.6862 0.000 0.436 0.024 0.000 0.540
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.4287 0.6217 0.540 0.000 0.000 0.460 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.8253 0.000 1.000 0.000 0.000 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0404 0.8037 0.988 0.000 0.000 0.012 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.89022 0.000 1.000 0.000 0.000 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.3309 0.73614 0.280 0.000 0.000 0.720 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.89022 0.000 1.000 0.000 0.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.2738 0.82218 0.820 0.000 0.000 0.000 0.176 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.89022 0.000 1.000 0.000 0.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0777 0.80639 0.972 0.000 0.000 0.004 0.024 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.89022 0.000 1.000 0.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.96681 0.000 0.000 1.000 0.000 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.3975 0.02759 0.000 0.544 0.000 0.004 0.000 0.452
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.3215 0.77528 0.756 0.000 0.000 0.000 0.240 0.004
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 5 0.0000 0.90479 0.000 0.000 0.000 0.000 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.2146 0.89314 0.116 0.000 0.000 0.880 0.004 0.000
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#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 6 0.0146 0.81147 0.000 0.004 0.000 0.000 0.000 0.996
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.89022 0.000 1.000 0.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0000 0.96681 0.000 0.000 1.000 0.000 0.000 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.2823 0.69665 0.000 0.796 0.000 0.000 0.000 0.204
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.2048 0.89359 0.120 0.000 0.000 0.880 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.89022 0.000 1.000 0.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.89022 0.000 1.000 0.000 0.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.3782 0.28676 0.000 0.588 0.000 0.000 0.000 0.412
#> 765AFFC1-D528-4494-8BA1-0706451E4205 6 0.2730 0.62854 0.000 0.000 0.192 0.000 0.000 0.808
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.1327 0.79849 0.936 0.000 0.000 0.000 0.064 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.88645 0.000 0.000 0.000 1.000 0.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.2234 0.76562 0.000 0.872 0.000 0.124 0.000 0.004
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.0000 0.88645 0.000 0.000 0.000 1.000 0.000 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.89022 0.000 1.000 0.000 0.000 0.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 5 0.3647 0.12850 0.360 0.000 0.000 0.000 0.640 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 5 0.1267 0.86095 0.060 0.000 0.000 0.000 0.940 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0146 0.88815 0.000 0.996 0.000 0.000 0.000 0.004
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.2482 0.83305 0.848 0.000 0.000 0.000 0.148 0.004
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.89022 0.000 1.000 0.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.89022 0.000 1.000 0.000 0.000 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.2482 0.83305 0.848 0.000 0.000 0.000 0.148 0.004
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0632 0.81961 0.976 0.000 0.000 0.000 0.024 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 6 0.2300 0.78147 0.000 0.144 0.000 0.000 0.000 0.856
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.3620 0.39738 0.648 0.000 0.000 0.000 0.352 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 6 0.2260 0.78388 0.000 0.140 0.000 0.000 0.000 0.860
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.2048 0.89359 0.120 0.000 0.000 0.880 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.96681 0.000 0.000 1.000 0.000 0.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.89022 0.000 1.000 0.000 0.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 6 0.3851 0.12999 0.000 0.460 0.000 0.000 0.000 0.540
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.88645 0.000 0.000 0.000 1.000 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 5 0.0000 0.90479 0.000 0.000 0.000 0.000 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.5529 0.47746 0.556 0.292 0.000 0.000 0.148 0.004
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.89022 0.000 1.000 0.000 0.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 4 0.5434 0.45648 0.212 0.000 0.000 0.596 0.188 0.004
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2883 0.81964 0.788 0.000 0.000 0.000 0.212 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 6 0.3620 0.52556 0.000 0.352 0.000 0.000 0.000 0.648
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 6 0.0146 0.80724 0.000 0.000 0.000 0.004 0.000 0.996
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 5 0.0000 0.90479 0.000 0.000 0.000 0.000 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.89022 0.000 1.000 0.000 0.000 0.000 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.3023 0.81247 0.768 0.000 0.000 0.000 0.232 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 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.996 0.998 0.5029 0.498 0.498
#> 3 3 0.881 0.910 0.953 0.2386 0.845 0.696
#> 4 4 0.760 0.350 0.859 0.0682 0.907 0.777
#> 5 5 0.700 0.655 0.788 0.1044 0.894 0.729
#> 6 6 0.728 0.680 0.795 0.0439 0.892 0.651
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.000 0.997 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.000 0.999 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.000 0.997 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.000 0.999 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.000 0.997 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.000 0.999 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.000 0.997 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.000 0.997 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.000 0.997 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.000 0.999 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.000 0.999 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.000 0.999 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.000 0.997 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.000 0.997 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.000 0.997 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.000 0.999 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.000 0.997 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.000 0.999 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.000 0.997 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.000 0.997 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.000 0.999 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.000 0.997 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.000 0.999 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.000 0.999 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.000 0.999 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.000 0.997 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.000 0.999 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.000 0.999 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.000 0.999 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.000 0.999 1.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.000 0.997 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.000 0.999 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.000 0.997 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.000 0.999 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.000 0.999 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.000 0.999 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.000 0.997 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.000 0.997 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.000 0.999 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.000 0.999 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.000 0.999 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.000 0.997 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.000 0.997 0.000 1.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.000 0.997 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.000 0.997 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.000 0.999 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.000 0.999 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.000 0.997 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.000 0.997 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.000 0.997 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.000 0.999 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.000 0.999 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.000 0.999 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.000 0.999 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.000 0.999 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.000 0.997 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.000 0.999 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.000 0.999 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.000 0.997 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.000 0.997 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.000 0.999 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 2 0.000 0.997 0.000 1.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.000 0.997 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.000 0.999 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.000 0.997 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.000 0.999 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.000 0.999 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.000 0.997 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.000 0.997 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.000 0.997 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.000 0.997 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.000 0.999 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.000 0.999 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.000 0.997 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.000 0.999 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.000 0.999 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.000 0.997 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.000 0.997 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.000 0.999 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.000 0.997 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.000 0.999 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.000 0.997 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.000 0.997 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.000 0.997 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.000 0.999 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.000 0.999 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.000 0.999 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 2 0.118 0.981 0.016 0.984
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.000 0.999 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.000 0.999 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.000 0.999 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 2 0.000 0.997 0.000 1.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.000 0.999 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.000 0.997 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.000 0.997 0.000 1.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.000 0.997 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.000 0.997 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.000 0.997 0.000 1.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.000 0.999 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.000 0.999 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.000 0.999 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.000 0.999 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.000 0.999 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.000 0.997 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.000 0.997 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.000 0.997 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.000 0.997 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.000 0.999 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.000 0.999 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.000 0.997 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.000 0.999 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.000 0.997 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.000 0.997 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 2 0.000 0.997 0.000 1.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.000 0.997 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.000 0.997 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.000 0.997 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.000 0.999 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.000 0.999 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.000 0.997 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.000 0.999 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.327 0.936 0.940 0.060
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.000 0.999 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.000 0.999 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.000 0.999 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.000 0.999 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.000 0.999 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.000 0.997 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.000 0.997 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.000 0.997 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.000 0.999 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.000 0.999 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.000 0.999 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.000 0.997 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.000 0.997 0.000 1.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.000 0.999 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.000 0.997 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.000 0.999 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.000 0.997 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.000 0.999 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.000 0.997 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.000 0.999 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.000 0.999 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.000 0.999 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.000 0.999 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.000 0.999 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.000 0.997 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.000 0.997 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.000 0.999 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.000 0.997 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.000 0.999 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.000 0.997 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.000 0.997 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.000 0.997 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.000 0.999 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.000 0.997 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.000 0.997 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.000 0.999 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.000 0.997 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.000 0.997 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.000 0.997 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.000 0.997 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.000 0.999 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.000 0.997 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.000 0.997 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.000 0.997 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.000 0.997 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.000 0.999 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.000 0.999 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.000 0.997 0.000 1.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.000 0.997 0.000 1.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.000 0.997 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.000 0.999 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.000 0.999 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.000 0.997 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.000 0.999 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.000 0.997 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.000 0.997 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.000 0.999 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.000 0.999 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.000 0.997 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.000 0.999 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.000 0.997 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.000 0.999 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.000 0.997 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.000 0.997 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.000 0.997 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.000 0.999 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.000 0.999 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 2 0.850 0.618 0.276 0.724
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.000 0.997 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.000 0.999 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.000 0.999 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.000 0.997 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.000 0.997 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.000 0.999 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.000 0.997 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.000 0.999 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.9709 0.000 1.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.9908 1.000 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.9709 0.000 1.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.9908 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.9709 0.000 1.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.9908 1.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.9709 0.000 1.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.8050 0.000 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4291 0.7526 0.000 0.820 0.180
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.9908 1.000 0.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.9908 1.000 0.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 0.9908 1.000 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.9709 0.000 1.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.0000 0.8050 0.000 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.0000 0.8050 0.000 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.9908 1.000 0.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.9709 0.000 1.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.9908 1.000 0.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.9709 0.000 1.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.9709 0.000 1.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 3 0.5621 0.5450 0.308 0.000 0.692
#> EDD7E63D-492A-473B-A552-0764337B10EF 3 0.2796 0.7843 0.000 0.092 0.908
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.9908 1.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.9908 1.000 0.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.9908 1.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.9709 0.000 1.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.4555 0.7129 0.200 0.000 0.800
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.9908 1.000 0.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0000 0.9908 1.000 0.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0000 0.9908 1.000 0.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.5138 0.6518 0.000 0.748 0.252
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.9908 1.000 0.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.6215 0.4621 0.000 0.428 0.572
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.9908 1.000 0.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.9908 1.000 0.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.9908 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.9709 0.000 1.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.9709 0.000 1.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.9908 1.000 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.9908 1.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.9908 1.000 0.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.9709 0.000 1.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0000 0.8050 0.000 0.000 1.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.9709 0.000 1.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.0000 0.8050 0.000 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.9908 1.000 0.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.9908 1.000 0.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.4346 0.7471 0.000 0.816 0.184
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.9709 0.000 1.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0747 0.9606 0.000 0.984 0.016
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.9908 1.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.9908 1.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.9908 1.000 0.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.9908 1.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.2261 0.9175 0.932 0.000 0.068
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.3686 0.8103 0.000 0.860 0.140
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.9908 1.000 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 3 0.4178 0.7432 0.172 0.000 0.828
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.4974 0.6903 0.000 0.236 0.764
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.0000 0.8050 0.000 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.9908 1.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.8050 0.000 0.000 1.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.9709 0.000 1.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.9908 1.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.9709 0.000 1.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.9908 1.000 0.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.9908 1.000 0.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.9709 0.000 1.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.1411 0.9431 0.000 0.964 0.036
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.3482 0.8317 0.000 0.872 0.128
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.9709 0.000 1.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 3 0.4178 0.7432 0.172 0.000 0.828
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.9908 1.000 0.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.9709 0.000 1.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.9908 1.000 0.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.9908 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.6062 0.5432 0.000 0.384 0.616
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.9709 0.000 1.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 3 0.4178 0.7432 0.172 0.000 0.828
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.9709 0.000 1.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 0.9908 1.000 0.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.9709 0.000 1.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.9709 0.000 1.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 3 0.6252 0.4180 0.000 0.444 0.556
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.9908 1.000 0.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 0.9908 1.000 0.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.9908 1.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.4413 0.7683 0.008 0.160 0.832
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 0.9908 1.000 0.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.9908 1.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0000 0.9908 1.000 0.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.8050 0.000 0.000 1.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.9908 1.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.5968 0.5760 0.000 0.364 0.636
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.4121 0.7640 0.000 0.168 0.832
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.9709 0.000 1.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.9709 0.000 1.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.1031 0.9550 0.000 0.976 0.024
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.9908 1.000 0.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.9908 1.000 0.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.9908 1.000 0.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.9908 1.000 0.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.9908 1.000 0.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0747 0.9606 0.000 0.984 0.016
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.9709 0.000 1.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0747 0.9606 0.000 0.984 0.016
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.9709 0.000 1.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.9908 1.000 0.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.9908 1.000 0.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.4931 0.6407 0.000 0.768 0.232
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.9908 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0747 0.9608 0.000 0.984 0.016
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.9709 0.000 1.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.0000 0.8050 0.000 0.000 1.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.1529 0.9412 0.000 0.960 0.040
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.9709 0.000 1.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.6235 0.4454 0.000 0.436 0.564
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0000 0.9908 1.000 0.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.4796 0.7051 0.780 0.000 0.220
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.9709 0.000 1.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.9908 1.000 0.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.4121 0.7463 0.168 0.000 0.832
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.9908 1.000 0.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.9908 1.000 0.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.9908 1.000 0.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0000 0.9908 1.000 0.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.9908 1.000 0.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.1163 0.8031 0.000 0.028 0.972
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.0000 0.8050 0.000 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.9709 0.000 1.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.9908 1.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.9908 1.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.9908 1.000 0.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.1031 0.9543 0.000 0.976 0.024
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 3 0.6309 0.2483 0.000 0.500 0.500
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.9908 1.000 0.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.9709 0.000 1.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.9908 1.000 0.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.1529 0.9406 0.000 0.960 0.040
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.9908 1.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.6140 0.5072 0.000 0.404 0.596
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.9908 1.000 0.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.9908 1.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.9908 1.000 0.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.9908 1.000 0.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.9908 1.000 0.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.9709 0.000 1.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.9709 0.000 1.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.9908 1.000 0.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.9709 0.000 1.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.9908 1.000 0.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0424 0.9661 0.000 0.992 0.008
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0424 0.9661 0.000 0.992 0.008
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.4121 0.7640 0.000 0.168 0.832
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.9908 1.000 0.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.9709 0.000 1.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.9709 0.000 1.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.9908 1.000 0.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 3 0.6252 0.3729 0.000 0.444 0.556
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.9709 0.000 1.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.0000 0.8050 0.000 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.9709 0.000 1.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.9908 1.000 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.9709 0.000 1.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0237 0.9686 0.000 0.996 0.004
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.9709 0.000 1.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.0000 0.8050 0.000 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.9908 1.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.6308 -0.0105 0.508 0.000 0.492
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.5058 0.6393 0.000 0.756 0.244
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.4121 0.7640 0.000 0.168 0.832
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0892 0.9576 0.000 0.980 0.020
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.9908 1.000 0.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.9908 1.000 0.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.9709 0.000 1.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.9908 1.000 0.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.9709 0.000 1.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.9709 0.000 1.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.9908 1.000 0.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.9908 1.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.9709 0.000 1.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.9908 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.9709 0.000 1.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 0.9908 1.000 0.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.8050 0.000 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.1529 0.9414 0.000 0.960 0.040
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.9709 0.000 1.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 3 0.4178 0.7432 0.172 0.000 0.828
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.9908 1.000 0.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.7478 0.6312 0.060 0.308 0.632
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0424 0.9661 0.000 0.992 0.008
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.9908 1.000 0.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.9908 1.000 0.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0892 0.9583 0.000 0.980 0.020
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 3 0.4931 0.7198 0.000 0.232 0.768
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.9908 1.000 0.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.5968 0.5764 0.000 0.364 0.636
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.9908 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.3219 0.88878 0.000 0.836 0.000 0.164
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.89147 0.000 1.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.89147 0.000 1.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.4454 0.86977 0.000 0.000 0.692 0.308
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4155 0.66269 0.000 0.756 0.240 0.004
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.4977 -0.55980 0.540 0.000 0.000 0.460
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0336 0.89265 0.000 0.992 0.000 0.008
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.5475 0.85609 0.000 0.036 0.656 0.308
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.5557 0.85420 0.000 0.040 0.652 0.308
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.1792 0.18368 0.932 0.000 0.000 0.068
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.2704 0.89253 0.000 0.876 0.000 0.124
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.89147 0.000 1.000 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 3 0.4735 0.73483 0.148 0.000 0.784 0.068
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.6805 0.26472 0.000 0.592 0.260 0.148
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.5295 -0.04417 0.488 0.000 0.504 0.008
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4382 -0.26615 0.704 0.000 0.000 0.296
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.1022 0.19525 0.968 0.000 0.032 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.1629 0.87113 0.000 0.952 0.024 0.024
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0469 0.88818 0.000 0.988 0.012 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.1474 0.19380 0.948 0.000 0.000 0.052
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.4454 0.86977 0.000 0.000 0.692 0.308
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.4454 0.86977 0.000 0.000 0.692 0.308
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.1824 0.85701 0.000 0.936 0.060 0.004
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.89147 0.000 1.000 0.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0336 0.88959 0.000 0.992 0.008 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.4972 -0.53878 0.544 0.000 0.000 0.456
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 3 0.4083 0.78577 0.100 0.000 0.832 0.068
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.1151 0.87992 0.000 0.968 0.024 0.008
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.4454 0.86977 0.000 0.000 0.692 0.308
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.4454 0.86977 0.000 0.000 0.692 0.308
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.89147 0.000 1.000 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.3123 0.10166 0.844 0.000 0.000 0.156
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0469 0.88818 0.000 0.988 0.012 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0657 0.88708 0.000 0.984 0.012 0.004
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 3 0.1978 0.82262 0.004 0.000 0.928 0.068
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.4855 -0.55802 0.600 0.000 0.000 0.400
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0707 0.89389 0.000 0.980 0.000 0.020
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.3311 0.08009 0.828 0.000 0.000 0.172
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0707 0.88510 0.000 0.980 0.020 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 3 0.0707 0.83532 0.000 0.000 0.980 0.020
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.4967 -0.50482 0.548 0.000 0.000 0.452
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0469 0.88818 0.000 0.988 0.012 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.0336 0.83717 0.000 0.000 0.992 0.008
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.4454 0.86977 0.000 0.000 0.692 0.308
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0817 0.88343 0.000 0.976 0.024 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.1576 0.82527 0.000 0.048 0.948 0.004
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.89147 0.000 1.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0469 0.88818 0.000 0.988 0.012 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0188 0.89066 0.000 0.996 0.004 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0188 0.89066 0.000 0.996 0.004 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0336 0.88959 0.000 0.992 0.008 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0188 0.89105 0.000 0.996 0.000 0.004
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.89147 0.000 1.000 0.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.3937 0.86323 0.012 0.000 0.800 0.188
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.1305 0.87428 0.000 0.960 0.036 0.004
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0469 0.88818 0.000 0.988 0.012 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 3 0.5687 0.57715 0.248 0.000 0.684 0.068
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.2342 0.81701 0.080 0.000 0.912 0.008
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.4817 -0.53522 0.612 0.000 0.000 0.388
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> D005833F-E991-4E9E-9667-55F137288004 4 0.5294 0.95993 0.484 0.000 0.008 0.508
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.4999 0.93129 0.492 0.000 0.000 0.508
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.7745 -0.38282 0.000 0.396 0.372 0.232
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.4454 0.86977 0.000 0.000 0.692 0.308
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0336 0.88959 0.000 0.992 0.008 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.1474 0.86698 0.000 0.948 0.052 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0817 0.20813 0.976 0.000 0.000 0.024
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0336 0.88959 0.000 0.992 0.008 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.3801 -0.01102 0.780 0.000 0.000 0.220
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0707 0.88519 0.000 0.980 0.020 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0336 0.21457 0.992 0.000 0.000 0.008
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.5406 0.94754 0.480 0.000 0.012 0.508
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.1716 0.89477 0.000 0.936 0.000 0.064
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.89147 0.000 1.000 0.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 3 0.6221 0.65586 0.000 0.256 0.644 0.100
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.3852 0.05483 0.800 0.000 0.008 0.192
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.3219 0.88878 0.000 0.836 0.000 0.164
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.4022 0.75932 0.000 0.836 0.068 0.096
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.4454 0.86977 0.000 0.000 0.692 0.308
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.4972 -0.53878 0.544 0.000 0.000 0.456
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.2345 0.89389 0.000 0.900 0.000 0.100
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.3311 0.88714 0.000 0.828 0.000 0.172
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.4454 0.86977 0.000 0.000 0.692 0.308
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 3 0.5007 0.70309 0.172 0.000 0.760 0.068
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.4372 0.61665 0.000 0.728 0.268 0.004
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.3335 0.85197 0.000 0.020 0.860 0.120
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0336 0.88959 0.000 0.992 0.008 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.89147 0.000 1.000 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0817 0.89422 0.000 0.976 0.000 0.024
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.21719 1.000 0.000 0.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.2814 0.89206 0.000 0.868 0.000 0.132
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.4454 0.86977 0.000 0.000 0.692 0.308
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0188 0.89105 0.000 0.996 0.000 0.004
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.3266 0.88839 0.000 0.832 0.000 0.168
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 3 0.1978 0.82262 0.004 0.000 0.928 0.068
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.5463 -0.00912 0.692 0.052 0.256 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.89147 0.000 1.000 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.1854 0.87073 0.000 0.940 0.048 0.012
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.5416 0.63351 0.000 0.740 0.148 0.112
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.4967 -0.48295 0.548 0.000 0.000 0.452
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0921 0.88163 0.000 0.972 0.028 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.4961 -0.47335 0.552 0.000 0.000 0.448
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.4015 0.7250 0.000 0.652 0.000 0.348 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.8487 1.000 0.000 0.000 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.7052 0.000 1.000 0.000 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1908 0.7679 0.908 0.000 0.000 0.000 0.092
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.7052 0.000 1.000 0.000 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.2179 0.7422 0.888 0.000 0.000 0.000 0.112
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.4045 0.7246 0.000 0.644 0.000 0.356 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.0000 0.7545 0.000 0.000 1.000 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.4964 0.3422 0.000 0.692 0.244 0.008 0.056
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.2732 0.8305 0.160 0.000 0.000 0.000 0.840
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.8487 1.000 0.000 0.000 0.000 0.000
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#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2074 0.7537 0.896 0.000 0.000 0.000 0.104
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.6545 0.6673 0.124 0.000 0.136 0.636 0.104
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.5176 0.2523 0.000 0.656 0.280 0.008 0.056
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 3 0.4741 0.6560 0.000 0.096 0.780 0.068 0.056
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.1965 0.6469 0.000 0.904 0.096 0.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0162 0.8479 0.996 0.000 0.000 0.000 0.004
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.3395 0.5417 0.764 0.000 0.000 0.000 0.236
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0162 0.7064 0.000 0.996 0.000 0.004 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 5 0.3684 0.8070 0.280 0.000 0.000 0.000 0.720
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.4045 0.7246 0.000 0.644 0.000 0.356 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.1121 0.7167 0.000 0.956 0.000 0.044 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 5 0.2732 0.8305 0.160 0.000 0.000 0.000 0.840
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0404 0.8430 0.988 0.000 0.000 0.000 0.012
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.4045 0.7246 0.000 0.644 0.000 0.356 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0162 0.8479 0.996 0.000 0.000 0.000 0.004
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.1732 0.7219 0.000 0.920 0.000 0.080 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.4201 0.6124 0.752 0.000 0.000 0.204 0.044
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.0000 0.7545 0.000 0.000 1.000 0.000 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0671 0.6978 0.000 0.980 0.016 0.000 0.004
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.4045 0.7246 0.000 0.644 0.000 0.356 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.5671 0.6660 0.008 0.000 0.264 0.628 0.100
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0162 0.8472 0.996 0.000 0.000 0.000 0.004
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.7111 0.3426 0.104 0.108 0.236 0.000 0.552
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.1544 0.6679 0.000 0.932 0.068 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0162 0.8472 0.996 0.000 0.000 0.000 0.004
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0290 0.8458 0.992 0.000 0.000 0.000 0.008
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.2124 0.7224 0.000 0.900 0.000 0.096 0.004
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 3 0.5637 0.4274 0.000 0.428 0.508 0.008 0.056
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0162 0.8472 0.996 0.000 0.000 0.000 0.004
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.4844 0.2755 0.000 0.668 0.280 0.000 0.052
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0290 0.8458 0.992 0.000 0.000 0.000 0.008
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.3586 0.4257 0.000 0.720 0.000 0.012 0.000 0.268
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.2144 0.8353 0.912 0.000 0.048 0.004 0.004 0.032
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 6 0.4274 0.5518 0.000 0.432 0.000 0.012 0.004 0.552
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0862 0.8633 0.972 0.000 0.000 0.008 0.016 0.004
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 6 0.4284 0.5364 0.000 0.440 0.000 0.012 0.004 0.544
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.1036 0.8613 0.964 0.000 0.000 0.008 0.024 0.004
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 3 0.1349 0.8145 0.000 0.000 0.940 0.004 0.000 0.056
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 6 0.2118 0.7049 0.000 0.104 0.008 0.000 0.000 0.888
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.1674 0.7034 0.068 0.000 0.000 0.004 0.924 0.004
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0146 0.8654 0.996 0.000 0.000 0.000 0.004 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.5335 0.3327 0.588 0.000 0.048 0.328 0.004 0.032
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.3912 0.1901 0.000 0.648 0.000 0.012 0.000 0.340
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 3 0.2941 0.7519 0.000 0.000 0.780 0.000 0.000 0.220
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 3 0.2912 0.7557 0.000 0.000 0.784 0.000 0.000 0.216
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.3152 0.6923 0.792 0.000 0.000 0.008 0.196 0.004
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0146 0.8857 0.000 0.996 0.000 0.000 0.000 0.004
#> 825E6C11-F460-451A-8045-846DD7D0E945 5 0.1444 0.7069 0.072 0.000 0.000 0.000 0.928 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.4076 -0.0412 0.000 0.592 0.000 0.012 0.000 0.396
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 6 0.4385 0.5333 0.000 0.440 0.000 0.012 0.008 0.540
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0547 0.6051 0.000 0.000 0.020 0.980 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 6 0.2331 0.6043 0.000 0.032 0.080 0.000 0.000 0.888
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 5 0.3547 0.7117 0.300 0.000 0.000 0.000 0.696 0.004
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0405 0.8650 0.988 0.000 0.008 0.000 0.004 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0291 0.8658 0.992 0.000 0.000 0.000 0.004 0.004
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 4 0.6236 0.3841 0.112 0.000 0.040 0.576 0.252 0.020
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.6380 0.4331 0.600 0.000 0.044 0.172 0.152 0.032
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 5 0.3795 0.6215 0.364 0.000 0.000 0.000 0.632 0.004
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 5 0.1531 0.7038 0.068 0.000 0.000 0.004 0.928 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 6 0.2003 0.7161 0.000 0.116 0.000 0.000 0.000 0.884
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.1082 0.8573 0.956 0.000 0.040 0.000 0.004 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 6 0.2402 0.7269 0.000 0.140 0.004 0.000 0.000 0.856
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.3152 0.6924 0.792 0.000 0.000 0.008 0.196 0.004
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.3807 0.2461 0.628 0.000 0.000 0.000 0.368 0.004
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0520 0.8645 0.984 0.000 0.000 0.008 0.008 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0260 0.8834 0.000 0.992 0.000 0.000 0.000 0.008
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0146 0.8654 0.996 0.000 0.000 0.000 0.004 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.2240 0.8316 0.908 0.000 0.044 0.016 0.000 0.032
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0146 0.8654 0.996 0.000 0.000 0.000 0.004 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.2402 0.8074 0.000 0.000 0.856 0.004 0.000 0.140
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.2762 0.7840 0.000 0.000 0.804 0.000 0.000 0.196
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.1924 0.8405 0.920 0.000 0.048 0.000 0.004 0.028
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0146 0.8654 0.996 0.000 0.000 0.000 0.004 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 6 0.2278 0.7204 0.000 0.128 0.004 0.000 0.000 0.868
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 6 0.4344 0.5823 0.000 0.412 0.000 0.012 0.008 0.568
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.3928 0.7113 0.792 0.000 0.048 0.128 0.000 0.032
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0146 0.8656 0.996 0.000 0.000 0.000 0.004 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.2256 0.8331 0.908 0.000 0.048 0.008 0.004 0.032
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0520 0.8645 0.984 0.000 0.000 0.008 0.008 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 5 0.3852 0.7285 0.256 0.000 0.008 0.016 0.720 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 6 0.2454 0.7339 0.000 0.160 0.000 0.000 0.000 0.840
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.6012 0.3529 0.320 0.000 0.016 0.540 0.104 0.020
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0632 0.6038 0.000 0.000 0.024 0.976 0.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 6 0.2511 0.6460 0.000 0.064 0.056 0.000 0.000 0.880
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.1462 0.8131 0.000 0.000 0.936 0.008 0.000 0.056
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.3600 0.7800 0.000 0.000 0.824 0.032 0.056 0.088
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 6 0.4184 0.4183 0.000 0.484 0.000 0.012 0.000 0.504
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.5285 0.3260 0.596 0.000 0.048 0.316 0.000 0.040
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.2871 0.6952 0.804 0.000 0.000 0.000 0.192 0.004
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0146 0.8654 0.996 0.000 0.000 0.000 0.004 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 6 0.4284 0.6170 0.000 0.384 0.000 0.012 0.008 0.596
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 6 0.2234 0.7197 0.000 0.124 0.004 0.000 0.000 0.872
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.1196 0.8463 0.000 0.952 0.000 0.008 0.000 0.040
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.1219 0.5938 0.000 0.000 0.048 0.948 0.000 0.004
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 5 0.3109 0.7206 0.224 0.000 0.000 0.000 0.772 0.004
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.4047 0.0134 0.000 0.604 0.000 0.012 0.000 0.384
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.3448 0.5313 0.716 0.000 0.000 0.000 0.280 0.004
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0520 0.8645 0.984 0.000 0.000 0.008 0.008 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 6 0.2511 0.6459 0.000 0.064 0.056 0.000 0.000 0.880
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0363 0.8799 0.000 0.988 0.000 0.000 0.000 0.012
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.3351 0.2794 0.000 0.000 0.288 0.712 0.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0146 0.8849 0.000 0.996 0.000 0.000 0.000 0.004
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.6214 0.1267 0.492 0.000 0.004 0.260 0.232 0.012
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0260 0.8834 0.000 0.992 0.000 0.000 0.000 0.008
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 6 0.1958 0.7019 0.000 0.100 0.004 0.000 0.000 0.896
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 5 0.1588 0.7066 0.072 0.000 0.000 0.000 0.924 0.004
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.1173 0.8632 0.960 0.000 0.008 0.000 0.016 0.016
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.1155 0.8570 0.956 0.000 0.036 0.000 0.004 0.004
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 3 0.5830 0.4951 0.000 0.000 0.464 0.336 0.000 0.200
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 5 0.3619 0.6907 0.316 0.000 0.000 0.000 0.680 0.004
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 5 0.3885 0.7027 0.300 0.000 0.004 0.012 0.684 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.3600 0.7800 0.000 0.000 0.824 0.032 0.056 0.088
#> 6D960AE7-3769-4144-A061-E8588E5063FF 5 0.3290 0.7373 0.252 0.000 0.000 0.000 0.744 0.004
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 6 0.2451 0.6373 0.000 0.056 0.060 0.000 0.000 0.884
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 3 0.5152 0.5032 0.000 0.000 0.468 0.084 0.000 0.448
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 6 0.4141 0.5521 0.000 0.432 0.000 0.012 0.000 0.556
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 6 0.4294 0.6140 0.000 0.388 0.000 0.012 0.008 0.592
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0820 0.8641 0.972 0.000 0.012 0.000 0.016 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.2662 0.7362 0.840 0.000 0.004 0.000 0.152 0.004
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.1349 0.8393 0.940 0.000 0.000 0.000 0.056 0.004
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.1605 0.8488 0.936 0.000 0.044 0.000 0.004 0.016
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0405 0.8650 0.988 0.000 0.008 0.000 0.004 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 6 0.4321 0.5997 0.000 0.400 0.000 0.012 0.008 0.580
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 6 0.4344 0.5852 0.000 0.412 0.000 0.012 0.008 0.568
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 5 0.3684 0.6715 0.332 0.000 0.000 0.000 0.664 0.004
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0520 0.8645 0.984 0.000 0.000 0.008 0.008 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 6 0.2003 0.7169 0.000 0.116 0.000 0.000 0.000 0.884
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0520 0.8645 0.984 0.000 0.000 0.008 0.008 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 6 0.3634 0.6832 0.000 0.296 0.000 0.008 0.000 0.696
#> 2C1F9079-602E-4252-82C7-9D8799E04246 6 0.4136 0.5614 0.000 0.428 0.000 0.012 0.000 0.560
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.6154 0.5632 0.000 0.000 0.588 0.208 0.116 0.088
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 6 0.2941 0.7181 0.000 0.220 0.000 0.000 0.000 0.780
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0146 0.8856 0.000 0.996 0.000 0.000 0.000 0.004
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 6 0.2631 0.7301 0.000 0.152 0.008 0.000 0.000 0.840
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.6028 0.5081 0.636 0.000 0.048 0.192 0.092 0.032
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0692 0.6120 0.020 0.000 0.004 0.976 0.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0520 0.8645 0.984 0.000 0.000 0.008 0.008 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 4 0.6542 0.3715 0.024 0.000 0.152 0.580 0.184 0.060
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 5 0.2772 0.7181 0.180 0.000 0.000 0.000 0.816 0.004
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0405 0.8654 0.988 0.000 0.000 0.004 0.008 0.000
#> D005833F-E991-4E9E-9667-55F137288004 4 0.5599 0.3399 0.368 0.000 0.048 0.532 0.000 0.052
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.5628 0.2958 0.384 0.000 0.048 0.516 0.000 0.052
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0520 0.8645 0.984 0.000 0.000 0.008 0.008 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 6 0.2909 0.5244 0.000 0.028 0.136 0.000 0.000 0.836
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.1349 0.8145 0.000 0.000 0.940 0.004 0.000 0.056
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 5 0.1588 0.7066 0.072 0.000 0.000 0.000 0.924 0.004
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 5 0.3405 0.7301 0.272 0.000 0.000 0.000 0.724 0.004
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0665 0.8638 0.980 0.000 0.000 0.008 0.008 0.004
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 6 0.4284 0.6176 0.000 0.384 0.000 0.012 0.008 0.596
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 6 0.4377 0.6263 0.000 0.368 0.004 0.012 0.008 0.608
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 5 0.1674 0.7034 0.068 0.000 0.000 0.004 0.924 0.004
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.4317 0.4650 0.676 0.000 0.008 0.024 0.288 0.004
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 6 0.2378 0.7321 0.000 0.152 0.000 0.000 0.000 0.848
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.1901 0.8297 0.912 0.000 0.000 0.008 0.076 0.004
#> 41183565-434D-474C-B1BD-CA6E94910658 6 0.3014 0.7126 0.000 0.132 0.036 0.000 0.000 0.832
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.2602 0.8222 0.892 0.000 0.052 0.020 0.004 0.032
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.1296 0.8540 0.948 0.000 0.044 0.000 0.004 0.004
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 5 0.3971 0.4028 0.448 0.000 0.000 0.000 0.548 0.004
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0405 0.8650 0.988 0.000 0.008 0.000 0.004 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0291 0.8657 0.992 0.000 0.000 0.004 0.004 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0260 0.8834 0.000 0.992 0.000 0.000 0.000 0.008
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.5590 0.3488 0.364 0.000 0.048 0.536 0.000 0.052
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.1672 0.8471 0.932 0.000 0.048 0.000 0.004 0.016
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 6 0.4157 0.5304 0.000 0.444 0.000 0.012 0.000 0.544
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 6 0.2912 0.6994 0.000 0.216 0.000 0.000 0.000 0.784
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 6 0.4372 -0.3344 0.000 0.024 0.432 0.000 0.000 0.544
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.6406 0.0216 0.444 0.000 0.008 0.320 0.216 0.012
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0713 0.8639 0.000 0.972 0.000 0.000 0.000 0.028
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0146 0.8849 0.000 0.996 0.000 0.000 0.000 0.004
#> DC5A2C9E-978F-4661-B729-1F9662976E27 5 0.1588 0.7066 0.072 0.000 0.000 0.000 0.924 0.004
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 6 0.2100 0.7115 0.000 0.112 0.004 0.000 0.000 0.884
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.1349 0.8145 0.000 0.000 0.940 0.004 0.000 0.056
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.5528 0.4395 0.616 0.000 0.008 0.260 0.096 0.020
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.4183 -0.3739 0.000 0.508 0.000 0.012 0.000 0.480
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.1714 0.7928 0.000 0.908 0.000 0.000 0.000 0.092
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.2912 0.7557 0.000 0.000 0.784 0.000 0.000 0.216
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.1194 0.8589 0.956 0.000 0.000 0.008 0.032 0.004
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0622 0.6086 0.008 0.000 0.012 0.980 0.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 6 0.2282 0.6872 0.000 0.088 0.024 0.000 0.000 0.888
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 6 0.4226 -0.5198 0.000 0.004 0.484 0.008 0.000 0.504
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 6 0.4303 0.6089 0.000 0.392 0.000 0.012 0.008 0.588
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0520 0.8645 0.984 0.000 0.000 0.008 0.008 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.3489 0.5119 0.708 0.000 0.000 0.000 0.288 0.004
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.4152 -0.2226 0.000 0.548 0.000 0.012 0.000 0.440
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 5 0.3198 0.7350 0.260 0.000 0.000 0.000 0.740 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.4037 0.0309 0.000 0.608 0.000 0.012 0.000 0.380
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 5 0.1531 0.7038 0.068 0.000 0.000 0.004 0.928 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0551 0.8650 0.984 0.000 0.000 0.008 0.004 0.004
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0520 0.8645 0.984 0.000 0.000 0.008 0.008 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.2446 0.7373 0.000 0.864 0.000 0.012 0.000 0.124
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.6626 0.1650 0.508 0.000 0.016 0.204 0.240 0.032
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.1267 0.8147 0.000 0.000 0.940 0.000 0.000 0.060
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 6 0.4249 0.5801 0.000 0.416 0.000 0.012 0.004 0.568
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.8878 0.000 1.000 0.000 0.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.1219 0.5938 0.000 0.000 0.048 0.948 0.000 0.004
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0291 0.8654 0.992 0.000 0.004 0.000 0.004 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.6780 -0.1759 0.052 0.000 0.264 0.004 0.464 0.216
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 6 0.4344 0.5854 0.000 0.412 0.000 0.012 0.008 0.568
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0405 0.8662 0.988 0.000 0.000 0.000 0.008 0.004
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.1007 0.8509 0.956 0.000 0.000 0.000 0.044 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 6 0.3967 0.6428 0.000 0.356 0.000 0.012 0.000 0.632
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 6 0.2255 0.6003 0.000 0.028 0.080 0.000 0.000 0.892
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0291 0.8654 0.992 0.000 0.004 0.000 0.004 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.3400 0.7082 0.000 0.132 0.044 0.000 0.008 0.816
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.0000 0.8658 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", "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 18133 rows and 198 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.995 0.998 0.5029 0.498 0.498
#> 3 3 0.677 0.638 0.805 0.2288 0.806 0.628
#> 4 4 0.676 0.646 0.831 0.1300 0.786 0.498
#> 5 5 0.629 0.619 0.811 0.0561 0.848 0.577
#> 6 6 0.671 0.635 0.812 0.0381 0.907 0.708
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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.0000 0.999 0.000 1.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.997 1.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.0000 0.999 0.000 1.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.997 1.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.0000 0.999 0.000 1.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.997 1.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0000 0.999 0.000 1.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0000 0.999 0.000 1.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 0.999 0.000 1.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.0000 0.997 1.000 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.0000 0.997 1.000 0.000
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 0.997 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0000 0.999 0.000 1.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0000 0.999 0.000 1.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.0000 0.999 0.000 1.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0000 0.997 1.000 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0000 0.999 0.000 1.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.0000 0.997 1.000 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.999 0.000 1.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.0000 0.999 0.000 1.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0000 0.997 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.0000 0.999 0.000 1.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.0000 0.997 1.000 0.000
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.0000 0.997 1.000 0.000
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.997 1.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.999 0.000 1.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.0000 0.997 1.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.0000 0.997 1.000 0.000
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.0000 0.997 1.000 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.0000 0.997 1.000 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.0000 0.999 0.000 1.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.0000 0.997 1.000 0.000
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.0000 0.999 0.000 1.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0000 0.997 1.000 0.000
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.0000 0.997 1.000 0.000
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.997 1.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.0000 0.999 0.000 1.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.999 0.000 1.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.997 1.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.997 1.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.0000 0.997 1.000 0.000
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0000 0.999 0.000 1.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.0000 0.999 0.000 1.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0000 0.999 0.000 1.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.0000 0.999 0.000 1.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.0000 0.997 1.000 0.000
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.0000 0.997 1.000 0.000
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.999 0.000 1.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.999 0.000 1.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.0000 0.999 0.000 1.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.997 1.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.997 1.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.997 1.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.997 1.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.0000 0.997 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.0000 0.999 0.000 1.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.997 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0000 0.997 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 0.999 0.000 1.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.0000 0.999 0.000 1.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.0000 0.997 1.000 0.000
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 2 0.1843 0.971 0.028 0.972
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0000 0.999 0.000 1.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.997 1.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0000 0.999 0.000 1.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.997 1.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0000 0.997 1.000 0.000
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0000 0.999 0.000 1.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.0000 0.999 0.000 1.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.999 0.000 1.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0000 0.999 0.000 1.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0000 0.997 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.0000 0.997 1.000 0.000
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.999 0.000 1.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.997 1.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.997 1.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.999 0.000 1.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.999 0.000 1.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.0000 0.997 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.999 0.000 1.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 0.997 1.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.999 0.000 1.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.999 0.000 1.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.0000 0.999 0.000 1.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.0000 0.997 1.000 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 0.997 1.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.997 1.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.5178 0.869 0.884 0.116
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.0000 0.997 1.000 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.997 1.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0000 0.997 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.7219 0.751 0.800 0.200
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.0000 0.997 1.000 0.000
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 0.999 0.000 1.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.0000 0.999 0.000 1.000
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0000 0.999 0.000 1.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.999 0.000 1.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.0000 0.999 0.000 1.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.0000 0.997 1.000 0.000
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.0000 0.997 1.000 0.000
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.0000 0.997 1.000 0.000
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.997 1.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.0000 0.997 1.000 0.000
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.0000 0.999 0.000 1.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0000 0.999 0.000 1.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.0000 0.999 0.000 1.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.999 0.000 1.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0000 0.997 1.000 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0000 0.997 1.000 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0000 0.999 0.000 1.000
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.997 1.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.999 0.000 1.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0000 0.999 0.000 1.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.0000 0.997 1.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.999 0.000 1.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.0000 0.999 0.000 1.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.0000 0.999 0.000 1.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0000 0.997 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0000 0.997 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0000 0.999 0.000 1.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.0000 0.997 1.000 0.000
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.0000 0.997 1.000 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.0000 0.997 1.000 0.000
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.997 1.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.997 1.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0000 0.997 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0000 0.997 1.000 0.000
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 0.999 0.000 1.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.0000 0.999 0.000 1.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0000 0.999 0.000 1.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0000 0.997 1.000 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.997 1.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0000 0.997 1.000 0.000
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.0000 0.999 0.000 1.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 2 0.0000 0.999 0.000 1.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.0000 0.997 1.000 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0000 0.999 0.000 1.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.997 1.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0000 0.999 0.000 1.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.997 1.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 2 0.0000 0.999 0.000 1.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.997 1.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.997 1.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.997 1.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.0000 0.997 1.000 0.000
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.997 1.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.999 0.000 1.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0000 0.999 0.000 1.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.997 1.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0000 0.999 0.000 1.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.0000 0.997 1.000 0.000
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.0000 0.999 0.000 1.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.999 0.000 1.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.0000 0.999 0.000 1.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.997 1.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0000 0.999 0.000 1.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.999 0.000 1.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0000 0.997 1.000 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.999 0.000 1.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.999 0.000 1.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.0000 0.999 0.000 1.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.999 0.000 1.000
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.997 1.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.999 0.000 1.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.999 0.000 1.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0000 0.999 0.000 1.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.0000 0.999 0.000 1.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.997 1.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 0.997 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.0000 0.999 0.000 1.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.3733 0.922 0.072 0.928
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.0000 0.999 0.000 1.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0000 0.997 1.000 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.0000 0.997 1.000 0.000
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0000 0.999 0.000 1.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.0000 0.997 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0000 0.999 0.000 1.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0000 0.999 0.000 1.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.0000 0.997 1.000 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.997 1.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.999 0.000 1.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.997 1.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.999 0.000 1.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0000 0.997 1.000 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.0000 0.999 0.000 1.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.999 0.000 1.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.999 0.000 1.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 0.997 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.0000 0.997 1.000 0.000
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.0938 0.985 0.988 0.012
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 2 0.0000 0.999 0.000 1.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.997 1.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.0000 0.997 1.000 0.000
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.999 0.000 1.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.999 0.000 1.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.0000 0.997 1.000 0.000
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 2 0.0000 0.999 0.000 1.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 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
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 3 0.4235 0.1681 0.000 0.176 0.824
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.0000 0.9242 1.000 0.000 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 3 0.5835 -0.2567 0.000 0.340 0.660
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.0000 0.9242 1.000 0.000 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 3 0.4796 0.0802 0.000 0.220 0.780
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.0000 0.9242 1.000 0.000 0.000
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.6079 0.8239 0.000 0.612 0.388
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.0000 0.5572 0.000 1.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.6045 0.8274 0.000 0.620 0.380
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 3 0.6062 0.2823 0.384 0.000 0.616
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.6267 0.1268 0.548 0.000 0.452
#> 755A5806-B054-449A-93DB-79909E6C93A1 1 0.0000 0.9242 1.000 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.6045 0.8274 0.000 0.620 0.380
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.0000 0.5572 0.000 1.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.0000 0.5572 0.000 1.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0237 0.9224 0.996 0.000 0.004
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.6079 0.8239 0.000 0.612 0.388
#> 825E6C11-F460-451A-8045-846DD7D0E945 3 0.6062 0.2823 0.384 0.000 0.616
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.6168 0.7995 0.000 0.588 0.412
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 3 0.5216 -0.0226 0.000 0.260 0.740
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 1 0.0000 0.9242 1.000 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.0000 0.5572 0.000 1.000 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.6026 0.3559 0.624 0.000 0.376
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.2959 0.8397 0.900 0.000 0.100
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.0000 0.9242 1.000 0.000 0.000
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.6062 0.8261 0.000 0.616 0.384
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 1 0.4654 0.6885 0.792 0.208 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 1 0.3551 0.7997 0.868 0.000 0.132
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 3 0.6062 0.2823 0.384 0.000 0.616
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 3 0.6062 0.2823 0.384 0.000 0.616
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.5591 0.7832 0.000 0.696 0.304
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.3686 0.7885 0.860 0.000 0.140
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.3752 0.6621 0.000 0.856 0.144
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.0237 0.9225 0.996 0.000 0.004
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 3 0.6302 0.0635 0.480 0.000 0.520
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0000 0.9242 1.000 0.000 0.000
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 3 0.5254 -0.0337 0.000 0.264 0.736
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.6045 0.8274 0.000 0.620 0.380
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.0000 0.9242 1.000 0.000 0.000
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.0000 0.9242 1.000 0.000 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.3816 0.7820 0.852 0.000 0.148
#> 253601DB-B78A-4566-9947-8C0270C0B163 3 0.5785 -0.2306 0.000 0.332 0.668
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 2 0.0237 0.5533 0.000 0.996 0.004
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 3 0.6291 -0.6025 0.000 0.468 0.532
#> 51061018-95AB-4278-886F-F69E4EBC47C0 2 0.0237 0.5533 0.000 0.996 0.004
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.1289 0.9033 0.968 0.000 0.032
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.6045 0.3319 0.620 0.000 0.380
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.6008 0.8248 0.000 0.628 0.372
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.6079 0.8239 0.000 0.612 0.388
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.6307 0.6827 0.000 0.512 0.488
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.0000 0.9242 1.000 0.000 0.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.0000 0.9242 1.000 0.000 0.000
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.0000 0.9242 1.000 0.000 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.0000 0.9242 1.000 0.000 0.000
#> C775B68F-9507-47E3-B507-B433AED79002 1 0.1765 0.8972 0.956 0.004 0.040
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.6045 0.8274 0.000 0.620 0.380
#> CE4B6285-4961-4767-91F0-5C7A8162E185 1 0.0000 0.9242 1.000 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 1 0.0000 0.9242 1.000 0.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 2 0.0000 0.5572 0.000 1.000 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 2 0.0237 0.5533 0.000 0.996 0.004
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.2165 0.8768 0.936 0.000 0.064
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 2 0.5024 0.2017 0.220 0.776 0.004
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.6062 0.8261 0.000 0.616 0.384
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.0000 0.9242 1.000 0.000 0.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.6079 0.8239 0.000 0.612 0.388
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.0000 0.9242 1.000 0.000 0.000
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.0592 0.9177 0.988 0.000 0.012
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.6062 0.8261 0.000 0.616 0.384
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 3 0.1411 0.3122 0.000 0.036 0.964
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.6045 0.8274 0.000 0.620 0.380
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.6045 0.8274 0.000 0.620 0.380
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 1 0.0000 0.9242 1.000 0.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 3 0.6062 0.2823 0.384 0.000 0.616
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.6045 0.8274 0.000 0.620 0.380
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.0000 0.9242 1.000 0.000 0.000
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.0000 0.9242 1.000 0.000 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 2 0.0000 0.5572 0.000 1.000 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.6079 0.8239 0.000 0.612 0.388
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 1 0.5529 0.5641 0.704 0.296 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.6045 0.8274 0.000 0.620 0.380
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 1 0.0000 0.9242 1.000 0.000 0.000
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.6045 0.8274 0.000 0.620 0.380
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.6045 0.8274 0.000 0.620 0.380
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.5760 0.7991 0.000 0.672 0.328
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 3 0.6062 0.2823 0.384 0.000 0.616
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 1 0.0000 0.9242 1.000 0.000 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 1 0.0000 0.9242 1.000 0.000 0.000
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 1 0.1950 0.8713 0.952 0.008 0.040
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 1 0.6235 0.2199 0.564 0.000 0.436
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 1 0.0000 0.9242 1.000 0.000 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.0237 0.9224 0.996 0.000 0.004
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 1 0.6314 0.4207 0.604 0.392 0.004
#> 6D960AE7-3769-4144-A061-E8588E5063FF 3 0.6111 0.2564 0.396 0.000 0.604
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 2 0.0000 0.5572 0.000 1.000 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.6204 0.7840 0.000 0.576 0.424
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 3 0.6062 -0.3861 0.000 0.384 0.616
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.6045 0.8274 0.000 0.620 0.380
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 3 0.4235 0.1681 0.000 0.176 0.824
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.5465 0.5484 0.712 0.000 0.288
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 3 0.6267 0.1393 0.452 0.000 0.548
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.5621 0.5007 0.692 0.000 0.308
#> F9DD688C-7B35-49E7-9651-2E098EE78856 1 0.0000 0.9242 1.000 0.000 0.000
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.2625 0.8554 0.916 0.000 0.084
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 3 0.5785 -0.2350 0.000 0.332 0.668
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.6309 0.6667 0.000 0.504 0.496
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 3 0.4002 0.1920 0.000 0.160 0.840
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.6215 0.7799 0.000 0.572 0.428
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0747 0.9165 0.984 0.000 0.016
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.0237 0.9225 0.996 0.000 0.004
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.6045 0.8274 0.000 0.620 0.380
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.0000 0.9242 1.000 0.000 0.000
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.6045 0.8274 0.000 0.620 0.380
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.6079 0.8239 0.000 0.612 0.388
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 1 0.6264 0.4384 0.616 0.380 0.004
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.6062 0.8261 0.000 0.616 0.384
#> B588950F-14D6-41C8-845B-EFD2096013C6 3 0.5363 -0.0691 0.000 0.276 0.724
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 2 0.6026 0.8265 0.000 0.624 0.376
#> 8EA83042-D598-401D-AD78-936EEB136C59 1 0.0000 0.9242 1.000 0.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 1 0.0000 0.9242 1.000 0.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 3 0.5785 -0.2306 0.000 0.332 0.668
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.2625 0.8595 0.916 0.000 0.084
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 1 0.0237 0.9218 0.996 0.000 0.004
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 3 0.6062 0.2823 0.384 0.000 0.616
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 1 0.0000 0.9242 1.000 0.000 0.000
#> D005833F-E991-4E9E-9667-55F137288004 1 0.0000 0.9242 1.000 0.000 0.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 1 0.0592 0.9176 0.988 0.000 0.012
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.0424 0.9204 0.992 0.000 0.008
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 2 0.0000 0.5572 0.000 1.000 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.0000 0.5572 0.000 1.000 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.6244 0.7629 0.000 0.560 0.440
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 3 0.6062 0.2823 0.384 0.000 0.616
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 3 0.6180 0.2170 0.416 0.000 0.584
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0237 0.9225 0.996 0.000 0.004
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.6062 0.8258 0.000 0.616 0.384
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 3 0.0237 0.3324 0.000 0.004 0.996
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 3 0.6062 0.2823 0.384 0.000 0.616
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 3 0.6126 -0.4317 0.000 0.400 0.600
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.0000 0.9242 1.000 0.000 0.000
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.6045 0.8274 0.000 0.620 0.380
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.0000 0.9242 1.000 0.000 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.6299 -0.6273 0.000 0.476 0.524
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 1 0.0000 0.9242 1.000 0.000 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 1 0.0000 0.9242 1.000 0.000 0.000
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.0000 0.9242 1.000 0.000 0.000
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.3116 0.8309 0.892 0.000 0.108
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.0000 0.9242 1.000 0.000 0.000
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.6045 0.8274 0.000 0.620 0.380
#> 64552DC0-181E-4607-898C-787AA7F26435 3 0.5733 -0.2072 0.000 0.324 0.676
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 1 0.0000 0.9242 1.000 0.000 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.6308 0.6748 0.000 0.508 0.492
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.4121 0.7505 0.832 0.000 0.168
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 3 0.4555 0.1230 0.000 0.200 0.800
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.6026 0.8263 0.000 0.624 0.376
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.4504 0.7026 0.000 0.804 0.196
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 1 0.0000 0.9242 1.000 0.000 0.000
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 3 0.5882 -0.2781 0.000 0.348 0.652
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.6045 0.8274 0.000 0.620 0.380
#> DC5A2C9E-978F-4661-B729-1F9662976E27 3 0.6062 0.2823 0.384 0.000 0.616
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.6008 0.8248 0.000 0.628 0.372
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.6111 0.8167 0.000 0.604 0.396
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 2 0.0237 0.5533 0.000 0.996 0.004
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.6079 0.8239 0.000 0.612 0.388
#> 577D2867-B738-487A-9B06-07958D647F02 1 0.0000 0.9242 1.000 0.000 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.6062 0.8261 0.000 0.616 0.384
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.6280 0.7313 0.000 0.540 0.460
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.6154 0.8041 0.000 0.592 0.408
#> 765AFFC1-D528-4494-8BA1-0706451E4205 2 0.0237 0.5533 0.000 0.996 0.004
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.0000 0.9242 1.000 0.000 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 1 0.0000 0.9242 1.000 0.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.6045 0.8274 0.000 0.620 0.380
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 2 0.4702 0.2319 0.212 0.788 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 3 0.5216 -0.0240 0.000 0.260 0.740
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.1643 0.8955 0.956 0.000 0.044
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.1643 0.8949 0.956 0.000 0.044
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.6062 0.8261 0.000 0.616 0.384
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 1 0.1163 0.9087 0.972 0.000 0.028
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.6225 0.7745 0.000 0.568 0.432
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.6062 0.8261 0.000 0.616 0.384
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 3 0.6079 0.2742 0.388 0.000 0.612
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.0000 0.9242 1.000 0.000 0.000
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.6045 0.8274 0.000 0.620 0.380
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.0000 0.9242 1.000 0.000 0.000
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.6045 0.8274 0.000 0.620 0.380
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 1 0.0592 0.9176 0.988 0.000 0.012
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.0237 0.5533 0.000 0.996 0.004
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.6079 0.8239 0.000 0.612 0.388
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.6045 0.8274 0.000 0.620 0.380
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 1 0.0000 0.9242 1.000 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 3 0.6111 0.2613 0.396 0.000 0.604
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 3 0.5859 0.3246 0.344 0.000 0.656
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 3 0.3551 0.2257 0.000 0.132 0.868
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.0000 0.9242 1.000 0.000 0.000
#> C29A10D6-D598-4286-B5E0-F1776E19E988 3 0.6280 0.1161 0.460 0.000 0.540
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.6045 0.8274 0.000 0.620 0.380
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.5138 0.7450 0.000 0.748 0.252
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 3 0.6111 0.2613 0.396 0.000 0.604
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 3 0.3879 0.2025 0.000 0.152 0.848
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 3 0.6299 0.0758 0.476 0.000 0.524
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.5000 0.03491 0.500 0.500 0.000 0.000
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.0188 0.69732 0.000 0.000 0.004 0.996
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.2704 0.79302 0.124 0.876 0.000 0.000
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 4 0.4713 0.68528 0.000 0.000 0.360 0.640
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.4972 0.17829 0.456 0.544 0.000 0.000
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 4 0.4679 0.69066 0.000 0.000 0.352 0.648
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.4713 0.44300 0.360 0.640 0.000 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.4713 0.76368 0.640 0.000 0.360 0.000
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.7139 0.69798 0.500 0.000 0.360 0.140
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.4713 0.44300 0.360 0.640 0.000 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.4713 0.44300 0.360 0.640 0.000 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.7253 0.67983 0.484 0.000 0.364 0.152
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.4713 0.76368 0.640 0.000 0.360 0.000
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.4830 0.34670 0.392 0.608 0.000 0.000
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.4697 0.45040 0.356 0.644 0.000 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.6714 0.73635 0.540 0.000 0.360 0.100
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 4 0.4713 0.68528 0.000 0.000 0.360 0.640
#> D9514D49-A0AE-45AB-8C9F-68E726215253 4 0.4713 0.68528 0.000 0.000 0.360 0.640
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.6189 0.57738 0.268 0.000 0.640 0.092
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 4 0.3942 0.72360 0.000 0.000 0.236 0.764
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 1 0.4776 0.75992 0.624 0.000 0.376 0.000
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 1 0.4713 0.76368 0.640 0.000 0.360 0.000
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.2149 0.82597 0.088 0.912 0.000 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 4 0.4713 0.68528 0.000 0.000 0.360 0.640
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 3 0.7558 0.53426 0.360 0.196 0.444 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.7558 0.60785 0.444 0.000 0.360 0.196
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.6809 0.73141 0.532 0.000 0.360 0.108
#> 69635D23-90A7-4BAD-97C7-B79536837F57 4 0.7101 0.44416 0.136 0.000 0.360 0.504
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.1389 0.86655 0.048 0.952 0.000 0.000
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 4 0.4643 0.69509 0.000 0.000 0.344 0.656
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.1302 0.70729 0.000 0.000 0.044 0.956
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 3 0.7908 -0.50992 0.336 0.000 0.360 0.304
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.0469 0.89458 0.012 0.988 0.000 0.000
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.4713 0.59890 0.360 0.000 0.640 0.000
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.4713 0.59890 0.360 0.000 0.640 0.000
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 4 0.4585 0.70104 0.000 0.000 0.332 0.668
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.7558 0.60798 0.444 0.000 0.360 0.196
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.4697 0.42910 0.356 0.644 0.000 0.000
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 4 0.5543 0.65173 0.028 0.000 0.360 0.612
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.0336 0.69868 0.000 0.000 0.008 0.992
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 4 0.4713 0.68528 0.000 0.000 0.360 0.640
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.0000 0.28045 0.000 0.000 1.000 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.2593 0.81394 0.004 0.892 0.104 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.7698 0.49969 0.356 0.224 0.420 0.000
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.4713 0.59890 0.360 0.000 0.640 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 4 0.6898 0.49428 0.116 0.000 0.360 0.524
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.4713 0.59890 0.360 0.000 0.640 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 4 0.6337 0.58315 0.072 0.000 0.360 0.568
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 4 0.5452 0.65708 0.024 0.000 0.360 0.616
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 1 0.4843 0.21537 0.604 0.396 0.000 0.000
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.4889 0.76465 0.636 0.000 0.360 0.004
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 4 0.4522 0.70571 0.000 0.000 0.320 0.680
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 4 0.4713 0.68528 0.000 0.000 0.360 0.640
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.6898 0.59128 0.360 0.116 0.524 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.0592 0.70086 0.000 0.000 0.016 0.984
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.5791 0.48614 0.284 0.656 0.060 0.000
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.4713 0.76368 0.640 0.000 0.360 0.000
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.3942 0.72382 0.000 0.000 0.236 0.764
#> 83B88608-0506-428C-B9E8-621F38477B42 4 0.4164 0.72018 0.000 0.000 0.264 0.736
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0469 0.69017 0.000 0.012 0.000 0.988
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 3 0.4898 -0.59395 0.416 0.000 0.584 0.000
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 4 0.4382 0.71334 0.000 0.000 0.296 0.704
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 3 0.0000 0.28045 0.000 0.000 1.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.4713 0.59890 0.360 0.000 0.640 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.4920 0.76376 0.628 0.000 0.368 0.004
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.6714 0.59451 0.360 0.100 0.540 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 2 0.0336 0.89449 0.000 0.992 0.000 0.008
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.0336 0.89715 0.008 0.992 0.000 0.000
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.4972 0.17677 0.456 0.544 0.000 0.000
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 4 0.7063 0.46069 0.132 0.000 0.360 0.508
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.6396 0.74803 0.564 0.000 0.360 0.076
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.7796 0.48034 0.392 0.000 0.360 0.248
#> F9DD688C-7B35-49E7-9651-2E098EE78856 4 0.3610 0.72477 0.000 0.000 0.200 0.800
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 4 0.4713 0.68528 0.000 0.000 0.360 0.640
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.5000 0.04830 0.496 0.504 0.000 0.000
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 1 0.4994 -0.00711 0.520 0.480 0.000 0.000
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.6499 0.73542 0.524 0.000 0.400 0.076
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 4 0.7665 0.17673 0.216 0.000 0.360 0.424
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.0895 0.88479 0.020 0.976 0.004 0.000
#> 0099098D-354A-4276-92F8-B932C74B4608 4 0.4713 0.68528 0.000 0.000 0.360 0.640
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.0336 0.89715 0.008 0.992 0.000 0.000
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.4713 0.59890 0.360 0.000 0.640 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.2647 0.79817 0.120 0.880 0.000 0.000
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.6941 0.59008 0.360 0.120 0.520 0.000
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.0336 0.89715 0.008 0.992 0.000 0.000
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.7429 0.64426 0.464 0.000 0.360 0.176
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.6400 0.56971 0.252 0.000 0.632 0.116
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 1 0.4889 0.76465 0.636 0.000 0.360 0.004
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 4 0.4250 0.71791 0.000 0.000 0.276 0.724
#> D005833F-E991-4E9E-9667-55F137288004 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 4 0.6562 0.55376 0.088 0.000 0.360 0.552
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.7806 0.45795 0.356 0.252 0.392 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 2 0.5253 0.41354 0.360 0.624 0.016 0.000
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.4713 0.76368 0.640 0.000 0.360 0.000
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.5040 0.76515 0.628 0.000 0.364 0.008
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 3 0.7910 -0.46929 0.308 0.000 0.360 0.332
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.4961 0.19958 0.448 0.552 0.000 0.000
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 1 0.6508 0.54513 0.640 0.168 0.192 0.000
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.4713 0.76368 0.640 0.000 0.360 0.000
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 3 0.2469 0.23588 0.000 0.000 0.892 0.108
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.7586 0.59668 0.436 0.000 0.364 0.200
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.7591 0.18607 0.208 0.340 0.452 0.000
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 4 0.4406 0.71228 0.000 0.000 0.300 0.700
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 3 0.7429 -0.35306 0.196 0.000 0.496 0.308
#> A330E011-CE08-4A85-8F4B-370592293DBB 4 0.4713 0.68528 0.000 0.000 0.360 0.640
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 4 0.4889 0.68126 0.004 0.000 0.360 0.636
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.0336 0.89715 0.008 0.992 0.000 0.000
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 4 0.4679 0.69066 0.000 0.000 0.352 0.648
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.2216 0.82606 0.092 0.908 0.000 0.000
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 4 0.4699 0.51120 0.004 0.000 0.320 0.676
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.0336 0.89715 0.008 0.992 0.000 0.000
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.4713 0.76368 0.640 0.000 0.360 0.000
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.7768 0.47912 0.360 0.240 0.400 0.000
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.6941 0.59008 0.360 0.120 0.520 0.000
#> A716BC29-161F-4CA0-B240-00B330137F2C 4 0.5143 0.67211 0.012 0.000 0.360 0.628
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.4713 0.18435 0.000 0.360 0.000 0.640
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 1 0.4994 -0.00711 0.520 0.480 0.000 0.000
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 3 0.7896 -0.44745 0.292 0.000 0.360 0.348
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 4 0.6714 0.52953 0.100 0.000 0.360 0.540
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 3 0.0000 0.28045 0.000 0.000 1.000 0.000
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.0188 0.89893 0.004 0.996 0.000 0.000
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 3 0.4948 -0.60603 0.440 0.000 0.560 0.000
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 4 0.6983 0.47463 0.124 0.000 0.360 0.516
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 4 0.4605 0.69918 0.000 0.000 0.336 0.664
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 2 0.7820 -0.21339 0.360 0.384 0.256 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.69584 0.000 0.000 0.000 1.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.5253 0.76517 0.624 0.000 0.360 0.016
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.4746 0.76235 0.632 0.000 0.368 0.000
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 1 0.4994 -0.00711 0.520 0.480 0.000 0.000
#> 26311920-1414-4EC1-870B-784961EBCC2D 4 0.3172 0.72419 0.000 0.000 0.160 0.840
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.5869 0.75924 0.596 0.000 0.360 0.044
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0000 0.89939 0.000 1.000 0.000 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.5253 0.76517 0.624 0.000 0.360 0.016
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 1 0.6634 0.38348 0.580 0.312 0.108 0.000
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.6898 0.72557 0.524 0.000 0.360 0.116
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.4262 0.4130 0.000 0.560 0.000 0.000 0.440
#> 18B45F1F-234F-45CC-A234-145307606C5C 4 0.3395 0.6576 0.236 0.000 0.000 0.764 0.000
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.3177 0.7582 0.000 0.792 0.000 0.000 0.208
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.2179 0.7345 0.888 0.000 0.000 0.112 0.000
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.3424 0.7322 0.000 0.760 0.000 0.000 0.240
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.3209 0.6924 0.848 0.000 0.004 0.120 0.028
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.1792 0.8314 0.000 0.916 0.000 0.000 0.084
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.6638 -0.2494 0.000 0.436 0.328 0.000 0.236
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.0794 0.8323 0.000 0.972 0.000 0.000 0.028
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 1 0.3789 0.4117 0.768 0.020 0.000 0.000 0.212
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.3863 0.6678 0.796 0.000 0.000 0.052 0.152
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.7249 0.000 0.000 0.000 1.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.0162 0.8379 0.000 0.996 0.000 0.000 0.004
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.6387 0.0113 0.000 0.516 0.248 0.000 0.236
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.6586 -0.1784 0.000 0.460 0.304 0.000 0.236
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.0290 0.7199 0.992 0.000 0.000 0.008 0.000
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.2074 0.8246 0.000 0.896 0.000 0.000 0.104
#> 825E6C11-F460-451A-8045-846DD7D0E945 1 0.2763 0.5532 0.848 0.004 0.000 0.000 0.148
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.1608 0.8339 0.000 0.928 0.000 0.000 0.072
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.3534 0.7164 0.000 0.744 0.000 0.000 0.256
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.7249 0.000 0.000 0.000 1.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.5927 0.2629 0.000 0.592 0.172 0.000 0.236
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.1478 0.6852 0.936 0.000 0.000 0.000 0.064
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.4338 0.5785 0.696 0.000 0.000 0.280 0.024
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.3318 0.7010 0.800 0.000 0.000 0.192 0.008
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.0703 0.8335 0.000 0.976 0.000 0.000 0.024
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.0000 0.7162 0.000 0.000 1.000 0.000 0.000
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 5 0.6408 0.0814 0.172 0.000 0.000 0.388 0.440
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 5 0.4449 -0.0390 0.484 0.000 0.004 0.000 0.512
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 5 0.4905 0.0770 0.476 0.024 0.000 0.000 0.500
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.2966 0.6960 0.000 0.816 0.000 0.000 0.184
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.6432 0.2064 0.484 0.000 0.000 0.196 0.320
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.3861 0.6220 0.008 0.728 0.264 0.000 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.1764 0.6916 0.928 0.000 0.000 0.008 0.064
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.1168 0.7186 0.960 0.000 0.000 0.008 0.032
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.1830 0.7360 0.924 0.000 0.000 0.068 0.008
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.3636 0.6995 0.000 0.728 0.000 0.000 0.272
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0794 0.8323 0.000 0.972 0.000 0.000 0.028
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.4029 0.5442 0.680 0.000 0.000 0.316 0.004
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 4 0.3424 0.6510 0.240 0.000 0.000 0.760 0.000
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.3656 0.7117 0.800 0.000 0.000 0.168 0.032
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.2648 0.8044 0.000 0.848 0.000 0.000 0.152
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0162 0.7164 0.000 0.000 0.996 0.000 0.004
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.2127 0.8238 0.000 0.892 0.000 0.000 0.108
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.0162 0.7164 0.000 0.000 0.996 0.000 0.004
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.6294 0.0245 0.444 0.000 0.000 0.152 0.404
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.4501 0.6828 0.756 0.000 0.000 0.116 0.128
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0880 0.8308 0.000 0.968 0.000 0.000 0.032
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0794 0.8323 0.000 0.972 0.000 0.000 0.028
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 2 0.3983 0.5995 0.000 0.660 0.000 0.000 0.340
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 4 0.3809 0.6329 0.256 0.000 0.000 0.736 0.008
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.4429 0.6681 0.744 0.000 0.000 0.192 0.064
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 4 0.3561 0.6301 0.260 0.000 0.000 0.740 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.3209 0.7073 0.812 0.000 0.000 0.180 0.008
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.4808 0.2201 0.400 0.000 0.576 0.000 0.024
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.2020 0.8084 0.000 0.900 0.100 0.000 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.7249 0.000 0.000 0.000 1.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.7249 0.000 0.000 0.000 1.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.3741 0.5751 0.000 0.264 0.732 0.000 0.004
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.3109 0.6683 0.000 0.000 0.800 0.000 0.200
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.3141 0.7197 0.832 0.000 0.000 0.152 0.016
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.7162 0.000 0.000 1.000 0.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.2074 0.8243 0.000 0.896 0.000 0.000 0.104
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 4 0.3885 0.6177 0.268 0.000 0.000 0.724 0.008
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0609 0.8389 0.000 0.980 0.000 0.000 0.020
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.1579 0.7107 0.944 0.000 0.000 0.024 0.032
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.4114 0.6384 0.732 0.000 0.000 0.244 0.024
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.1608 0.8337 0.000 0.928 0.000 0.000 0.072
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 2 0.6581 0.1740 0.252 0.468 0.000 0.000 0.280
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0794 0.8323 0.000 0.972 0.000 0.000 0.028
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.1671 0.8335 0.000 0.924 0.000 0.000 0.076
#> 72D3C323-C67F-4C0E-9BFC-BF245FF9730A 4 0.0000 0.7249 0.000 0.000 0.000 1.000 0.000
#> 82D56E4E-4DF6-4F3E-8959-B995C92AAA70 1 0.4235 0.1847 0.576 0.000 0.000 0.000 0.424
#> E31CA441-EB19-443B-ACBD-37B5CCBCF0E5 2 0.0510 0.8388 0.000 0.984 0.000 0.000 0.016
#> 87CA8939-D054-4B8A-B32D-085FD2E8F202 1 0.3835 0.6350 0.732 0.000 0.000 0.260 0.008
#> 2A508D90-FEDC-46A3-9A02-E51E5467CDCB 1 0.2891 0.7128 0.824 0.000 0.000 0.176 0.000
#> C4E8B4E2-388B-411F-BF0A-9B6F34E8EDB5 3 0.1341 0.7125 0.000 0.056 0.944 0.000 0.000
#> AF6AF803-BD93-44A7-AA80-B9BC92C1273B 2 0.0794 0.8323 0.000 0.972 0.000 0.000 0.028
#> 0B1CA5CF-EB96-41D4-BFC5-6957FEB39828 4 0.0000 0.7249 0.000 0.000 0.000 1.000 0.000
#> 6FB96FB0-6661-48AD-A4A0-69F8AFDBE591 2 0.0794 0.8323 0.000 0.972 0.000 0.000 0.028
#> 8C19F7FD-368A-462B-B28F-88D6630038A1 4 0.2017 0.7132 0.080 0.000 0.000 0.912 0.008
#> 96EABE78-C2F4-4A33-ACD8-C922A4B2519B 2 0.0794 0.8323 0.000 0.972 0.000 0.000 0.028
#> 68B36D7B-546A-4689-949F-B207C4A4AB27 2 0.0703 0.8334 0.000 0.976 0.000 0.000 0.024
#> CE9F3335-778F-4F52-BC55-4B7C99B211DD 2 0.5107 0.4694 0.000 0.688 0.204 0.000 0.108
#> CB359DED-2A2D-4646-A0BD-6F10ADCC532B 1 0.1608 0.7055 0.928 0.000 0.000 0.000 0.072
#> 198324A5-8C52-46F6-9734-EFAF1CCA6D9B 4 0.3837 0.4279 0.308 0.000 0.000 0.692 0.000
#> 83B88608-0506-428C-B9E8-621F38477B42 4 0.4549 0.1423 0.464 0.000 0.000 0.528 0.008
#> 1993630A-0F3D-4F5C-86A3-D443BAAF57F0 4 0.0000 0.7249 0.000 0.000 0.000 1.000 0.000
#> DE73DA9B-529E-4F4F-A65C-DA7AB84B1096 5 0.6691 0.2017 0.360 0.000 0.240 0.000 0.400
#> 2347F3B7-DDA3-40C0-B6D4-8819ECA69146 4 0.4307 0.0251 0.500 0.000 0.000 0.500 0.000
#> AB93B5D5-095F-4330-9D40-6A3D934AB50C 1 0.4171 0.3548 0.604 0.000 0.396 0.000 0.000
#> 5EBBE4AD-FF0C-41CF-9EA3-B6FE7EA1F9C0 3 0.0000 0.7162 0.000 0.000 1.000 0.000 0.000
#> 6D960AE7-3769-4144-A061-E8588E5063FF 1 0.1121 0.6989 0.956 0.000 0.000 0.000 0.044
#> 0C2DD8C0-D1A5-4192-A49C-7A40FED628B2 3 0.0880 0.7168 0.000 0.032 0.968 0.000 0.000
#> 18C9372F-C55B-4F86-A9D2-E8D85EFC8566 5 0.6708 0.1943 0.000 0.376 0.000 0.244 0.380
#> 9AF637B0-4C32-4DD1-93AF-7655B4A845D3 2 0.2929 0.7848 0.000 0.820 0.000 0.000 0.180
#> 785B5B06-4115-46FD-9BEB-F888AFDC855D 2 0.0404 0.8385 0.000 0.988 0.000 0.000 0.012
#> ECA3050E-4BE2-4117-B9CF-A52BB85AF8C2 2 0.3452 0.7299 0.000 0.756 0.000 0.000 0.244
#> 099DC396-16A5-458F-9ED9-F2A790CB0C34 1 0.5153 0.1052 0.524 0.000 0.000 0.040 0.436
#> 7A5A12EE-C5B0-4C51-8C99-0F3FA88D633E 1 0.4921 0.3070 0.604 0.000 0.000 0.036 0.360
#> E832B508-A66D-4817-B44A-FE9FAAE64B4A 1 0.3055 0.7274 0.840 0.000 0.000 0.144 0.016
#> F9DD688C-7B35-49E7-9651-2E098EE78856 4 0.4392 0.4070 0.380 0.000 0.000 0.612 0.008
#> F1265DD8-5ED3-4635-A277-57BBFDEC7729 1 0.4674 0.2435 0.568 0.000 0.000 0.416 0.016
#> F624E8D9-DB07-4C9E-910D-5E8EBA3A6167 2 0.3582 0.7396 0.008 0.768 0.000 0.000 0.224
#> 3516FBDF-66E1-43F4-9D7B-16748F6439A7 2 0.0794 0.8393 0.000 0.972 0.000 0.000 0.028
#> 04B12992-B2EA-4BA2-8E2C-11E34E230E6F 2 0.4966 0.4301 0.032 0.564 0.000 0.000 0.404
#> CC02897D-9123-495E-9242-5C9CF4EC269B 2 0.0963 0.8396 0.000 0.964 0.000 0.000 0.036
#> 3117ED46-2BF2-4311-BC00-4E98243E16B3 1 0.0566 0.7192 0.984 0.000 0.012 0.004 0.000
#> E0B66D53-23DB-4E26-BB6E-F692FA8C000E 1 0.1197 0.7332 0.952 0.000 0.000 0.048 0.000
#> DAA93CE5-A013-477A-9A50-EA09CC3A8162 2 0.1408 0.8218 0.000 0.948 0.044 0.000 0.008
#> 0099098D-354A-4276-92F8-B932C74B4608 1 0.2971 0.7193 0.836 0.000 0.000 0.156 0.008
#> DD483639-B2E7-4745-BCFB-55ED1D82BFBF 2 0.0794 0.8323 0.000 0.972 0.000 0.000 0.028
#> 2C1F9079-602E-4252-82C7-9D8799E04246 2 0.3177 0.7593 0.000 0.792 0.000 0.000 0.208
#> 9473A8E4-3A1B-4184-9EA6-517AFD60B635 3 0.0162 0.7150 0.004 0.000 0.996 0.000 0.000
#> 75CFBAF6-7BA0-40AF-92D7-D218E885BD1B 2 0.0794 0.8323 0.000 0.972 0.000 0.000 0.028
#> B588950F-14D6-41C8-845B-EFD2096013C6 2 0.3305 0.7464 0.000 0.776 0.000 0.000 0.224
#> 0DF3EDA8-DAEA-4721-92AB-B97181249498 3 0.3039 0.6416 0.000 0.152 0.836 0.000 0.012
#> 8EA83042-D598-401D-AD78-936EEB136C59 4 0.0000 0.7249 0.000 0.000 0.000 1.000 0.000
#> 729AC418-3BE9-445A-95D4-AC11A7D43BE0 4 0.0000 0.7249 0.000 0.000 0.000 1.000 0.000
#> 7D8B1B11-F576-4AA8-BFA7-0022A2CD829A 2 0.3305 0.7444 0.000 0.776 0.000 0.000 0.224
#> 304A0E46-3449-4B44-9C30-BDDF6459391D 1 0.1557 0.7342 0.940 0.000 0.000 0.052 0.008
#> 3C83358F-DF20-47F7-AF9F-AB7CC92F5ABA 3 0.2513 0.6196 0.116 0.000 0.876 0.008 0.000
#> EAFEED6C-35C3-451F-AE4A-EB56992E1F29 5 0.4297 0.0711 0.472 0.000 0.000 0.000 0.528
#> 8A237A65-28EC-434D-A78A-A8B7308B5204 4 0.4182 0.4879 0.352 0.000 0.000 0.644 0.004
#> D005833F-E991-4E9E-9667-55F137288004 4 0.2068 0.7215 0.092 0.000 0.000 0.904 0.004
#> 37D966E3-253E-4397-A9AE-0903A8D31FE6 4 0.0000 0.7249 0.000 0.000 0.000 1.000 0.000
#> D2482B81-CB5B-4178-BA8D-1CF4026181B5 1 0.2077 0.7355 0.908 0.000 0.000 0.084 0.008
#> 18019E95-C2A8-4EE7-B585-F6886DC4D953 3 0.3857 0.5214 0.000 0.312 0.688 0.000 0.000
#> 0B126D1A-14A8-4345-8F78-FF92222ADF4C 3 0.6685 0.3666 0.000 0.376 0.388 0.000 0.236
#> CE88B625-47D8-4D58-9FB4-23464DB7DDAD 2 0.1965 0.8276 0.000 0.904 0.000 0.000 0.096
#> 9A88299D-5C74-47FA-B42C-1A1D6D935AAB 1 0.0963 0.7028 0.964 0.000 0.000 0.000 0.036
#> 3E71159C-FD6C-41DA-B18B-0730C8AC7E41 1 0.0000 0.7162 1.000 0.000 0.000 0.000 0.000
#> 6F245AA4-79D9-47E1-BCC9-1AAF65AEA813 1 0.0912 0.7185 0.972 0.000 0.000 0.012 0.016
#> 4CF2C888-2100-483A-B4DB-ECBB69243A4D 2 0.5711 0.5261 0.136 0.612 0.000 0.000 0.252
#> A3853813-B9D5-4E8C-B075-19FCC35F8686 5 0.4840 0.4585 0.124 0.152 0.000 0.000 0.724
#> 83A16DEE-CE9F-4D8B-9225-0A2A8B9D055D 1 0.3970 0.3768 0.752 0.024 0.000 0.000 0.224
#> 0F057CAF-4F9A-4DE9-8601-730E96873733 2 0.2329 0.8155 0.000 0.876 0.000 0.000 0.124
#> 32D5801D-DBA4-422E-87CB-A2DDE921BA41 1 0.5110 0.4362 0.660 0.000 0.288 0.028 0.024
#> 22EE8076-F07C-499A-9AF8-D800A77EF154 2 0.2020 0.8271 0.000 0.900 0.000 0.000 0.100
#> DD4BD74D-D48C-4090-9F57-5334E784581C 1 0.1430 0.7351 0.944 0.000 0.004 0.052 0.000
#> 41183565-434D-474C-B1BD-CA6E94910658 3 0.6057 0.3523 0.000 0.224 0.576 0.000 0.200
#> 75A2CE41-2B2A-4346-927E-ACF8A72738E4 4 0.3395 0.6548 0.236 0.000 0.000 0.764 0.000
#> 7AA24995-3DD2-4682-B36A-4EBFEEACF625 4 0.4574 0.3103 0.412 0.000 0.000 0.576 0.012
#> 8BAFDFEC-9F26-4ADB-95CE-004143960EEB 1 0.3482 0.7276 0.844 0.000 0.052 0.096 0.008
#> A330E011-CE08-4A85-8F4B-370592293DBB 1 0.4441 0.6359 0.720 0.000 0.000 0.236 0.044
#> 1D5A5B17-2E70-4BB0-94A1-EC17E6EA49DB 1 0.4645 0.5864 0.688 0.000 0.000 0.268 0.044
#> BD9143B8-9D97-4A05-872C-3FB82B4CF7BE 2 0.0404 0.8357 0.000 0.988 0.000 0.000 0.012
#> 64552DC0-181E-4607-898C-787AA7F26435 2 0.3109 0.7651 0.000 0.800 0.000 0.000 0.200
#> 1B4C4D41-34C7-43A3-858B-C9552EB53894 4 0.1197 0.7275 0.048 0.000 0.000 0.952 0.000
#> 463A3BAA-02DC-4EA4-A644-B924163E425D 2 0.2020 0.8257 0.000 0.900 0.000 0.000 0.100
#> CD0FEA89-6F60-4A20-8FCA-D397B4E95A98 1 0.6232 0.1702 0.492 0.000 0.000 0.152 0.356
#> 5D06CF6D-F4B9-4B32-B055-8AB287E53340 2 0.4306 0.2604 0.000 0.508 0.000 0.000 0.492
#> ADA7835F-DB67-4F4F-9446-8BCE3C5FE936 2 0.0880 0.8308 0.000 0.968 0.000 0.000 0.032
#> 4109BE2D-B5DF-4BD7-860E-60D87F647152 2 0.2971 0.7600 0.000 0.836 0.000 0.156 0.008
#> 88526A0E-6DFE-46CB-BFAD-B4826F482C67 4 0.6565 0.1731 0.360 0.000 0.180 0.456 0.004
#> F39F9A4C-18F7-4017-AB31-85D52FF44587 2 0.2424 0.8118 0.000 0.868 0.000 0.000 0.132
#> D4290A5E-1B24-4C55-B470-0FA7A0A09DD0 2 0.0794 0.8323 0.000 0.972 0.000 0.000 0.028
#> DC5A2C9E-978F-4661-B729-1F9662976E27 1 0.0963 0.7106 0.964 0.000 0.000 0.000 0.036
#> 26A1F392-CED2-43E3-8096-74E6F2BFC8C0 2 0.0880 0.8308 0.000 0.968 0.000 0.000 0.032
#> 87D81FB2-306A-4E75-9D58-D5F48E46E7F6 2 0.0794 0.8391 0.000 0.972 0.000 0.000 0.028
#> E3D9D81A-C20C-4B3B-B940-A5D2C5F65B22 3 0.6102 0.5672 0.000 0.200 0.568 0.000 0.232
#> 4464650B-453F-476C-989C-B7B159BF2CF0 2 0.0510 0.8350 0.000 0.984 0.000 0.000 0.016
#> 577D2867-B738-487A-9B06-07958D647F02 4 0.2424 0.7134 0.132 0.000 0.000 0.868 0.000
#> E52A22CC-3C03-41A9-9541-220DD871E162 2 0.0404 0.8357 0.000 0.988 0.000 0.000 0.012
#> 642703B1-AF99-4746-A915-0792F4B9590B 2 0.2280 0.8175 0.000 0.880 0.000 0.000 0.120
#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0404 0.8388 0.000 0.988 0.000 0.000 0.012
#> 765AFFC1-D528-4494-8BA1-0706451E4205 3 0.4361 0.6738 0.000 0.108 0.768 0.000 0.124
#> A716BC29-161F-4CA0-B240-00B330137F2C 1 0.2439 0.7326 0.876 0.000 0.004 0.120 0.000
#> 32CBFBAF-7064-4595-8D54-2C5E7DE0FD9B 4 0.0000 0.7249 0.000 0.000 0.000 1.000 0.000
#> 4D6ED28C-3F20-41B0-BA41-1BF0E5199A40 2 0.2719 0.7710 0.000 0.852 0.000 0.144 0.004
#> 86A38456-2900-48FB-B10F-79222B3CA9BF 4 0.4210 0.0217 0.000 0.412 0.000 0.588 0.000
#> E870807D-3223-4A6A-9E3D-F4461B048AA2 2 0.4182 0.4954 0.000 0.600 0.000 0.000 0.400
#> 3A78D19F-A833-4D2C-8387-FB4FD4A8313C 1 0.0703 0.7262 0.976 0.000 0.000 0.024 0.000
#> DFA162CA-C708-4121-8E74-F9C4DEE0CDAE 1 0.3621 0.5620 0.788 0.000 0.000 0.192 0.020
#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.1908 0.8284 0.000 0.908 0.000 0.000 0.092
#> 13E11D15-A90F-48C4-980A-DD032C00A2C1 3 0.4620 0.2206 0.392 0.000 0.592 0.000 0.016
#> 31BF80AB-FEDB-4C73-89C3-70BE9F9ACBEE 2 0.1410 0.8359 0.000 0.940 0.000 0.000 0.060
#> FA34308A-349D-4AAD-94CF-3F3B7F9AD629 2 0.1608 0.8345 0.000 0.928 0.000 0.000 0.072
#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 1 0.4686 0.4539 0.756 0.008 0.124 0.000 0.112
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.2629 0.7291 0.860 0.000 0.000 0.136 0.004
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0703 0.8335 0.000 0.976 0.000 0.000 0.024
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.3398 0.6799 0.780 0.000 0.000 0.216 0.004
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0794 0.8323 0.000 0.972 0.000 0.000 0.028
#> BCC474D8-08FE-4E99-B8E8-B29E65F84D2E 4 0.0880 0.7213 0.032 0.000 0.000 0.968 0.000
#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 3 0.6436 0.5069 0.000 0.264 0.504 0.000 0.232
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.1544 0.8346 0.000 0.932 0.000 0.000 0.068
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0794 0.8323 0.000 0.972 0.000 0.000 0.028
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.7249 0.000 0.000 0.000 1.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.4291 0.0612 0.536 0.000 0.000 0.000 0.464
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 1 0.4404 0.2866 0.704 0.032 0.000 0.000 0.264
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 5 0.3913 0.2539 0.000 0.324 0.000 0.000 0.676
#> 26311920-1414-4EC1-870B-784961EBCC2D 4 0.4327 0.4182 0.360 0.000 0.000 0.632 0.008
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2970 0.6626 0.828 0.000 0.000 0.004 0.168
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0794 0.8323 0.000 0.972 0.000 0.000 0.028
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.1341 0.8181 0.000 0.944 0.000 0.000 0.056
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.4287 0.0733 0.540 0.000 0.000 0.000 0.460
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 5 0.4762 0.4130 0.064 0.236 0.000 0.000 0.700
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1493 0.7293 0.948 0.000 0.000 0.028 0.024
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 0C0AA0B2-5191-4EDF-8937-ED7434F30283 2 0.5629 0.07820 0.000 0.472 0.000 0.000 0.152 0.376
#> 18B45F1F-234F-45CC-A234-145307606C5C 1 0.4144 0.51146 0.620 0.000 0.000 0.360 0.000 0.020
#> E18B70C0-BDCA-46D3-99BB-C6C8ABC68DA5 2 0.4774 0.54448 0.000 0.672 0.000 0.000 0.136 0.192
#> 0F6DDBA7-6F74-45E8-95C8-F28263D55978 1 0.1353 0.81706 0.952 0.000 0.000 0.012 0.024 0.012
#> 7EAE1A5A-129A-46DE-977E-A2C753F10904 2 0.5196 0.24167 0.000 0.504 0.000 0.000 0.404 0.092
#> 7EAE0048-16B5-4979-9410-16CDEB9B1A48 1 0.2594 0.79961 0.884 0.000 0.000 0.072 0.028 0.016
#> 2EBFC828-2B27-4753-A052-80DDA226DAB4 2 0.1958 0.74714 0.000 0.896 0.000 0.000 0.100 0.004
#> 24E1768D-2232-41DA-9383-BC55D6EB3812 2 0.5050 0.15738 0.000 0.508 0.076 0.000 0.416 0.000
#> 6E3CD60A-1889-4CA3-B305-2E78152057B5 2 0.1957 0.72116 0.000 0.888 0.000 0.112 0.000 0.000
#> 33CC70DD-82B3-413C-B3B1-BE06634D95D0 5 0.5451 0.45364 0.308 0.000 0.000 0.000 0.544 0.148
#> F1CB57A3-55DD-4487-9307-1B4F652E729A 1 0.1633 0.81861 0.932 0.000 0.000 0.000 0.024 0.044
#> 755A5806-B054-449A-93DB-79909E6C93A1 4 0.0000 0.88253 0.000 0.000 0.000 1.000 0.000 0.000
#> 58D364E7-3D2F-468F-A264-D6461E2428D4 2 0.1501 0.75908 0.000 0.924 0.000 0.000 0.076 0.000
#> 68BB9CB6-7AA2-4981-B9D9-07363EC96599 2 0.4819 0.19186 0.000 0.528 0.056 0.000 0.416 0.000
#> 3C4E8DFA-8EA0-4F1F-89CB-CB8805395872 2 0.4916 0.17835 0.000 0.520 0.064 0.000 0.416 0.000
#> 4219651D-5583-4498-BF08-1B7D04B4C7B2 1 0.1257 0.81273 0.952 0.000 0.000 0.000 0.028 0.020
#> B5EE2768-0D67-4584-ADBC-EC745FEC52EA 2 0.1779 0.75896 0.000 0.920 0.000 0.000 0.064 0.016
#> 825E6C11-F460-451A-8045-846DD7D0E945 5 0.5530 0.38414 0.364 0.000 0.000 0.000 0.496 0.140
#> 491F62AF-5E68-43C3-982A-F867A75BBA9A 2 0.0858 0.77360 0.000 0.968 0.000 0.000 0.028 0.004
#> 9D7F058C-F95A-44AD-AC9E-450F7FBDC960 2 0.5591 0.33843 0.000 0.548 0.000 0.000 0.228 0.224
#> 6D42DD0C-2081-4742-BA27-9F5F16FAC3C6 4 0.0000 0.88253 0.000 0.000 0.000 1.000 0.000 0.000
#> EDD7E63D-492A-473B-A552-0764337B10EF 2 0.4348 0.24556 0.000 0.560 0.024 0.000 0.416 0.000
#> 97073DEA-73AD-4DFD-BD1A-9035DC03445B 1 0.5156 0.31457 0.580 0.000 0.000 0.000 0.308 0.112
#> FA891AB9-CE38-4F7E-A015-1DDCE12890A0 1 0.1962 0.82088 0.924 0.000 0.000 0.028 0.020 0.028
#> D9514D49-A0AE-45AB-8C9F-68E726215253 1 0.1578 0.81990 0.936 0.000 0.000 0.048 0.004 0.012
#> 3B9229AD-12E5-451E-9D2F-378AAC82C04A 2 0.1007 0.76957 0.000 0.956 0.000 0.000 0.044 0.000
#> 5EA36B71-4917-4EF3-9060-065EFE6ACC5B 3 0.1225 0.79742 0.036 0.000 0.952 0.000 0.000 0.012
#> A20E4ECB-4895-4CC7-BE5E-4721B20D933B 6 0.4488 0.38361 0.164 0.000 0.000 0.128 0.000 0.708
#> 1BE8D828-29DB-4368-AA4A-FB23588F7AE8 6 0.3151 0.35616 0.252 0.000 0.000 0.000 0.000 0.748
#> 66EFEFCF-3D14-4DBF-AA13-530F40ED0245 6 0.4685 0.22852 0.240 0.000 0.000 0.000 0.096 0.664
#> 55DFFE53-BCE7-4EC1-9863-6C0311B06BA2 2 0.2883 0.58915 0.000 0.788 0.000 0.000 0.212 0.000
#> 4CC3FB5A-611D-4C64-AE9D-544FA45CF4DC 1 0.4945 0.57121 0.620 0.000 0.000 0.084 0.004 0.292
#> C11D33F2-DFE9-4FA8-9024-F3E7F1DADC5F 2 0.5979 0.08516 0.000 0.440 0.308 0.000 0.252 0.000
#> FA5932B8-8AA3-4C38-9FAB-C35D8772974D 1 0.3817 0.71955 0.792 0.000 0.000 0.008 0.100 0.100
#> 8216EC35-1F41-4A15-B503-BDA4971E27C9 1 0.3513 0.70922 0.796 0.000 0.000 0.000 0.144 0.060
#> 69635D23-90A7-4BAD-97C7-B79536837F57 1 0.0993 0.81626 0.964 0.000 0.000 0.000 0.024 0.012
#> 12B404E2-C463-4409-8392-E4649B2AFFD1 2 0.4724 0.35654 0.000 0.592 0.000 0.000 0.060 0.348
#> 246927E3-ACCF-41B2-AA8E-43855FD6B146 2 0.0146 0.77547 0.000 0.996 0.000 0.000 0.004 0.000
#> E0CC13E7-9607-49E0-B4AA-395544E3C3BF 1 0.2234 0.80415 0.872 0.000 0.000 0.124 0.000 0.004
#> F7BBC0C1-6124-4A83-8A70-EA89B62F1CBD 1 0.3844 0.60768 0.676 0.000 0.000 0.312 0.004 0.008
#> B1D4FF24-8E6F-4A04-B716-2032D850EB57 1 0.2649 0.81029 0.884 0.000 0.000 0.028 0.024 0.064
#> 253601DB-B78A-4566-9947-8C0270C0B163 2 0.3897 0.52567 0.000 0.696 0.000 0.000 0.024 0.280
#> AB83DBFF-5737-4FB8-A5AC-1D3CD6072BDF 3 0.0260 0.80788 0.000 0.000 0.992 0.000 0.000 0.008
#> 9D67D953-EC98-4B72-89C8-5732BC9D4BC9 2 0.3784 0.55650 0.000 0.680 0.000 0.000 0.308 0.012
#> 51061018-95AB-4278-886F-F69E4EBC47C0 3 0.0260 0.80788 0.000 0.000 0.992 0.000 0.000 0.008
#> ABD0F7F3-105B-4DEE-9889-5028772C519A 1 0.4274 0.56637 0.636 0.000 0.000 0.024 0.004 0.336
#> 562B95CF-B27E-4A72-B7C6-CDF86A51A39B 1 0.2525 0.80657 0.876 0.000 0.000 0.012 0.012 0.100
#> ABF046A4-D7A1-49FF-B6B1-4E07A791DEDB 2 0.0146 0.77547 0.000 0.996 0.000 0.000 0.004 0.000
#> 3FF4101E-9703-460E-A30E-76CC7689F36D 2 0.0000 0.77598 0.000 1.000 0.000 0.000 0.000 0.000
#> 39C4F7AA-7ADF-4F1D-BDA3-BEC605AC5023 6 0.4800 0.00442 0.000 0.448 0.000 0.000 0.052 0.500
#> CB821FD2-AF5C-4743-A70F-21C12C6ED153 1 0.4144 0.51330 0.620 0.000 0.000 0.360 0.000 0.020
#> 92EA1846-62FF-41D5-A441-5E52E6B9E7F9 1 0.1268 0.82444 0.952 0.000 0.000 0.008 0.004 0.036
#> 7D25F3EE-5A20-4763-8026-16A03D05F459 1 0.3898 0.60714 0.652 0.000 0.000 0.336 0.012 0.000
#> 8ECE5276-CD06-496B-A5A9-1713B1F7D089 1 0.1036 0.82343 0.964 0.000 0.000 0.024 0.004 0.008
#> C775B68F-9507-47E3-B507-B433AED79002 3 0.2680 0.71624 0.108 0.000 0.860 0.000 0.032 0.000
#> E19D5463-FDD0-41C1-A170-323736A88D07 2 0.4645 0.49694 0.000 0.648 0.276 0.000 0.076 0.000
#> CE4B6285-4961-4767-91F0-5C7A8162E185 4 0.0000 0.88253 0.000 0.000 0.000 1.000 0.000 0.000
#> 9637BD72-1FEF-42AD-8886-2C39BE876531 4 0.0000 0.88253 0.000 0.000 0.000 1.000 0.000 0.000
#> 81B5A88E-45A0-4B44-B689-B9071B8548EE 3 0.3109 0.58877 0.000 0.224 0.772 0.000 0.000 0.004
#> 0B01B4C9-9BED-4F5B-A3E2-8868C7CCC3FC 3 0.3756 0.57079 0.000 0.000 0.600 0.000 0.400 0.000
#> 54501315-7132-44B2-A179-10FBF1421105 1 0.1452 0.81764 0.948 0.000 0.000 0.012 0.020 0.020
#> E207CBE9-4C3A-4FDD-9251-CFE1FE106475 3 0.0000 0.80772 0.000 0.000 1.000 0.000 0.000 0.000
#> 3BEA0B92-3F90-4DBF-9679-AADEAD7D47C8 2 0.1480 0.76460 0.000 0.940 0.000 0.000 0.020 0.040
#> 35B32250-D854-4215-AA5B-2C11B2FBEECA 1 0.4028 0.60776 0.668 0.000 0.000 0.308 0.000 0.024
#> ACE6566B-AEB9-426C-924A-B382D14A1024 2 0.0547 0.77565 0.000 0.980 0.000 0.000 0.020 0.000
#> 737E69AC-0930-45B9-B6BA-7CE5E300290B 1 0.2557 0.79623 0.892 0.000 0.004 0.012 0.056 0.036
#> B4410AB8-D015-41CA-86E6-12EB4E4103E3 1 0.1760 0.81984 0.928 0.000 0.000 0.048 0.004 0.020
#> 6D3ECA65-C50F-43B0-B75A-1D290FA4A8FD 2 0.0508 0.77575 0.000 0.984 0.000 0.000 0.012 0.004
#> C86F40D3-9A96-4395-A8C3-510DE12F9A2B 5 0.5754 0.27090 0.008 0.240 0.000 0.000 0.552 0.200
#> 6238087F-24DD-4BF1-903F-3BD4E446C1AE 2 0.0146 0.77547 0.000 0.996 0.000 0.000 0.004 0.000
#> E4FF840B-EEAB-4CB0-A690-7D4C4AA7EEC3 2 0.0972 0.77072 0.000 0.964 0.000 0.000 0.008 0.028
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#> 8F0D1792-1284-45E6-8EC4-392596057677 2 0.0146 0.77607 0.000 0.996 0.000 0.000 0.000 0.004
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#> C00A300A-CD10-4C9D-8C94-3901AFE8406C 2 0.2877 0.70203 0.000 0.820 0.000 0.000 0.168 0.012
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#> 7C48D467-B663-49DD-BC84-A36BC32ACB3D 5 0.5843 0.46928 0.248 0.000 0.016 0.000 0.556 0.180
#> BB068534-04F6-4FC9-9087-CDA65920BCE2 1 0.1313 0.82289 0.952 0.000 0.000 0.028 0.016 0.004
#> EA4EC272-A9B3-4B2E-955F-19F7676A944C 2 0.0458 0.77604 0.000 0.984 0.000 0.000 0.016 0.000
#> C71FF69B-A460-43CA-8769-9667F22D938B 1 0.1552 0.82194 0.940 0.000 0.000 0.036 0.020 0.004
#> 5243D1B8-8168-4FF1-A8C6-505F080EF0D3 2 0.0000 0.77598 0.000 1.000 0.000 0.000 0.000 0.000
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#> 04FDBFE3-4CF6-4E53-A2AA-89D5C9316377 5 0.6044 -0.28889 0.000 0.276 0.308 0.000 0.416 0.000
#> 83A9915C-8D60-4CAE-A868-B61E3C90C7B0 2 0.1644 0.75832 0.000 0.920 0.000 0.000 0.076 0.004
#> 989A6472-E3E3-457A-97BE-CCE95F42D5C2 2 0.0146 0.77547 0.000 0.996 0.000 0.000 0.004 0.000
#> A0AB2D28-6751-49C9-8DF4-66FDBF95C360 4 0.0000 0.88253 0.000 0.000 0.000 1.000 0.000 0.000
#> A12B2683-18D4-41C9-8AE5-C143E2180052 1 0.3582 0.70567 0.732 0.000 0.000 0.000 0.016 0.252
#> 8DE1E245-CAD2-4F11-BFA2-9792C433A00B 5 0.5620 0.45794 0.212 0.000 0.004 0.000 0.564 0.220
#> FDA68036-6C4C-4256-9AA0-C01FE92AA098 6 0.2877 0.45225 0.000 0.168 0.000 0.000 0.012 0.820
#> 26311920-1414-4EC1-870B-784961EBCC2D 1 0.3404 0.72755 0.744 0.000 0.000 0.248 0.004 0.004
#> C29A10D6-D598-4286-B5E0-F1776E19E988 1 0.2165 0.80961 0.884 0.000 0.000 0.000 0.008 0.108
#> FACCC1FB-4937-4CC0-90EA-7F91D3D939CF 2 0.0146 0.77547 0.000 0.996 0.000 0.000 0.004 0.000
#> 90B9D84B-78E5-4C7E-8414-EC889C2DE8DB 2 0.0146 0.77547 0.000 0.996 0.000 0.000 0.004 0.000
#> B74E6122-76E1-4E4D-A867-BCAFD7277393 1 0.3558 0.70935 0.736 0.000 0.000 0.000 0.016 0.248
#> 98494DC0-CF6E-485F-8A0D-D80E4437EF5C 6 0.3135 0.46383 0.008 0.164 0.004 0.000 0.008 0.816
#> DA114DAC-DE7B-4E43-8D7C-82C5D7B66411 1 0.1088 0.82373 0.960 0.000 0.000 0.000 0.016 0.024
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